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2020 – today
- 2024
[c17]Ruyi An, Yewen Li, Xu He, Pengjie Gu, Mengchen Zhao, Dong Li, Jianye Hao, Chaojie Wang, Bo An, Mingyuan Zhou:
Improving Unsupervised Hierarchical Representation With Reinforcement Learning. CVPR 2024: 22946-22956- [c16]Pengjie Gu, Mengchen Zhao, Xu He, Yi Cai, Bo An:
PoRank: A Practical Framework for Learning to Rank Policies. IJCAI 2024: 4044-4052 - 2023
- [j6]Yuanheng Zhu
, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j5]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [c15]Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao:
Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. CVPR 2023: 2331-2340 - [c14]Pengjie Gu, Xinyu Cai, Dong Xing, Xinrun Wang, Mengchen Zhao, Bo An:
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs. NeurIPS 2023 - [c13]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [i8]Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang:
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR abs/2312.10743 (2023) - 2022
- [c12]Yixu Gao, Kun Shao, Zhijian Duan, Zhongyu Wei, Dong Li, Bin Wang, Mengchen Zhao, Jianye Hao:
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity. DASFAA (3) 2022: 389-400 - [c11]Pengjie Gu, Mengchen Zhao, Jianye Hao, Bo An:
Online Ad Hoc Teamwork under Partial Observability. ICLR 2022 - [c10]Sicheng Yang, Zhiyong Wu, Minglei Li, Mengchen Zhao, Jiuxin Lin, Liyang Chen, Weihong Bao:
The ReprGesture entry to the GENEA Challenge 2022. ICMI 2022: 758-763 - [c9]Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An:
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML 2022: 7902-7918 - [c8]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [i7]Sicheng Yang, Zhiyong Wu, Minglei Li, Mengchen Zhao, Jiuxin Lin, Liyang Chen, Weihong Bao:
The ReprGesture entry to the GENEA Challenge 2022. CoRR abs/2208.12133 (2022) - 2021
- [j4]Mengchen Zhao, Xiujuan Yao, Jing Wang, Yi Yan, Xiang Gao, Yanan Fan:
Single-Channel Blind Source Separation of Spatial Aliasing Signal Based on Stacked-LSTM. Sensors 21(14): 4844 (2021) - [c7]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM 2021: 484-493 - [i6]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King:
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR abs/2108.06468 (2021) - [i5]Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang:
CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR abs/2108.10511 (2021) - [i4]Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Dong Li:
Empirical Policy Optimization for n-Player Markov Games. CoRR abs/2110.08979 (2021) - 2020
- [j3]Xiaobo Ma, Bo An, Mengchen Zhao, Xiapu Luo, Lei Xue, Zhenhua Li, Tony T. N. Miu, Xiaohong Guan:
Randomized Security Patrolling for Link Flooding Attack Detection. IEEE Trans. Dependable Secur. Comput. 17(4): 795-812 (2020) - [i3]Junjie Wang, Qichao Zhang, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Dynamic Horizon Value Estimation for Model-based Reinforcement Learning. CoRR abs/2009.09593 (2020) - [i2]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint. CoRR abs/2010.04978 (2020)
2010 – 2019
- 2019
- [c6]Qingyu Guo, Zhao Li, Bo An, Pengrui Hui, Jiaming Huang, Long Zhang, Mengchen Zhao:
Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach. WWW 2019: 616-626 - 2018
- [b1]Mengchen Zhao:
Advanced attack and defense techniques in machine learning systems. Nanyang Technological University, Singapore, 2018 - [j2]Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan:
Camera Placement Based on Vehicle Traffic for Better City Security Surveillance. IEEE Intell. Syst. 33(4): 49-61 (2018) - [c5]Mengchen Zhao, Bo An, Yaodong Yu, Sulin Liu, Sinno Jialin Pan:
Data Poisoning Attacks on Multi-Task Relationship Learning. AAAI 2018: 2628-2635 - [c4]Yanhai Xiong, Haipeng Chen, Mengchen Zhao, Bo An:
HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge. AAAI 2018: 4767-4775 - [c3]Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu:
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. IJCAI 2018: 3940-3946 - 2017
- [j1]Lili Meng, Jingxiu Zong, Guina Sun, Jie Cheng, Jia Zhang, Mengchen Zhao:
Bayesian Multi-Hypothesis Wyner-Ziv Video Coding. J. Inf. Hiding Multim. Signal Process. 8(2): 478-485 (2017) - [c2]Mengchen Zhao, Bo An, Wei Gao, Teng Zhang:
Efficient Label Contamination Attacks Against Black-Box Learning Models. IJCAI 2017: 3945-3951 - [i1]Xiaobo Ma, Yihui He, Xiapu Luo, Jianfeng Li, Mengchen Zhao, Bo An, Xiaohong Guan:
Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance. CoRR abs/1705.08508 (2017) - 2016
- [c1]Mengchen Zhao, Bo An, Christopher Kiekintveld:
Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks. AAAI 2016: 658-665
Coauthor Index
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