← Authors

Wei Hu

98 papers · 2008–2026 · 18 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (18) πŸƒ Academic Marathon (17) πŸ”¬ Deep Specialist (18) πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (351) ❓ The Questioner (4) ⚑ Prolific Year (21) πŸ’Ž Century Club (94) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter

Conferences

NIPS (12) ICLR (12) AAAI (12) ICML (10) EMNLP (9) ACL (9) CVPR (8) ECCV (5) ICCV (5) IJCAI (3) AISTATS (2) COLING (2) IJCNLP (2) INTERSPEECH (2) NAACL (2) COLT (1) JMLR (1) UAI (1)

Top co-authors

Zequn Sun (16) Daizong Liu (7) Zhiyuan Li (7) Xiangyu Liu (7) Yuzhong Qu (7) Yi Liu (6) Sanjeev Arora (6) Muhao Chen (5) Qianjiang Hu (5) Fan Zhang (5)

Keywords

knowledge graph (13) entity alignment (10) neural network (8) point cloud (8) representation learning (7) knowledge graph embedding (7) gradient descent (5) continual learning (5) graph neural network (5) large language model (5) relation extraction (4) question answering (4) adversarial attack (4) transfer learning (4) knowledge distillation (4) attention mechanism (3) linear convergence (3) class imbalance (3) self-supervised learning (3) catastrophic forgetting (3)

Papers

Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models AAAI 2026
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute AAAI 2026
Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models AAAI 2026
ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders AAAI 2026
Mixture of LoRA Experts for Continual Information Extraction with LLMs EMNLP 2025
Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model ICLR 2025
Controllable Protein Sequence Generation with LLM Preference Optimization AAAI 2025
ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents ACL 2025
Mitigating Lost-in-Retrieval Problems in Retrieval Augmented Multi-Hop Question Answering ACL 2025
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination JMLR 2025
Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks CVPR 2025
Swing-by Dynamics in Concept Learning and Compositional Generalization ICLR 2025
Avoiding Knowledge Edit Skipping in Multi-hop Question Answering with Guided Decomposition EMNLP 2025
Large Scene Generation with Cube-Absorb Discrete Diffusion ICCV 2025
HyperGCT: A Dynamic Hyper-GNN-Learned Geometric Constraint for 3D Registration ICCV 2025
Knowledge Graph-Guided Retrieval Augmented Generation NAACL 2025
RangeLDM: Fast Realistic LiDAR Point Cloud Generation ECCV 2024
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation ICML 2024
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing CVPR 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content CVPR 2024
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack AAAI 2024
Abrupt Learning in Transformers: A Case Study on Matrix Completion NIPS 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning AAAI 2024
Understanding Surprising Generalization Phenomena in Deep Learning AAAI 2024
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction ACL 2024
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion ACL 2024
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation ACL 2024
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations ICLR 2024
Knowledge Graph Error Detection with Contrastive Confidence Adaption AAAI 2024
KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation NAACL 2024
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization AISTATS 2024
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning NIPS 2024
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data ICLR 2024
Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement INTERSPEECH 2024
E-Paraformer: A Faster and Better Parallel Transformer for Non-autoregressive End-to-End Mandarin Speech Recognition INTERSPEECH 2024
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking ICLR 2024
Echoes of the Past: Boosting Long-tail Recognition via Reflective Learning ECCV 2024
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023
Improving Continual Relation Extraction by Distinguishing Analogous Semantics ACL 2023
Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction ACL 2023
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection CVPR 2023
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings ICML 2023
Enabling Abductive Learning to Exploit Knowledge Graph IJCAI 2023
Continual Event Extraction with Semantic Confusion Rectification EMNLP 2023
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer ICLR 2023
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data ICLR 2023
3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack ICCV 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition ICCV 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity NIPS 2023
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs AAAI 2023
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation NIPS 2022
CMCC: A Comprehensive and Large-Scale Human-Human Dataset for Dialogue Systems EMNLP 2022
State-Aware Adversarial Training for Utterance-Level Dialogue Generation EMNLP 2022
Implicit Relation Linking for Question Answering over Knowledge Graph ACL 2022
Ensemble Semi-supervised Entity Alignment via Cycle-Teaching AAAI 2022
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022
Learning to Focus on the Foreground for Temporal Sentence Grounding COLING 2022
Understanding and Improving Knowledge Graph Embedding for Entity Alignment ICML 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks ECCV 2022
Neural Capture of Animatable 3D Human from Monocular Video ECCV 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation CVPR 2021
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning ICML 2021
Impact of Representation Learning in Linear Bandits ICLR 2021
Knowing the No-match: Entity Alignment with Dangling Cases IJCNLP 2021
Knowing the No-match: Entity Alignment with Dangling Cases ACL 2021
Few-Shot Learning via Learning the Representation, Provably ICLR 2021
When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021
Score-Based Point Cloud Denoising ICCV 2021
Near-Optimal Linear Regression under Distribution Shift ICML 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction EMNLP 2021
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021
Knowledge Association with Hyperbolic Knowledge Graph Embeddings EMNLP 2020
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks NIPS 2020
Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation AAAI 2020
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020
Edge-aware Graph Representation Learning and Reasoning for Face Parsing ECCV 2020
Global-to-Local Neural Networks for Document-Level Relation Extraction EMNLP 2020
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks ICLR 2020
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee ICLR 2020
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs ICML 2019
Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks ICML 2019
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks ICLR 2019
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering IJCNLP 2019
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering EMNLP 2019
Noise-Tolerant Paradigm for Training Face Recognition CNNs CVPR 2019
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity AISTATS 2019
On Exact Computation with an Infinitely Wide Neural Net NIPS 2019
Implicit Regularization in Deep Matrix Factorization NIPS 2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NIPS 2019
Multi-view Knowledge Graph Embedding for Entity Alignment IJCAI 2019
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced NIPS 2018
An Analysis of the t-SNE Algorithm for Data Visualization COLT 2018
Online Improper Learning with an Approximation Oracle NIPS 2018
Bootstrapping Entity Alignment with Knowledge Graph Embedding IJCAI 2018
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NIPS 2017
Combinatorial Multi-Armed Bandit with General Reward Functions NIPS 2016
Modeling Chinese Documents with Topical Word-Character Models COLING 2008