Zehong Hu

28 papers A* 9A 5Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting.
WWW
Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang, Jia Jia
2025 J jnl
UDuo: Universal Dual Optimization Framework for Online Matching.
CoRR
Bin Li, Diwei Liu, Zehong Hu, Jia Jia
2023 J jnl
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit.
IEEE Trans. Neural Networks Learn. Syst.
Long Yang, Zhao Li, Zehong Hu, Shasha Ruan, Gang Pan
2023 A conf
FairRec: Fairness Testing for Deep Recommender Systems.
ISSTA
Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023 J jnl
FairRec: Fairness Testing for Deep Recommender Systems.
CoRR
Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue
2023 J jnl
Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services.
IEEE Trans. Neural Networks Learn. Syst.
Zhao Li, Haifeng Sun, Zheng Xiong, Qun Huang, Zehong Hu, Ding Li, Shasha Ruan, Hai Hong, Jie Gui, Jintao He, Zebin Xu, Yang Fang
2022 J jnl
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems.
ACM Trans. Knowl. Discov. Data
Zhao Li, Junshuai Song, Zehong Hu, Zhen Wang, Jun Gao
2021 J jnl
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce.
Neurocomputing
Junshuai Song, Xiaoru Qu, Zehong Hu, Zhao Li, Jun Gao, Ji Zhang
2021 A conf
Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
CIKM
Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu
2020 — conf
Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors.
DASFAA (1)
Zhao Li, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, Jianliang Gao
2020 A* conf
PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems.
ICDE
Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li, Jun Gao
2019 J jnl
Artificial Intelligence for Prosthetics - challenge solutions.
CoRR
Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
2019 A* conf
CRSRL: Customer Routing System Using Reinforcement Learning.
IJCAI
Chong Long, Zining Liu, Xiaolu Lu, Zehong Hu, Yafang Wang
2019 A* conf
FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform.
ICDE
Zhao Li, Junshuai Song, Shichang Hu, Shasha Ruan, Long Zhang, Zehong Hu, Jun Gao
2019 A conf
Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits.
AAMAS
Zehong Hu, Zhen Wang, Zhao Li, Shichang Hu, Shasha Ruan, Jie Zhang
2019 A* conf
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits.
AAAI
Zehong Hu, Jie Zhang, Zhao Li
2019 J jnl
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning.
CoRR
Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang
2019 J jnl
Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning.
IEEE Access
Zining Liu, Chong Long, Xiaolu Lu, Zehong Hu, Jie Zhang, Yafang Wang
2018 A* conf
A Novel Strategy for Active Task Assignment in Crowd Labeling.
IJCAI
Zehong Hu, Jie Zhang
2018 A* conf
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
NeurIPS
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
2018 J jnl
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
CoRR
Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
2018 — —
Learning-based mechanism design for microtask crowdsourcing
Zehong Hu
2018 — conf
Revisiting Public Reputation Calculation in a Personalized Trust Model.
TRUST@AAMAS
Robin Cohen, Peng-Fei Wang, Zehong Hu
2018 J jnl
Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality.
IEEE Trans. Comput. Soc. Syst.
Zehong Hu, Jie Zhang
2017 A conf
Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models.
AAMAS
Donghun Kang, Zhenchao C. Bing, Wen Song, Zehong Hu, Shuo Chen, Jie Zhang, Hui Xi
2017 A* conf
Optimal Posted-Price Mechanism in Microtask Crowdsourcing.
IJCAI
Zehong Hu, Jie Zhang
2016 A conf
A Novel Approach to Evaluate Robustness of Incentive Mechanism Against Bounded Rationality: (Doctoral Consortium).
AAMAS
Zehong Hu
2016 A* conf
Efficient Computation of Emergent Equilibrium in Agent-Based Simulation.
AAAI
Zehong Hu, Meng Sha, Moath H. A. Jarrah, Jie Zhang, Hui Xi