Facility Location with Minimax Envy. - Qingpeng Cai 001; Aris Filos-Ratsikas; Pingzhong Tang (IJCAI, 2016)

Mechanism Design for Personalized Recommender Systems. - Qingpeng Cai 001; Aris Filos-Ratsikas; Chang Liu; Pingzhong Tang (RecSys, 2016)

Multi-armed Bandit Mechanism with Private Histories. - Chang Liu; Qingpeng Cai 001; Yukui Zhang (AAMAS, 2017)

Reinforcement Mechanism Design for Fraudulent Behaviour in e-Commerce. - Qingpeng Cai 001; Aris Filos-Ratsikas; Pingzhong Tang; Yiwei Zhang (AAAI, 2018)

Ranking Mechanism Design for Price-setting Agents in E-commerce. - Qingpeng Cai 001; Pingzhong Tang; Yulong Zeng (AAMAS, 2018)

Reinforcement Mechanism Design for e-commerce. - Qingpeng Cai 001; Aris Filos-Ratsikas; Pingzhong Tang; Yiwei Zhang (WWW, 2018)

Policy Gradients for Contextual Bandits. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (CoRR, 2018)

Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (CoRR, 2018)

Generalized deterministic policy gradient algorithms. - Qingpeng Cai 001; Ling Pan; Pingzhong Tang (CoRR, 2018)

A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. - Ling Pan; Qingpeng Cai 001; Zhixuan Fang; Pingzhong Tang; Longbo Huang (AAAI, 2019)

Policy Optimization with Model-Based Explorations. - Feiyang Pan; Qingpeng Cai 001; Anxiang Zeng; Chun-Xiang Pan; Qing Da; Hua-Lin He; Qing He 003; Pingzhong Tang (AAAI, 2019)

Policy Gradients for Contextual Recommendations. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (WWW, 2019)

Reinforcement Learning with Dynamic Boltzmann Softmax Updates. - Ling Pan; Qingpeng Cai 001; Qi Meng; Wei Chen 034; Longbo Huang; Tie-Yan Liu (CoRR, 2019)

Reinforcement Learning Driven Heuristic Optimization. - Qingpeng Cai 001; Will Hang; Azalia Mirhoseini; George Tucker; Jingtao Wang; Wei Wei (CoRR, 2019)

Deterministic Value-Policy Gradients. - Qingpeng Cai 001; Ling Pan; Pingzhong Tang (AAAI, 2020)

Multi-Path Policy Optimization. - Ling Pan; Qingpeng Cai 001; Longbo Huang (AAMAS, 2020)

Reinforcement Learning with Dynamic Boltzmann Softmax Updates. - Ling Pan; Qingpeng Cai 001; Qi Meng; Wei Chen 034; Longbo Huang (IJCAI, 2020)

Softmax Deep Double Deterministic Policy Gradients. - Ling Pan; Qingpeng Cai 001; Longbo Huang (NeurIPS, 2020)

Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce. - Jianxiong Wei; Anxiang Zeng; Yueqiu Wu; Peng Guo; Qingsong Hua; Qingpeng Cai 001 (CoRR, 2020)

Exploration in policy optimization through multiple paths. - Ling Pan; Qingpeng Cai 001; Longbo Huang (Auton. Agents Multi Agent Syst., 2021)

Constrained Reinforcement Learning for Short Video Recommendation. - Qingpeng Cai 001; Ruohan Zhan; Chi Zhang; Jie Zheng; Guangwei Ding; Pinghua Gong; Dong Zheng; Peng Jiang 002 (CoRR, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Bo An 001 (CoRR, 2022)

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. - Wanqi Xue; Qingpeng Cai 001; Ruohan Zhan; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (ICLR, 2023)

Generative Flow Network for Listwise Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Zhankui He; Bowen Sun; Julian J. McAuley; Dong Zheng; Peng Jiang 002; Kun Gai (KDD, 2023)

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement. - Wanqi Xue; Qingpeng Cai 001; Zhenghai Xue; Shuo Sun; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (KDD, 2023)

State Regularized Policy Optimization on Data with Dynamics Shift. - Zhenghai Xue; Qingpeng Cai 001; Shuchang Liu 006; Dong Zheng; Peng Jiang 002; Kun Gai; Bo An 001 (NeurIPS, 2023)

KuaiSim: A Comprehensive Simulator for Recommender Systems. - Kesen Zhao; Shuchang Liu 006; Qingpeng Cai 001; Xiangyu Zhao 001; Ziru Liu; Dong Zheng; Peng Jiang 002; Kun Gai (NeurIPS, 2023)

Reinforcing User Retention in a Billion Scale Short Video Recommender System. - Qingpeng Cai 001; Shuchang Liu 006; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Bin Yang 042; Dong Zheng; Peng Jiang 002; Kun Gai (WWW (Companion Volume), 2023)

Two-Stage Constrained Actor-Critic for Short Video Recommendation. - Qingpeng Cai 001; Zhenghai Xue; Chi Zhang; Wanqi Xue; Shuchang Liu 006; Ruohan Zhan; Xueliang Wang; Tianyou Zuo; Wentao Xie 002; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 006; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang (WWW, 2023)

Multi-Task Recommendations with Reinforcement Learning. - Ziru Liu; Jiejie Tian; Qingpeng Cai 001; Xiangyu Zhao 001; Jingtong Gao; Shuchang Liu 006; Dayou Chen; Tonghao He; Dong Zheng; Peng Jiang 002; Kun Gai (WWW, 2023)

A Large Language Model Enhanced Conversational Recommender System. - Yue Feng; Shuchang Liu 006; Zhenghai Xue; Qingpeng Cai 001; Lantao Hu; Peng Jiang 002; Kun Gai; Fei Sun 001 (CoRR, 2023)

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement. - Zhenghai Xue; Qingpeng Cai 001; Tianyou Zuo; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (CoRR, 2023)

Modeling User Retention through Generative Flow Networks. - Ziru Liu; Shuchang Liu 006; Bin Yang 042; Zhenghai Xue; Qingpeng Cai 001; Xiangyu Zhao 001; Zijian Zhang 009; Lantao Hu; Han Li 005; Peng Jiang 002 (KDD, 2024)

Future Impact Decomposition in Request-level Recommendations. - Xiaobei Wang; Shuchang Liu 006; Xueliang Wang; Qingpeng Cai 001; Lantao Hu; Han Li 005; Peng Jiang 002; Kun Gai; Guangming Xie (KDD, 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)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. - Ziru Liu; Shuchang Liu 006; Zijian Zhang 009; Qingpeng Cai 001; Xiangyu Zhao 001; Kesen Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (SIGIR, 2024)

Future Impact Decomposition in Request-level Recommendations. - Xiaobei Wang; Shuchang Liu 006; Xueliang Wang; Qingpeng Cai 001; Lantao Hu; Han Li 005; Peng Jiang 002; Guangming Xie (CoRR, 2024)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. - Zijian Zhang 009; Shuchang Liu 006; Jiaao Yu; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Ziru Liu; Qidong Liu 002; Hongwei Zhao; Lantao Hu; Peng Jiang 002; Kun Gai (CoRR, 2024)

Bifurcated Generative Flow Networks. - Chunhui Li; Cheng-Hao Liu; Dianbo Liu; Qingpeng Cai 001; Ling Pan (CoRR, 2024)

Rectifying Reinforcement Learning for Reward Matching. - Haoran He; Emmanuel Bengio; Qingpeng Cai 001; Ling Pan (CoRR, 2024)

LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy. - Peng Cui; Yiming Yang; Fusheng Jin; Siyuan Tang; Yunli Wang; Fukang Yang; Yalong Jia; Qingpeng Cai 001; Fei Pan; Changcheng Li; Peng Jiang 002 (CoRR, 2024)

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising. - Ruizhi Wang; Kai Liu; Bingjie Li; Yu Rong; Qingpeng Cai 001; Fei Pan; Peng Jiang 002 (CoRR, 2024)

LLM-Powered User Simulator for Recommender System. - Zijian Zhang 009; Shuchang Liu 006; Ziru Liu; Rui Zhong; Qingpeng Cai 001; Xiangyu Zhao 001; Chunxu Zhang; Qidong Liu 002; Peng Jiang 002 (AAAI, 2025)

Flow Factorization for Efficient Generative Flow Networks. - Jiashun Liu; Chunhui Li; Cheng-Hao Liu; Dianbo Liu; Qingpeng Cai 001; Ling Pan (AAAI, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 008; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Kun Gai; Bo An 001; Xiangyu Zhao 001 (SIGIR, 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)

DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems. - Jiaju Chen; Chongming Gao; Shuai Yuan 018; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (WSDM, 2025)

GAS: Generative Auto-bidding with Post-training Search. - Yewen Li; Shuai Mao; Jingtong Gao; Nan Jiang 023; Yunjian Xu; Qingpeng Cai 001; Fei Pan; Peng Jiang 002; Bo An 001 (WWW (Companion Volume), 2025)

Value Function Decomposition in Markov Recommendation Process. - Xiaobei Wang; Shuchang Liu 006; Qingpeng Cai 001; Xiang Li; Lantao Hu; Han Li 005; Guangming Xie (WWW, 2025)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems. - Zhenghai Xue; Qingpeng Cai 001; Bin Yang 042; Lantao Hu; Peng Jiang 002; Kun Gai; Bo An 001 (WWW, 2025)

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer. - Chongming Gao; Kexin Huang; Ziang Fei; Jiaju Chen; Jiawei Chen 007; Jianshan Sun; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (CoRR, 2025)

From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval. - Jian Jia; Jingtong Gao; Ben Xue; Junhao Wang; Qingpeng Cai 001; Quan Chen 006; Xiangyu Zhao 001; Peng Jiang 002; Kun Gai (CoRR, 2025)

Generative Auto-Bidding with Value-Guided Explorations. - Jingtong Gao; Yewen Li; Shuai Mao; Peng Jiang 002; Nan Jiang 023; Yejing Wang; Qingpeng Cai 001; Fei Pan; Kun Gai; Bo An 001; Xiangyu Zhao 001 (CoRR, 2025)

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration. - Jingtong Gao; Ling Pan; Yejing Wang; Rui Zhong; Chi Lu; Qingpeng Cai 001; Peng Jiang 002; Xiangyu Zhao 001 (CoRR, 2025)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation. - Yu Xia; Rui Zhong; Zeyu Song; Wei Yang 041; Junchen Wan; Qingpeng Cai 001; Chi Lu; Peng Jiang 002 (CoRR, 2025)