Lichao Sun

Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions AAAI 2026 TTT-UNet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation MIDL 2026 RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows MIDL 2026 SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator ACL 2026 3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation AAAI 2026 SAMed-2: Selective Memory Enhanced Medical Segment Anything Model MICCAI 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation AACL 2025 Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025 BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025 Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM EMNLP 2025 LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture EMNLP 2025 LLaVA-CoT: Let Vision Language Models Reason Step-by-Step ICCV 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention ICCV 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025 BenTo: Benchmark Reduction with In-Context Transferability ICLR 2025 DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025 GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025 XAttnMark: Learning Robust Audio Watermarking with Cross-Attention ICML 2025 EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation IJCNLP 2025 FinLLM-B: When Large Language Models Meet Financial Breakout Trading NAACL 2025 Virtual Context Enhancing Jailbreak Attacks with Special Token Injection EMNLP 2024 Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World CVPR 2024 MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction MICCAI 2024 EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models ECCV 2024 1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024 SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding EMNLP 2024 CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024 PyGOD: A Python Library for Graph Outlier Detection JMLR 2024 Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting MICCAI 2024 ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models NAACL 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 2024 LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024 MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark ICML 2024 Improving Interpretation Faithfulness for Vision Transformers ICML 2024 In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024 GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations NIPS 2024 Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models NIPS 2024 Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling NIPS 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks AAAI 2024 AlignBench: Benchmarking Chinese Alignment of Large Language Models ACL 2024 Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples AAAI 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023 RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation IJCAI 2023 Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023 Transferable Unlearnable Examples ICLR 2023 SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023 SEAT: Stable and Explainable Attention AAAI 2023 Scalable Fair Influence Maximization NIPS 2023 Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding EMNLP 2022 Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022 Membership Inference via Backdooring IJCAI 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022 SplitFed: When Federated Learning Meets Split Learning AAAI 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022 LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 Subgraph Federated Learning with Missing Neighbor Generation NIPS 2021 Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks COLING 2020 Private Model Compression via Knowledge Distillation AAAI 2019