Lei Huang

Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play ACL 2026 LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning AAAI 2026 Polysemic Semantic Instance Network for Cross-Modal Hashing AAAI 2026 ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026 QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026 Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression ACL 2026 Fine-Mem: Fine-Grained Feedback Alignment for Long-Horizon Memory Management ACL 2026 One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit ACL 2025 Length Controlled Generation for Black-box LLMs ACL 2025 Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization ACL 2025 CC-Tuning: A Cross-Lingual Connection Mechanism for Improving Joint Multilingual Supervised Fine-Tuning ACL 2025 Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis COLING 2025 Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025 SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment COLING 2025 From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems EMNLP 2025 Clustering Properties of Self-Supervised Learning ICML 2025 Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025 Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models EMNLP 2025 Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering EMNLP 2025 CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization ECCV 2024 Modulate Your Spectrum in Self-Supervised Learning ICLR 2024 VIRL: Self-Supervised Visual Graph Inverse Reinforcement Learning CORL 2024 Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models ACL 2024 Learning Fine-Grained Grounded Citations for Attributed Large Language Models ACL 2024 A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis NIPS 2024 Discrete Modeling via Boundary Conditional Diffusion Processes NIPS 2024 Robust Synthetic-to-Real Transfer for Stereo Matching CVPR 2024 On the Nonlinearity of Layer Normalization ICML 2024 Advancing Large Language Model Attribution through Self-Improving EMNLP 2024 MDM: Molecular Diffusion Model for 3D Molecule Generation AAAI 2023 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022 Understanding the Failure of Batch Normalization for Transformers in NLP NIPS 2022 Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022 An Investigation into Whitening Loss for Self-supervised Learning NIPS 2022 Delving Into the Estimation Shift of Batch Normalization in a Network CVPR 2022 Visual-Textual Attentive Semantic Consistency for Medical Report Generation ICCV 2021 Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021 Slimmable Generative Adversarial Networks AAAI 2021 Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021 Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding NIPS 2021 CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis ICCV 2021 Controllable Orthogonalization in Training DNNs CVPR 2020 Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs ECCV 2020 On the Number of Linear Regions of Convolutional Neural Networks ICML 2020 Invertible Zero-Shot Recognition Flows ECCV 2020 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images CVPR 2019 Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019 Decorrelated Batch Normalization CVPR 2018 Centered Weight Normalization in Accelerating Training of Deep Neural Networks ICCV 2017 Semi-Stacking for Semi-supervised Sentiment Classification ACL 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search ICCV 2015 Sentence-level Emotion Classification with Label and Context Dependence IJCNLP 2015 Semi-Stacking for Semi-supervised Sentiment Classification IJCNLP 2015 Sentence-level Emotion Classification with Label and Context Dependence ACL 2015