Ge Li

VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition ACL 2026 Saber: Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model in Code Generation ACL 2026 Large Language Model Unlearning for Source Code AAAI 2026 CODERL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment ACL 2026 RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization ACL 2026 KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development? ACL 2026 DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt AAAI 2026 Video Spatial Reasoning with Object-Centric 3D Rollout AAAI 2026 Stochasticity-aware No-Reference Point Cloud Quality Assessment IJCAI 2025 DIME: Diffusion-Based Maximum Entropy Reinforcement Learning ICML 2025 TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning ICLR 2025 Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow ICCV 2025 DGTalker: Disentangled Generative Latent Space Learning for Audio-Driven Gaussian Talking Heads ICCV 2025 Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points ACL 2025 Orchestrating the Symphony of Prompt Distribution Learning for Human-Object Interaction Detection AAAI 2025 ContextHOI: Spatial Context Learning for Human-Object Interaction Detection AAAI 2025 Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations AAAI 2025 MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval AAAI 2025 Benchmarking Long-Context Language Models on Long Code Understanding ACL 2025 CodeDPO: Aligning Code Models with Self Generated and Verified Source Code ACL 2025 Rethinking Repetition Problems of LLMs in Code Generation ACL 2025 LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs ACL 2025 IRIS: An Immersive Robot Interaction System CORL 2025 Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models AAAI 2024 Variational Distillation of Diffusion Policies into Mixture of Experts NIPS 2024 Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation NIPS 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NIPS 2024 CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset NIPS 2024 MaIL: Improving Imitation Learning with Selective State Space Models CORL 2024 Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation AAAI 2024 HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position ACL 2024 CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024 DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories ACL 2024 RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter ACL 2024 PACE: Improving Prompt with Actor-Critic Editing for Large Language Model ACL 2024 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024 Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs COLING 2024 BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning CVPR 2024 Learning Background Prompts to Discover Implicit Knowledge for Open Vocabulary Object Detection CVPR 2024 ST-LLM: Large Language Models Are Effective Temporal Learners ECCV 2024 Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning ICLR 2024 Causality Compensated Attention for Contextual Biased Visual Recognition ICLR 2023 Self-Edit: Fault-Aware Code Editor for Code Generation ACL 2023 Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring CVPR 2023 AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing ICCV 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023 Null-Space Diffusion Sampling for Zero-Shot Point Cloud Completion IJCAI 2023 Frequency-Aware Self-Supervised Monocular Depth Estimation WACV 2023 Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem WACV 2023 Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering CVPR 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising AAAI 2022 Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively NIPS 2022 Neural Texture Extraction and Distribution for Controllable Person Image Synthesis CVPR 2022 Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation CVPR 2022 Contextual Debiasing for Visual Recognition With Causal Mechanisms CVPR 2022 Learning to Share in Networked Multi-Agent Reinforcement Learning NIPS 2022 SKFlow: Learning Optical Flow with Super Kernels NIPS 2022 Salient Object Detection for Point Clouds ECCV 2022 Rethinking Positional Encoding in Tree Transformer for Code Representation EMNLP 2022 OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression AAAI 2022 SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains AAAI 2021 PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering ICCV 2021 Structure-Transformed Texture-Enhanced Network for Person Image Synthesis ICCV 2021 Integrating Tree Path in Transformer for Code Representation NIPS 2021 Specializing Versatile Skill Libraries using Local Mixture of Experts CORL 2021 Region Focus Network for Joint Optic Disc and Cup Segmentation AAAI 2020 Deep Image Spatial Transformation for Person Image Generation CVPR 2020 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 NLocalSAT: Boosting Local Search with Solution Prediction IJCAI 2020 AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism ICCV 2019 ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network IJCAI 2019 StructureFlow: Image Inpainting via Structure-Aware Appearance Flow ICCV 2019 A Grammar-Based Structural CNN Decoder for Code Generation AAAI 2019 Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection CVPR 2019 Code Generation as a Dual Task of Code Summarization NIPS 2019 Multi-mapping Image-to-Image Translation via Learning Disentanglement NIPS 2019 Summarizing Source Code with Transferred API Knowledge IJCAI 2018 Compressing Neural Language Models by Sparse Word Representations ACL 2016 Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation COLING 2016 How Transferable are Neural Networks in NLP Applications? EMNLP 2016 Natural Language Inference by Tree-Based Convolution and Heuristic Matching ACL 2016 Improved relation classification by deep recurrent neural networks with data augmentation COLING 2016 Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths EMNLP 2015 A Comparative Study on Regularization Strategies for Embedding-based Neural Networks EMNLP 2015 Discriminative Neural Sentence Modeling by Tree-Based Convolution EMNLP 2015