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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
— University of Cambridge, Department of Engineering, UK (and 3 more)
- Kai Li 0003 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Kai Li 0004
— North University of China, Department of the Shanxi Key Laboratory of Signal Capturing and Processing, Taiyuan, China
- Kai Li 0005
— Facebook Inc, Menlo Park, CA, USA (and 1 more)
- 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
— Renmin University of China, School of Information Resource Management, Beijing, China (and 2 more)
- Kai Li 0011
— Shanghai University of Finance and Economics, School of Information Management and Engineering, China
- Kai Li 0012
— NEC Laboratories America, Machine Learning Department, Princeton, NJ, USA (and 1 more)
- Kai Li 0013
— Zhengzhou Institute of Surveying and Mapping, China
- Kai Li 0014
— University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
- Kai Li 0015 — Wuhan University, School of Remote Sensing and Information Engineering, Hubei, China
- Kai Li 0016
— Shanghai University, School of Communication and Information Engineering, China (and 1 more)
- Kai Li 0017
— San Diego State University, CA, USA (and 1 more)
- Kai Li 0018
— Japan Advanced Institute of Science and Technology, School of Information Science, Japan
- Kai Li 0019
— Hefei University of Technology, School of Management, China
- Kai Li 0020
— Nankai University, Business School, Tianjin, China
- Kai Li 0021
— Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China (and 3 more)
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2020 – today
- 2024
- [j11]Yongxin Kang
, Enmin Zhao, Yifan Zang, Lijuan Li
, Kai Li
, Pin Tao, Junliang Xing
:
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. IEEE Trans. Artif. Intell. 5(2): 751-762 (2024) - [j10]Tianze Zhou
, Fubiao Zhang
, Kun Shao, Zipeng Dai, Kai Li
, Wenhan Huang, Weixun Wang
, Bin Wang
, Dong Li, Wulong Liu, Jianye Hao
:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [j9]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. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j8]Yang Li
, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang
, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang:
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - [c39]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 - [c38]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 - [c37]Ben Chen, Xuechao Zou, Yu Zhang, Jiayu Li, Kai Li, Junliang Xing, Pin Tao:
LEFormer: A Hybrid CNN-Transformer Architecture for Accurate Lake Extraction from Remote Sensing Imagery. ICASSP 2024: 5710-5714 - [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 - [i11]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) - 2023
- [j7]Yang Yang
, Mulei Ma
, Hequan Wu, Quan Yu
, Xiaohu You
, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami
, Geoffrey Ye Li
, Jiangzhou Wang, Guangyi Liu
, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson
, Kat-Kit Wong
, Shanzhi Chen
, Zhiqin Wang
, Mérouane Debbah, Schahram Dustdar
, Frank Eliassen
, Tao Chen
, Xiangyang Duan, Shaohui Sun
, Xiaofeng Tao
, Qinyu Zhang
, Jianwei Huang
, Wenjun Zhang
, Jie Li
, Yue Gao
, Honggang Zhang
, Xu Chen
, Xiaohu Ge
, Yong Xiao
, Cheng-Xiang Wang
, Zaichen Zhang
, Song Ci
, Guoqiang Mao
, Changle Li
, Ziyu Shao
, Yong Zhou
, Junrui Liang
, Kai Li, Liantao Wu
, Fanglei Sun
, Kunlun Wang
, Zening Liu, Kun Yang
, Jun Wang
, Teng Gao, Hongfeng Shu:
6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. 37(5): 71-80 (2023) - [c34]Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing:
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 485-493 - [c33]Xuechao Zou
, Kai Li, Junliang Xing, Pin Tao, Yachao Cui:
PMAA: A Progressive Multi-Scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-Temporal Satellite Imagery. ECAI 2023: 3165-3172 - [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 - [i10]Xuechao Zou, Kai Li, Junliang Xing, Pin Tao, Yachao Cui:
PMAA: A Progressive Multi-scale Attention Autoencoder Model for High-Performance Cloud Removal from Multi-temporal Satellite Imagery. CoRR abs/2303.16565 (2023) - [i9]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) - [i8]Ben Chen, Xuechao Zou, Kai Li, Yu Zhang, Junliang Xing, Pin Tao:
High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark. CoRR abs/2308.08443 (2023) - [i7]Shiying Wang, Xuechao Zou, Kai Li, Junliang Xing, Pin Tao:
PanBench: Towards High-Resolution and High-Performance Pansharpening. CoRR abs/2311.12083 (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
, Yang Li
, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang
, Kai Li:
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
, Yong Zhou, Yang Yang:
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
, Enmin Zhao
, Yifan Zang
, Kai Li
, Junliang Xing
:
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
, Kai Li, Yang Yang
, Fanglei Sun, Liantao Wu
, Panpan Shi, Song Ci, Yong Zuo
:
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
, Fanglei Sun, Kai Li, Ruiqing Chen, Yang Yang, Jun Wang:
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
, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu:
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
, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang:
Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC 2021: 1-6 - [c11]Enmin Zhao, Renye Yan, Kai Li, Lijuan Li
, Junliang Xing:
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
, Yang Li, Kai Li, Shuang Zhao, Rui Chen
, Jun Wang, Song Ci:
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 2024-08-16 18:33 CEST by the dblp team
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