Ling Li

DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection CVPR 2026 Efficient Diffusion Planning with Temporal Diffusion AAAI 2026 QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation AAAI 2026 Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025 Equivalence is All: A Unified View for Self-supervised Graph Learning ICML 2025 MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design NAACL 2025 Multi-View 3D Human Pose Estimation with Weakly Synchronized Images AAAI 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness ICML 2025 QiMeng-Attention: SOTA Attention Operator is generated by SOTA Attention Algorithm ACL 2025 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models AAAI 2025 QiMeng-TensorOp: One-Line Prompt is Enough for High-Performance Tensor Operator Generation with Hardware Primitives IJCAI 2025 QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach OSDI 2025 SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection CVPR 2025 AutoOS: Make Your OS More Powerful by Exploiting Large Language Models ICML 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection NeurIPS 2024 GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model ICML 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024 Misaligned 3D Texture Optimization in MIS Utilizing Generative Framework MICCAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024 Prompt-based Visual Alignment for Zero-shot Policy Transfer ICML 2024 ALL-E: Aesthetics-guided Low-light Image Enhancement IJCAI 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning NeurIPS 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning NeurIPS 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression NeurIPS 2023 GALOPA: Graph Transport Learning with Optimal Plan Alignment NeurIPS 2023 Learning Domain-Aware Detection Head with Prompt Tuning NeurIPS 2023 BabelTower: Learning to Auto-parallelized Program Translation ICML 2022 Causality-driven Hierarchical Structure Discovery for Reinforcement Learning NeurIPS 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 Semantically Contrastive Learning for Low-Light Image Enhancement AAAI 2022 Support Vector Machinery for Infinite Ensemble Learning JMLR 2008 Ordinal Regression by Extended Binary Classification NeurIPS 2006