Zhaopeng Meng

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 74

Top Topics

Sample Selection

Reinforcement Learning

Continuous Action

Top Venues

Publications

Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng
Corrigendum to "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning" [Knowledge-Based Systems 296 (2024) 111860]. Knowl. Based Syst. 299 (2024)
Heyi Zhang, Xin Wang, Zhaopeng Meng, Yongzhe Jia, Dawei Xu
Qibo: A Large Language Model for Traditional Chinese Medicine. CoRR (2024)
Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng
Learning with noisy labels using collaborative sample selection and contrastive semi-supervised learning. Knowl. Based Syst. 296 (2024)
Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. AAMAS (2024)
Xueqi Gao, Chao Xu, Yihang Song, Jing Hu, Jian Xiao, Zhaopeng Meng
Node-Wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG. ICASSP (2023)
Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR (2023)
Xiaohan Hu, Yi Ma, Chenjun Xiao, Yan Zheng, Zhaopeng Meng
In-Sample Policy Iteration for Offline Reinforcement Learning. CoRR (2023)
Kai Zhao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration. CoRR (2023)
Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng
Reining Generalization in Offline Reinforcement Learning via Representation Distinction. NeurIPS (2023)
Qing Miao, Xiaohe Wu, Chao Xu, Yanli Ji, Wangmeng Zuo, Yiwen Guo, Zhaopeng Meng
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning. CoRR (2023)
Shixi Lian, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng
HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach. CoRR (2023)
Qing Miao, Chao Xu, Feng Li, Wangmeng Zuo, Zhaopeng Meng
Delayed rectification of discriminative correlation filters for visual tracking. Vis. Comput. 39 (4) (2023)
Qing Miao, Xiaohe Wu, Chao Xu, Wangmeng Zuo, Zhaopeng Meng
On better detecting and leveraging noisy samples for learning with severe label noise. Pattern Recognit. 136 (2023)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Qiangguo Jin, Hui Cui, Changming Sun, Jiangbin Zheng, Leyi Wei, Zhenyu Fang, Zhaopeng Meng, Ran Su
Semi-supervised Histological Image Segmentation via Hierarchical Consistency Enforcement. MICCAI (2) (2022)
Zihang Wan, Chao Xu, Jing Hu, Jian Xiao, Zhaopeng Meng, Jitai Chen
Multi-view Stereo Network with Attention Thin Volume. PRICAI (3) (2022)
Pengyi Li, Hongyao Tang, Jianye Hao, Yan Zheng, Xian Fu, Zhaopeng Meng
: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. CoRR (2022)
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. IJCAI (2022)
Xueqi Gao, Chao Xu, Yihang Song, Jing Hu, Jian Xiao, Zhaopeng Meng
Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG. CoRR (2022)
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. ICLR (2022)
Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. CoRR (2022)
Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. CoRR (2021)
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. DAI (2021)
Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Jianye Hao, Zhaopeng Meng, Peng Liu
Exploration in Deep Reinforcement Learning: A Comprehensive Survey. CoRR (2021)
Ziqi Xu, Chao Xu, Jing Hu, Zhaopeng Meng
Robust resistance to noise and outliers: Screened Poisson Surface Reconstruction using adaptive kernel density estimation. Comput. Graph. 97 (2021)
Tingting Cai, Shuhong Sha, Zhaopeng Meng, Chung-Ming Own
Tangible vs. Multi-Touch: Comparing Potential to Enhance Learning for Preschool Children Using Eye-tracking. ICHMI (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. CoRR (2021)
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. AAAI (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. Expert Syst. Appl. 176 (2021)
Kanghui Zeng, Chao Xu, Jing Hu, Yushi Li, Zhaopeng Meng
L-DPSNet: Deep Photometric Stereo Network via Local Diffuse Reflectance Maxima. ICONIP (5) (2021)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR (2021)
Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
Addressing Action Oscillations through Learning Policy Inertia. CoRR (2021)
Tong Sang, Hongyao Tang, Jianye Hao, Yan Zheng, Zhaopeng Meng
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. CoRR (2021)
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35 (1) (2021)
Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Leyi Wei, Ran Su
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images. CoRR (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
Free-form tumor synthesis in computed tomography images via richer generative adversarial network. Knowl. Based Syst. 218 (2021)
Qiangguo Jin, Hui Cui, Changming Sun, Zhaopeng Meng, Ran Su
Cascade knowledge diffusion network for skin lesion diagnosis and segmentation. Appl. Soft Comput. 99 (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR (2020)
Yanan Zhang, Qinghua Hu, Zhaopeng Meng, Anca Ralescu
Fuzzy dynamic timetable scheduling for public transit. Fuzzy Sets Syst. 395 (2020)
Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. IJCAI (2020)
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. AAAI (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR (2020)
Zhe Liang, Chao Xu, Jing Hu, Yushi Li, Zhaopeng Meng
Better Together: Shading Cues and Multi-View Stereo for Reconstruction Depth Optimization. IEEE Access 8 (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS (2020)
Qiangguo Jin, Qi Chen, Zhaopeng Meng, Bing Wang, Ran Su
Construction of Retinal Vessel Segmentation Models Based on Convolutional Neural Network. Neural Process. Lett. 52 (2) (2020)
Jianwen Sun, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yang Liu
Continuous Multiagent Control using Collective Behavior Entropy for Large-Scale Home Energy Management. CoRR (2020)
Weichao Wang, Zhaopeng Meng, Zan Wang, Shuang Liu, Jianye Hao
LoopFix: an approach to automatic repair of buggy loops. J. Syst. Softw. 156 (2019)
Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS (2019)
Yanan Zhang, Zhaopeng Meng, Yan Zheng, Anca Ralescu
Schedule optimization under fuzzy constraints of vehicle capacity. Fuzzy Optim. Decis. Mak. 18 (2) (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI (2019)
Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178 (2019)
Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Zhaopeng Meng, Yaodong Yang, Li Wang
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction. CoRR (2019)
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI (2018)
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS (2018)
Wanli Xue, Zhiyong Feng, Chao Xu, Zhaopeng Meng, Chengwei Zhang
Adaptive Object Tracking via Multi-Angle Analysis Collaboration. Sensors 18 (11) (2018)
Yan Zheng, Yanran Li, Chung-Ming Own, Zhaopeng Meng, Mengya Gao
Real-time predication and navigation on traffic congestion model with equilibrium Markov chain. Int. J. Distributed Sens. Networks 14 (4) (2018)
Zhaopeng Meng, Xiaoyu Zhai, Jianguo Wei, Zhiyang Wang, Hanzhong Wu
Absolute Measurement of the Refractive Index of Water by a Mode-Locked Laser at 518 nm. Sensors 18 (4) (2018)
Jianye Hao, Eunsuk Kang, Jun Sun, Zan Wang, Zhaopeng Meng, Xiaohong Li, Zhong Ming
An Adaptive Markov Strategy for Defending Smart Grid False Data Injection From Malicious Attackers. IEEE Trans. Smart Grid 9 (4) (2018)
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. CoRR (2018)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Sandip Sen, Sheng Jin
Hierarchical Heuristic Learning towards Effcient Norm Emergence. CoRR (2018)
Mu Zhang, Yan Zheng, Chenhui Cui, Zhaopeng Meng, Chung-Ming Own
Preliminary Application of Gesture Recognition to Virtual Acupuncture. ISCID (1) (2017)
Tong Liu, Chao Xu, Zhaopeng Meng, Wanli Xue, Chao Li
Improvement on Tracking Based on Motion Model and Model Updater. CCCV (3) (2017)
Zhaopeng Meng, Fan Zhao
Change Management of ERP Usage. HCI (1) (2017)
Yanan Zhang, Zhaopeng Meng, Anca Ralescu
Dynamic timetable scheduling with reverse-flow technique in fuzzy environment. IFSA-SCIS (2017)
Shang Li, Zhaopeng Meng, Chung-Ming Own
The indoor NLOS identification on dempster-shafer evidence theory. ICCIP (2016)
Kehan Liu, Zhaopeng Meng, Chung-Ming Own
Gaussian Process Regression Plus Method for Localization Reliability Improvement. Sensors 16 (8) (2016)
Tianpei Yang, Zhaopeng Meng, Jianye Hao, Sandip Sen, Chao Yu
Accelerating Norm Emergence Through Hierarchical Heuristic Learning. ECAI (2016)
Chung-Ming Own, Zhaopeng Meng, Kehan Liu
Handling Neighbor Discovery and Rendezvous Consistency with Weighted Quorum-Based Approach. Sensors 15 (9) (2015)
Peng Wang, Wenhuan Lu, Zhaopeng Meng, Jianguo Wei, Françoise Fogelman-Soulié
Towards Knowledge Structuring of Sensor Data Based on FCA and Ontology. FCA4AI@IJCAI (2013)
Chun Shang, Yuexian Hou, Shuo Zhang, Zhaopeng Meng
A New Closeness Metric for Social Networks Based on the k Shortest Paths. ISNN (2) (2010)