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Kai Li

95 papers · 2015–2026 · 15 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 20 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Kai Li?

9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Junliang Xing, Haobo Fu, Qiang Fu 23 papers · 2015–2026 · AAAI, ICLR, CVPR Hide ▲
DGS: Dual Gradient and Semantic-Shift Guided Low-Rank Adaptation for Class Incremental Learning CVPR 2026 Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026 An Open-Ended Learning Framework for Opponent Modeling AAAI 2025 Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025 Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025 Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games UAI 2025 Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Dynamic Discounted Counterfactual Regret Minimization ICLR 2024 Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NeurIPS 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024 Opponent Modeling with In-context Search NeurIPS 2024 Towards Offline Opponent Modeling with In-context Learning ICLR 2024 Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NeurIPS 2023 Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022 AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning AAAI 2022 AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms AAAI 2022 Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022 Exploration via State influence Modeling AAAI 2021 Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020 Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation CVPR 2018 Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration CVPR 2015
11 papers whose co-authors appear nowhere else under this name
DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026 DegVoC: Revisiting Neural Vocoder from a Degradation Perspective AAAI 2026 SepPrune: Structured Pruning for Efficient Deep Speech Separation AAAI 2026 When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse CVPR 2026 FPEM: Face Prior Enhanced Facial Attractiveness Prediction for Live Videos with Face Retouching ICCV 2025 A Course Shared Task on Evaluating LLM Output for Clinical Questions ACL 2024 A Neural State-Space Modeling Approach to Efficient Speech Separation Interspeech 2023 PruMUX: Augmenting Data Multiplexing with Model Compression ACL 2023 Video Matting via Consistency-Regularized Graph Neural Networks ICCV 2021 Learning Relaxed Belady for Content Distribution Network Caching NSDI 2020 Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes AISTATS 2020

Venues · all papers under this name

AAAI (16) CVPR (15) ICLR (14) ICCV (11) NeurIPS (11) ICML (6) Interspeech (6) ECCV (4) ACL (3) IJCAI (3) EMNLP (2) AISTATS (1) NSDI (1) UAI (1) WACV (1)