Efficient Computation of Emergent Equilibrium in Agent-Based Simulation. - Zehong Hu; Meng Sha; Moath H. A. Jarrah; Jie Zhang 002; Hui Xi (AAAI, 2016)

A Novel Approach to Evaluate Robustness of Incentive Mechanism Against Bounded Rationality: (Doctoral Consortium). - Zehong Hu (AAMAS, 2016)

Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models. - Donghun Kang; Zhenchao C. Bing; Wen Song 004; Zehong Hu; Shuo Chen 006; Jie Zhang 002; Hui Xi (AAMAS, 2017)

Optimal Posted-Price Mechanism in Microtask Crowdsourcing. - Zehong Hu; Jie Zhang 002 (IJCAI, 2017)

Revisiting Public Reputation Calculation in a Personalized Trust Model. - Robin Cohen; Peng-Fei Wang; Zehong Hu (TRUST@AAMAS, 2018)

A Novel Strategy for Active Task Assignment in Crowd Labeling. - Zehong Hu; Jie Zhang 002 (IJCAI, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Jie Zhang 002; Zhao Li 007; Yang Liu 018 (NeurIPS, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Yang Liu 018; Jie Zhang 002 (CoRR, 2018)

Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality. - Zehong Hu; Jie Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2018)

Learning-based mechanism design for microtask crowdsourcing - Zehong Hu (2018)

General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits. - Zehong Hu; Jie Zhang 002; Zhao Li 007 (AAAI, 2019)

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits. - Zehong Hu; Zhen Wang 037; Zhao Li 007; Shichang Hu; Shasha Ruan; Jie Zhang 002 (AAMAS, 2019)

FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. - Zhao Li 007; Junshuai Song; Shichang Hu; Shasha Ruan; Long Zhang; Zehong Hu; Jun Gao 003 (ICDE, 2019)

CRSRL: Customer Routing System Using Reinforcement Learning. - Chong Long; Zining Liu; Xiaolu Lu 002; Zehong Hu; Yafang Wang (IJCAI, 2019)

Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning. - Zining Liu; Chong Long; Xiaolu Lu 002; Zehong Hu; Jie Zhang 002; Yafang Wang (IEEE Access, 2019)

Artificial Intelligence for Prosthetics - challenge solutions. - Lukasz Kidzinski; Carmichael F. Ong; Sharada Prasanna Mohanty; Jennifer L. Hicks; Sean F. Carroll; Bo Zhou; Hong-cheng Zeng; Fan Wang 021; Rongzhong Lian; Hao Tian 005; Wojciech Jaskowski; Garrett Andersen; et al. (CoRR, 2019)

Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning. - Zining Liu; Chong Long; Xiaolu Lu 002; Zehong Hu; Jie Zhang 002; Yafang Wang (CoRR, 2019)

Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. - Zhao Li 007; Chenyi Lei; Pengcheng Zou; Donghui Ding; Shichang Hu; Zehong Hu; Shouling Ji; Jianliang Gao (DASFAA (1), 2020)

PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. - Junshuai Song; Zhao Li 007; Zehong Hu; Yucheng Wu; Zhenpeng Li; Jian Li; Jun Gao 003 (ICDE, 2020)

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. - Haishuai Wang; Zhao Li 007; Xuanwu Liu; Donghui Ding; Zehong Hu; Peng Zhang 001; Chuan Zhou 001; Jiajun Bu (CIKM, 2021)

A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. - Junshuai Song; Xiaoru Qu; Zehong Hu; Zhao Li 007; Jun Gao 003; Ji Zhang 001 (Neurocomputing, 2021)

Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. - Zhao Li 007; Junshuai Song; Zehong Hu; Zhen Wang 037; Jun Gao 003 (ACM Trans. Knowl. Discov. Data, 2022)

FairRec: Fairness Testing for Deep Recommender Systems. - Huizhong Guo; Jinfeng Li; Jingyi Wang 004; Xiangyu Liu; Dongxia Wang 002; Zehong Hu; Rong Zhang 006; Hui Xue 001 (ISSTA, 2023)

Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services. - Zhao Li 007; Haifeng Sun 004; Zheng Xiong; Qun Huang 001; Zehong Hu; Ding Li; Shasha Ruan; Hai Hong; Jie Gui; Jintao He; Zebin Xu; Yang Fang (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit. - Long Yang 004; Zhao Li 007; Zehong Hu; Shasha Ruan; Gang Pan 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

UDuo: Universal Dual Optimization Framework for Online Matching. - Bin Li; Diwei Liu; Zehong Hu; Jia Jia (CoRR, 2025)