Lei Wu

30 papers · 2009–2026 · 12 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🏃 Academic Marathon (16) 🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (7)

🏃 Academic Marathon (16) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🏆 Keyword Champion 👥 Mega-Team (22) 🔥 Unstoppable (5) ⚡ Prolific Year (6) 💎 Century Club (27) ❓ The Questioner 📈 Trend Setter 🗃️ Keyword Collector (126)

Conferences

NIPS (7) ICML (5) AAAI (3) CVPR (3) IJCAI (3) AISTATS (2) EMNLP (2) ACL (1) ACML (1) JMLR (1) MICCAI (1) WACV (1)

Top co-authors

Mingze Wang (5) Weinan E (3) Zhanxing Zhu (2) Chao Ma (2) Ting Liu (2) Bin Guo (2) Jiajun Bu (2) Shuai Ren (2) Xiangxu Meng (2) Yina Xie (2)

Keywords

stochastic gradient descent (5) neural network optimization (4) implicit regularization (3) zero-shot learning (2) learning rate (2) flat minima (2) adversarial attack (2) activation function (2) neural network (2) dynamical stability (2) multi-agent reinforcement learning (1) image restoration (1) feature extraction (1) visual perception (1) multi-task learning (1) learning theory (1) model quantization (1) metric learning (1) semantic analysis (1) representation learning (1)

Papers

Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification AAAI 2026 SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification ACL 2026 Backdooring Rationalization AAAI 2026 Stimulate the Critical Thinking of LLMs via Debiasing Discussion EMNLP 2025 Analyzing the Role of Permutation Invariance in Linear Mode Connectivity AISTATS 2025 BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025 SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity CVPR 2025 The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training ICML 2025 MoE-SAM: Enhancing SAM for Medical Image Segmentation with Mixture-of-Experts MICCAI 2025 Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling ICML 2024 Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent NIPS 2024 DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction WACV 2024 Improving Generalization and Convergence by Enhancing Implicit Regularization NIPS 2024 Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation EMNLP 2024 Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition ICML 2024 RZCR: Zero-shot Character Recognition via Radical-based Reasoning IJCAI 2023 Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks NIPS 2023 Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Proximal Policy Optimization IJCAI 2023 The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent ICML 2023 Compositional Zero-Shot Artistic Font Synthesis IJCAI 2023 Learning a Single Neuron for Non-monotonic Activation Functions AISTATS 2022 The alignment property of SGD noise and how it helps select flat minima: A stability analysis NIPS 2022 A spectral-based analysis of the separation between two-layer neural networks and linear methods JMLR 2022 Multi-Question Learning for Visual Question Answering AAAI 2020 Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks ACML 2020 Global Convergence of Gradient Descent for Deep Linear Residual Networks NIPS 2019 The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects ICML 2019 How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective NIPS 2018 SOM: Semantic Obviousness Metric for Image Quality Assessment CVPR 2015 Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering NIPS 2009