publications

† denotes equal contribution, * denotes corresponding author.

2024

  1. IJCAI
    PoRank: A Practical Framework for Learning to Rank Policies.
    Pengjie Gu ,  Mengchen Zhao* ,  Xu He ,  Yi Cai ,  and  Bo An
    In Proceedings of the 33rd International Joint Conference on Artificial Intelligence , 2024
  2. CVPR
    Improving Unsupervised Hierarchical Representation with Reinforcement Learning.
    Ruyi An ,  Yewen Li ,  Xu He ,  Pengjie Gu ,  Mengchen Zhao ,  Dong Li ,  Jianye Hao ,  Bo An ,  Chaojie Wang ,  and  Mingyuan Zhou
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024

2023

  1. NeurIPS
    Offline RL with Discrete Proxy Representations for Generalizability in POMDPs.
    Pengjie Gu ,  Xinyu Cai ,  Dong Xing ,  Xinrun Wang* ,  Mengchen Zhao* ,  and  Bo An
    In Proceedings of the 37th Conference on Neural Information Processing Systems , 2023
  2. PAKDD
    RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
    Jing Wang† ,  Mengchen Zhao† ,  Wei Xia ,  Zhenhua Dong ,  Ruiming Tang ,  Rui Zhang ,  Guangyong Chen ,  Jianye Hao ,  and  Phengann Heng
    In Proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining , 2023
  3. CVPR
    Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pre-trained Rewards.
    Mingyang Sun† ,  Mengchen Zhao† ,  Yaqing Hou ,  Minglei Li ,  Huang Xu ,  Songcen Xu ,  and  Jianye Hao
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023

2022

  1. ICML
    Learning Pseudometric Based Action Representations for Offline Reinforcement Learning.
    Pengjie Gu ,  Mengchen Zhao* ,  Chen Chen ,  Jianye Hao ,  and  Bo An
    In Proceedings of the 39th International Conference on Machine Learning , 2022
  2. ICLR
    Online Ad Hoc Teamwork Under Partial Observability.
    Pengjie Gu ,  Mengchen Zhao* ,  Jianye Hao ,  and  Bo An
    In International Conference on Learning Representations , 2022
  3. WSDM
    Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.
    Yankai Chen ,  Menglin Yang ,  Yingxue Zhang ,  Mengchen Zhao ,  Ziqiao Meng ,  Jianye Hao ,  and  Irwin King
    In Proceedings of the 15th ACM International Conference on Web Search and Data Mining , 2022
  4. TOC
    Empirical Policy Optimization for n-Player Markov Games.
    Yuanheng Zhu ,  Weifan Li ,  Mengchen Zhao ,  Jianye Hao ,  and  Dongbin Zhao
    IEEE Transactions on Cybernetics, 2022
  5. ICMI
    The ReprGesture entry to the GENEA Challenge 2022.
    Sicheng Yang ,  Zhiyong Wu ,  Minglei Li ,  Mengchen Zhao ,  Jiuxin Lin ,  Liyang Chen ,  and  Weihong Bao
    In Proceedings of the 2022 International Conference on Multimodal Interaction , 2022
  6. DASFAA
    Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity.
    Yixu Gao ,  Kun Shao ,  Zhijian Duan ,  Zhongyu Wei ,  Dong Li ,  Bin Wang ,  Mengchen Zhao ,  and  Jianye Hao
    In International Conference on Database Systems for Advanced Applications , 2022
  7. CIKM
    CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation.
    Xidong Feng ,  Chen Chen ,  Dong Li ,  Mengchen Zhao ,  Jianye Hao ,  and  Jun Wang
    In Proceedings of the 30th ACM International Conference on Information and Knowledge Management , 2022

2021

  1. TNNLS
    Event-Triggered Multi-Agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.
    Guangzheng Hu ,  Yuanheng Zhu ,  Dongbin Zhao ,  Mengchen Zhao ,  and  Jianye Hao
    IEEE Transactions on Neural Networks and Learning Systems, 2021

2019

  1. WWW
    Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach.
    Qingyu Guo ,  Zhao Li ,  Bo An ,  Pengrui Hui ,  Jiaming Huang ,  Long Zhang ,  and  Mengchen Zhao*
    In Proceedings of the World Wide Web Conference , 2019

2018

  1. IJCAI
    Impression Allocation for Combating Fraud in E-Commerce via Deep Reinforcement Learning with Action Norm Penalty.
    Mengchen Zhao ,  Zhao Li ,  Bo An ,  Haifeng Lu ,  Yifan Yang ,  and  Chen Chu
    In Proceedings of the 27th International Joint Conference on Artificial Intelligence , 2018
  2. AAAI
    Data Poisoning Attacks on Multi-task Relationship Learning.
    Mengchen Zhao ,  Bo An ,  Yaodong Yu ,  Sulin Liu ,  and  Sinno Jialin Pan
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence , 2018
  3. AAAI
    HogRider: Champion Agent of Microsoft Malmo collaborative AI challenge.
    Yanhai Xiong ,  Haipeng Chen ,  Mengchen Zhao ,  and  Bo An
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence , 2018
  4. IS
    Camera placement based on vehicle traffic for better city security surveillance.
    Xiaobo Ma ,  He Yihui ,  Mengchen Zhao ,  Luo Xiapu ,  Li Jianfeng ,  Bo An ,  and  Xiaohong Guan
    IEEE Intelligent Systems, 2018
  5. TDSC

2017

  1. IJCAI
    Efficient Label Contamination Attacks Against Black-Box Learning Models.
    Mengchen Zhao ,  Bo An ,  Wei Gao ,  and  Teng Zhang
    In Proceedings of the 26th International Joint Conference on Artificial Intelligence , 2017

2016

  1. AAAI
    Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks.
    Mengchen Zhao ,  Bo An ,  and  Christopher Kiekintveld
    In Proceedings of the 30th AAAI Conference on Artificial Intelligence , 2016

2015

  1. BECIS
    An Initial Study on Personalized Filtering Thresholds in Defending Sequential Spear Phishing Attacks.
    Mengchen Zhao ,  Bo An ,  and  Christopher Kiekintveld
    In Proceedings of the 2015 IJCAI Workshop on Behavioral, Economic and Computational Intelligence for Security , 2015