← Authors

Lei Huang

53 papers · 2015–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ† Keyword Champion (6) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ’Ž Century Club (49) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (225)

Conferences

CVPR (11) ACL (9) AAAI (8) NIPS (5) EMNLP (4) ICCV (4) ECCV (3) ICML (3) COLING (2) IJCNLP (2) CORL (1) ICLR (1)

Top co-authors

Xiaocheng Feng (15) Bing Qin (13) Ling Shao (11) Weitao Ma (10) Yi Zhou (8) Yuxuan Gu (8) Li Liu (8) Xiachong Feng (8) Weihong Zhong (8) Fan Zhu (8)

Keywords

large language model (10) batch normalization (6) contrastive learning (5) knowledge distillation (4) hallucination mitigation (3) convolutional neural network (3) self-supervised learning (3) generative adversarial network (3) cross-lingual transfer (3) knowledge graph completion (2) variational inference (2) domain generalization (2) vision-language model (2) inductive learning (2) image generation (2) diffusion model (2) neural network optimization (2) medical imaging (2) model compression (2) stereo matching (2)

Papers

Polysemic Semantic Instance Network for Cross-Modal Hashing AAAI 2026
QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression AAAI 2026
LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning AAAI 2026
ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion AAAI 2026
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models EMNLP 2025
From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems EMNLP 2025
Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clustering EMNLP 2025
Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion AAAI 2025
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
Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning ACL 2025
Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis COLING 2025
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment COLING 2025
Clustering Properties of Self-Supervised Learning ICML 2025
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
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
On the Nonlinearity of Layer Normalization ICML 2024
Modulate Your Spectrum in Self-Supervised Learning ICLR 2024
Advancing Large Language Model Attribution through Self-Improving EMNLP 2024
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization ECCV 2024
MDM: Molecular Diffusion Model for 3D Molecule Generation AAAI 2023
Delving Into the Estimation Shift of Batch Normalization in a Network CVPR 2022
Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 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
Understanding the Failure of Batch Normalization for Transformers in NLP NIPS 2022
Group Whitening: Balancing Learning Efficiency and Representational Capacity CVPR 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification AAAI 2021
Slimmable Generative Adversarial Networks AAAI 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding NIPS 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021
Visual-Textual Attentive Semantic Consistency for Medical Report Generation ICCV 2021
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis ICCV 2021
On the Number of Linear Regions of Convolutional Neural Networks ICML 2020
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs ECCV 2020
Invertible Zero-Shot Recognition Flows ECCV 2020
Controllable Orthogonalization in Training DNNs CVPR 2020
An Investigation Into the Stochasticity of Batch Whitening CVPR 2020
Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019
Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images 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 IJCNLP 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 ACL 2015
Sentence-level Emotion Classification with Label and Context Dependence ACL 2015