Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. - Mengchen Zhao; Bo An 001; Christopher Kiekintveld (AAAI, 2016)

Efficient Label Contamination Attacks Against Black-Box Learning Models. - Mengchen Zhao; Bo An 001; Wei Gao 008; Teng Zhang 001 (IJCAI, 2017)

Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance. - Xiaobo Ma; Yihui He; Xiapu Luo; Jianfeng Li 006; Mengchen Zhao; Bo An 001; Xiaohong Guan (CoRR, 2017)

Bayesian Multi-Hypothesis Wyner-Ziv Video Coding. - Lili Meng; Jingxiu Zong; Guina Sun; Jie Cheng; Jia Zhang; Mengchen Zhao (J. Inf. Hiding Multim. Signal Process., 2017)

HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. - Yanhai Xiong; Haipeng Chen 001; Mengchen Zhao; Bo An 001 (AAAI, 2018)

Data Poisoning Attacks on Multi-Task Relationship Learning. - Mengchen Zhao; Bo An 001; Yaodong Yu; Sulin Liu; Sinno Jialin Pan (AAAI, 2018)

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. - Mengchen Zhao; Zhao Li 007; Bo An 001; Haifeng Lu; Yifan Yang 001; Chen Chu (IJCAI, 2018)

Camera Placement Based on Vehicle Traffic for Better City Security Surveillance. - Xiaobo Ma; Yihui He; Xiapu Luo; Jianfeng Li 006; Mengchen Zhao; Bo An 001; Xiaohong Guan (IEEE Intell. Syst., 2018)

Advanced attack and defense techniques in machine learning systems - Mengchen Zhao (2018)

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. - Qingyu Guo; Zhao Li 007; Bo An 001; Pengrui Hui; Jiaming Huang; Long Zhang; Mengchen Zhao (WWW, 2019)

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. - Junjie Wang; Qichao Zhang; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (CoRR, 2020)

Randomized Security Patrolling for Link Flooding Attack Detection. - Xiaobo Ma; Bo An 001; Mengchen Zhao; Xiapu Luo; Lei Xue 001; Zhenhua Li 001; Tony T. N. Miu; Xiaohong Guan (IEEE Trans. Dependable Secur. Comput., 2020)

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. - Xidong Feng; Chen Chen 077; Dong Li 016; Mengchen Zhao; Jianye Hao; Jun Wang 012 (CIKM, 2021)

Modeling Scale-free Graphs for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jian Hao; Irwin King (CoRR, 2021)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Dong Li 016 (CoRR, 2021)

Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM. - Mengchen Zhao; Xiujuan Yao; Jing Wang; Yi Yan; Xiang Gao; Yanan Fan (Sensors, 2021)

Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. - Yixu Gao; Kun Shao; Zhijian Duan 001; Zhongyu Wei; Dong Li 016; Bin Wang 034; Mengchen Zhao; Jianye Hao (DASFAA (3), 2022)

Online Ad Hoc Teamwork under Partial Observability. - Pengjie Gu; Mengchen Zhao; Jianye Hao; Bo An 001 (ICLR, 2022)

The ReprGesture entry to the GENEA Challenge 2022. - Sicheng Yang; Zhiyong Wu 001; Minglei Li 001; Mengchen Zhao; Jiuxin Lin; Liyang Chen; Weihong Bao (ICMI, 2022)

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. - Pengjie Gu; Mengchen Zhao; Chen Chen 077; Dong Li 016; Jianye Hao; Bo An 001 (ICML, 2022)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jianye Hao; Irwin King (WSDM, 2022)

Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. - Mingyang Sun; Mengchen Zhao; Yaqing Hou; Minglei Li 001; Huang Xu 003; Songcen Xu; Jianye Hao (CVPR, 2023)

Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. - Pengjie Gu; Xinyu Cai; Dong Xing; Xinrun Wang; Mengchen Zhao; Bo An 001 (NeurIPS, 2023)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. - Jing Wang 055; Mengchen Zhao; Wei Xia 001; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (PAKDD (3), 2023)

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. - Guangzheng Hu; Yuanheng Zhu; Dongbin Zhao; Mengchen Zhao; Jianye Hao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Empirical Policy Optimization for n-Player Markov Games. - Yuanheng Zhu; Weifan Li; Mengchen Zhao; Jianye Hao; Dongbin Zhao (IEEE Trans. Cybern., 2023)

Improving Unsupervised Hierarchical Representation With Reinforcement Learning. - Ruyi An; Yewen Li; Xu He; Pengjie Gu; Mengchen Zhao; Dong Li 016; Jianye Hao; Chaojie Wang 001; Bo An 001; Mingyuan Zhou (CVPR, 2024)

PoRank: A Practical Framework for Learning to Rank Policies. - Pengjie Gu; Mengchen Zhao; Xu He; Yi Cai; Bo An 001 (IJCAI, 2024)

RTADev: Intention Aligned Multi-Agent Framework for Software Development. - Jie Liu; Guohua Wang; Ronghui Yang; Jiajie Zeng; Mengchen Zhao; Yi Cai (ACL (Findings), 2025)

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay. - Yunan Zhang 003; Shuoran Jiang; Mengchen Zhao; Yuefeng Li; Yang Fan; Xiangping Wu 001; Qingcai Chen (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)