Lichao Sun

69 papers · 2019–2026 · 16 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🐝 Cross-Pollinator (14) 👥 Mega-Team (71) 🏆 Grand Slam 👑 Triple Crown 🧬 Topic Evolution 🤝 Dynamic Duo (11) 🗃️ Keyword Collector (268) ❓ The Questioner (2) ⚡ Prolific Year (25) 🚀 Conference Pioneer 💎 Century Club (67) 🔥 Unstoppable (7) 📈 Trend Setter

Conferences

NIPS (10) AAAI (9) EMNLP (8) ICLR (8) IJCAI (7) ICML (5) CVPR (4) NAACL (4) ACL (3) ICCV (3) MICCAI (3) AACL (1) COLING (1) ECCV (1) IJCNLP (1) JMLR (1)

Top co-authors

Pan Zhou (11) Yixin Liu (9) Yao Wan (9) Yue Huang (8) Qihui Zhang (7) Xun Chen (7) Kaidi Xu (6) Siyuan Wu (6) Lingjuan Lyu (5) Carl Yang (5)

Research topics

Differential Privacy (4) Privacy (2)

Keywords

large language model (9) graph neural network (7) federated learning (5) adversarial attack (5) knowledge distillation (4) differential privacy (4) backdoor attack (4) reinforcement learning (3) multimodal learning (3) adversarial learning (3) benchmark evaluation (3) adversarial training (3) data augmentation (3) medical image analysis (2) model aggregation (2) representation learning (2) deep learning (2) strategic reasoning (2) privacy preservation (2) natural language processing (2)

Papers

Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions AAAI 2026

3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation AAAI 2026

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025

LLaVA-CoT: Let Vision Language Models Reason Step-by-Step ICCV 2025

FinLLM-B: When Large Language Models Meet Financial Breakout Trading NAACL 2025

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model MICCAI 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 AACL 2025

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding ICLR 2025

LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture EMNLP 2025

Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM EMNLP 2025

DataGen: Unified Synthetic Dataset Generation via Large Language Models ICLR 2025

BenTo: Benchmark Reduction with In-Context Transferability ICLR 2025

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025

EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation IJCNLP 2025

BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models CVPR 2025

TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention ICCV 2025

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction MICCAI 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

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

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

Virtual Context Enhancing Jailbreak Attacks with Special Token Injection EMNLP 2024

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use ICLR 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

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

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL 2024

Scalable Fair Influence Maximization NIPS 2023

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation IJCAI 2023

SEAT: Stable and Explainable Attention AAAI 2023

Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency ICLR 2023

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples AAAI 2023

Transferable Unlearnable Examples ICLR 2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples ICCV 2023

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks IJCAI 2022

SplitFed: When Federated Learning Meets Split Learning AAAI 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022

Membership Inference via Backdooring IJCAI 2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding EMNLP 2022

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022

Subgraph Federated Learning with Missing Neighbor Generation NIPS 2021

Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021

Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021

LDP-FL: Practical Private Aggregation in Federated Learning with Local 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

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks COLING 2020

Private Model Compression via Knowledge Distillation AAAI 2019