Gen Li

Human-Centric Video Generation via Collaborative Multi-Modal Conditioning AAAI 2026 Mask2IV: Interaction-Centric Video Generation via Mask Trajectories AAAI 2026 FastV-RAG: Towards Fast and Fine-Grained Video QA with Retrieval-Augmented Generation ACL 2026 New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition AAAI 2026 Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing ICCV 2025 Dataflow-Guided Neuro-Symbolic Language Models for Type Inference ICML 2025 Provable Efficiency of Guidance in Diffusion Models for General Data Distribution ICML 2025 AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion CVPR 2025 DartControl: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control ICLR 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions ICLR 2025 Improved Convergence Rate for Diffusion Probabilistic Models ICLR 2025 Principles of Visual Tokens for Efficient Video Understanding ICCV 2025 Phantom: Subject-Consistent Video Generation via Cross-Modal Alignment ICCV 2025 Towards a mathematical theory for consistency training in diffusion models AISTATS 2025 Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control AISTATS 2025 O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025 Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization ICCV 2025 VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions ICCV 2025 EgoM2P: Egocentric Multimodal Multitask Pretraining ICCV 2025 Learning Precise Affordances from Egocentric Videos for Robotic Manipulation ICCV 2025 Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design ECCV 2024 A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training NIPS 2024 Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems NIPS 2024 Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models NIPS 2024 Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal AAAI 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 EgoGen: An Egocentric Synthetic Data Generator CVPR 2024 One-Shot Open Affordance Learning with Foundation Models CVPR 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ICLR 2024 NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization ICLR 2024 Advancing Dynamic Sparse Training by Exploring Optimization Opportunities ICML 2024 Accelerating Convergence of Score-Based Diffusion Models, Provably ICML 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024 LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding CVPR 2023 Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting CVPR 2023 WIERT: Web Information Extraction via Render Tree AAAI 2023 Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time NIPS 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NIPS 2023 Dynamic Sparsity Is Channel-Level Sparsity Learner NIPS 2023 DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models ICML 2023 Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning NIPS 2023 OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer CVPR 2023 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NIPS 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos NIPS 2022 VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder ECCV 2022 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph ICML 2021 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NIPS 2020 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NIPS 2020 Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training AAAI 2020 Nonconvex Low-Rank Tensor Completion from Noisy Data NIPS 2019 SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval ICCV 2019 MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation IJCAI 2018 Image Super-Resolution Using Dense Skip Connections ICCV 2017