Lei Ma

43 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)

🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🤝 Dynamic Duo (12) 🏆 Grand Slam 👥 Mega-Team (32) 🧬 Topic Evolution ❓ The Questioner 💎 Century Club (38) ⚡ Prolific Year (5) 🚀 Conference Pioneer 🗃️ Keyword Collector (165) 🔥 Unstoppable (7)

Conferences

AAAI (13) NIPS (6) MICCAI (4) CVPR (3) ECCV (3) ICLR (3) NAACL (3) ACL (2) ICML (2) IJCAI (2) EMNLP (1) ICCV (1)

Top co-authors

Xiaofei Xie (12) Yang Liu (11) Tiejun Huang (9) Felix Juefei-Xu (7) Qing Guo (7) Jianjun Zhao (6) Liwen Hu (5) Derui Zhu (4) Wei Feng (4) Yijia Guo (3)

Research topics

Privacy (1)

Keywords

large language model (6) adversarial attack (5) deep neural network (4) benchmark evaluation (3) adversarial example (3) image restoration (3) neural network (2) zero-shot learning (2) spike camera (2) vision-language model (2) 3d gaussian splatting (2) copyright protection (2) motion estimation (2) object detection (2) motion blur (2) optical flow (2) recurrent neural network (2) optical flow estimation (2) unsupervised clustering (1) point set registration (1)

Papers

From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning AAAI 2026 Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting AAAI 2026 Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting? AAAI 2026 MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents AAAI 2026 EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization AAAI 2026 TestEval: Benchmarking Large Language Models for Test Case Generation NAACL 2025 Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture NAACL 2025 SpikeGS: Reconstruct 3D Scene Captured by a Fast-Moving Bio-Inspired Camera AAAI 2025 CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification AAAI 2025 Internal Activation Revision: Safeguarding Vision Language Models Without Parameter Update AAAI 2025 VisNet: A Human Visual System Inspired Lightweight Dual-Path Network for Medical Images Denoising MICCAI 2025 Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling ACL 2025 A Boundary-aware Cold-Diffusion Model for Electron Microscopy Segmentation MICCAI 2025 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model MICCAI 2025 MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation EMNLP 2025 MindCustomer: Multi-Context Image Generation Blended with Brain Signal ICML 2025 Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization ICLR 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NIPS 2024 Learning from Pattern Completion: Self-supervised Controllable Generation NIPS 2024 Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos NIPS 2024 CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models ACL 2024 Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis CVPR 2024 Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams ECCV 2024 Domain Generalization of 3D Object Detection by Density-Resampling ECCV 2024 LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks ICLR 2024 ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation MICCAI 2024 PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics NAACL 2024 Evading DeepFake Detectors via Adversarial Statistical Consistency CVPR 2023 Neural Episodic Control with State Abstraction ICLR 2023 DeepGemini: Verifying Dependency Fairness for Deep Neural Network AAAI 2023 Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias NIPS 2023 Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera NIPS 2023 Optical Flow Estimation for Spiking Camera CVPR 2022 RNNRepair: Automatic RNN Repair via Model-based Analysis ICML 2021 Learning To Adversarially Blur Visual Object Tracking ICCV 2021 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021 EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining AAAI 2021 Generating Adversarial Examples for Holding Robustness of Source Code Processing Models AAAI 2020 Watch out! Motion is Blurring the Vision of Your Deep Neural Networks NIPS 2020 Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020 SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking ECCV 2020 FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces IJCAI 2020 DiffChaser: Detecting Disagreements for Deep Neural Networks IJCAI 2019