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Kai Li 0022
Person information
- affiliation (PhD 2018): Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Kai Li — disambiguation page
- Kai Li 0001
— Princeton University, NJ, USA
- Kai Li 0002
- Kai Li 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Kai Li 0004
- Kai Li 0005
- Kai Li 0006 — Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China
- Kai Li 0007 — East Carolina University, Department of Industrial Technology, Greenville, NC, USA (and 1 more)
- Kai Li 0008 — Toyohashi University of Technology, Research Center for Agrotechnology and Biotechnology, Japan
- Kai Li 0009 — InterDigital Communications, Melville, NY, USA (and 1 more)
- Kai Li 0010
- Kai Li 0011
- Kai Li 0012
- Kai Li 0013
- Kai Li 0014
- Kai Li 0015 — Wuhan University, School of Remote Sensing and Information Engineering, Hubei, China
- Kai Li 0016
- Kai Li 0017
- Kai Li 0018
- Kai Li 0019
- Kai Li 0020
- Kai Li 0021
- Kai Li 0023 — Tsinghua University, Department of Computer Science and Technology, Beijing, China (and 1 more)
- Kai Li 0024
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2020 – today
- 2024
- [j12]Kai Li
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. Artif. Intell. 337: 104232 (2024) - [j11]Yongxin Kang
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. IEEE Trans. Artif. Intell. 5(2): 751-762 (2024) - [j10]Tianze Zhou
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [j9]Yang Li
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - [j8]Kai Li
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14618-14632 (2024) - [c38]Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng:
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI 2024: 12304-12312 - [c37]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI 2024: 12376-12384 - [c36]Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Towards Offline Opponent Modeling with In-context Learning. ICLR 2024 - [c35]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Dynamic Discounted Counterfactual Regret Minimization. ICLR 2024 - [c34]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI 2024: 5272-5280 - [i9]Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR abs/2404.13891 (2024) - [i8]Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu:
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR abs/2410.15910 (2024) - 2023
- [j7]Yang Yang
6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. 37(5): 71-80 (2023) - [c33]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 485-493 - [c32]Mulei Ma, Chenyu Gong, Yang Yang, Yue Gao, Kai Li:
Modeling of Diverse Computing Requirements in Azure Task Traces. ICC Workshops 2023: 643-647 - [c31]Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao:
Pseudo Value Network Distillation for High-Performance Exploration. IJCNN 2023: 1-8 - [c30]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS 2023 - [i7]Xuechao Zou, Kai Li, Junliang Xing, Yu Zhang, Shiying Wang, Lei Jin, Pin Tao:
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images. CoRR abs/2308.04417 (2023) - [i6]Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng:
Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR abs/2312.14472 (2023) - 2022
- [j6]Fanglei Sun
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. 21(8): 6167-6179 (2022) - [c29]Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing:
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. AAAI 2022: 4689-4697 - [c28]Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI 2022: 5244-5251 - [c27]Guoliang Gao, Liantao Wu, Yang Yang, Kai Li:
DBM: Delay-sensitive Buffering Mechanism for DNN Offloading Services. APCC 2022: 421-426 - [c26]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. AAMAS 2022: 1630-1632 - [c25]Jinhan Guo, Kai Li, Hanhui Li, Wenxiang Liu, Zeming Zhuang
Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral. GLOBECOM (Workshops) 2022: 916-921 - [c24]Hanhui Li, Kai Li, Jinhan Guo, Yang Yang, Yong Zhou:
NPSR: Neural Network enabled Phase-Space Reconstruction for Wireless Channel Prediction. GLOBECOM (Workshops) 2022: 1729-1735 - [c23]Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang:
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR 2022 - [c22]Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang:
Greedy when Sure and Conservative when Uncertain about the Opponents. ICML 2022: 6829-6848 - [c21]Yongxin Kang
Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. ICONIP (4) 2022: 189-201 - [c20]Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. IJCNN 2022: 1-8 - [c19]Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng:
Multiagent Q-learning with Sub-Team Coordination. NeurIPS 2022 - [i5]Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li:
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR abs/2205.10750 (2022) - 2021
- [j5]Zhouyang Lin
DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation. IEEE Open J. Comput. Soc. 2: 321-333 (2021) - [c18]Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing:
Exploration via State influence Modeling. AAAI 2021: 8047-8054 - [c17]Lei Zhu, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun, Jinhan Guo, Hanhui Li:
SFDIC: Spatial Features Distributed Interference Coordination for Massive MIMO Systems. APCC 2021: 51-55 - [c16]Liang Chen
Deep Reinforcement Learning for Resource Allocation in Massive MIMO. EUSIPCO 2021: 1611-1615 - [c15]Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang:
Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. EUSIPCO 2021: 1631-1635 - [c14]Yang Li
MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. GLOBECOM 2021: 1-6 - [c13]Lei Zhu, Guoliang Gao, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun:
FSST: Frequency-Space Signal Transformation of Massive MIMO Channels. GLOBECOM 2021: 1-6 - [c12]Yang Li
Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC 2021: 1-6 - [c11]Enmin Zhao, Renye Yan, Kai Li, Lijuan Li
Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. IJCNN 2021: 1-7 - [i4]Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing:
L2E: Learning to Exploit Your Opponent. CoRR abs/2102.09381 (2021) - [i3]Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR abs/2106.00517 (2021) - 2020
- [c10]Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing:
Potential Driven Reinforcement Learning for Hard Exploration Tasks. IJCAI 2020: 2096-2102 - [i2]Jiangtao Kong, Yu Cheng, Benjia Zhou, Kai Li, Junliang Xing:
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. CoRR abs/2011.06228 (2020) - [i1]Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang:
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. CoRR abs/2012.06168 (2020)
2010 – 2019
- 2019
- [j4]Kai Li, Xiaoqing Luo, Zhancheng Zhang, Jun Wang:
基于四元数小波变换和Copula模型的图像融合 (Image Fusion Using Quaternion Wavelet Transform and Copula Model). 计算机科学 46(4): 293-299 (2019) - [c9]Zening Liu, Kunlun Wang, Kai Li, Ming-Tuo Zhou, Yang Yang:
Parallel Scheduling of Multiple Tasks in Heterogeneous Fog Networks. APCC 2019: 413-418 - [c8]Jiangtao Kong, Rongchao Xu, Junliang Xing, Kai Li, Wei Ma:
Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. ICIP 2019: 4040-4044 - [c7]Zening Liu, Yang Yang, Yu Chen, Kai Li, Ziqin Li, Xiliang Luo:
A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks. INFOCOM Workshops 2019: 1-6 - 2018
- [j3]Yang Yang
DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. IEEE Access 6: 23361-23371 (2018) - [c6]Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, Stephen J. Maybank:
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation. CVPR 2018: 399-408 - [c5]Zhipeng Ji, Congyan Lang, Kai Li, Junliang Xing:
Deep Age Estimation Model Stabilization from Images to Videos. ICPR 2018: 1420-1425 - 2017
- [j2]Kai Li, Junliang Xing, Weiming Hu, Stephen J. Maybank:
D2C: Deep cumulatively and comparatively learning for human age estimation. Pattern Recognit. 66: 95-105 (2017) - [j1]Junliang Xing, Kai Li, Weiming Hu, Chunfeng Yuan, Haibin Ling:
Diagnosing deep learning models for high accuracy age estimation from a single image. Pattern Recognit. 66: 106-116 (2017) - [c4]Cheng Cheng, Junliang Xing, Youji Feng, Pengcheng Liu, Xiaohu Shao, Kai Li, Xiang-Dong Zhou:
Weakly supervised multiscale-inception learning for web-scale face recognition. ICIP 2017: 815-819 - [c3]Kai Li, Yang Yang, Yu Chen, Xiumei Yang, Huiyue Yi:
A Novel Network Optimization Method for Cooperative Massive MIMO Systems. VTC Spring 2017: 1-5 - 2016
- [c2]Kai Li, Junliang Xing, Bing Li, Weiming Hu:
Bootstrapping deep feature hierarchy for pornographic image recognition. ICIP 2016: 4423-4427 - 2015
- [c1]Houwen Peng, Kai Li, Bing Li, Haibin Ling, Weihua Xiong, Weiming Hu:
Predicting Image Memorability by Multi-view Adaptive Regression. ACM Multimedia 2015: 1147-1150
Coauthor Index
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last updated on 2024-12-26 00:50 CET by the dblp team
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