← Authors

Gen Li

58 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (88) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (14) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (224) πŸ’Ž Century Club (55) ⚑ Prolific Year (13) πŸ”₯ Unstoppable (9)

Conferences

NIPS (14) ICCV (9) ICML (9) CVPR (7) AAAI (6) ICLR (5) AISTATS (2) COLT (2) ECCV (2) IJCAI (1) JMLR (1)

Top co-authors

Yuxin Chen (14) Yuejie Chi (12) Yuting Wei (11) Xiaolong Ma (8) Yuantao Gu (8) Jie Ji (7) Laura Sevilla-Lara (6) Linke Guo (5) Lu Yin (4) Shiwei Liu (4)

Keywords

sample complexity (10) generative model (7) variance reduction (4) neural network (4) markov decision process (4) image restoration (4) semantic segmentation (4) offline reinforcement learning (3) diffusion model (3) reinforcement learning (3) model compression (3) egocentric vision (3) human-object interaction (2) image super-resolution (2) few-shot learning (2) representation learning (2) video super-resolution (2) transformer architecture (2) feature extraction (2) minimax optimality (2)

Papers

Human-Centric Video Generation via Collaborative Multi-Modal Conditioning AAAI 2026
New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition AAAI 2026
Mask2IV: Interaction-Centric Video Generation via Mask Trajectories AAAI 2026
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation ICCV 2025
Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing ICCV 2025
AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion CVPR 2025
Provable Efficiency of Guidance in Diffusion Models for General Data Distribution ICML 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
Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization ICCV 2025
O(d/T) Convergence Theory for Diffusion Probabilistic Models under Minimal Assumptions JMLR 2025
Towards a mathematical theory for consistency training in diffusion models AISTATS 2025
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions ICCV 2025
Reinforcement Learning with Intrinsically Motivated Feedback Graph for Lost-sales Inventory Control AISTATS 2025
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference ICML 2025
EgoM2P: Egocentric Multimodal Multitask Pretraining 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
WIERT: Web Information Extraction via Render Tree AAAI 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
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning NIPS 2023
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding CVPR 2023
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models ICML 2023
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time NIPS 2023
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer CVPR 2023
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting CVPR 2023
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NIPS 2022
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder ECCV 2022
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos NIPS 2022
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph ICML 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021
Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training AAAI 2020
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NIPS 2020
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NIPS 2020
SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval ICCV 2019
Nonconvex Low-Rank Tensor Completion from Noisy Data NIPS 2019
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation IJCAI 2018
Image Super-Resolution Using Dense Skip Connections ICCV 2017