LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness between Named Entities. - Wenlei Zhou; Haofen Wang; Jiansong Chao; Weinan Zhang 001; Yong Yu 001 (JIST, 2011)

Feature-Based Matrix Factorization - Tianqi Chen 001; Zhao Zheng; Qiuxia Lu; Weinan Zhang 001; Yong Yu 001 (CoRR, 2011)

Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. - Bing Cheng; Tianqi Chen 001; Diyi Yang; Weinan Zhang 001; Yongqiang Wang; Yong Yu 001 (APWeb, 2012)

A Semantic-Driven Music Recommendation Model for Digital Photo Albums. - Jiansong Chao; Haofen Wang; Wenlei Zhou; Weinan Zhang 001; Yong Yu 001 (CSWS, 2012)

Joint optimization of bid and budget allocation in sponsored search. - Weinan Zhang 001; Ying Zhang 015; Bin Gao 001; Yong Yu 001; Xiaojie Yuan; Tie-Yan Liu (KDD, 2012)

Local implicit feedback mining for music recommendation. - Diyi Yang; Tianqi Chen 001; Weinan Zhang 001; Qiuxia Lu; Yong Yu 001 (RecSys, 2012)

A semantic approach to recommending text advertisements for images. - Weinan Zhang 001; Li Tian; Xinruo Sun; Haofen Wang; Yong Yu 001 (RecSys, 2012)

MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data. - Li Tian; Weinan Zhang 001; Haofen Wang; Chenyang Wu 002; Yuan Ni; Feng Cao; Yong Yu 001 (ISWC (Posters & Demos), 2012)

Collaborative filtering with short term preferences mining. - Diyi Yang; Tianqi Chen 001; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2012)

Serendipitous Personalized Ranking for Top-N Recommendation. - Qiuxia Lu; Tianqi Chen 001; Weinan Zhang 001; Diyi Yang; Yong Yu 001 (Web Intelligence, 2012)

SVDFeature: a toolkit for feature-based collaborative filtering. - Tianqi Chen 001; Weinan Zhang 001; Qiuxia Lu; Kailong Chen; Zhao Zheng; Yong Yu 001 (J. Mach. Learn. Res., 2012)

Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia. - Weinan Zhang 001; Dingquan Wang; Gui-Rong Xue; Hongyuan Zha (ACM Trans. Intell. Syst. Technol., 2012)

An empirical study of top-n recommendation for venture finance. - Thomas Stone; Weinan Zhang 001; Xiaoxue Zhao (CIKM, 2013)

Interactive collaborative filtering. - Xiaoxue Zhao; Weinan Zhang 001; Jun Wang 012 (CIKM, 2013)

To personalize or not: a risk management perspective. - Weinan Zhang 001; Jun Wang 012; Bowei Chen 001; Xiaoxue Zhao (RecSys, 2013)

Optimizing top-n collaborative filtering via dynamic negative item sampling. - Weinan Zhang 001; Tianqi Chen 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2013)

MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine. - Li Tian; Weinan Zhang 001; Antonis Bikakis; Haofen Wang; Yong Yu 001; Yuan Ni; Feng Cao (Web Intelligence, 2013)

Optimal real-time bidding for display advertising. - Weinan Zhang 001; Shuai Yuan 002; Jun Wang 012 (KDD, 2014)

Real-Time Bidding Benchmarking with iPinYou Dataset. - Weinan Zhang 001; Shuai Yuan 002; Jun Wang 012 (CoRR, 2014)

Bid keyword suggestion in sponsored search based on competitiveness and relevance. - Ying Zhang 015; Weinan Zhang 001; Bin Gao 001; Xiaojie Yuan; Tie-Yan Liu (Inf. Process. Manag., 2014)

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails. - Weinan Zhang 001; Amr Ahmed 001; Jie Yang; Vanja Josifovski; Alexander J. Smola (KDD, 2015)

Statistical Arbitrage Mining for Display Advertising. - Weinan Zhang 001; Jun Wang 012 (KDD, 2015)

Risk-Hedged Venture Capital Investment Recommendation. - Xiaoxue Zhao; Weinan Zhang 001; Jun Wang 012 (RecSys, 2015)

An Empirical Study on Display Ad Impression Viewability Measurements. - Weinan Zhang 001; Ye Pan; Tianxiong Zhou; Jun Wang 012 (CoRR, 2015)

Collective Noise Contrastive Estimation for Policy Transfer Learning. - Weinan Zhang 001; Ulrich Paquet; Katja Hofmann (AAAI, 2016)

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. - Kan Ren; Weinan Zhang 001; Yifei Rong; Haifeng Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2016)

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (CIKM, 2016)

Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms. - Jun Wang 012; Shuai Yuan 002; Weinan Zhang 001 (ECIR, 2016)

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation. - Weinan Zhang 001; Lingxi Chen; Jun Wang 012 (ECIR, 2016)

Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. - Weinan Zhang 001; Tianming Du; Jun Wang 012 (ECIR, 2016)

Product-Based Neural Networks for User Response Prediction. - Yanru Qu; Han Cai; Kan Ren; Weinan Zhang 001; Yong Yu 001; Ying Wen 001; Jun Wang 012 (ICDM, 2016)

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising. - Weinan Zhang 001; Tianxiong Zhou; Jun Wang 012; Jian Xu 015 (KDD, 2016)

Functional Bid Landscape Forecasting for Display Advertising. - Yuchen Wang; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ECML/PKDD (1), 2016)

Optimizing Factorization Machines for Top-N Context-Aware Recommendations. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (WISE (1), 2016)

Feedback Control of Real-Time Display Advertising. - Weinan Zhang 001; Yifei Rong; Jun Wang 012; Tianchi Zhu; Xiaofan Wang 001 (WSDM, 2016)

Learning text representation using recurrent convolutional neural network with highway layers. - Ying Wen 001; Weinan Zhang 001; Rui Luo 001; Jun Wang 012 (CoRR, 2016)

Optimal Real-Time Bidding Frameworks Discussion. - Weinan Zhang 001; Kan Ren; Jun Wang 012 (CoRR, 2016)

Optimal real-time bidding for display advertising. - Weinan Zhang 001 (2016)

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. - Lantao Yu; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (AAAI, 2017)

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. - Yiyang Li; Guanyu Tao; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CIKM, 2017)

Volume Ranking and Sequential Selection in Programmatic Display Advertising. - Yuxuan Song; Kan Ren; Han Cai; Weinan Zhang 001; Yong Yu 001 (CIKM, 2017)

An adaptive coding and modulation based multicast scheme to reduce bandwidth consumption in the next generation satellite TV systems. - Junyu Lai; Wei Zhang 056; Jie Zhao; Weinan Zhang 001; Yang Zhang (ICNC, 2017)

Aggregating Crowd Wisdoms with Label-aware Autoencoders. - Li'ang Yin; Jianhua Han; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2017)

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation. - Fajie Yuan; Guibing Guo; Joemon M. Jose; Long Chen 008; Haitao Yu 003; Weinan Zhang 001 (IUI, 2017)

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. - Xuejian Wang; Lantao Yu; Kan Ren; Guanyu Tao; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (KDD, 2017)

Unsupervised Diverse Colorization via Generative Adversarial Networks. - Yun Cao 002; Zhiming Zhou 001; Weinan Zhang 001; Yong Yu 001 (ECML/PKDD (1), 2017)

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models. - Jun Wang 012; Lantao Yu; Weinan Zhang 001; Yu Gong; Yinghui Xu; Benyou Wang; Peng Zhang 002; Dell Zhang (SIGIR, 2017)

Real-Time Bidding by Reinforcement Learning in Display Advertising. - Han Cai; Kan Ren; Weinan Zhang 001; Kleanthis Malialis; Jun Wang 012; Yong Yu 001; Defeng Guo (WSDM, 2017)

Managing Risk of Bidding in Display Advertising. - Haifeng Zhang 002; Weinan Zhang 001; Yifei Rong; Kan Ren; Wenxin Li 005; Jun Wang 012 (WSDM, 2017)

Cataloguing Treatments Discussed and Used in Online Autism Communities. - Shaodian Zhang; Tian Kang; Lin Qiu; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW, 2017)

We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. - Shaodian Zhang; Lin Qiu; Frank Chen; Weinan Zhang 001; Yong Yu 001; Noémie Elhadad (WWW (Companion Volume), 2017)

Reinforcement Learning for Architecture Search by Network Transformation. - Han Cai; Tianyao Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CoRR, 2017)

Adversarial Representation Learning for Domain Adaptation. - Jian Shen 003; Yanru Qu; Weinan Zhang 001; Yong Yu 001 (CoRR, 2017)

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. - Haifeng Zhang 002; Jun Wang 012; Zhiming Zhou 001; Weinan Zhang 001; Ying Wen 001; Yong Yu 001; Wenxin Li 005 (CoRR, 2017)

Generative Adversarial Nets with Labeled Data by Activation Maximization. - Zhiming Zhou 001; Shu Rong; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (CoRR, 2017)

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. - Yaodong Yang 001; Lantao Yu; Yiwei Bai; Jun Wang 012; Weinan Zhang 001; Ying Wen 001; Yong Yu 001 (CoRR, 2017)

Face Transfer with Generative Adversarial Network. - Runze Xu; Zhiming Zhou 001; Weinan Zhang 001; Yong Yu 001 (CoRR, 2017)

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. - Lianmin Zheng; Jiacheng Yang; Han Cai; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (CoRR, 2017)

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting. - Jun Wang 012; Weinan Zhang 001; Shuai Yuan 002 (Found. Trends Inf. Retr., 2017)

Efficient Architecture Search by Network Transformation. - Han Cai; Tianyao Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

Neural Link Prediction over Aligned Networks. - Xuezhi Cao; Haokun Chen; Xuejian Wang; Weinan Zhang 001; Yong Yu 001 (AAAI, 2018)

Long Text Generation via Adversarial Training with Leaked Information. - Jiaxian Guo; Sidi Lu; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

A Neural Stochastic Volatility Model. - Rui Luo 001; Weinan Zhang 001; Xiaojun Xu; Jun Wang 012 (AAAI, 2018)

Wasserstein Distance Guided Representation Learning for Domain Adaptation. - Jian Shen 003; Yanru Qu; Weinan Zhang 001; Yong Yu 001 (AAAI, 2018)

GraphGAN: Graph Representation Learning With Generative Adversarial Nets. - Hongwei Wang 004; Jia Wang 009; Jialin Wang; Miao Zhao; Weinan Zhang 001; Fuzheng Zhang; Xing Xie 001; Minyi Guo (AAAI, 2018)

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. - Lianmin Zheng; Jiacheng Yang; Han Cai; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (AAAI, 2018)

A Study of AI Population Dynamics with Million-agent Reinforcement Learning. - Yaodong Yang 001; Lantao Yu; Yiwei Bai; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (AAMAS, 2018)

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising. - Junqi Jin; Chengru Song; Han Li 005; Kun Gai; Jun Wang 012; Weinan Zhang 001 (CIKM, 2018)

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. - Kan Ren; Yuchen Fang; Weinan Zhang 001; Shuhao Liu 002; Jiajun Li; Ya Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2018)

AceKG: A Large-scale Knowledge Graph for Academic Data Mining. - Ruijie Wang 004; Yuchen Yan; Jialu Wang; Yuting Jia; Ye Zhang; Weinan Zhang 001; Xinbing Wang (CIKM, 2018)

Activation Maximization Generative Adversarial Nets. - Zhiming Zhou 001; Han Cai; Shu Rong; Yuxuan Song; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ICLR (Poster), 2018)

Path-Level Network Transformation for Efficient Architecture Search. - Han Cai; Jiacheng Yang; Weinan Zhang 001; Song Han 003; Yong Yu 001 (ICML, 2018)

Mean Field Multi-Agent Reinforcement Learning. - Yaodong Yang 001; Rui Luo 001; Minne Li; Ming Zhou 006; Weinan Zhang 001; Jun Wang 012 (ICML, 2018)

On the Equilibrium of Query Reformulation and Document Retrieval. - Shihao Zou; Guanyu Tao; Jun Wang 012; Weinan Zhang 001; Dell Zhang (ICTIR, 2018)

Learning to Design Games: Strategic Environments in Reinforcement Learning. - Haifeng Zhang 002; Jun Wang 012; Zhiming Zhou 001; Weinan Zhang 001; Yin Wen; Yong Yu 001; Wenxin Li 005 (IJCAI, 2018)

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. - Zhenghui Wang; Yanru Qu; Liheng Chen; Jian Shen 003; Weinan Zhang 001; Shaodian Zhang; Yimei Gao; Gen Gu; Ken Chen; Yong Yu 001 (NAACL-HLT, 2018)

QA4IE: A Question Answering Based Framework for Information Extraction. - Lin Qiu; Hao Zhou 012; Yanru Qu; Weinan Zhang 001; Suoheng Li; Shu Rong; Dongyu Ru; Lihua Qian; Kewei Tu; Yong Yu 001 (ISWC (1), 2018)

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances. - Weinan Zhang 001 (SIGIR, 2018)

Texygen: A Benchmarking Platform for Text Generation Models. - Yaoming Zhu; Sidi Lu; Lei Zheng; Jiaxian Guo; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2018)

A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. - Huichen Li; Xiaojun Xu; Chang Liu 021; Teng Ren; Kun Wu; Xuezhi Cao; Weinan Zhang 001; Yong Yu 001; Dawn Song (IEEE Symposium on Security and Privacy, 2018)

fBGD: Learning Embeddings From Positive Unlabeled Data with BGD. - Fajie Yuan; Xin Xin 003; Xiangnan He 001; Guibing Guo; Weinan Zhang 001; Tat-Seng Chua; Joemon M. Jose (UAI, 2018)

Improving Negative Sampling for Word Representation using Self-embedded Features. - Long Chen 008; Fajie Yuan; Joemon M. Jose; Weinan Zhang 001 (WSDM, 2018)

A Bootstrapping Framework With Interactive Information Modeling for Network Alignment. - Xuezhi Cao; Weinan Zhang 001; Yong Yu 001 (IEEE Access, 2018)

Pedestrian Detection by Feature Selected Self-Similarity Features. - Xinchuan Fu; Rui Yu; Weinan Zhang 001; Li Feng; Shihai Shao (IEEE Access, 2018)

Collaborative Filtering with Graph-based Implicit Feedback. - Minzhe Niu; Weinan Zhang 001; Yanru Qu; Xuezhi Cao; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (CoRR, 2018)

Neural Text Generation: Past, Present and Beyond. - Sidi Lu; Yaoming Zhu; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (CoRR, 2018)

Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning. - Li He; Liang Wang 015; Kaipeng Liu; Bo Wu; Weinan Zhang 001 (CoRR, 2018)

CoT: Cooperative Training for Generative Modeling. - Sidi Lu; Lantao Yu; Weinan Zhang 001; Yong Yu 001 (CoRR, 2018)

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CoRR, 2018)

Factorized Q-Learning for Large-Scale Multi-Agent Systems. - Yong Chen 008; Ming Zhou 006; Ying Wen 001; Yaodong Yang 001; Yufeng Su; Weinan Zhang 001; Dell Zhang; Jun Wang 012; Han Liu (CoRR, 2018)

TGE-PS: Text-driven Graph Embedding with Pairs Sampling. - Liheng Chen; Yanru Qu; Zhenghui Wang; Lin Qiu; Weinan Zhang 001; Ken Chen; Shaodian Zhang; Yong Yu 001 (CoRR, 2018)

Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps. - Xinchuan Fu; Rui Yu; Weinan Zhang 001; Jie Wu; Shihai Shao (Sensors, 2018)

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. - Kan Ren; Weinan Zhang 001; Ke Chang; Yifei Rong; Yong Yu 001; Jun Wang 012 (IEEE Trans. Knowl. Data Eng., 2018)

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. - Haokun Chen; Xinyi Dai; Han Cai; Weinan Zhang 001; Xuejian Wang; Ruiming Tang; Yuzhou Zhang; Yong Yu 001 (AAAI, 2019)

Academic Reader: An Interactive Question Answering System on Academic Literatures. - Yining Hong; Jialu Wang; Yuting Jia; Weinan Zhang 001; Xinbing Wang (AAAI, 2019)

Deep Recurrent Survival Analysis. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Lin Qiu; Yong Yu 001 (AAAI, 2019)

Dynamically Fused Graph Network for Multi-hop Reasoning. - Lin Qiu; Yunxuan Xiao; Yanru Qu; Hao Zhou 012; Lei Li 005; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2019)

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). - Weinan Zhang 001; Haiming Jin; Lingyu Zhang 001; Hongtu Zhu; Zhenhui Jessie Li; Jieping Ye (CIKM, 2019)

Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds. - Dagui Chen; Junqi Jin; Weinan Zhang 001; Fei Pan; Lvyin Niu; Chuan Yu; Jun Wang 012; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. - Jiarui Jin; Ming Zhou 006; Weinan Zhang 001; Minne Li; Zilong Guo; Zhiwei (Tony) Qin; Yan Jiao; Xiaocheng Tang; Chenxi Wang; Jun Wang 012; Guobin Wu 001; Jieping Ye (CIKM, 2019)

Learning Adaptive Display Exposure for Real-Time Advertising. - Weixun Wang; Junqi Jin; Jianye Hao; Chunjie Chen 004; Chuan Yu; Weinan Zhang 001; Jun Wang 012; Xiaotian Hao; Yixi Wang; Han Li 005; Jian Xu 015; Kun Gai (CIKM, 2019)

CoLight: Learning Network-level Cooperation for Traffic Signal Control. - Hua Wei 001; Nan Xu; Huichu Zhang; Guanjie Zheng; Xinshi Zang; Chacha Chen; Weinan Zhang 001; Yanmin Zhu 006; Kai Xu 014; Zhenhui Li (CIKM, 2019)

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. - Ming Zhou 006; Jiarui Jin; Weinan Zhang 001; Zhiwei (Tony) Qin; Yan Jiao; Chenxi Wang; Guobin Wu 001; Yong Yu 001; Jieping Ye (CIKM, 2019)

Generative adversarial exploration for reinforcement learning. - Weijun Hong; Menghui Zhu; Minghuan Liu; Weinan Zhang 001; Ming Zhou 006; Yong Yu 001; Peng Sun 011 (DAI, 2019)

Factorized Q-learning for large-scale multi-agent systems. - Ming Zhou 006; Yong Chen 008; Ying Wen 001; Yaodong Yang 001; Yufeng Su; Weinan Zhang 001; Dell Zhang; Jun Wang 012 (DAI, 2019)

Exploring Diverse Expressions for Paraphrase Generation. - Lihua Qian; Lin Qiu; Weinan Zhang 001; Xin Jiang 002; Yong Yu 001 (EMNLP/IJCNLP (1), 2019)

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. - Zhiming Zhou 001; Qingru Zhang; Guansong Lu; Hongwei Wang 004; Weinan Zhang 001; Yong Yu 001 (ICLR (Poster), 2019)

CoT: Cooperative Training for Generative Modeling of Discrete Data. - Sidi Lu; Lantao Yu; Siyuan Feng; Yaoming Zhu; Weinan Zhang 001 (ICML, 2019)

Lipschitz Generative Adversarial Nets. - Zhiming Zhou 001; Jiadong Liang; Yuxuan Song; Lantao Yu; Hongwei Wang 004; Weinan Zhang 001; Yong Yu 001; Zhihua Zhang 004 (ICML, 2019)

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. - Zhou Fan; Rui Su; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2019)

TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. - Zheyi Pan; Jie Bao 003; Weinan Zhang 001; Yong Yu 001; Yu Zheng 004 (KDD, 2019)

Deep Landscape Forecasting for Real-time Bidding Advertising. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Yong Yu 001 (KDD, 2019)

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Kan Ren; Jiarui Qin; Yuchen Fang; Weinan Zhang 001; Lei Zheng; Weijie Bian; Guorui Zhou; Jian Xu 015; Yong Yu 001; Xiaoqiang Zhu; Kun Gai (SIGIR, 2019)

Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. - Yaoming Zhu; Juncheng Wan; Zhiming Zhou 001; Liheng Chen; Lin Qiu; Weinan Zhang 001; Xin Jiang 002; Yong Yu 001 (SIGIR, 2019)

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. - Liheng Chen; Yanru Qu; Zhenghui Wang; Lin Qiu; Weinan Zhang 001; Ken Chen; Shaodian Zhang; Yong Yu 001 (WWW, 2019)

CommunityGAN: Community Detection with Generative Adversarial Nets. - Yuting Jia; Qinqin Zhang; Weinan Zhang 001; Xinbing Wang (WWW, 2019)

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. - Huichu Zhang; Siyuan Feng; Chang Liu 021; Yaoyao Ding; Yichen Zhu; Zihan Zhou 002; Weinan Zhang 001; Yong Yu 001; Haiming Jin; Zhenhui Li (WWW, 2019)

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. - Haifeng Zhang 002; Zilong Guo; Weinan Zhang 001; Han Cai; Chris Wang; Yong Yu 001; Wenxin Li 005; Jun Wang 012 (IEEE Access, 2019)

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. - Zhiming Zhou 001; Jian Shen 003; Yuxuan Song; Weinan Zhang 001; Yong Yu 001 (CoRR, 2019)

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. - Yanru Qu; Ting Bai; Weinan Zhang 001; Jian-Yun Nie; Jian Tang 008 (CoRR, 2019)

Signal Instructed Coordination in Team Competition. - Liheng Chen; Hongyi Guo; Haifeng Zhang 002; Fei Fang 001; Yaoming Zhu; Ming Zhou 006; Weinan Zhang 001; Qing Wang; Yong Yu 001 (CoRR, 2019)

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. - Yanru Qu; Bohui Fang; Weinan Zhang 001; Ruiming Tang; Minzhe Niu; Huifeng Guo; Yong Yu 001; Xiuqiang He 001 (ACM Trans. Inf. Syst., 2019)

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. - Haiwen Wang; Ruijie Wang 004; Chuan Wen; Shuhao Li; Yuting Jia; Weinan Zhang 001; Xinbing Wang (AAAI, 2020)

Towards Making the Most of BERT in Neural Machine Translation. - Jiacheng Yang; Mingxuan Wang; Hao Zhou 012; Chengqi Zhao; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (AAAI, 2020)

Bi-Level Actor-Critic for Multi-Agent Coordination. - Haifeng Zhang 002; Weizhe Chen 001; Zeren Huang; Minne Li; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (AAAI, 2020)

Efficient Spectrum-Revealing CUR Matrix Decomposition. - Cheng Chen 015; Ming Gu; Zhihua Zhang 004; Weinan Zhang 001; Yong Yu 001 (AISTATS, 2020)

Sequential Advertising Agent with Interpretable User Hidden Intents. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; Jian Xu 015; et al. (AAMAS, 2020)

U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Xinyi Dai; Jiawei Hou; Qing Liu 020; Yunjia Xi; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Jun Wang 012; Yong Yu 001 (CIKM, 2020)

Learning to Infer User Hidden States for Online Sequential Advertising. - Zhaoqing Peng; Junqi Jin; Lan Luo; Yaodong Yang 001; Rui Luo 001; Jun Wang 012; Weinan Zhang 001; Haiyang Xu; Miao Xu; Chuan Yu; Tiejian Luo; Han Li 005; et al. (CIKM, 2020)

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. - Huichu Zhang; Chang Liu 021; Weinan Zhang 001; Guanjie Zheng; Yong Yu 001 (CIKM, 2020)

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Chongxi Huang; Ying Wen 001; et al. (CoRL, 2020)

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. - Yuxuan Song; Lantao Yu; Zhangjie Cao; Zhiming Zhou 001; Jian Shen 003; Shuo Shao 001; Weinan Zhang 001; Yong Yu 001 (ECAI, 2020)

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. - Dongyu Ru; Jiangtao Feng; Lin Qiu; Hao Zhou 012; Mingxuan Wang; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (EMNLP (Findings), 2020)

Multi-Agent Interactions Modeling with Correlated Policies. - Minghuan Liu; Ming Zhou 006; Weinan Zhang 001; Yuzheng Zhuang; Jun Wang 012; Wulong Liu; Yong Yu 001 (ICLR, 2020)

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. - Chence Shi; Minkai Xu; Zhaocheng Zhu; Weinan Zhang 001; Ming Zhang 004; Jian Tang 005 (ICLR, 2020)

Bidirectional Model-based Policy Optimization. - Hang Lai; Jian Shen 003; Weinan Zhang 001; Yong Yu 001 (ICML, 2020)

Multi-Agent Determinantal Q-Learning. - Yaodong Yang 001; Ying Wen 001; Jun Wang 012; Liheng Chen; Kun Shao; David Mguni; Weinan Zhang 001 (ICML, 2020)

Efficient and Robust High-Dimensional Linear Contextual Bandits. - Cheng Chen 015; Luo Luo; Weinan Zhang 001; Yong Yu 001; Yijiang Lian (IJCAI, 2020)

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. - Weijun Hong; Guilin Li 001; Weinan Zhang 001; Ruiming Tang; Yunhe Wang 001; Zhenguo Li; Yong Yu 001 (IJCAI, 2020)

Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. - Li'ang Yin; Yunfei Liu 002; Weinan Zhang 001; Yong Yu 001 (IJCAI, 2020)

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. - Jiarui Jin; Jiarui Qin; Yuchen Fang; Kounianhua Du; Weinan Zhang 001; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (KDD, 2020)

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. - Bin Liu 072; Chenxu Zhu; Guilin Li 001; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (KDD, 2020)

Model-based Policy Optimization with Unsupervised Model Adaptation. - Jian Shen 003; Han Zhao 002; Weinan Zhang 001; Yong Yu 001 (NeurIPS, 2020)

Efficient Projection-free Algorithms for Saddle Point Problems. - Cheng Chen 015; Luo Luo; Weinan Zhang 001; Yong Yu 001 (NeurIPS, 2020)

GIKT: A Graph-Based Interaction Model for Knowledge Tracing. - Yang Yang 001; Jian Shen 003; Yanru Qu; Yunfei Liu 002; Kerong Wang; Yaoming Zhu; Weinan Zhang 001; Yong Yu 001 (ECML/PKDD (1), 2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang; Alex Beutel (SIGIR, 2020)

A Deep Recurrent Survival Model for Unbiased Ranking. - Jiarui Jin; Yuchen Fang; Weinan Zhang 001; Kan Ren; Guorui Zhou; Jian Xu 015; Yong Yu 001; Jun Wang 012; Xiaoqiang Zhu; Kun Gai (SIGIR, 2020)

User Behavior Retrieval for Click-Through Rate Prediction. - Jiarui Qin; Weinan Zhang 001; Xin Wu; Jiarui Jin; Yuchen Fang; Yong Yu 001 (SIGIR, 2020)

QuAChIE: Question Answering based Chinese Information Extraction System. - Dongyu Ru; Zhenghui Wang; Lin Qiu; Hao Zhou 012; Lei Li 005; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2020)

TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. - Zhengyu Yang 002; Jian Shen 003; Yunfei Liu 002; Yang Yang 001; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2020)

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. - Sijin Zhou; Xinyi Dai; Haokun Chen; Weinan Zhang 001; Kan Ren; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (SIGIR, 2020)

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. - Jiarui Qin; Kan Ren; Yuchen Fang; Weinan Zhang 001; Yong Yu 001 (WSDM, 2020)

QA4IE: A Question Answering Based System for Document-Level General Information Extraction. - Lin Qiu; Dongyu Ru; Quanyu Long; Weinan Zhang 001; Yong Yu 001 (IEEE Access, 2020)

Truth Inference With a Deep Clustering-Based Aggregation Model. - Li'ang Yin; Yunfei Liu 002; Weinan Zhang 001; Yong Yu 001 (IEEE Access, 2020)

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. - Guansong Lu; Zhiming Zhou 001; Jian Shen 003; Cheng Chen 015; Weinan Zhang 001; Yong Yu 001 (CoRR, 2020)

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. - Dongyu Ru; Yating Luo; Lin Qiu; Hao Zhou 012; Lei Li 005; Weinan Zhang 001; Yong Yu 001 (CoRR, 2020)

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training. - Qipeng Guo; Zhijing Jin 001; Xipeng Qiu; Weinan Zhang 001; David Wipf; Zheng Zhang 001 (CoRR, 2020)

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. - Ming Zhou 006; Jun Luo 009; Julian Villela; Yaodong Yang 002; David Rusu; Jiayu Miao; Weinan Zhang 001; Montgomery Alban; Iman Fadakar; Zheng Chen; Aurora Chongxi Huang; Ying Wen 001; et al. (CoRR, 2020)

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. - Jiarui Jin; Kounianhua Du; Weinan Zhang 001; Jiarui Qin; Yuchen Fang; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (CoRR, 2020)

Reciprocal Supervised Learning Improves Neural Machine Translation. - Minkai Xu; Mingxuan Wang; Zhouhan Lin; Hao Zhou 012; Weinan Zhang 001; Lei Li 005 (CoRR, 2020)

Sobolev Wasserstein GAN. - Minkai Xu; Zhiming Zhou 001; Guansong Lu; Jian Tang 005; Weinan Zhang 001; Yong Yu 001 (CoRR, 2020)

Probabilistic robust regression with adaptive weights - a case study on face recognition. - Jin Li; Quan Chen 002; Jingwen Leng; Weinan Zhang 001; Minyi Guo (Frontiers Comput. Sci., 2020)

State representation modeling for deep reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Xutao Li; Weinan Zhang 001; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang; Xiuqiang He 001 (Knowl. Based Syst., 2020)

Data-Driven Multimodal Patrol Planning for Anti-poaching. - Weizhe Chen 001; Weinan Zhang 001; Duo Liu; Weiping Li; Xiaojun Shi; Fei Fang 001 (AAAI, 2021)

Universal Trading for Order Execution with Oracle Policy Distillation. - Yuchen Fang; Kan Ren; Weiqing Liu; Dong Zhou; Weinan Zhang 001; Jiang Bian 002; Yong Yu 001; Tie-Yan Liu (AAAI, 2021)

Glancing Transformer for Non-Autoregressive Neural Machine Translation. - Lihua Qian; Hao Zhou 012; Yu Bao; Mingxuan Wang; Lin Qiu; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (ACL/IJCNLP (1), 2021)

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. - Qipeng Guo; Zhijing Jin 001; Ziyu Wang 006; Xipeng Qiu; Weinan Zhang 001; Jun Zhu 001; Zheng Zhang 001; David Wipf (AISTATS, 2021)

Energy-Based Imitation Learning. - Minghuan Liu; Tairan He; Minkai Xu; Weinan Zhang 001 (AAMAS, 2021)

GAKG: A Multimodal Geoscience Academic Knowledge Graph. - Cheng Deng; Yuting Jia; Hui Xu 011; Chong Zhang; Jingyao Tang; Luoyi Fu; Weinan Zhang 001; Haisong Zhang; Xinbing Wang; Chenghu Zhou (CIKM, 2021)

LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature. - Haiwen Wang; Le Zhou; Weinan Zhang 001; Xinbing Wang (CIKM, 2021)

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. - Liheng Chen; Hongyi Guo; Yali Du 001; Fei Fang 001; Haifeng Zhang 002; Weinan Zhang 001; Yong Yu 001 (DAI, 2021)

Learning Logic Rules for Document-Level Relation Extraction. - Dongyu Ru; Changzhi Sun; Jiangtao Feng; Lin Qiu; Hao Zhou 012; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (EMNLP (1), 2021)

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. - Yutong Xie 007; Chence Shi; Hao Zhou 012; Yuwei Yang; Weinan Zhang 001; Yong Yu 001; Lei Li 005 (ICLR, 2021)

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts. - Weinan Zhang 001; Xihuai Wang; Jian Shen 003; Ming Zhou 006 (IJCAI, 2021)

Deep Learning for Click-Through Rate Estimation. - Weinan Zhang 001; Jiarui Qin; Wei Guo 006; Ruiming Tang; Xiuqiang He 001 (IJCAI, 2021)

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. - Menghui Zhu; Minghuan Liu; Jian Shen 003; Zhicheng Zhang; Sheng Chen; Weinan Zhang 001; Deheng Ye; Yong Yu 001; Qiang Fu 016; Wei Yang 032 (IJCAI, 2021)

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. - Mingcheng Chen; Zhenghui Wang; Zhiyun Zhao; Weinan Zhang 001; Xiawei Guo; Jian Shen 003; Yanru Qu; Jieli Lu; Min Xu; Yu Xu; Tiange Wang; Mian Li; et al. (KDD, 2021)

An Embedding Learning Framework for Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Zhenguo Li; Xiuqiang He 001 (KDD, 2021)

Retrieval & Interaction Machine for Tabular Data Prediction. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (KDD, 2021)

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. - Xiaoqiang Zhu; Kuang-chih Lee; Guorui Zhou; Biye Jiang; Zhe Wang; Ruiming Tang; Kan Ren; Qingyao Ai; Weinan Zhang 001 (KDD, 2021)

ModularNAS: Towards Modularized and Reusable Neural Architecture Search. - Yunfeng Lin; Guilin Li 001; Xing Zhang; Weinan Zhang 001; Bo Chen 023; Ruiming Tang; Zhenguo Li; Jiashi Feng; Yong Yu 001 (MLSys, 2021)

On Effective Scheduling of Model-based Reinforcement Learning. - Hang Lai; Jian Shen 003; Weinan Zhang 001; Yimin Huang; Xing Zhang; Ruiming Tang; Yong Yu 001; Zhenguo Li (NeurIPS, 2021)

Curriculum Offline Imitating Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (NeurIPS, 2021)

Model-Based Offline Policy Optimization with Distribution Correcting Regularization. - Jian Shen 003; Mingcheng Chen; Zhicheng Zhang; Zhengyu Yang 002; Weinan Zhang 001; Yong Yu 001 (ECML/PKDD (1), 2021)

Learning to Build High-Fidelity and Robust Environment Models. - Weinan Zhang 001; Zhengyu Yang 002; Jian Shen 003; Minghuan Liu; Yimin Huang; Xing Zhang; Ruiming Tang; Zhenguo Li (ECML/PKDD (1), 2021)

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. - Weinan Zhang 001; Xiangyu Zhao 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2021)

A Graph-Enhanced Click Model for Web Search. - Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Shuai Li 010; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Yong Yu 001 (SIGIR, 2021)

Tracing Knowledge State with Individual Cognition and Acquisition Estimation. - Ting Long; Yunfei Liu 002; Jian Shen 003; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. - Handong Ma; Jiawei Hou; Chenxu Zhu; Weinan Zhang 001; Ruiming Tang; Jincai Lai; Jieming Zhu; Xiuqiang He 001; Yong Yu 001 (IEEE Access, 2021)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Rongjun Qin; Songyi Gao; Xingyuan Zhang; Zhen Xu; Shengkai Huang; Zewen Li; Weinan Zhang 001; Yang Yu 001 (CoRR, 2021)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Weinan Zhang 001; Jun Wang 012 (CoRR, 2021)

Context-aware Reranking with Utility Maximization for Recommendation. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Qing Liu 020; Xiuqiang He 001; Yong Yu 001 (CoRR, 2021)

Curriculum Offline Imitation Learning. - Minghuan Liu; Hanye Zhao; Zhengyu Yang 002; Jian Shen 003; Weinan Zhang 001; Li Zhao 007; Tie-Yan Liu (CoRR, 2021)

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. - Linghui Meng 001; Muning Wen; Yaodong Yang 001; Chenyang Le; Xiyun Li; Weinan Zhang 001; Ying Wen 001; Haifeng Zhang 002; Jun Wang 012; Bo Xu 002 (CoRR, 2021)

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search. - Sheng Chen; Menghui Zhu; Deheng Ye; Weinan Zhang 001; Qiang Fu 016; Wei Yang 032 (IEEE Trans. Games, 2021)

Learning Graph Representation With Generative Adversarial Nets. - Hongwei Wang 004; Jialin Wang; Jia Wang 009; Miao Zhao; Weinan Zhang 001; Fuzheng Zhang; Wenjie Li 002; Xing Xie 001; Minyi Guo (IEEE Trans. Knowl. Data Eng., 2021)

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. - Ting Long; Yutong Xie 007; Xianyu Chen; Weinan Zhang 001; Qinxiang Cao; Yong Yu 001 (AAAI, 2022)

Nested Named Entity Recognition with Span-level Graphs. - Juncheng Wan; Dongyu Ru; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2022)

Towards Return Parity in Markov Decision Processes. - Jianfeng Chi; Jian Shen 003; Xinyi Dai; Weinan Zhang 001; Yuan Tian 001; Han Zhao 002 (AISTATS, 2022)

Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Yuanbo Chen; Zaifan Jiang; Zekun Zhu; Zhewen Su; Yong Yu 001 (CIKM, 2022)

PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. - Juncheng Wan; Jian Yang 030; Shuming Ma; Dongdong Zhang 001; Weinan Zhang 001; Yong Yu 001; Zhoujun Li 001 (COLING, 2022)

Automatical Graph-based Knowledge Tracing. - Ting Long; Yunfei Liu 002; Weinan Zhang 001; Wei Xia 001; Zhicheng He 001; Ruiming Tang; Yong Yu 001 (EDM, 2022)

Inductive Relation Prediction Using Analogy Subgraph Embeddings. - Jiarui Jin; Yangkun Wang; Kounianhua Du; Weinan Zhang 001; Zheng Zhang 001; David Wipf; Yong Yu 001; Quan Gan (ICLR, 2022)

Why Propagate Alone? Parallel Use of Labels and Features on Graphs. - Yangkun Wang; Jiarui Jin; Weinan Zhang 001; Yongyi Yang; Jiuhai Chen; Quan Gan; Yong Yu 001; Zheng Zhang 001; Zengfeng Huang; David Wipf (ICLR, 2022)

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. - Minghuan Liu; Zhengbang Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICML, 2022)

Heterogeneous Graph Representation for Knowledge Tracing. - Jisen Chen; Jian Shen 003; Ting Long; Liping Shen; Weinan Zhang 001; Yong Yu 001 (ICONIP (1), 2022)

Aggregating Intra-class and Inter-class Information for Multi-label Text Classification. - Xianze Wu; Dongyu Ru; Weinan Zhang 001; Yong Yu 001; Ziming Feng (ICONIP (4), 2022)

Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. - Jiayu Miao; Tianze Zhou; Kun Shao; Ming Zhou 006; Weinan Zhang 001; Jianye Hao; Yong Yu 001; Jun Wang 012 (ICRA, 2022)

Neural Re-ranking in Multi-stage Recommender Systems: A Review. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Fei Sun; Bo Chen 023; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang (IJCAI, 2022)

Goal-Conditioned Reinforcement Learning: Problems and Solutions. - Minghuan Liu; Menghui Zhu; Weinan Zhang 001 (IJCAI, 2022)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer. - Bin Lu 005; Xiaoying Gan; Weinan Zhang 001; Huaxiu Yao; Luoyi Fu; Xinbing Wang (KDD, 2022)

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation. - Bin Lu 005; Xiaoying Gan; Lina Yang; Weinan Zhang 001; Luoyi Fu; Xinbing Wang (KDD, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. - Handong Ma; Jiahang Cao; Yuchen Fang; Weinan Zhang 001; Wenbo Sheng; Shaodian Zhang; Yong Yu 001 (KDD, 2022)

Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. - Chenxu Zhu; Peng Du; Weinan Zhang 001; Yong Yu 001; Yang Cao (KDD, 2022)

User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. - Chenxu Zhu; Peng Du; Xianghui Zhu; Weinan Zhang 001; Yong Yu 001; Yang Cao (KDD, 2022)

Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. - Hua Wei 001; Jingxiao Chen; Xiyang Ji; Hongyang Qin; Minwen Deng; Siqin Li; Liang Wang 015; Weinan Zhang 001; Yong Yu 001; Liu Lin; Lanxiao Huang; Deheng Ye; et al. (NeurIPS, 2022)

Learning Enhanced Representation for Tabular Data via Neighborhood Propagation. - Kounianhua Du; Weinan Zhang 001; Ruiwen Zhou; Yangkun Wang; Xilong Zhao; Jiarui Jin; Quan Gan; Zheng Zhang 001; David P. Wipf (NeurIPS, 2022)

Reinforcement Learning with Automated Auxiliary Loss Search. - Tairan He; Yuge Zhang; Kan Ren; Minghuan Liu; Che Wang; Weinan Zhang 001; Yuqing Yang 001; Dongsheng Li 002 (NeurIPS, 2022)

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning. - Rongjun Qin; Xingyuan Zhang; Songyi Gao; Xiong-Hui Chen; Zewen Li; Weinan Zhang 001; Yang Yu 001 (NeurIPS, 2022)

Bootstrapped Transformer for Offline Reinforcement Learning. - Kerong Wang; Hanye Zhao; Xufang Luo; Kan Ren; Weinan Zhang 001; Dongsheng Li 002 (NeurIPS, 2022)

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. - Muning Wen; Jakub Grudzien Kuba; Runji Lin; Weinan Zhang 001; Ying Wen 001; Jun Wang 012; Yaodong Yang 001 (NeurIPS, 2022)

PerfectDou: Dominating DouDizhu with Perfect Information Distillation. - Guan Yang; Minghuan Liu; Weijun Hong; Weinan Zhang 001; Fei Fang 001; Guangjun Zeng; Yue Lin (NeurIPS, 2022)

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. - Zeren Huang; Wenhao Chen; Weinan Zhang 001; Chuhan Shi; Furui Liu; Hui-Ling Zhen; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (ECML/PKDD (5), 2022)

Neural Statistics for Click-Through Rate Prediction. - Yanhua Huang; Hangyu Wang; Yiyun Miao; Ruiwen Xu; Lei Zhang; Weinan Zhang 001 (SIGIR, 2022)

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. - Jiarui Qin; Jiachen Zhu 001; Bo Chen 023; Zhirong Liu; Weiwen Liu; Ruiming Tang; Rui Zhang 003; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2022)

Multi-Level Interaction Reranking with User Behavior History. - Yunjia Xi; Weiwen Liu; Jieming Zhu; Xilong Zhao; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (SIGIR, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Xiangyu Zhao 001; Xin Xin 003; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2022)

Improving Knowledge Tracing with Collaborative Information. - Ting Long; Jiarui Qin; Jian Shen 003; Weinan Zhang 001; Wei Xia 001; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (WSDM, 2022)

Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Junjie Huang; Ziming Feng; Yong Yu 001 (WWW, 2022)

Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. - Jiarui Jin; Xianyu Chen; Yuanbo Chen; Weinan Zhang 001; Renting Rui; Zaifan Jiang; Zhewen Su; Yong Yu 001 (WWW, 2022)

Phrase-level Adversarial Example Generation for Neural Machine Translation. - Juncheng Wan; Jian Yang 030; Shuming Ma; Dongdong Zhang 001; Weinan Zhang 001; Yong Yu 001; Furu Wei (CoRR, 2022)

Towards Collaborative Question Answering: A Preliminary Study. - Xiangkun Hu; Hang Yan 001; Qipeng Guo; Xipeng Qiu; Weinan Zhang 001; Zheng Zhang 001 (CoRR, 2022)

Efficient Policy Space Response Oracles. - Ming Zhou 006; Jingxiao Chen; Ying Wen 001; Weinan Zhang 001; Yaodong Yang 001; Yong Yu 001 (CoRR, 2022)

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects. - Xihuai Wang; Zhicheng Zhang; Weinan Zhang 001 (CoRR, 2022)

PerfectDou: Dominating DouDizhu with Perfect Information Distillation. - Yang Guan; Minghuan Liu; Weijun Hong; Weinan Zhang 001; Fei Fang 001; Guangjun Zeng; Yue Lin (CoRR, 2022)

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation. - Kounianhua Du; Weinan Zhang 001; Ruiwen Zhou; Yangkun Wang; Xilong Zhao; Jiarui Jin; Quan Gan; Zheng Zhang 001; David Wipf (CoRR, 2022)

Forgetting Fast in Recommender Systems. - Wenyan Liu 001; Juncheng Wan; Xiaoling Wang 004; Weinan Zhang 001; Dell Zhang; Hang Li (CoRR, 2022)

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. - Zhengbang Zhu; Shenyu Zhang; Yuzheng Zhuang; Yuecheng Liu; Minghuan Liu; Liyuan Mao; Ziqing Gong; Weinan Zhang 001; Shixiong Kai; Qiang Gu; Bin Wang 034; Siyuan Cheng 012; et al. (CoRR, 2022)

NeurIPS 2022 Competition: Driving SMARTS. - Amir Rasouli; Randy Goebel; Matthew E. Taylor; Iuliia Kotseruba; Soheil Alizadeh; Tianpei Yang; Montgomery Alban; Florian Shkurti; Yuzheng Zhuang; Adam Scibior; Kasra Rezaee; Animesh Garg; et al. (CoRR, 2022)

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. - Minghuan Liu; Zhengbang Zhu; Menghui Zhu; Yuzheng Zhuang; Weinan Zhang 001; Jianye Hao (CoRR, 2022)

On Realization of Intelligent Decision-Making in the Real World: A Foundation Decision Model Perspective. - Ying Wen 001; Ziyu Wan; Ming Zhou 006; Shufang Hou; Zhe Cao; Chenyang Le; Jingxiao Chen; Zheng Tian 002; Weinan Zhang 001; Jun Wang 012 (CoRR, 2022)

A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. - Handong Ma; Zhecheng Dong; Mingcheng Chen; Wenbo Sheng; Yao Li; Weinan Zhang 001; Shaodian Zhang; Yong Yu 001 (J. Biomed. Informatics, 2022)

Learning to select cuts for efficient mixed-integer programming. - Zeren Huang; Kerong Wang; Furui Liu; Hui-Ling Zhen; Weinan Zhang 001; Mingxuan Yuan; Jianye Hao; Yong Yu 001; Jun Wang 012 (Pattern Recognit., 2022)

Spatio-Temporal Meta Learning for Urban Traffic Prediction. - Zheyi Pan; Wentao Zhang; Yuxuan Liang; Weinan Zhang 001; Yong Yu 001; Junbo Zhang; Yu Zheng 004 (IEEE Trans. Knowl. Data Eng., 2022)

Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. - Lu Wang 029; Lei Han; Xinru Chen; Chengchang Li; Junzhou Huang; Weinan Zhang 001; Wei Zhang 056; Xiaofeng He; Dijun Luo (IEEE Trans. Neural Networks Learn. Syst., 2022)

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. - Xinyi Dai; Yunjia Xi; Weinan Zhang 001; Qing Liu 020; Ruiming Tang; Xiuqiang He 001; Jiawei Hou; Jun Wang 012; Yong Yu 001 (ACM Trans. Inf. Syst., 2022)

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. - Jiarui Jin; Kounianhua Du; Weinan Zhang 001; Jiarui Qin; Yuchen Fang; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (ACM Trans. Inf. Syst., 2022)

Efficient policy evaluation by matrix sketching. - Cheng Chen 015; Weinan Zhang 001; Yong Yu 001 (Frontiers Comput. Sci., 2022)

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. - Xianyu Chen; Jian Shen 003; Wei Xia 001; Jiarui Jin; Yakun Song; Weinan Zhang 001; Weiwen Liu; Menghui Zhu; Ruiming Tang; Kai Dong; Dingyin Xia; Yong Yu 001 (AAAI, 2023)

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. - Yuchen Fang; Kan Ren; Caihua Shan; Yifei Shen; You Li; Weinan Zhang 001; Yong Yu 001; Dongsheng Li 002 (AAAI, 2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin Xin 003; Xiangyu Zhao 001; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (CIKM, 2023)

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Mengyue Yang; Yang Wang 019; Yali Du 001; Yong Yu 001; Jun Wang 012 (CIKM, 2023)

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jian Shen 003; Renting Rui; Weinan Zhang 001; Xianyu Chen; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. - Weitong Ou; Bo Chen 023; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Wei Xia 001; Xuan Li; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset. - Jiexing Qi; Shuhao Li; Zhixin Guo; Yusheng Huang; Chenghu Zhou; Weinan Zhang 001; Xinbing Wang; Zhouhan Lin (ICASSP, 2023)

Personalized Diversification for Neural Re-ranking in Recommendation. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Xinyi Dai; Ruiming Tang; Shuai Li 010; Weinan Zhang 001; Rui Zhang 003 (ICDE, 2023)

Visual Imitation Learning with Patch Rewards. - Minghuan Liu; Tairan He; Weinan Zhang 001; Shuicheng Yan; Zhongwen Xu (ICLR, 2023)

Order Matters: Agent-by-agent Policy Optimization. - Xihuai Wang; Zheng Tian 002; Ziyu Wan; Ying Wen 001; Jun Wang 012; Weinan Zhang 001 (ICLR, 2023)

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. - Hanjing Wang; Man-Kit Sit; Congjie He; Ying Wen 001; Weinan Zhang 001; Jun Wang 012; Yaodong Yang 001; Luo Mai (ICML, 2023)

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. - Hang Lai; Weinan Zhang 001; Xialin He; Chen Yu; Zheng Tian 002; Yong Yu 001; Jun Wang 012 (ICRA, 2023)

Multi-embodiment Legged Robot Control as a Sequence Modeling Problem. - Chen Yu; Weinan Zhang 001; Hang Lai; Zheng Tian 002; Laurent Kneip; Jun Wang 012 (ICRA, 2023)

Large Decision Models. - Weinan Zhang 001 (IJCAI, 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. - Jianghao Lin; Yanru Qu; Wei Guo 006; Xinyi Dai; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (KDD, 2023)

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. - Weitong Ou; Bo Chen 023; Yingxuan Yang; Xinyi Dai; Weiwen Liu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (KDD, 2023)

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. - Hangyu Wang; Ting Long; Liang Yin; Weinan Zhang 001; Wei Xia 001; Qichen Hong; Dingyin Xia; Ruiming Tang; Yong Yu 001 (KDD, 2023)

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. - Yunjia Xi; Weiwen Liu; Yang Wang 019; Ruiming Tang; Weinan Zhang 001; Yue Zhu; Rui Zhang 003; Yong Yu 001 (KDD, 2023)

Specify Robust Causal Representation from Mixed Observations. - Mengyue Yang; Xinyu Cai; Furui Liu; Weinan Zhang 001; Jun Wang 012 (KDD, 2023)

Dense Representation Learning and Retrieval for Tabular Data Prediction. - Lei Zheng; Ning Li 029; Xianyu Chen; Quan Gan; Weinan Zhang 001 (KDD, 2023)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. - Jieming Zhu; Guohao Cai; Junjie Huang; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001 (KDD, 2023)

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling. - Xianghui Zhu; Peng Du; Shuo Shao 001; Chenxu Zhu; Weinan Zhang 001; Yang Wang 019; Yang Cao (KDD, 2023)

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. - Haoran He; Chenjia Bai; Kang Xu; Zhuoran Yang; Weinan Zhang 001; Dong Wang 028; Bin Zhao 001; Xuelong Li 001 (NeurIPS, 2023)

Lending Interaction Wings to Recommender Systems with Conversational Agents. - Jiarui Jin; Xianyu Chen; Fanghua Ye 001; Mengyue Yang; Yue Feng 002; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (NeurIPS, 2023)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. - Lingyue Fu; Jianghao Lin; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (WSDM, 2023)

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. - Jiarui Qin; Jiachen Zhu 001; Yankai Liu; Junchao Gao; Jianjie Ying; Chaoxiong Liu; Ding Wang; Junlan Feng; Chao Deng; Xiaozheng Wang; Jian Jiang; Cong Liu; et al. (WSDM, 2023)

A Bird's-eye View of Reranking: From List Level to Page Level. - Yunjia Xi; Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang; Yong Yu 001 (WSDM, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

Integrated Ranking for News Feed with Reinforcement Learning. - Menghui Zhu; Wei Xia 001; Weiwen Liu; Yifan Liu 008; Ruiming Tang; Weinan Zhang 001 (WWW (Companion Volume), 2023)

FMGNN: Fused Manifold Graph Neural Network. - Cheng Deng; Fan Xu; Jiaxing Ding; Luoyi Fu; Weinan Zhang 001; Xinbing Wang (CoRR, 2023)

Covidia: COVID-19 Interdisciplinary Academic Knowledge Graph. - Cheng Deng; Jiaxin Ding 001; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou (CoRR, 2023)

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization. - Haoran He; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Weinan Zhang 001 (CoRR, 2023)

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Le Zhou; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (CoRR, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (CoRR, 2023)

Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Ruiwen Zhou; Minghuan Liu; Kan Ren; Xufang Luo; Weinan Zhang 001; Dongsheng Li 002 (CoRR, 2023)

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models. - Lingyue Fu; Huacan Chai; Shuang Luo; Kounianhua Du; Weiming Zhang; Longteng Fan; Jiayi Lei; Renting Rui; Jianghao Lin; Yuchen Fang; Yifan Liu 008; Jingkuan Wang; et al. (CoRR, 2023)

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training. - Xidong Feng; Ziyu Wan; Muning Wen; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (CoRR, 2023)

Quantifying Zero-shot Coordination Capability with Behavior Preferring Partners. - Xihuai Wang; Shao Zhang; Wenhao Zhang; Wentao Dong; Jingxiao Chen; Ying Wen 001; Weinan Zhang 001 (CoRR, 2023)

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2023)

Diffusion Models for Reinforcement Learning: A Survey. - Zhengbang Zhu; Hanye Zhao; Haoran He; Yichao Zhong; Shenyu Zhang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2023)

Adaptation Augmented Model-based Policy Optimization. - Jian Shen 003; Hang Lai; Minghuan Liu; Han Zhao 002; Yong Yu 001; Weinan Zhang 001 (J. Mach. Learn. Res., 2023)

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. - Ming Zhou 006; Ziyu Wan; Hanjing Wang; Muning Wen; Runzhe Wu; Ying Wen 001; Yaodong Yang 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (J. Mach. Learn. Res., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators. - Haoran Zhao; Yuchen Fang; Yuxiang Zhao; Zheng Tian 002; Weinan Zhang 001; Xidong Feng; Li Yu; Wei Li; Hulei Fan; Tiema Mu (Sensors, 2023)

Offline Pre-trained Multi-agent Decision Transformer. - Linghui Meng 001; Muning Wen; Chenyang Le; Xiyun Li; Dengpeng Xing; Weinan Zhang 001; Ying Wen 001; Haifeng Zhang 002; Jun Wang 012; Yaodong Yang 001; Bo Xu 002 (Mach. Intell. Res., 2023)

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. - Haokun Chen; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

AIM: Automatic Interaction Machine for Click-Through Rate Prediction. - Chenxu Zhu; Bo Chen 023; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning to Retrieve User Behaviors for Click-through Rate Estimation. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Guangpeng Zhao; Hao Li; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (ACM Trans. Inf. Syst., 2023)

Large sequence models for sequential decision-making: a survey. - Muning Wen; Runji Lin; Hanjing Wang; Yaodong Yang 001; Ying Wen 001; Luo Mai; Jun Wang 012; Hai-Feng Zhang 002; Weinan Zhang 001 (Frontiers Comput. Sci., 2023)

Boosting Studies of Multi-Agent Reinforcement Learning on Google Research Football Environment: The Past, Present, and Future. - Yan Song 003; He Jiang; Haifeng Zhang 002; Zheng Tian 002; Weinan Zhang 001; Jun Wang 012 (AAMAS, 2024)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Chuhan Wu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CCIR, 2024)

A Dual-Aligned Model for Multimodal Recommendation. - Kangning Zhang; Yingjie Qin; Ruilong Su; Yifan Liu 008; Weinan Zhang 001; Yong Yu 001 (CCIR, 2024)

AlignRec: Aligning and Training in Multimodal Recommendations. - Yifan Liu 008; Kangning Zhang; Xiangyuan Ren; Yanhua Huang; Jiarui Jin; Yingjie Qin; Ruilong Su; Ruiwen Xu; Yong Yu 001; Weinan Zhang 001 (CIKM, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. - Lingyue Fu; Hao Guan; Kounianhua Du; Jianghao Lin; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yasheng Wang; Yong Yu 001 (CIKM, 2024)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. - Yanlin Zhang; Ning Li 029; Quan Gan; Weinan Zhang 001; David Wipf; Minjie Wang (CIKM, 2024)

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. - Tairan He; Zhengyi Luo 002; Xialin He; Wenli Xiao; Chong Zhang; Weinan Zhang 001; Kris M. Kitani; Changliu Liu; Guanya Shi (CoRL, 2024)

Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective. - Haoran He; Peilin Wu; Chenjia Bai; Hang Lai; Lingxiao Wang 003; Ling Pan; Xiaolin Hu; Weinan Zhang 001 (CoRL, 2024)

GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs. - Pu Hua; Minghuan Liu; Annabella Macaluso; Yunfeng Lin; Weinan Zhang 001; Huazhe Xu; Lirui Wang (CoRL, 2024)

Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. - Zhenyu Mu; Jianghao Lin; Xiaoyu Zhu; Weinan Zhang 001; Yong Yu 001 (ICANN (5), 2024)

Vision-Language Foundation Models as Effective Robot Imitators. - Xinghang Li; Minghuan Liu; Hanbo Zhang; Cunjun Yu; Jie Xu; Hongtao Wu; Chilam Cheang; Ya Jing; Weinan Zhang 001; Huaping Liu 001; Hang Li; Tao Kong (ICLR, 2024)

ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update. - Liyuan Mao; Haoran Xu 003; Weinan Zhang 001; Xianyuan Zhan (ICLR, 2024)

RACon: Retrieval-Augmented Simulated Character Locomotion Control. - Yuxuan Mu; Shihao Zou; Kangning Yin; Zheng Tian 002; Li Cheng 001; Weinan Zhang 001; Jun Wang 012 (ICME, 2024)

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. - Guanghe Li; Yixiang Shan; Zhengbang Zhu; Ting Long; Weinan Zhang 001 (ICML, 2024)

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training. - Ziyu Wan; Xidong Feng; Muning Wen; Stephen Marcus McAleer; Ying Wen 001; Weinan Zhang 001; Jun Wang 012 (ICML, 2024)

Adaptive Retrieval-Based Gradient Planning for Offline Multi-context Model-Based Optimization. - Haoran Zhao; Mingcheng Chen; Weinan Zhang 001; Yong Yu 001 (ICONIP (2), 2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Yunjia Xi; Hangyu Wang; Xinyi Dai; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (KDD, 2024)

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. - Shutong Ding; Ke Hu; Zhenhao Zhang; Kan Ren; Weinan Zhang 001; Jingyi Yu; Jingya Wang; Ye Shi 001 (NeurIPS, 2024)

Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training. - Haoran He; Chenjia Bai; Ling Pan; Weinan Zhang 001; Bin Zhao 001; Xuelong Li 001 (NeurIPS, 2024)

Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning. - Liyuan Mao; Haoran Xu 003; Xianyuan Zhan; Weinan Zhang 001; Amy Zhang 001 (NeurIPS, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. - Minjie Wang; Quan Gan; David Wipf; Zheng Zhang 001; Christos Faloutsos; Weinan Zhang 001; Muhan Zhang; Zhenkun Cai; Jiahang Li 002; Zunyao Mao; Yakun Song; Jianheng Tang; et al. (NeurIPS, 2024)

ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination. - Xihuai Wang; Shao Zhang; Wenhao Zhang; Wentao Dong; Jingxiao Chen; Ying Wen 001; Weinan Zhang 001 (NeurIPS, 2024)

Reinforcing LLM Agents via Policy Optimization with Action Decomposition. - Muning Wen; Ziyu Wan; Jun Wang 012; Weinan Zhang 001; Ying Wen 001 (NeurIPS, 2024)

MADiff: Offline Multi-agent Learning with Diffusion Models. - Zhengbang Zhu; Minghuan Liu; Liyuan Mao; Bingyi Kang; Minkai Xu; Yong Yu 001; Stefano Ermon; Weinan Zhang 001 (NeurIPS, 2024)

Multi-sourced Integrated Ranking with Exposure Fairness. - Yifan Liu 008; Weiwen Liu; Wei Xia 001; Jieming Zhu; Weinan Zhang 001; Zhenhua Dong; Yang Wang 019; Ruiming Tang; Rui Zhang 003; Yong Yu 001 (PAKDD (5), 2024)

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models. - Longchao Da; Chen Chu; Weinan Zhang 001; Hua Wei 001 (ECML/PKDD (8), 2024)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2024)

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. - Ruiwen Zhou; Yingxuan Yang; Muning Wen; Ying Wen 001; Wenhao Wang; Chunling Xi; Guoqiang Xu; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2024)

GFS: Graph-based Feature Synthesis for Prediction over Relational Databases. - Han Zhang 057; Quan Gan; David Wipf; Weinan Zhang 001 (VLDB Workshops, 2024)

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Yi Xu 004; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (WSDM, 2024)

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. - Yifan Liu 008; Wei Xia 001; Weiwen Liu; Menghui Zhu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (WWW (Companion Volume), 2024)

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. - Junjie Huang; Guohao Cai; Jieming Zhu; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW (Companion Volume), 2024)

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. - Jiarui Jin; Zexue He; Mengyue Yang; Weinan Zhang 001; Yong Yu 001; Jun Wang 012; Julian J. McAuley (WWW, 2024)

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. - Jianghao Lin; Bo Chen 023; Hangyu Wang; Yunjia Xi; Yanru Qu; Xinyi Dai; Kangning Zhang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Jianghao Lin; Rong Shan; Chenxu Zhu; Kounianhua Du; Bo Chen 023; Shigang Quan; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. - Jiachen Zhu 001; Yichao Wang 002; Jianghao Lin; Jiarui Qin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW, 2024)

A survey on model-based reinforcement learning. - Fan-Ming Luo; Tian Xu 003; Hang Lai; Xiong-Hui Chen; Weinan Zhang 001; Yang Yu 001 (Sci. China Inf. Sci., 2024)

GeoGalactica: A Scientific Large Language Model in Geoscience. - Zhouhan Lin; Cheng Deng; Le Zhou; Tianhang Zhang; Yi Xu 004; Yutong Xu; Zhongmou He; Yuanyuan Shi; Beiya Dai; Yunchong Song; Boyi Zeng; Qiyuan Chen 002; et al. (CoRR, 2024)

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. - Qingyao Li; Lingyue Fu; Weiming Zhang; Xianyu Chen; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. - Jiarui Qin; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (CoRR, 2024)

Entropy-Regularized Token-Level Policy Optimization for Large Language Models. - Muning Wen; Cheng Deng; Jun Wang 012; Weinan Zhang 001; Ying Wen 001 (CoRR, 2024)

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning. - Haoran He; Chenjia Bai; Ling Pan; Weinan Zhang 001; Bin Zhao 001; Xuelong Li 001 (CoRR, 2024)

Offline Fictitious Self-Play for Competitive Games. - Jingxiao Chen; Weiji Xie; Weinan Zhang 001; Yong Yu 001; Ying Wen 001 (CoRR, 2024)

Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. - Jingxiao Chen; Ziqin Gong; Minghuan Liu; Jun Wang 012; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

An Aligning and Training Framework for Multimodal Recommendations. - Yifan Liu 008; Kangning Zhang; Xiangyuan Ren; Yanhua Huang; Jiarui Jin; Yingjie Qin; Ruilong Su; Ruiwen Xu; Weinan Zhang 001 (CoRR, 2024)

DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation. - Kangning Zhang; Yingjie Qin; Ruilong Su; Yifan Liu 008; Jiarui Jin; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. - Lei Zheng; Ning Li 029; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. - Minjie Wang; Quan Gan; David Wipf; Zhenkun Cai; Ning Li 029; Jianheng Tang; Yanlin Zhang; Zizhao Zhang; Zunyao Mao; Yakun Song; Yanbo Wang; Jiahang Li 002; et al. (CoRR, 2024)

CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. - Kounianhua Du; Renting Rui; Huacan Chai; Lingyue Fu; Wei Xia 001; Yasheng Wang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Qiji Zhang; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

Look into the Future: Deep Contextualized Sequential Recommendation. - Lei Zheng; Ning Li 029; Yanhuan Huang; Ruiwen Xu; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Reinforcing Language Agents via Policy Optimization with Action Decomposition. - Muning Wen; Ziyu Wan; Weinan Zhang 001; Jun Wang 012; Ying Wen 001 (CoRR, 2024)

Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. - Hanye Zhao; Xiaoshen Han; Zhengbang Zhu; Minghuan Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (CoRR, 2024)

A Comprehensive Survey on Retrieval Methods in Recommender Systems. - Junjie Huang; Jizheng Chen; Jianghao Lin; Jiarui Qin; Ziming Feng; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. - Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Bo Chen 023; Rong Shan; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for Optimizing LLM Training. - Yingxuan Yang; Huayi Wang; Muning Wen; Weinan Zhang 001 (CoRR, 2024)

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Muyan Weng; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Survey on Diffusion Models for Recommender Systems. - Jianghao Lin; Jiaqi Liu; Jiachen Zhu 001; Yunjia Xi; Chengkai Liu; Yangtian Zhang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Mutual Theory of Mind in Human-AI Collaboration: An Empirical Study with LLM-driven AI Agents in a Real-time Shared Workspace Task. - Shao Zhang; Xihuai Wang; Wenhao Zhang; Yongshan Chen; Landi Gao; Dakuo Wang; Weinan Zhang 001; Xinbing Wang; Ying Wen 001 (CoRR, 2024)

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Xinyi Dai; Ruiming Tang; Yasheng Wang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

World Model-based Perception for Visual Legged Locomotion. - Hang Lai; Jiahang Cao; Jiafeng Xu; Hongtao Wu; Yunfeng Lin; Tao Kong; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots. - Peilin Wu; Weiji Xie; Jiahang Cao; Hang Lai; Weinan Zhang 001 (CoRR, 2024)

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. - Naming Liu; Mingzhi Wang; Xihuai Wang; Weinan Zhang 001; Yaodong Yang 001; Youzhi Zhang 001; Bo An 001; Ying Wen 001 (CoRR, 2024)

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 152; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 020; Weinan Zhang 001 (CoRR, 2024)

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. - Jun Wang 012; Meng Fang; Ziyu Wan; Muning Wen; Jiachen Zhu 001; Anjie Liu; Ziqin Gong; Yan Song 003; Lei Chen 002; Lionel M. Ni; Linyi Yang; Ying Wen 001; et al. (CoRR, 2024)

Agentic Information Retrieval. - Weinan Zhang 001; Junwei Liao; Ning Li 029; Kounianhua Du (CoRR, 2024)

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation. - Kangning Zhang; Jiarui Jin; Yingjie Qin; Ruilong Su; Jianghao Lin; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Beyond Positive History: Re-ranking with List-level Hybrid Feedback. - Muyan Weng; Yunjia Xi; Weiwen Liu; Bo Chen 023; Jianghao Lin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Multi-LLM-Agent Systems: Techniques and Business Perspectives. - Yingxuan Yang; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2024)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models. - Chenxu Zhu; Shigang Quan; Bo Chen 023; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Xiangyang Li; Yunjia Xi; Weinan Zhang 001; Ruiming Tang (CoRR, 2024)

HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios. - Jun Wang 152; Jiamu Zhou; Muning Wen; Xiaoyun Mo; Haoyu Zhang; Qiqiang Lin; Cheng Jin; Xihuai Wang; Weinan Zhang 001; Qiuying Peng; Jun Wang 020 (CoRR, 2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation. - Rong Shan; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Menghui Zhu; Kangning Zhang; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Survey on Bid Optimization in Real-Time Bidding Display Advertising. - Weitong Ou; Bo Chen 023; Xinyi Dai; Weinan Zhang 001; Weiwen Liu; Ruiming Tang; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

An Empirical Study on Google Research Football Multi-agent Scenarios. - Yan Song 003; He Jiang; Zheng Tian 002; Haifeng Zhang 002; Yingping Zhang; Jiangcheng Zhu; Zonghong Dai; Weinan Zhang 001; Jun Wang 012 (Mach. Intell. Res., 2024)

Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. - Mingxing Duan; Kenli Li 001; Weinan Zhang 001; Jiarui Qin; Bin Xiao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. - Zhengbang Zhu; Rongjun Qin; Junjie Huang; Xinyi Dai; Yang Yu 001; Yong Yu 001; Weinan Zhang 001 (ACM Trans. Inf. Syst., 2024)

Utility-Oriented Reranking with Counterfactual Context. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Qing Liu 020; Weinan Zhang 001; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Search-based Time-aware Graph-enhanced Recommendation with Sequential Behavior Data. - Lei Zheng; Huacan Chai; Xianyu Chen; Jiarui Jin; Weinan Zhang 001; Yong Yu 001; Xiaodong Guo; Can Ge; Ziming Feng (Trans. Recomm. Syst., 2024)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. - Junjie Huang; Jiarui Qin; Yong Yu 001; Weinan Zhang 001 (AAAI, 2025)

Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation. - Yiwei Shi; Muning Wen; Qi Zhang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (AAAI, 2025)

Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. - Jiachen Zhu 001; Congmin Zheng; Jianghao Lin; Kounianhua Du; Ying Wen 001; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. - Jizheng Chen; Kounianhua Du; Xinyi Dai; Weiming Zhang; Xihuai Wang; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2025)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. - Qingyao Li; Xinyi Dai; Xiangyang Li; Weinan Zhang 001; Yasheng Wang; Ruiming Tang; Yong Yu 001 (ACL (Findings), 2025)

HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios. - Jun Wang; Jiamu Zhou; Xihuai Wang; Xiaoyun Mo; Haoyu Zhang; Qiqiang Lin; Jincheng Jincheng; Muning Wen; Weinan Zhang 001; Qiuying Peng (ACL (Findings), 2025)

Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI Collaboration. - Shao Zhang; Xihuai Wang; Wenhao Zhang; Chaoran Li; Junru Song; Tingyu Li; Lin Qiu; Xuezhi Cao; Xunliang Cai; Wen Yao; Weinan Zhang 001; Xinbing Wang; et al. (ACL (1), 2025)

An Efficient Approximation Framework for LLM-Enhanced Recommendation. - Huacan Chai; Menghui Zhu; Jianghao Lin; Yunjia Xi; Weinan Zhang 001; Yong Yu 001 (ICIC (8), 2025)

Accelerating Multi‑turn LLM Agent Workflows via Context Templating and Opportunistic Prefill. - Hanjing Wang; Ying Wen 001; Weinan Zhang 001 (ICIC (13), 2025)

Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency. - Qifan Liang; Yixiang Shan; Haipeng Liu; Zhengbang Zhu; Ting Long; Weinan Zhang 001; Yuan Tian 016 (ICLR, 2025)

Robust Function-Calling for On-Device Language Model via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 012; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 012; Weinan Zhang 001 (ICLR, 2025)

ContraDiff: Planning Towards High Return States via Contrastive Learning. - Yixiang Shan; Zhengbang Zhu; Ting Long; Qifan Liang; Yi Chang 001; Weinan Zhang 001; Liang Yin (ICLR, 2025)

Unlocking the Potential of Decentralized LLM-based MAS: Privacy Preservation and Monetization in Collective Intelligence. - Yingxuan Yang; Qiuying Peng; Jun Wang 012; Ying Wen 001; Weinan Zhang 001 (AAMAS, 2025)

Why Not Together? A Multiple-Round Recommender System for Queries and Items. - Jiarui Jin; Xianyu Chen; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (KDD (1), 2025)

AgentIR: 2nd Workshop on Agent-based Information Retrieval. - Pengyue Jia; Qingpeng Cai 001; Xiangyu Zhao 001; Ling Pan; Xin Xin 003; Jin Huang 010; Weinan Zhang 001; Li Zhao 007; Dawei Yin; Grace Hui Yang (SIGIR, 2025)

Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. - Renting Rui; Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Zhewei Wei; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. - Junjie Huang; Jiarui Qin; Jianghao Lin; Ziming Feng; Weinan Zhang 001; Yong Yu 001 (WWW, 2025)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. - Jiarui Qin; Weiwen Liu; Weinan Zhang 001; Yong Yu 001 (WWW, 2025)

Attention-Driven Hierarchical Reinforcement Learning with Particle Filtering for Source Localization in Dynamic Fields. - Yiwei Shi; Mengyue Yang; Qi Zhang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (CoRR, 2025)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Rong Shan; Jiachen Zhu 001; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering. - Yiwei Shi; Jingyu Hu 002; Yu Zhang; Mengyue Yang; Weinan Zhang 001; Cunjia Liu; Weiru Liu (CoRR, 2025)

Who's the MVP? A Game-Theoretic Evaluation Benchmark for Modular Attribution in LLM Agents. - Yingxuan Yang; Bo Huang; Siyuan Qi; Chao Feng; Haoyi Hu; Yuxuan Zhu; Jinbo Hu; Haoran Zhao; Ziyi He; Xiao Liu; Zongyu Wang; Lin Qiu; et al. (CoRR, 2025)

A Unified and General Humanoid Whole-Body Controller for Fine-Grained Locomotion. - Yufei Xue; Wentao Dong; Minghuan Liu; Weinan Zhang 001; Jiangmiao Pang (CoRR, 2025)

Re3Sim: Generating High-Fidelity Simulation Data via 3D-Photorealistic Real-to-Sim for Robotic Manipulation. - Xiaoshen Han; Minghuan Liu; Yilun Chen; Junqiu Yu; Xiaoyang Lyu; Yang Tian; Bolun Wang; Weinan Zhang 001; Jiangmiao Pang (CoRR, 2025)

BeamDojo: Learning Agile Humanoid Locomotion on Sparse Footholds. - Huayi Wang; Zirui Wang; Junli Ren; Qingwei Ben; Tao Huang; Weinan Zhang 001; Jiangmiao Pang (CoRR, 2025)

Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport. - Mingyang Sun; Pengxiang Ding; Weinan Zhang 001; Donglin Wang (CoRR, 2025)

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations. - Jingxiao Chen; Xinyao Li; Jiahang Cao; Zhengbang Zhu; Wentao Dong; Minghuan Liu; Ying Wen 001; Yong Yu 001; Liqing Zhang; Weinan Zhang 001 (CoRR, 2025)

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models. - Yunjia Xi; Muyan Weng; Wen Chen; Chao Yi; Dian Chen; Gaoyang Guo; Mao Zhang; Jian Wu; Yuning Jiang 001; Qingwen Liu 002; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. - Shulin Huang; Linyi Yang; Yan Song 003; Shuang Chen; Leyang Cui; Ziyu Wan; Qingcheng Zeng; Ying Wen 001; Kun Shao; Weinan Zhang 001; Jun Wang 012; Yue Zhang 004 (CoRR, 2025)

Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning. - Weiji Xie; Chenjia Bai; Jiyuan Shi; Junkai Yang; Yunfei Ge; Weinan Zhang 001; Xuelong Li 001 (CoRR, 2025)

Adding Alignment Control to Language Models. - Wenhong Zhu; Weinan Zhang 001; Rui Wang (CoRR, 2025)

PALo: Learning Posture-Aware Locomotion for Quadruped Robots. - Xiangyu Miao; Jun Sun; Hang Lai; Xinpeng Di; Jiahang Cao; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models. - Shenyu Zhang; Jiaguo Tian; Zhengbang Zhu; Shan Huang; Jucheng Yang; Weinan Zhang 001 (CoRR, 2025)

ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. - Ziyu Wan; Yunxiang Li; Yan Song 003; Hanjing Wang; Linyi Yang; Mark Schmidt 001; Jun Wang 012; Weinan Zhang 001; Shuyue Hu; Ying Wen 001 (CoRR, 2025)

Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. - Jianghao Lin; Peng Du; Jiaqi Liu; Weite Li; Yong Yu 001; Weinan Zhang 001; Yang Cao (CoRR, 2025)

Towards efficient and effective unlearning of large language models for recommendation. - Hangyu Wang; Jianghao Lin; Bo Chen 023; Yang Yang 001; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (Frontiers Comput. Sci., 2025)

Deep reinforcement learning for community architectural layout generation. - Tao Sheng; Yun Xiong; Haofen Wang; Yao Zhang 009; Siqi Wang; Weinan Zhang 001 (Knowl. Inf. Syst., 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems. - Yingxuan Yang; Huacan Chai; Shuai Shao; Yuanyi Song; Siyuan Qi; Renting Rui; Weinan Zhang 001 (CoRR, 2025)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing. - Lingyue Fu; Ting Long; Jianghao Lin; Wei Xia 001; Xinyi Dai; Ruiming Tang; Yasheng Wang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

Information-Theoretic Reward Decomposition for Generalizable RLHF. - Liyuan Mao; Haoran Xu 003; Amy Zhang 001; Weinan Zhang 001; Chenjia Bai (CoRR, 2025)

MARFT: Multi-Agent Reinforcement Fine-Tuning. - Junwei Liao; Muning Wen; Jun Wang; Weinan Zhang 001 (CoRR, 2025)

A Survey of AI Agent Protocols. - Yingxuan Yang; Huacan Chai; Yuanyi Song; Siyuan Qi; Muning Wen; Ning Li 029; Junwei Liao; Haoyi Hu; Jianghao Lin; Gaowei Chang; Weiwen Liu; Ying Wen 001; et al. (CoRR, 2025)

Large language models make sample-efficient recommender systems. - Jianghao Lin; Xinyi Dai; Rong Shan; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (Frontiers Comput. Sci., 2025)

Audio Turing Test: Benchmarking the Human-likeness of Large Language Model-based Text-to-Speech Systems in Chinese. - Xihuai Wang; Ziyi Zhao; Siyu Ren; Shao Zhang; Song Li; Xiaoyu Li; Ziwen Wang; Lin Qiu; Guanglu Wan; Xuezhi Cao; Xunliang Cai; Weinan Zhang 001 (CoRR, 2025)

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. - Weiming Zhang; Lingyue Fu; Qingyao Li; Kounianhua Du; Jianghao Lin; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. - Weiming Zhang; Qingyao Li; Xinyi Dai; Jizheng Chen; Kounianhua Du; Weinan Zhang 001; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation. - Yunjia Xi; Jianghao Lin; Menghui Zhu; Yongzhao Xiao; Zhuoying Ou; Jiaqi Liu; Tong Wan; Bo Chen 023; Weiwen Liu; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; et al. (CoRR, 2025)

The Real Barrier to LLM Agent Usability is Agentic ROI. - Weiwen Liu; Jiarui Qin; Xu Huang 008; Xingshan Zeng; Yunjia Xi; Jianghao Lin; Chuhan Wu; Yasheng Wang; Lifeng Shang; Ruiming Tang; Defu Lian; Yong Yu 001; et al. (CoRR, 2025)

Superplatforms Have to Attack AI Agents. - Jianghao Lin; Jiachen Zhu 001; Zheli Zhou; Yunjia Xi; Weiwen Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning. - Shutong Ding; Ke Hu; Shan Zhong; Haoyang Luo; Weinan Zhang 001; Jingya Wang; Jun Wang; Ye Shi 001 (CoRR, 2025)

Large Language Models are Demonstration Pre-Selectors for Themselves. - Jiarui Jin; Yuwei Wu; Haoxuan Li 001; Xiaoting He; Weinan Zhang 001; Yiming Yang; Yong Yu 001; Jun Wang 012; Mengyue Yang (CoRR, 2025)

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. - Jiachen Zhu 001; Menghui Zhu; Renting Rui; Rong Shan; Congmin Zheng; Bo Chen 023; Yunjia Xi; Jianghao Lin; Weiwen Liu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Generative Representational Learning of Foundation Models for Recommendation. - Zheli Zhou; Chenxu Zhu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

KungfuBot: Physics-Based Humanoid Whole-Body Control for Learning Highly-Dynamic Skills. - Weiji Xie; Jinrui Han; Jiakun Zheng; Huanyu Li 014; Xinzhe Liu; Jiyuan Shi; Weinan Zhang 001; Chenjia Bai; Xuelong Li 001 (CoRR, 2025)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging. - Zijun Chen; Zhanpeng Zhou; Bo Zhang 069; Weinan Zhang 001; Xi Sun; Junchi Yan (CoRR, 2025)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. - Jianghao Lin; Xinyuan Wang; Xinyi Dai; Menghui Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Agent Exchange: Shaping the Future of AI Agent Economics. - Yingxuan Yang; Ying Wen 001; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark. - Lingyue Fu; Hao Guan; Bolun Zhang; Haowei Yuan; Yaoming Zhu; Jun Xu 001; Zongyu Wang; Lin Qiu; Xunliang Cai; Xuezhi Cao; Weiwen Liu; Weinan Zhang 001; et al. (CoRR, 2025)

UniTracker: Learning Universal Whole-Body Motion Tracker for Humanoid Robots. - Kangning Yin; Weishuai Zeng; Ke Fan; Zirui Wang; Qiang Zhang; Zheng Tian 002; Jingbo Wang; Jiangmiao Pang; Weinan Zhang 001 (CoRR, 2025)

RAD: Retrieval High-quality Demonstrations to Enhance Decision-making. - Lu Guo; Yixiang Shan; Zhengbang Zhu; Qifan Liang; Lichang Song; Ting Long; Weinan Zhang 001; Yi Chang 001 (CoRR, 2025)

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models. - Congmin Zheng; Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Yong Yu 001; Weinan Zhang 001; Mengyue Yang (CoRR, 2025)

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation. - Ning Li 029; Xiangmou Qu; Jiamu Zhou; Jun Wang 012; Muning Wen; Kounianhua Du; Xingyu Lou; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

Agentic Web: Weaving the Next Web with AI Agents. - Yingxuan Yang; Mulei Ma; Yuxuan Huang; Huacan Chai; Chenyu Gong; Haoran Geng; Yuanjian Zhou; Ying Wen 001; Meng Fang; Muhao Chen 001; Shangding Gu; Ming Jin 002; et al. (CoRR, 2025)

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges. - Yunjia Xi; Jianghao Lin; Yongzhao Xiao; Zheli Zhou; Rong Shan; Te Gao; Jiachen Zhu 001; Weiwen Liu; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases. - Ning Li 029; Kounianhua Du; Han Zhang 057; Quan Gan; Minjie Wang; David Wipf; Weinan Zhang 001 (CoRR, 2025)

Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents. - Zheng Wu; Heyuan Huang; Yanjia Yang; Yuanyi Song; Xingyu Lou; Weiwen Liu; Weinan Zhang 001; Jun Wang 012; Zhuosheng Zhang 001 (CoRR, 2025)

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review. - Xinda Jia; Jinpeng Li 004; Zezhong Wang 004; Jingjing Li; Xingshan Zeng; Yasheng Wang; Weinan Zhang 001; Yong Yu 001; Weiwen Liu (CoRR, 2025)

BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web. - Zihan Guo; Yuanjian Zhou; Chenyi Wang; Linlin You; Minjie Bian; Weinan Zhang 001 (CoRR, 2025)