Fade Slope Analysis of Ka-Band LEO Satellite Links. - Weiwen Liu; Boubacar Diallo; David G. Michelson (VTC Fall, 2007)

Multi-parameters Optimization and Nonlinearity Analysis of the Grating Eddy Current Displacement Sensor. - Hongli Qi; Hui Zhao 019; Weiwen Liu (RAM, 2008)

Simulation of rain fading and scintillation on Ka-band Earth-LEO satellite links. - David G. Michelson; Weiwen Liu (CCECE, 2009)

Research on Novel Grating Eddy-Current Absolute-Position Sensor. - Weiwen Liu; Hui Zhao 019; Hongli Qi (IEEE Trans. Instrum. Meas., 2009)

Fade Slope Analysis of Ka-Band Earth-LEO Satellite Links Using a Synthetic Rain Field Model. - Weiwen Liu; David G. Michelson (IEEE Trans. Veh. Technol., 2009)

Effect of Turbulence Layer Height and Satellite Altitude on Tropospheric Scintillation on Ka-Band Earth-LEO Satellite Links. - Weiwen Liu; David G. Michelson (IEEE Trans. Veh. Technol., 2010)

Design and Analysis of a Differential Waveguide Structure to Improve Magnetostrictive Linear Position Sensors. - Yongjie Zhang 004; Weiwen Liu; Haibo Zhang; Jinfeng Yang; Hui Zhao 019 (Sensors, 2011)

Experimental Estimating Deflection of a Simple Beam Bridge Model Using Grating Eddy Current Sensors. - Chunfeng Lü; Weiwen Liu; Yongjie Zhang 004; Hui Zhao 019 (Sensors, 2012)

Design of Compensation Coils for EMI Suppression in Magnetostrictive Linear Position Sensors. - Yongjie Zhang 004; Weiwen Liu; Jinfeng Yang; Chunfeng Lv; Hui Zhao 019 (Sensors, 2012)

Research on Combinatorial-Code Grating Eddy-Current Absolute-Position Sensor. - Weiwen Liu; Hui Zhao 019; Wei Tao; Chunfeng Lv (IEEE Trans. Instrum. Meas., 2012)

f4: Facebook's Warm BLOB Storage System. - Muralidhar Subramanian; Wyatt Lloyd; Sabyasachi Roy; Cory Hill; Ernest Lin; Weiwen Liu; Satadru Pan; Shiva Shankar; Sivakumar Viswanathan; Linpeng Tang; Sanjeev Kumar (OSDI, 2014)

Development of a human-arm like laparoscopic instrument. - Hongbing Li; Weiwen Liu; Kenji Kawashima (ROBIO, 2016)

Contextual Dependent Click Bandit Algorithm for Web Recommendation. - Weiwen Liu; Shuai Li 010; Shengyu Zhang 002 (COCOON, 2018)

A Coaxial Vision Assembly Algorithm for Un-centripetal Holes on Large-scale Stereo Workpiece Using Multiple-DOF Robot. - Zhan Yang; Weiwen Liu; Hongbing Li; Zheng Li (IST, 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)

Personalizing Fairness-aware Re-ranking. - Weiwen Liu; Robin Burke (CoRR, 2018)

Face Liveness Detection Using a Flash Against 2D Spoofing Attack. - Patrick P. K. Chan; Weiwen Liu; Danni Chen; Daniel S. Yeung; Fei Zhang 003; Xizhao Wang; Chien-Chang Hsu (IEEE Trans. Inf. Forensics Secur., 2018)

Personalized fairness-aware re-ranking for microlending. - Weiwen Liu; Jun Guo 008; Nasim Sonboli; Robin Burke; Shengyu Zhang 002 (RecSys, 2019)

Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization. - Pengfei Chen 003; Weiwen Liu; Chang-Yu Hsieh; Guangyong Chen; Shengyu Zhang 002 (CoRR, 2019)

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models. - Guangyong Chen; Pengfei Chen 003; Chang-Yu Hsieh; Chee-Kong Lee; Benben Liao; Renjie Liao; Weiwen Liu; Jiezhong Qiu; Qiming Sun; Jie Tang 001; Richard S. Zemel; Shengyu Zhang 002 (CoRR, 2019)

PMD: A New User Distance for Recommender Systems. - Yitong Meng; Weiwen Liu; Benben Liao; Jun Guo 008; Guangyong Chen (CoRR, 2019)

Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Yitong Meng; Guangyong Chen; Benben Liao; Jun Guo 008; Weiwen Liu (CoRR, 2019)

Contextual Combinatorial Conservative Bandits. - Xiaojin Zhang 002; Shuai Li 010; Weiwen Liu (CoRR, 2019)

Consistency-Aware Recommendation for User-Generated ItemList Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (CoRR, 2019)

A nonparametric model for online topic discovery with word embeddings. - Junyang Chen 001; Zhiguo Gong; Weiwen Liu (Inf. Sci., 2019)

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)

Adversarial Learning for Overlapping Community Detection and Network Embedding. - Junyang Chen 001; Zhiguo Gong; Quanyu Dai; Chunyuan Yuan; Weiwen Liu (ECAI, 2020)

PMD: An Optimal Transportation-Based User Distance for Recommender Systems. - Yitong Meng; Xinyan Dai; Xiao Yan 002; James Cheng; Weiwen Liu; Jun Guo 008; Benben Liao; Guangyong Chen (ECIR (2), 2020)

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (PAKDD (1), 2020)

Inductive Document Representation Learning for Short Text Clustering. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Xiao Dong; Wei Wang 335; Weiwen Liu; Cong Wang 018; Xian Chen (ECML/PKDD (3), 2020)

Wasserstein Collaborative Filtering for Item Cold-start Recommendation. - Yitong Meng; Xiao Yan 002; Weiwen Liu; Huanhuan Wu; James Cheng (UMAP, 2020)

Opportunistic Multi-aspect Fairness through Personalized Re-ranking. - Nasim Sonboli; Farzad Eskandanian; Robin Burke; Weiwen Liu; Bamshad Mobasher (UMAP, 2020)

Consistency-Aware Recommendation for User-Generated Item List Continuation. - Yun He 001; Yin Zhang 011; Weiwen Liu; James Caverlee (WSDM, 2020)

A Dirichlet process biterm-based mixture model for short text stream clustering. - Junyang Chen 001; Zhiguo Gong; Weiwen Liu (Appl. Intell., 2020)

Inter-sequence Enhanced Framework for Personalized Sequential Recommendation. - Feng Liu 034; Weiwen Liu; Xutao Li; Yunming Ye (CoRR, 2020)

librec-auto: A Tool for Recommender Systems Experimentation. - Nasim Sonboli; Masoud Mansoury; Ziyue Guo; Shreyas Kadekodi; Weiwen Liu; Zijun Liu; Andrew Schwartz; Robin Burke (CIKM, 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)

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)

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)

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (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)

HNS: Hierarchical negative sampling for network representation learning. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Weiwen Liu (Inf. Sci., 2021)

TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Weiwen Liu; Ming Yang; Cong Wang 018 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. - Wei Xia 001; Weiwen Liu; Yifan Liu 008; Ruiming Tang (CIKM, 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)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

Neural Re-ranking for Multi-stage Recommender Systems. - Weiwen Liu; Jiarui Qin; Ruiming Tang; Bo Chen 023 (RecSys, 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)

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)

Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. - Junyang Chen 001; Zhiguo Gong; Jiqian Mo; Wei Wang 077; Wei Wang 335; Cong Wang 018; Xiao Dong; Weiwen Liu; Kaishun Wu (IEEE Trans. Neural Networks Learn. Syst., 2022)

CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Weiwen Liu; Xiao Dong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. - Junyang Chen 001; Zhiguo Gong; Wei Wang 077; Cong Wang 018; Zhenghua Xu 001; Jianming Lv; Xueliang Li 002; Kaishun Wu; Weiwen Liu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Item Relationship Graph Neural Networks for E-Commerce. - Weiwen Liu; Yin Zhang 011; Jianling Wang; Yun He 001; James Caverlee; Patrick P. K. Chan; Daniel S. Yeung; Pheng-Ann Heng (IEEE Trans. Neural Networks Learn. Syst., 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)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. - Wentao Ning; Xiao Yan 002; Weiwen Liu; Reynold Cheng; Rui Zhang 003; Bo Tang 016 (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)

The 1st Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yong Liu 020; Yang Zhang 072; Weiwen Liu; Fuli Feng; Xiangnan He 001; Aixin Sun (CIKM, 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)

A Survey on User Behavior Modeling in Recommender Systems. - Zhicheng He 001; Weiwen Liu; Wei Guo 006; Jiarui Qin; Yingxue Zhang 001; Yaochen Hu 001; Ruiming Tang (IJCAI, 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)

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)

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. - Weiwen Liu; Wei Guo 006; Yong Liu 020; Ruiming Tang; Hao Wang 076 (RecSys, 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)

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)

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)

Optical Neural Network in Free-Space and Nanophotonics. - Zhenlin Sun; Miao Yu; Zhengxun Song; Weiwen Liu; Gangyao Xing; Muhan Zhou (IEEE Access, 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)

Ten Challenges in Industrial Recommender Systems. - Zhenhua Dong; Jieming Zhu; Weiwen Liu; Ruiming Tang (CoRR, 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)

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. - Shijue Huang; Wanjun Zhong; Jianqiao Lu; Qi Zhu 011; Jiahui Gao; Weiwen Liu; Yutai Hou; Xingshan Zeng; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruifeng Xu 001; et al. (ACL (Findings), 2024)

An AUTOSAR Crypto Stack System for Supporting Automotive Electronic Information Security. - Yufeng Xu; Jiapeng Xiu; Bin Wen; Zhengqiu Yang; Shudi Wu; Weiwen Liu (CCEAI, 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)

EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. - Zexuan Qiu; Jieming Zhu; Yankai Chen 001; Guohao Cai; Weiwen Liu; Zhenhua Dong; Irwin King (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)

Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm. - Boqi Dai; Kai Ouyang; Jun Yuan 008; Miaoxin Chen; Xingyu Lu; Weiwen Liu; Rui Zhang 003; Hai-Tao Zheng 002 (ICASSP, 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)

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)

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)

The 2nd Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yang Zhang 072; Xinyu Lin 001; Fuli Feng; Weiwen Liu; Yong Liu 020; Xiangyu Zhao 001; Wayne Xin Zhao; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 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)

Understanding the planning of LLM agents: A survey. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Hao Wang 076; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

WESE: Weak Exploration to Strong Exploitation for LLM Agents. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction. - Xingmei Wang 001; Weiwen Liu; Xiaolong Chen; Qi Liu 003; Xu Huang 008; Defu Lian; Xiangyang Li; Yasheng Wang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Chain-of-Probe: Examing the Necessity and Accuracy of CoT Step-by-Step. - Zezhong Wang 004; Xingshan Zeng; Weiwen Liu; Yufei Wang 005; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (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)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (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)

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)

GUI Agents with Foundation Models: A Comprehensive Survey. - Shuai Wang 020; Weiwen Liu; Jingxuan Chen; Weinan Gan; Xingshan Zeng; Shuai Yu; Xinlong Hao; Kun Shao; Yasheng Wang; Ruiming Tang (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)

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)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger. - Wenjun Li; Dexun Li; Kuicai Dong; Cong Zhang; Hao Zhang 048; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Liu 020 (ACL (1), 2025)

Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation. - Jingxuan Chen; Derek Yuen; Bin Xie; Yuhao Yang; Gongwei Chen; Zhihao Wu; Li Yixing; Xurui Zhou; Weiwen Liu; Shuai Wang 020; Kaiwen Zhou; Rui Shao 001; et al. (ICLR, 2025)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance. - Yaxi Lu; Shenzhi Yang; Cheng Qian 008; Guirong Chen; Qinyu Luo; Yesai Wu; Huadong Wang; Xin Cong; Zhong Zhang; Yankai Lin; Weiwen Liu; Yasheng Wang; et al. (ICLR, 2025)

ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis. - Zezhong Wang 004; Xingshan Zeng; Weiwen Liu; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (NAACL (Long Papers), 2025)

Chain-of-Probe: Examining the Necessity and Accuracy of CoT Step-by-Step. - Zezhong Wang 004; Xingshan Zeng; Weiwen Liu; Yufei Wang 005; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (NAACL (Findings), 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)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. - Xu Huang 008; Xiaolong Chen; Yichao Wang 002; Weiwen Liu; Yang Yang 001; Xingmei Wang 001; Defu Lian; Ruiming Tang (WWW (Companion Volume), 2025)

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

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning. - Yirong Zeng; Xiao Ding; Yuxian Wang; Weiwen Liu; Wu Ning; Yutai Hou; Xu Huang 008; Bing Qin 001; Ting Liu 001 (CoRR, 2025)

ACEBench: Who Wins the Match Point in Tool Learning? - Chen Chen 017; Xinlong Hao; Weiwen Liu; Xu Huang 008; Xingshan Zeng; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Yuefeng Huang; Wulong Liu; Xinzhi Wang; et al. (CoRR, 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)

ToolACE-R: Tool Learning with Adaptive Self-Refinement. - Xingshan Zeng; Weiwen Liu; Xu Huang 008; Zezhong Wang 004; Lingzhi Wang 001; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruiming Tang; Qun Liu 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (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)

Advancing and Benchmarking Personalized Tool Invocation for LLMs. - Xu Huang 008; Yuefeng Huang; Weiwen Liu; Xingshan Zeng; Yasheng Wang; Ruiming Tang; Hong Xie 004; Defu Lian (CoRR, 2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. - Xu Huang 008; Weiwen Liu; Xingshan Zeng; Yuefeng Huang; Xinlong Hao; Yuxian Wang; Yirong Zeng; Chuhan Wu; Yasheng Wang; Ruiming Tang; Defu Lian (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)

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning. - Zezhong Wang 004; Xingshan Zeng; Weiwen Liu; Yufei Wang 005; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (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)

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)

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)

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)

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)

ToolACE-MT: Non-Autoregressive Generation for Agentic Multi-Turn Interaction. - Xingshan Zeng; Weiwen Liu; Lingzhi Wang 001; Liangyou Li; Fei Mi; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (CoRR, 2025)