← Authors

Kai Li

90 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (19) πŸ—ƒοΈ Keyword Collector (325) πŸ“ˆ Trend Setter πŸ’Ž Century Club (84) πŸ”₯ Unstoppable (8)

Conferences

AAAI (16) ICLR (14) ICCV (11) NIPS (11) CVPR (10) ICML (6) INTERSPEECH (6) ECCV (4) ACL (3) IJCAI (3) EMNLP (2) AISTATS (1) NSDI (1) UAI (1) WACV (1)

Top co-authors

Junliang Xing (20) Haobo Fu (16) Qiang Fu (15) Yulun Zhang (14) Jian Cheng (11) Xiu Li (10) Xiaolin Hu (9) Yun Fu (9) Chunming He (9) Yangsibo Huang (8)

Research topics

Core Methods (1)

Keywords

multi-agent system (6) domain adaptation (6) policy learning (4) diffusion model (4) neural network (4) attention mechanism (4) federated learning (4) semantic segmentation (4) convolutional neural network (4) large language model (3) speech separation (3) opponent modeling (3) reinforcement learning (3) data augmentation (3) counterfactual regret minimization (3) image restoration (3) few-shot learning (3) transfer learning (3) game theory (3) pseudo labeling (3)

Papers

DegVoC: Revisiting Neural Vocoder from a Degradation Perspective AAAI 2026
DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning AAAI 2026
SepPrune: Structured Pruning for Efficient Deep Speech Separation AAAI 2026
FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation AAAI 2026
Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection AAAI 2026
Deep (Predictive) Discounted Counterfactual Regret Minimization AAAI 2026
RUN: Reversible Unfolding Network for Concealed Object Segmentation ICML 2025
Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences ICLR 2025
Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation ICCV 2025
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation ICLR 2025
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning ICLR 2025
Critical Forgetting-Based Multi-Scale Disentanglement for Deepfake Detection AAAI 2025
MultiBooth: Towards Generating All Your Concepts in an Image from Text AAAI 2025
An Open-Ended Learning Framework for Opponent Modeling AAAI 2025
FPEM: Face Prior Enhanced Facial Attractiveness Prediction for Live Videos with Face Retouching ICCV 2025
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal ICLR 2025
Dynamic Dictionary Learning for Remote Sensing Image Segmentation ICCV 2025
Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection WACV 2025
Enhanced Equilibria-Solving via Private Information Pre-Branch Structure in Adversarial Team Games UAI 2025
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model ICLR 2025
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios ICLR 2025
Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning ICML 2025
Dynamic Discounted Counterfactual Regret Minimization ICLR 2024
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation ICLR 2024
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects ICLR 2024
Towards Offline Opponent Modeling with In-context Learning ICLR 2024
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network NIPS 2024
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance NIPS 2024
Evaluating Copyright Takedown Methods for Language Models NIPS 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing AAAI 2024
A Course Shared Task on Evaluating LLM Output for Clinical Questions ACL 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit NIPS 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models CVPR 2024
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data ECCV 2024
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models ECCV 2024
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment ECCV 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation ICML 2024
Opponent Modeling with In-context Search NIPS 2024
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation ICLR 2024
Conditional Image-to-Video Generation With Latent Flow Diffusion Models CVPR 2023
Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning CVPR 2023
An efficient encoder-decoder architecture with top-down attention for speech separation ICLR 2023
A Neural State-Space Modeling Approach to Efficient Speech Separation INTERSPEECH 2023
Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion ICCV 2023
Few-Shot Video Classification via Representation Fusion and Promotion Learning ICCV 2023
Personalized Semantics Excitation for Federated Image Classification ICCV 2023
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model INTERSPEECH 2023
PruMUX: Augmenting Data Multiplexing with Model Compression ACL 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning NIPS 2023
Adversarial Alignment for Source Free Object Detection AAAI 2023
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping NIPS 2023
Privacy Implications of Retrieval-Based Language Models EMNLP 2023
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction CVPR 2023
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems INTERSPEECH 2022
Recovering Private Text in Federated Learning of Language Models NIPS 2022
Multiagent Q-learning with Sub-Team Coordination NIPS 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
Fast Few-shot Debugging for NLU Test Suites ACL 2022
StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis CVPR 2022
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game ICLR 2022
Greedy when Sure and Conservative when Uncertain about the Opponents ICML 2022
Data Augmentation Using McAdams-Coefficient-Based Speaker Anonymization for Fake Audio Detection INTERSPEECH 2022
Automatic Mean Opinion Score Estimation with Temporal Modulation Features on Gammatone Filterbank for Speech Assessment INTERSPEECH 2022
Exploration via State influence Modeling AAAI 2021
Video Matting via Consistency-Regularized Graph Neural Networks ICCV 2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network NIPS 2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning NIPS 2021
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network CVPR 2021
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation ICCV 2021
Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
TextHide: Tackling Data Privacy in Language Understanding Tasks EMNLP 2020
Segment-Level Effects of Gender, Nationality and Emotion Information on Text-Independent Speaker Verification INTERSPEECH 2020
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes AISTATS 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020
Learning Relaxed Belady for Content Distribution Network Caching NSDI 2020
Adversarial Feature Hallucination Networks for Few-Shot Learning CVPR 2020
Cross-Domain Document Object Detection: Benchmark Suite and Method CVPR 2020
Visual Semantic Reasoning for Image-Text Matching ICCV 2019
Attention Bridging Network for Knowledge Transfer ICCV 2019
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games AAAI 2019
Residual Non-local Attention Networks for Image Restoration ICLR 2019
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective ICCV 2019
Payoff Control in the Iterated Prisoner's Dilemma IJCAI 2018
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation CVPR 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks ECCV 2018
Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration CVPR 2015