Kai Li

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