Jun Luo

27 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🧭 Keyword Pioneer 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (11)

🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🧬 Topic Evolution 👥 Mega-Team (32) 🏆 Keyword Champion (2) 🗃️ Keyword Collector (146) 💎 Century Club (24) 🔥 Unstoppable (6) ❓ The Questioner (2) ⚡ Prolific Year (8)

Conferences

AAAI (7) ICCV (6) CVPR (4) EMNLP (2) ICLR (2) NIPS (2) CORL (1) IJCAI (1) JMLR (1) UAI (1)

Top co-authors

Xurui Song (5) Mohsen Rohani (4) Shandong Wu (4) Jianye Hao (3) Jun Wang (3) Pascal Poupart (3) Shuo Huai (3) Chen Chen (3) Kun Shao (2) Yangchen Pan (2)

Keywords

autonomous driving (5) reinforcement learning (3) self-supervised learning (2) client personalization (2) multi-agent reinforcement learning (2) image segmentation (2) trajectory prediction (2) distribution shift (2) cooperative game (2) large language model (2) convolutional neural network (2) federated learning (2) domain adaptation (1) variational inference (1) semantic segmentation (1) action recognition (1) adversarial robustness (1) continual learning (1) vision transformer (1) chain-of-thought reasoning (1)

Papers

Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models AAAI 2026 Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving AAAI 2026 Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position AAAI 2026 An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency AAAI 2025 Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images AAAI 2025 Dagger Behind Smile: Fool LLMs with a Happy Ending Story EMNLP 2025 On the Performance Analysis of Momentum Method: A Frequency Domain Perspective ICLR 2025 MaSS13K: A Matting-level Semantic Segmentation Benchmark CVPR 2025 GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping AAAI 2025 Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models ICLR 2025 Corvid: Improving Multimodal Large Language Models Towards Chain-of-Thought Reasoning ICCV 2025 Label Alignment Regularization for Distribution Shift JMLR 2024 FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning ICCV 2023 OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision ICCV 2023 Ask Language Model to Clean Your Noisy Translation Data EMNLP 2023 PGFed: Personalize Each Client's Global Objective for Federated Learning ICCV 2023 Multiagent Q-learning with Sub-Team Coordination NIPS 2022 A Simple Decentralized Cross-Entropy Method NIPS 2022 Adapt to Adaptation: Learning Personalization for Cross-Silo Federated Learning IJCAI 2022 Understanding and mitigating the limitations of prioritized experience replay UAI 2022 Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map CVPR 2021 Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning ICCV 2021 Bifold and Semantic Reasoning for Pedestrian Behavior Prediction ICCV 2021 Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder CVPR 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Adaptive Hierarchical Down-Sampling for Point Cloud Classification CVPR 2020