A Constellation Model for Grid Resource Management. - Yinfeng Wang; Xiaoshe Dong; Xiuqiang He 001; Hua Guo; Fang Zheng 002; Zhongsheng Qin (APPT, 2005)

A Constellation Resource Discovery Model Based on Scalable Multi-tape Universal Turing Machine. - Yinfeng Wang; Xiaoshe Dong; Hua Guo; Xiuqiang He 001; GuoRong Liu (GCC, 2005)

The Campus Resource Management Based on Constellation Model in the ChinaGrid. - Xiaoshe Dong; Yinfeng Wang; Xiuqiang He 001; Hua Guo; Fang Zheng 002; Weiguo Wu (ISPA Workshops, 2005)

Construction of Overlay Network in P2P-based Resource Discovery Model in Grid Environment. - Xiaoshe Dong; Xiuqiang He 001; Hua Guo; Wancheng Li; Xingjun Zhang (SKG, 2005)

Optimization of Static Task and Bus Access Schedules for Time-Triggered Distributed Embedded Systems with Model-Checking. - Zonghua Gu 001; Xiuqiang He 001; Mingxuan Yuan (DAC, 2007)

An efficient algorithm for online management of 2D area of partially reconfigurable FPGAs. - Jin Cui; Qingxu Deng; Xiuqiang He 001; Zonghua Gu 001 (DATE, 2007)

Optimal Static Task Scheduling on Reconfigurable Hardware Devices Using Model-Checking. - Zonghua Gu 001; Mingxuan Yuan; Xiuqiang He 001 (IEEE Real-Time and Embedded Technology and Applications Symposium, 2007)

Static Scheduling and Software Synthesis for Dataflow Graphs with Symbolic Model-Checking. - Zonghua Gu 001; Mingxuan Yuan; Nan Guan; Mingsong Lv; Xiuqiang He 001; Qingxu Deng; Ge Yu 001 (RTSS, 2007)

Hardware/Software Partitioning and Static Task Scheduling on Runtime Reconfigurable FPGAs using a SMT Solver. - Mingxuan Yuan; Xiuqiang He 001; Zonghua Gu 001 (IEEE Real-Time and Embedded Technology and Applications Symposium, 2008)

Efficient SAT-Based Mapping and Scheduling of Homogeneous Synchronous Dataflow Graphs for Throughput Optimization. - Weichen Liu; Mingxuan Yuan; Xiuqiang He 001; Zonghua Gu 001; Xue Liu 001 (RTSS, 2008)

A Hierarchical Framework for Design Space Exploration and Optimization of TTP-Based Distributed Embedded Systems. - Xiuqiang He 001; Mingxuan Yuan; Zonghua Gu 001 (IEEE Trans. Ind. Informatics, 2008)

Efficient algorithms for 2D area management and online task placement on runtime reconfigurable FPGAs. - Zonghua Gu 001; Weichen Liu; Jiang Xu 001; Jin Cui; Xiuqiang He 001; Qingxu Deng (Microprocess. Microsystems, 2009)

Task Allocation and Optimization of Distributed Embedded Systems with Simulated Annealing and Geometric Programming. - Xiuqiang He 001; Zonghua Gu 001; Yongxin Zhu 001 (Comput. J., 2010)

Hardware/software partitioning and pipelined scheduling on runtime reconfigurable FPGAs. - Mingxuan Yuan; Zonghua Gu 001; Xiuqiang He 001; Xue Liu 001; Lei Jiang 001 (ACM Trans. Design Autom. Electr. Syst., 2010)

A Panoramic View of 3G Data/Control-Plane Traffic: Mobile Device Perspective. - Xiuqiang He 001; Patrick P. C. Lee; Lujia Pan; Cheng He; John C. S. Lui (Networking (1), 2012)

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. - Mingxuan Yuan; Ke Deng; Jia Zeng; Yanhua Li; Bing Ni; Xiuqiang He 001; Fei Wang 001; Wenyuan Dai; Qiang Yang 001 (Proc. VLDB Endow., 2014)

Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. - Xiaomin Fang; Rong Pan; Guoxiang Cao; Xiuqiang He 001; Wenyuan Dai (AAAI, 2015)

Mining target users for online marketing based on App Store data. - Xiuqiang He 001; Wenyuan Dai; Guoxiang Cao; Ruiming Tang; Mingxuan Yuan; Qiang Yang 001 (IEEE BigData, 2015)

Valuating Queries for Data Trading in Modern Cities. - Ruiming Tang; Huayu Wu 001; Xiuqiang He 001; Stéphane Bressan (ICDM Workshops, 2015)

A Graph-Based Push Service Platform. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (DASFAA (2), 2017)

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (IJCAI, 2017)

Holistic Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2017)

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Huifeng Guo; Xiuqiang He 001 (DASFAA (2), 2018)

Field-aware probabilistic embedding neural network for CTR prediction. - Weiwen Liu; Ruiming Tang; Jiajin Li; Jinkai Yu; Huifeng Guo; Xiuqiang He 001; Shengyu Zhang 002 (RecSys, 2018)

Federated Meta-Learning for Recommendation. - Fei Chen 013; Zhenhua Dong; Zhenguo Li; Xiuqiang He 001 (CoRR, 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)

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001; Zhenhua Dong (CoRR, 2018)

Multi-graph Convolution Collaborative Filtering. - Jianing Sun; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (ICDM, 2019)

Learning Cross-Domain Representation with Multi-Graph Neural Network. - Yi Ouyang 003; Bin Guo 001; Xing Tang 007; Xiuqiang He 001; Jian Xiong; Zhiwen Yu 001 (CoRR, 2019)

Modeling the Past and Future Contexts for Session-based Recommendation. - Fajie Yuan; Xiangnan He 001; Guibing Guo; Zhezhao Xu; Jian Xiong; Xiuqiang He 001 (CoRR, 2019)

Model-free inference of diffusion networks using RKHS embeddings. - Shoubo Hu; Bogdan Cautis; Zhitang Chen; Laiwan Chan; Yanhui Geng; Xiuqiang He 001 (Data Min. Knowl. Discov., 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)

Leveraging Title-Abstract Attentive Semantics for Paper Recommendation. - Guibing Guo; Bowei Chen 004; Xiaoyan Zhang 002; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001 (AAAI, 2020)

Less Is Better: Unweighted Data Subsampling via Influence Function. - Zifeng Wang 008; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Shao-Lun Huang (AAAI, 2020)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 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)

AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. - Farhan Khawar; Xu Hang; Ruiming Tang; Bin Liu 072; Zhenguo Li; Xiuqiang He 001 (CIKM, 2020)

Personalized Re-ranking with Item Relationships for E-commerce. - Weiwen Liu; Qing Liu 020; Ruiming Tang; Junyang Chen 001; Xiuqiang He 001; Pheng-Ann Heng (CIKM, 2020)

Ensembled CTR Prediction via Knowledge Distillation. - Jieming Zhu; Jinyang Liu 002; Weiqi Li; Jincai Lai; Xiuqiang He 001; Liang Chen 001; Zibin Zheng (CIKM, 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)

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. - Jianing Sun; Wei Guo 006; Dengcheng Zhang; Yingxue Zhang 001; Florence Regol; Yaochen Hu 001; Huifeng Guo; Ruiming Tang; Han Yuan; Xiuqiang He 001; Mark Coates (KDD, 2020)

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. - Chih-Yao Chang; Xing Tang 007; Bo-Wen Yuan; Jui-Yang Hsia; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001; Chih-Jen Lin (MDM, 2020)

Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos. - Zhu Zhang; Zhijie Lin 001; Zhou Zhao 001; Jieming Zhu; Xiuqiang He 001 (ACM Multimedia, 2020)

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding. - Zhu Zhang; Zhou Zhao 001; Zhijie Lin 001; Jieming Zhu; Xiuqiang He 001 (NeurIPS, 2020)

Counterfactual learning for recommender system. - Zhenhua Dong; Hong Zhu 003; Pengxiang Cheng 002; Xinhua Feng; Guohao Cai; Xiuqiang He 001; Jun Xu 001; Jirong Wen (RecSys, 2020)

BiGAN: Collaborative Filtering with Bidirectional Generative Adversarial Networks. - Rui Ding 003; Guibing Guo; Xiaochun Yang 001; Bowei Chen 004; Zhirong Liu; Xiuqiang He 001 (SDM, 2020)

JIT2R: A Joint Framework for Item Tagging and Tag-based Recommendation. - Xu Chen 017; Changying Du; Xiuqiang He 001; Jun Wang 012 (SIGIR, 2020)

Multi-Branch Convolutional Network for Context-Aware Recommendation. - Wei Guo 006; Can Zhang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (SIGIR, 2020)

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. - Bin Liu 072; Niannan Xue; Huifeng Guo; Ruiming Tang; Stefanos Zafeiriou; Xiuqiang He 001; Zhenguo Li (SIGIR, 2020)

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. - Kelong Mao; Xi Xiao; Jieming Zhu; Biao Lu; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

Influence Function for Unbiased Recommendation. - Jiangxing Yu; Hong Zhu 003; Chih-Yao Chang; Xinhua Feng; Bo-Wen Yuan; Xiuqiang He 001; Zhenhua Dong (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)

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. - Feng Liu 034; Huifeng Guo; Xutao Li; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WSDM, 2020)

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. - Feng Liu 034; Wei Guo 006; Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2020)

MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection. - Mi Luo; Fei Chen 013; Pengxiang Cheng 002; Zhenhua Dong; Xiuqiang He 001; Jiashi Feng; Zhenguo Li (WWW, 2020)

Personalized Re-ranking for Improving Diversity in Live Recommender Systems. - Yichao Wang 002; Xiangyu Zhang; Zhirong Liu; Zhenhua Dong; Xinhua Feng; Ruiming Tang; Xiuqiang He 001 (CoRR, 2020)

A Practical Incremental Method to Train Deep CTR Models. - Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2020)

FuxiCTR: An Open Benchmark for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CoRR, 2020)

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Zhenguo Li; Xiuqiang He 001 (CoRR, 2020)

Top-aware reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Huifeng Guo; Xutao Li; Yunming Ye; Xiuqiang He 001 (Neurocomputing, 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)

Graph Heterogeneous Multi-Relational Recommendation. - Chong Chen 001; Weizhi Ma; Min Zhang 006; Zhaowei Wang 002; Xiuqiang He 001; Chenyang Wang 003; Yiqun Liu 001; Shaoping Ma (AAAI, 2021)

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). - Dong Yao; Shengyu Zhang 001; Zhou Zhao 001; Wenyan Fan; Jieming Zhu; Xiuqiang He 001; Fei Wu 001 (AAAI, 2021)

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. - Bo Chen 023; Yichao Wang 002; Zhirong Liu; Ruiming Tang; Wei Guo 006; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Xiuqiang He 001 (CIKM, 2021)

SimpleX: A Simple and Strong Baseline for Collaborative Filtering. - Kelong Mao; Jieming Zhu; Jinpeng Wang; Quanyu Dai; Zhenhua Dong; Xi Xiao; Xiuqiang He 001 (CIKM, 2021)

UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. - Kelong Mao; Jieming Zhu; Xi Xiao; Biao Lu; Zhaowei Wang 002; Xiuqiang He 001 (CIKM, 2021)

Top-N Recommendation with Counterfactual User Preference Simulation. - Mengyue Yang; Quanyu Dai; Zhenhua Dong; Xu Chen 017; Xiuqiang He 001; Jun Wang 012 (CIKM, 2021)

Open Benchmarking for Click-Through Rate Prediction. - Jieming Zhu; Jinyang Liu 002; Shuai Yang; Qi Zhang 001; Xiuqiang He 001 (CIKM, 2021)

UNBERT: User-News Matching BERT for News Recommendation. - Qi Zhang 001; Jingjie Li; Qinglin Jia; Chuyuan Wang; Jieming Zhu; Zhaowei Wang 002; Xiuqiang He 001 (IJCAI, 2021)

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

BiPS: Hotness-aware Bi-tier Parameter Synchronization for Recommendation Models. - Qiming Zheng; Quan Chen 002; Kaihao Bai; Huifeng Guo; Yong Gao; Xiuqiang He 001; Minyi Guo (IPDPS, 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)

Dual Graph enhanced Embedding Neural Network for CTR Prediction. - Wei Guo 006; Rong Su 003; Renhao Tan; Huifeng Guo; Yingxue Zhang 001; Zhirong Liu; Ruiming Tang; 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)

Dual Sequence Transformer for Query-based Interactive Recommendation. - Guohao Cai; Xiaoguang Li; Quanyu Dai; Gang Wang 056; Zhenhua Dong; Chaoliang Zhang; Xiuqiang He 001; Lifeng Shang (MDM, 2021)

Why Do We Click: Visual Impression-aware News Recommendation. - Jiahao Xun; Shengyu Zhang 001; Zhou Zhao 001; Jieming Zhu; Qi Zhang 001; Jingjie Li; Xiuqiang He 001; Xiaofei He 001; Tat-Seng Chua; Fei Wu 001 (ACM Multimedia, 2021)

Mitigating Confounding Bias in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (RecSys, 2021)

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Huifeng Guo; Wei Guo 006; Yong Gao; Ruiming Tang; Xiuqiang He 001; Wenzhi Liu (SIGIR, 2021)

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. - Qinglin Jia; Jingjie Li; Qi Zhang 001; Xiuqiang He 001; Jieming Zhu (SIGIR, 2021)

Hierarchical Cross-Modal Graph Consistency Learning for Video-Text Retrieval. - Weike Jin; Zhou Zhao 001; Pengcheng Zhang; Jieming Zhu; Xiuqiang He 001; Yueting Zhuang (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)

Cross-Batch Negative Sampling for Training Two-Tower Recommenders. - Jinpeng Wang; Jieming Zhu; Xiuqiang He 001 (SIGIR, 2021)

AMM: Attentive Multi-field Matching for News Recommendation. - Qi Zhang 001; Qinglin Jia; Chuyuan Wang; Jingjie Li; Zhaowei Wang 002; Xiuqiang He 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)

Topic-enhanced knowledge-aware retrieval model for diverse relevance estimation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 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)

Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. - Dong Yao; Shengyu Zhang 001; Zhou Zhao 001; Wenyan Fan; Jieming Zhu; Xiuqiang He 001; Fei Wu 001 (CoRR, 2021)

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2021)

Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm. - Lin Bo; Liang Pang; Gang Wang 056; Jun Xu 001; XiuQiang He 001; Ji-Rong Wen (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)

Content Filtering Enriched GNN Framework for News Recommendation. - Yong Gao; Huifeng Guo; Dandan Lin; Yingxue Zhang 001; Ruiming Tang; Xiuqiang He 001 (CoRR, 2021)

Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. - Yankai Chen 001; Yifei Zhang; Yingxue Zhang 001; Huifeng Guo; Jingjie Li; Ruiming Tang; Xiuqiang He 001; Irwin King (CoRR, 2021)

Adaptive Spatio-Temporal Graph Enhanced Vision-Language Representation for Video QA. - Weike Jin; Zhou Zhao 001; Xiaochun Cao; Jieming Zhu; Xiuqiang He 001; Yueting Zhuang (IEEE Trans. Image Process., 2021)

Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. - Yi Ouyang 003; Bin Guo 001; Xing Tang 007; Xiuqiang He 001; Jian Xiong; Zhiwen Yu 001 (ACM Trans. Knowl. Discov. Data, 2021)

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. - Runpeng Yu 001; Hong Zhu 003; Kaican Li; Lanqing Hong; Rui Zhang 003; Nanyang Ye 001; Shao-Lun Huang; Xiuqiang He 001 (AAAI, 2022)

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. - Wenwen Pan 003; Haonan Shi; Zhou Zhao 001; Jieming Zhu; Xiuqiang He 001; Zhigeng Pan; Lianli Gao; Jun Yu 002; Fei Wu 001; Qi Tian 001 (CVPR, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. - Fuyuan Lyu; Xing Tang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003; Xue Liu 001 (ICDE, 2022)

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. - Guohao Cai; Jieming Zhu; Quanyu Dai; Zhenhua Dong; Xiuqiang He 001; Ruiming Tang; Rui Zhang 003 (SIGIR, 2022)

A Cooperative Neural Information Retrieval Pipeline with Knowledge Enhanced Automatic Query Reformulation. - Xiangsheng Li; Jiaxin Mao; Weizhi Ma; Zhijing Wu 001; Yiqun Liu 001; Min Zhang 006; Shaoping Ma; Zhaowei Wang 002; Xiuqiang He 001 (WSDM, 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)

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. - Lu Wang; Ruiming Tang; Xiaofeng He; Xiuqiang He 001 (WSDM, 2022)

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. - Yi Li; Jieming Zhu; Weiwen Liu; Liangcai Su; Guohao Cai; Qi Zhang 001; Ruiming Tang; Xi Xiao; Xiuqiang He 001 (WWW (Companion Volume), 2022)

Contrastive Learning with Positive-Negative Frame Mask for Music Representation. - Dong Yao; Zhou Zhao 001; Shengyu Zhang 001; Jieming Zhu; Yudong Zhu; Rui Zhang 003; Xiuqiang He 001 (WWW, 2022)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Xu Chen 017 (CoRR, 2022)

Click-through rate prediction using transfer learning with fine-tuned parameters. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001; Jianxi Yang (Inf. Sci., 2022)

IPGAN: Generating Informative Item Pairs by Adversarial Sampling. - Guibing Guo; Huan Zhou; Bowei Chen 004; Zhirong Liu; Xiao Xu 005; Xu Chen 017; Zhenhua Dong; Xiuqiang He 001 (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)

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. - Dugang Liu; Yang Qiao; Xing Tang 007; Liang Chen 009; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (DASFAA (4), 2023)

Explicit Feature Interaction-aware Uplift Network for Online Marketing. - Dugang Liu; Xing Tang 007; Han Gao; Fuyuan Lyu; Xiuqiang He 001 (KDD, 2023)

Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. - Dugang Liu; Yang Qiao; Xing Tang 007; Liang Chen 009; Xiuqiang He 001; Zhong Ming 001 (ACM Multimedia, 2023)

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Weihong Luo; Liang Chen 009; Xiuqiang He 001; Xue (Steve) Liu (NeurIPS, 2023)

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. - Xing Tang 007; Yang Qiao; Yuwen Fu; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (ECML/PKDD (6), 2023)

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. - Yunpeng Weng; Xing Tang 007; Liang Chen 009; Xiuqiang He 001 (SIGIR, 2023)

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Xing Tang 007; Yanyu Chen; Xiaoting Wang; Weike Pan; Zhong Ming 001; Xiuqiang He 001 (WWW, 2023)

Optimizing Feature Set for Click-Through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Liang Chen 009; Xiuqiang He 001; Xue Liu 001 (WWW, 2023)

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Haolun Wu; Chen Ma 001; Xiuqiang He 001; Xue Liu 001 (CoRR, 2023)

Debiased Representation Learning in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (Trans. Recomm. Syst., 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)

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Jinwei Luo; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2023)

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Xiaolian Zhang; Zhenhua Dong; Rui Zhang 003; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 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)

Debiased Recommendation with User Feature Balancing. - Mengyue Yang; Guohao Cai; Furui Liu; Jiarui Jin; Zhenhua Dong; Xiuqiang He 001; Jianye Hao; Weiqi Shao; Jun Wang 012; Xu Chen 017 (ACM Trans. Inf. Syst., 2023)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. - Yunpeng Weng; Xing Tang 007; Zhenhao Xu; Fuyuan Lyu; Dugang Liu; Zexu Sun; Xiuqiang He 001 (CIKM, 2024)

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. - Zexu Sun; Dugang Liu; Xing Tang 007; Yunpeng Weng; Xiuqiang He 001 (DASFAA (7), 2024)

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. - Shiwei Li 002; Wenchao Xu 001; Haozhao Wang; Xing Tang 007; Yining Qi; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (ICML, 2024)

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. - Bowei He; Yunpeng Weng; Xing Tang 007; Ziqiang Cui; Zexu Sun; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (KDD, 2024)

Masked Random Noise for Communication-Efficient Federated Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (ACM Multimedia, 2024)

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. - Xing Tang 007; Yang Qiao; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (RecSys, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang 045; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (RecSys, 2024)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. - Ziqiang Cui; Xing Tang 007; Yang Qiao; Bowei He; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (SDM, 2024)

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. - Dugang Liu; Shenxian Xian; Yuhao Wu; Chaohua Yang; Xing Tang 007; Xiuqiang He 001; Zhong Ming 001 (SIGIR, 2024)

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. - Dugang Liu; Chaohua Yang; Xing Tang 007; Yejing Wang; Fuyuan Lyu; Weihong Luo; Xiuqiang He 001; Zhong Ming 001; Xiangyu Zhao 001 (WSDM, 2024)

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. - Yunpeng Weng; Xing Tang 007; Liang Chen 009; Dugang Liu; Xiuqiang He 001 (CoRR, 2024)

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects. - Yuheng Cheng; Ceyao Zhang; Zhengwen Zhang; Xiangrui Meng; Sirui Hong; Wenhao Li 001; Zihao Wang; Zekai Wang; Feng Yin; Junhua Zhao 001; Xiuqiang He 001 (CoRR, 2024)

Benchmarking for Deep Uplift Modeling in Online Marketing. - Dugang Liu; Xing Tang 007; Yang Qiao; Miao Liu 006; Zexu Sun; Xiuqiang He 001; Zhong Ming 001 (CoRR, 2024)

Masked Random Noise for Communication Efficient Federaetd Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (CoRR, 2024)

Mixed-Precision Embeddings for Large-Scale Recommendation Models. - Shiwei Li 002; Zhuoqi Hu; Fuyuan Lyu; Xing Tang 007; Haozhao Wang; Shijie Xu; Weihong Luo; Yuhua Li 003; Xue Liu 001; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

Training Agents with Weakly Supervised Feedback from Large Language Models. - Dihong Gong; Pu Lu; Zelong Wang; Meng Zhou; Xiuqiang He 001 (CoRR, 2024)

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. - Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen 017; Qi Qi 003; Xing Tang 007; Xiuqiang He 001; Ji-Rong Wen (ICLR, 2025)

Scenario Shared Instance Modeling for Click-through Rate Prediction. - Dugang Liu; Chaohua Yang; Yuwen Fu; Xing Tang 007; Gongfu Li; Fuyuan Lyu; Xiuqiang He 001; Zhong Ming 001 (KDD (1), 2025)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001; Chen Ma 001 (SIGIR, 2025)

Multi-scenario Instance Embedding Learning for Deep Recommender Systems. - Chaohua Yang; Dugang Liu; Xing Tang 007; Yuwen Fu; Xiuqiang He 001; Xiangyu Zhao 001; Zhong Ming 001 (SIGIR, 2025)

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. - Kexin Zhang 007; Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Kaize Ding; Xiuqiang He 001; Xue Liu 001 (WSDM, 2025)

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. - Xing Tang 007; Yunpeng Weng; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (CoRR, 2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Xiaokun Zhang 001; Dugang Liu; Shiwei Li 002; Peiyang Liu; Bowei He; Weihong Luo; Xiuqiang He 001; Chen Ma 001 (CoRR, 2025)

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. - Shiwei Li 002; Xiandi Luo; Xing Tang 007; Haozhao Wang; Hao Chen; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting. - Fuyuan Lyu; Linfeng Du; Yunpeng Weng; Qiufang Ying; Zhiyan Xu; Wen Zou; Haolun Wu; Xiuqiang He 001; Xing Tang 007 (CoRR, 2025)

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Ziqiang Cui; Dugang Liu; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)