Lichao Sun

353 papers A* 61A 11B 3C 1Misc 1Journal 243Unranked 33
YearRankTypeTitle / Venue / Authors
2026 A* conf
3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation.
AAAI
Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2026 J jnl
Are Large Vision-Language Models Robust to Adversarial Visual Transformations?
IEEE Trans. Inf. Forensics Secur.
Daizong Liu, Xiaowen Cai, Pan Zhou, Xiaoye Qu, Lichao Sun, Wei Hu
2026 J jnl
Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design.
CoRR
Kangyu Zheng, Kai Zhang, Jiale Tan, Xuehan Chen, Yingzhou Lu, Zaixi Zhang, Lichao Sun, Marinka Zitnik, Tianfan Fu, Zhiding Liang
2026 J jnl
Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design.
Trans. Mach. Learn. Res.
Kangyu Zheng, Kai Zhang, Jiale Tan, Xuehan Chen, Yingzhou Lu, Zaixi Zhang, Lichao Sun, Marinka Zitnik, Tianfan Fu, Zhiding Liang
2026 J jnl
Can MLLMs Read Students' Minds? Unpacking Multimodal Error Analysis in Handwritten Math.
CoRR
Dingjie Song, Tianlong Xu, Yifan Zhang, Hang Li, Zhiling Yan, Xing Fan, Haoyang Li, Lichao Sun, Qingsong Wen
2026 J jnl
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era.
CoRR
Zhengqing Yuan, Kaiwen Shi, Zheyuan Zhang, Lichao Sun, Nitesh V. Chawla, Yanfang Ye
2026 J jnl
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models.
CoRR
Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He
2026 J jnl
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach.
ACM Trans. Softw. Eng. Methodol.
Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun
2026 J jnl
Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing.
CoRR
Hanchi Sun, Yixin Liu, Yonghui Wu, Lichao Sun
2026 J jnl
IDER: IDempotent Experience Replay for Reliable Continual Learning.
CoRR
Zhanwang Liu, Yuting Li, Haoyuan Gao, Yexin Li, Linghe Kong, Lichao Sun, Weiran Huang
2026 J jnl
Instructed Diffuser With Temporal Condition Guidance for Offline Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2026 J jnl
LiveMedBench: A Contamination-Free Medical Benchmark for LLMs with Automated Rubric Evaluation.
CoRR
Zhiling Yan, Dingjie Song, Zhe Fang, Yisheng Ji, Xiang Li, Quanzheng Li, Lichao Sun
2026 J jnl
MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine.
CoRR
Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu
2026 J jnl
NavTrust: Benchmarking Trustworthiness for Embodied Navigation.
CoRR
Huaide Jiang, Yash Chaudhary, Yuping Wang, Zehao Wang, Raghav Sharma, Manan Mehta, Yang Zhou, Lichao Sun, Zhiwen Fan, Zhengzhong Tu, Jiachen Li
2026 J jnl
One-Step Flow Policy: Self-Distillation for Fast Visuomotor Policies.
CoRR
Shaolong Li, Lichao Sun, Yongchao Chen
2026 J jnl
RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty.
CoRR
Ziqian Zhang, Xingjian Hu, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun
2026 — conf
Rethinking and Red-Teaming Protective Perturbation in Personalized Diffusion Models.
KDD (1)
Yixin Liu, Ruoxi Chen, Xun Chen, Lichao Sun
2026 J jnl
Towards a Medical AI Scientist.
CoRR
Hongtao Wu, Boyun Zheng, Dingjie Song, Yu Jiang, Jianfeng Gao, Lei Xing, Lichao Sun, Yixuan Yuan
2026 A* conf
Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions.
AAAI
Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2025 J jnl
3D4D: An Interactive, Editable, 4D World Model via 3D Video Generation.
CoRR
Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
2025 J jnl
A Survey of AI Scientists.
CoRR
Guiyao Tie, Pan Zhou, Lichao Sun
2025 J jnl
A Survey of AI-Generated Content (AIGC).
ACM Comput. Surv.
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2025 J jnl
A Survey on Post-training of Large Language Models.
CoRR
Guiyao Tie, Zeli Zhao, Dingjie Song, Fuyang Wei, Rong Zhou, Yurou Dai, Wen Yin, Zhejian Yang, Jiangyue Yan, Yao Su, Zhenhan Dai, Yifeng Xie, Yihan Cao, Lichao Sun, Pan Zhou, Lifang He, Hechang Chen, Yu Zhang, Qingsong Wen, Tianming Liu, Neil Zhenqiang Gong, Jiliang Tang, Caiming Xiong, Heng Ji, Philip S. Yu, Jianfeng Gao
2025 J jnl
A communication-efficient federated learning algorithm to assess racial disparities in post-transplantation survival time.
J. Am. Medical Informatics Assoc.
Yudong Wang, Dazheng Zhang, Jiayi Tong, Xing He, Liang Li, Lichao Sun, Ashutosh M. Shukla, Jiang Bian, David A. Asch, Yong Chen
2025 J jnl
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT.
Int. J. Mach. Learn. Cybern.
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2025 J jnl
Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start.
CoRR
Lai Wei, Yuting Li, Kaipeng Zheng, Chen Wang, Yue Wang, Linghe Kong, Lichao Sun, Weiran Huang
2025 J jnl
Agentic AutoSurvey: Let LLMs Survey LLMs.
CoRR
Yixin Liu, Yonghui Wu, Denghui Zhang, Lichao Sun
2025 J jnl
Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents.
CoRR
Zhejian Yang, Yongchao Chen, Xueyang Zhou, Jiangyue Yan, Dingjie Song, Yinuo Liu, Yuting Li, Yu Zhang, Pan Zhou, Hechang Chen, Lichao Sun
2025 J jnl
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Sili Huang, Zhejian Yang, Shengchao Hu, Li Shen, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
AugGPT: Leveraging ChatGPT for Text Data Augmentation.
IEEE Trans. Big Data
Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Lichao Sun, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li
2025 J jnl
Automating Safety Enhancement for LLM-based Agents with Synthetic Risk Scenarios.
CoRR
Xueyang Zhou, Weidong Wang, Lin Lu, Jiawen Shi, Guiyao Tie, Yongtian Xu, Lixing Chen, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025 J jnl
BLURR: A Boosted Low-Resource Inference for Vision-Language-Action Models.
CoRR
Xiaoyu Ma, Zhengqing Yuan, Zheyuan Zhang, Kaiwen Shi, Lichao Sun, Yanfang Ye
2025 A* conf
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models.
CVPR
Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025 J jnl
BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models.
CoRR
Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025 J jnl
BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization.
CoRR
Xueyang Zhou, Guiyao Tie, Guowen Zhang, Hechang Wang, Pan Zhou, Lichao Sun
2025 A* conf
BenTo: Benchmark Reduction with In-Context Transferability.
ICLR
Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou
2025 A* conf
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.
ICLR
Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2025 J jnl
Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO.
IEEE Trans. Neural Networks Learn. Syst.
Sili Huang, Hechang Chen, Haiyin Piao, Zhixiao Sun, Yi Chang, Lichao Sun, Bo Yang
2025 — conf
Both Text and Images Leaked! A Systematic Analysis of Data Contamination in Multimodal LLM.
EMNLP (Findings)
Dingjie Song, Sicheng Lai, Mingxuan Wang, Shunian Chen, Lichao Sun, Benyou Wang
2025 J jnl
Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs.
CoRR
Guiyao Tie, Zenghui Yuan, Zeli Zhao, Chaoran Hu, Tianhe Gu, Ruihang Zhang, Sizhe Zhang, Junran Wu, Xiaoyue Tu, Ming Jin, Qingsong Wen, Lixing Chen, Pan Zhou, Lichao Sun
2025 J jnl
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal.
IEEE Trans. Neural Networks Learn. Syst.
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2025 J jnl
Could AI Trace and Explain the Origins of AI-Generated Images and Text?
CoRR
Hongchao Fang, Yixin Liu, Jiangshu Du, Can Qin, Ran Xu, Feng Liu, Lichao Sun, Dongwon Lee, Lifu Huang, Wenpeng Yin
2025 J jnl
CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries.
CoRR
Shudong Liu, Yiqiao Jin, Cheng Li, Derek F. Wong, Qingsong Wen, Lichao Sun, Haipeng Chen, Xing Xie, Jindong Wang
2025 A* conf
DataGen: Unified Synthetic Dataset Generation via Large Language Models.
ICLR
Yue Huang, Siyuan Wu, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Chaowei Xiao, Jianfeng Gao, Lichao Sun, Xiangliang Zhang
2025 J jnl
Decision Flow Policy Optimization.
CoRR
Jifeng Hu, Sili Huang, Siyuan Guo, Zhaogeng Liu, Li Shen, Lichao Sun, Hechang Chen, Yi Chang, Dacheng Tao
2025 J jnl
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols.
CoRR
Longzhu He, Chaozhuo Li, Peng Tang, Lichao Sun, Sen Su, Philip S. Yu
2025 — conf
EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation.
IJCNLP-AACL (Short Papers)
Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min
2025 J jnl
EditGRPO: Reinforcement Learning with Post -Rollout Edits for Clinically Accurate Chest X-Ray Report Generation.
CoRR
Kai Zhang, Christopher Malon, Lichao Sun, Martin Renqiang Min
2025 J jnl
EfficientLLM: Efficiency in Large Language Models.
CoRR
Zhengqing Yuan, Weixiang Sun, Yixin Liu, Huichi Zhou, Rong Zhou, Yiyang Li, Zheyuan Zhang, Wei Song, Yue Huang, Haolong Jia, Keerthiram Murugesan, Yu Wang, Lifang He, Jianfeng Gao, Lichao Sun, Yanfang Ye
2025 — conf
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
AAAI Spring Symposia
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 J jnl
End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework.
CoRR
Yao Su, Keqi Han, Mingjie Zeng, Lichao Sun, Liang Zhan, Carl Yang, Lifang He, Xiangnan Kong
2025 — conf
FinLLM-B: When Large Language Models Meet Financial Breakout Trading.
NAACL (Industry Track)
Kang Zhang, Osamu Yoshie, Lichao Sun, Weiran Huang
2025 J jnl
From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education.
CoRR
Yifan Zhang, Hang Li, Dingjie Song, Lichao Sun, Tianlong Xu, Qingsong Wen
2025 A* conf
GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding.
ICLR
Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Huichi Zhou, Qihui Zhang, Zhigang He, Yilin Bai, Chujie Gao, Liuyi Chen, Yiqiang Li, Chenlong Wang, Yue Yu, Tianshuo Zhou, Zhen Li, Yi Gui, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun
2025 J jnl
Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments.
IEEE Trans. Ind. Informatics
Sili Huang, Jifeng Hu, Hechang Chen, Peng Cui, Haiyin Piao, Lichao Sun, Bo Yang
2025 J jnl
Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR
Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025 J jnl
Graph Foundation Models: Concepts, Opportunities and Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2025 A* conf
Harmonycloak: Making Music Unlearnable for Generative AI.
SP
Syed Irfan Ali Meerza, Lichao Sun, Jian Liu
2025 J jnl
Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction.
CoRR
Chengzhi Xu, Yuyang Wang, Lai Wei, Lichao Sun, Weiran Huang
2025 A conf
Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings.
CIKM
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang
2025 J jnl
LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization.
CoRR
Xueyang Zhou, Yangming Xu, Guiyao Tie, Yongchao Chen, Guowen Zhang, Duanfeng Chu, Pan Zhou, Lichao Sun
2025 J jnl
Large Reasoning Models in Agent Scenarios: Exploring the Necessity of Reasoning Capabilities.
CoRR
Xueyang Zhou, Guiyao Tie, Guowen Zhang, Weidong Wang, Zhigang Zuo, Di Wu, Duanfeng Chu, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2025 — conf
LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via a Hybrid Architecture.
EMNLP (Findings)
Xidong Wang, Dingjie Song, Shunian Chen, Junying Chen, Zhenyang Cai, Chen Zhang, Lichao Sun, Benyou Wang
2025 J jnl
MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks.
CoRR
Guiyao Tie, Xueyang Zhou, Tianhe Gu, Ruihang Zhang, Chaoran Hu, Sizhe Zhang, Mengqu Sun, Yan Zhang, Pan Zhou, Lichao Sun
2025 J jnl
MVSF-AB: accurate antibody-antigen binding affinity prediction via multi-view sequence feature learning.
Bioinform.
Minghui Li, Yao Shi, Shengqing Hu, Shengshan Hu, Peijin Guo, Wei Wan, Leo Yu Zhang, Shirui Pan, Jizhou Li, Lichao Sun, Xiaoli Lan
2025 — conf
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models.
ACL (1)
Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
2025 J jnl
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models.
CoRR
Zenghui Yuan, Yangming Xu, Jiawen Shi, Pan Zhou, Lichao Sun
2025 J jnl
MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming.
Proc. ACM Hum. Comput. Interact.
Yuan Li, Lichao Sun, Yixuan Zhang
2025 J jnl
Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?
CoRR
Chenrui Fan, Ming Li, Lichao Sun, Tianyi Zhou
2025 J jnl
NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes.
CoRR
Tianyang Xu, Haojie Zheng, Chengze li, Haoxiang Chen, Yixin Liu, Ruoxi Chen, Lichao Sun
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation.
CoRR
Yinuo Liu, Zenghui Yuan, Guiyao Tie, Jiawen Shi, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2025 J jnl
Prompt Injection Attack to Tool Selection in LLM Agents.
CoRR
Jiawen Shi, Zenghui Yuan, Guiyao Tie, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2025 J jnl
RadAgents: Multimodal Agentic Reasoning for Chest X-ray Interpretation with Radiologist-like Workflows.
CoRR
Kai Zhang, Corey D. Barrett, Jangwon Kim, Lichao Sun, Tara Taghavi, Krishnaram Kenthapadi
2025 J jnl
RadFabric: Agentic AI System with Reasoning Capability for Radiology.
CoRR
Wenting Chen, Yi Dong, Zhaojun Ding, Yucheng Shi, Yifan Zhou, Fang Zeng, Yijun Luo, Tianyu Lin, Yihang Su, Yichen Wu, Kai Zhang, Zhen Xiang, Tianming Liu, Ninghao Liu, Lichao Sun, Yixuan Yuan, Xiang Li
2025 Misc conf
Robust Point Cloud Recognition Model Sharing.
SEC
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2025 — conf
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model.
MICCAI (13)
Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun
2025 J jnl
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model.
CoRR
Zhiling Yan, Sifan Song, Dingjie Song, Yiwei Li, Rong Zhou, Weixiang Sun, Zhennong Chen, Sekeun Kim, Hui Ren, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun
2025 J jnl
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning.
CoRR
Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu
2025 J jnl
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning.
J. Biomed. Informatics
Cheng Peng, Kai Zhang, Mengxian Lyu, Hongfang Liu, Lichao Sun, Yonghui Wu
2025 J jnl
Secure Embedding Aggregation for Cross-Silo Federated Representation Learning.
IEEE Trans. Inf. Forensics Secur.
Songze Li, Jiaxiang Tang, Jinbao Zhu, Kai Zhang, Lichao Sun, Changyu Dong
2025 J jnl
The Role of Computing Resources in Publishing Foundation Model Research.
CoRR
Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
2025 J jnl
Towards Stable and Explainable Attention Mechanisms.
IEEE Trans. Knowl. Data Eng.
Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2025 J jnl
TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention.
CoRR
Jinhao Duan, Fei Kong, Hao Cheng, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2025 J jnl
Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO.
CoRR
Lai Wei, Yuting Li, Chen Wang, Yue Wang, Linghe Kong, Weiran Huang, Lichao Sun
2025 J jnl
Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning.
CoRR
Yuting Li, Lai Wei, Kaipeng Zheng, Jingyuan Huang, Linghe Kong, Lichao Sun, Weiran Huang
2025 A* conf
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention.
ICML
Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli
2025 J jnl
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention.
CoRR
Yixin Liu, Lie Lu, Jihui Jin, Lichao Sun, Andrea Fanelli
2024 J jnl
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
CoRR
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024 A* conf
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?
EMNLP
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
2024 A* conf
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.
CVPR
Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2024 — conf
Adapting Large Language Model for Cross-Subject Semantic Decoding from Video-Stimulated fMRI.
ECCV Workshops (14)
Ruizhe Zheng, Lichao Sun
2024 — conf
AlignBench: Benchmarking Chinese Alignment of Large Language Models.
ACL (1)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2024 J jnl
BenTo: Benchmark Task Reduction with In-Context Transferability.
CoRR
Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou
2024 J jnl
Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.
CoRR
Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao
2024 J jnl
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos.
CoRR
Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun
2024 J jnl
Bora: Biomedical Generalist Video Generation Model.
CoRR
Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
2024 J jnl
Both Text and Images Leaked! A Systematic Analysis of Multimodal LLM Data Contamination.
CoRR
Dingjie Song, Sicheng Lai, Shunian Chen, Lichao Sun, Benyou Wang
2024 J jnl
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement.
IEEE Trans. Artif. Intell.
Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang
2024 — conf
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code.
EMNLP (Findings)
Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun
2024 J jnl
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code.
CoRR
Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun
2024 — conf
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
MICCAI (2)
Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li
2024 J jnl
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
CoRR
Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li
2024 J jnl
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.
CoRR
Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao
2024 J jnl
Decentralized Federated Learning: A Survey and Perspective.
IEEE Internet Things J.
Liangqi Yuan, Ziran Wang, Lichao Sun, Philip S. Yu, Christopher G. Brinton
2024 A* conf
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
NeurIPS
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling.
CoRR
Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
2024 A conf
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.
SDM
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024 J jnl
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning.
CoRR
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
2024 J jnl
DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models.
SIGKDD Explor.
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Yue Xing, Jiliang Tang
2024 J jnl
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach.
CoRR
Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Pan Zhou, Hai Jin, Lichao Sun
2024 — conf
EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.
ECCV (63)
Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun
2024 J jnl
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective.
CoRR
Yixin Liu, Arielle Carr, Lichao Sun
2024 J jnl
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc.
Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen
2024 J jnl
Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR
Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
2024 A conf
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization.
ACSAC
Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024 J jnl
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization.
CoRR
Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024 J jnl
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation.
IEEE Trans. Computers
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
2024 A* conf
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.
KDD
Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He
2024 A* conf
Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds.
ACM Multimedia
Xiaowen Cai, Yunbo Tao, Daizong Liu, Pan Zhou, Xiaoye Qu, Jianfeng Dong, Keke Tang, Lichao Sun
2024 — conf
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire.
WWW (Companion Volume)
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
2024 A* conf
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations.
NeurIPS
Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024 J jnl
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.
CoRR
Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024 J jnl
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents.
CoRR
Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun
2024 J jnl
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks.
IEEE Trans. Neural Networks Learn. Syst.
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
2024 A* conf
HonestLLM: Toward an Honest and Helpful Large Language Model.
NeurIPS
Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang
2024 J jnl
I Think, Therefore I am: Awareness in Large Language Models.
CoRR
Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun
2024 A* conf
Improving Interpretation Faithfulness for Vision Transformers.
ICML
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2024 A* conf
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.
ICML
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.
CoRR
Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang
2024 J jnl
Investigating and Defending Shortcut Learning in Personalized Diffusion Models.
CoRR
Yixin Liu, Ruoxi Chen, Lichao Sun
2024 — conf
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
NAACL-HLT (Findings)
Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, Lichao Sun
2024 J jnl
LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase.
CoRR
Chujie Gao, Dongping Chen, Qihui Zhang, Yue Huang, Yao Wan, Lichao Sun
2024 J jnl
LLM4Brain: Training a Large Language Model for Brain Video Understanding.
CoRR
Ruizhe Zheng, Lichao Sun
2024 J jnl
LLaVA-CoT: Let Vision Language Models Reason Step-by-Step.
CoRR
Guowei Xu, Peng Jin, Hao Li, Yibing Song, Lichao Sun, Li Yuan
2024 — conf
Lecture-style Tutorial: Towards Graph Foundation Models.
WWW (Companion Volume)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
2024 J jnl
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.
Medical Image Anal.
Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
2024 A* conf
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.
ICML
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun
2024 J jnl
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.
CoRR
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Pan Zhou, Yao Wan, Lichao Sun
2024 J jnl
MLP-KAN: Unifying Deep Representation and Function Learning.
CoRR
Yunhong He, Yifeng Xie, Zhengqing Yuan, Lichao Sun
2024 — conf
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
MICCAI (12)
Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
2024 J jnl
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.
CoRR
Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
2024 J jnl
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking.
CoRR
Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun
2024 A* conf
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.
CVPR
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2024 A* conf
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
ICLR
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2024 J jnl
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework.
CoRR
Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun
2024 J jnl
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input.
CoRR
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang
2024 A* conf
Optimization-based Prompt Injection Attack to LLM-as-a-Judge.
CCS
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024 J jnl
Optimization-based Prompt Injection Attack to LLM-as-a-Judge.
CoRR
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
2024 A* conf
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models.
NeurIPS
Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
2024 A* conf
Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World.
CVPR
Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
2024 J jnl
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World.
CoRR
Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 J jnl
Privacy and Robustness in Federated Learning: Attacks and Defenses.
IEEE Trans. Neural Networks Learn. Syst.
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2024 J jnl
PyGOD: A Python Library for Graph Outlier Detection.
J. Mach. Learn. Res.
Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu
2024 J jnl
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models.
CoRR
Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
2024 — conf
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models.
NAACL-HLT
Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
2024 J jnl
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models.
CoRR
Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu
2024 A* conf
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
AAAI
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
2024 J jnl
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
CoRR
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
2024 J jnl
Self-Cognition in Large Language Models: An Exploratory Study.
CoRR
Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
2024 J jnl
Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations?
CoRR
Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024 J jnl
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces.
CoRR
Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun
2024 J jnl
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
CoRR
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
2024 J jnl
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning.
IEEE Trans. Dependable Secur. Comput.
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
2024 A* conf
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.
EMNLP
Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun
2024 J jnl
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.
CoRR
Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun
2024 A* conf
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.
AAAI
Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
2024 J jnl
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation.
CoRR
Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun
2024 J jnl
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model.
CoRR
Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun
2024 J jnl
The Radiation Oncology NLP Database.
CoRR
Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu
2024 J jnl
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination.
CoRR
Haojie Zheng, Tianyang Xu, Hanchi Sun, Shu Pu, Ruoxi Chen, Lichao Sun
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024 J jnl
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models.
CoRR
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun
2024 — conf
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.
ICPR (29)
Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison
2024 J jnl
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.
CoRR
Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree B. Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison
2024 A* conf
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks?
USENIX Security Symposium
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
2024 J jnl
Variational Bayes for Federated Continual Learning.
CoRR
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
2024 J jnl
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era.
CoRR
Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
2024 — conf
Virtual Context Enhancing Jailbreak Attacks with Special Token Injection.
EMNLP (Findings)
Yuqi Zhou, Lin Lu, Ryan Sun, Pan Zhou, Lichao Sun
2024 J jnl
Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection.
CoRR
Yuqi Zhou, Lin Lu, Hanchi Sun, Pan Zhou, Lichao Sun
2024 B conf
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation.
IEEE Big Data
Yuqing Liu, Yu Wang, Yuwei Cao, Lichao Sun, Philip S. Yu
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang
2023 J jnl
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.
CoRR
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
2023 J jnl
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun
2023 J jnl
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.
CoRR
Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang
2023 J jnl
ACT: Adversarial Consistency Models.
CoRR
Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
2023 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
IEEE Trans. Knowl. Data Eng.
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
2023 J jnl
AlignBench: Benchmarking Chinese Alignment of Large Language Models.
CoRR
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
2023 J jnl
An in-depth study on key nodes in social networks.
Intell. Data Anal.
Chengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun
2023 A* conf
Attacking Fake News Detectors via Manipulating News Social Engagement.
WWW
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 J jnl
Attacking Fake News Detectors via Manipulating News Social Engagement.
CoRR
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
2023 A conf
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.
CIKM
Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu
2023 J jnl
Backdoor Attacks to Pre-trained Unified Foundation Models.
CoRR
Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun
2023 J jnl
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT.
CoRR
Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun
2023 A* conf
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.
ICCV
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2023 J jnl
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.
CoRR
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
2023 J jnl
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
2023 J jnl
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement.
CoRR
Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang
2023 J jnl
Decentralized Federated Learning: A Survey and Perspective.
CoRR
Liangqi Yuan, Lichao Sun, Philip S. Yu, Ziran Wang
2023 J jnl
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.
CoRR
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
2023 J jnl
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.
CoRR
Ruoxi Chen, Haibo Jin, Jinyin Chen, Lichao Sun
2023 J jnl
Efficient Few-Shot Clinical Task Adaptation with Large Language Models.
CoRR
Kaipeng Zheng, Weiran Huang, Lichao Sun
2023 A* conf
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models.
SIGIR
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang
2023 J jnl
Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu
2023 J jnl
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction.
CoRR
Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong
2023 J jnl
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs.
CoRR
Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr
2023 J jnl
FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation.
CoRR
Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Lichao Sun, Yuanxiu Cai, Shanshan Song, Jiangyun Li
2023 J jnl
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation.
CoRR
Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun
2023 J jnl
Harnessing the Power of ChatGPT in Fake News: An In-Depth Exploration in Generation, Detection and Explanation.
CoRR
Yue Huang, Lichao Sun
2023 J jnl
Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR
Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu
2023 J jnl
Improving Faithfulness for Vision Transformers.
CoRR
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023 J jnl
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao
2023 J jnl
Instruction Mining: High-Quality Instruction Data Selection for Large Language Models.
CoRR
Yihan Cao, Yanbin Kang, Lichao Sun
2023 J jnl
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4.
CoRR
Lai Wei, Zihao Jiang, Weiran Huang, Lichao Sun
2023 J jnl
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts.
CoRR
Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun
2023 J jnl
Learning Generalizable Agents via Saliency-Guided Features Decorrelation.
CoRR
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 A* conf
Learning Generalizable Agents via Saliency-guided Features Decorrelation.
NeurIPS
Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
2023 J jnl
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation.
CoRR
Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
2023 J jnl
Memory-adaptive Depth-wise Heterogenous Federated Learning.
CoRR
Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun
2023 J jnl
MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents.
CoRR
Yuan Li, Yixuan Zhang, Lichao Sun
2023 J jnl
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
CoRR
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
2023 J jnl
Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V.
CoRR
Zhiling Yan, Kai Zhang, Rong Zhou, Lifang He, Xiang Li, Lichao Sun
2023 A* conf
PASS: Personalized Advertiser-aware Sponsored Search.
KDD
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
Personalized Edge Intelligence via Federated Self-Knowledge Distillation.
IEEE Trans. Parallel Distributed Syst.
Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun
2023 A* conf
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples.
AAAI
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
2023 A* conf
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.
IJCAI
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2023 J jnl
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
CoRR
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2023 J jnl
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts.
CoRR
Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John W. Nicholson, Brian D. Davison
2023 A* conf
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.
ICLR
Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
2023 J jnl
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.
CoRR
Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
2023 A* conf
SEAT: Stable and Explainable Attention.
AAAI
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2023 A conf
Scalable Adversarial Attack Algorithms on Influence Maximization.
WSDM
Lichao Sun, Xiaobin Rui, Wei Chen
2023 A* conf
Scalable Fair Influence Maximization.
NeurIPS
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
2023 J jnl
Scalable Fair Influence Maximization.
CoRR
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
2023 B conf
Secure Embedding Aggregation for Federated Representation Learning.
ISIT
Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun
2023 J jnl
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.
CoRR
Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun
2023 J jnl
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning.
CoRR
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
2023 J jnl
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.
CoRR
Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
2023 A* conf
Tackling Data Heterogeneity in Federated Learning with Class Prototypes.
AAAI
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2023 J jnl
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones.
CoRR
Zhengqing Yuan, Zhaoxu Li, Lichao Sun
2023 J jnl
Toward Personalized Federated Learning Via Group Collaboration in IIoT.
IEEE Trans. Ind. Informatics
Jianfeng Lu, Haibo Liu, Riheng Jia, Jiangtao Wang, Lichao Sun, Shaohua Wan
2023 J jnl
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.
CoRR
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
2023 J jnl
Towards Graph Foundation Models: A Survey and Beyond.
CoRR
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2023 A* conf
Transferable Unlearnable Examples.
ICLR
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2023 J jnl
Triadic Closure Sensitive Influence Maximization.
ACM Trans. Knowl. Discov. Data
Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun
2023 J jnl
TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models.
CoRR
Yue Huang, Qihui Zhang, Philip S. Yu, Lichao Sun
2023 J jnl
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation.
CoRR
Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun
2023 J jnl
Watermarking Text Data on Large Language Models for Dataset Copyright Protection.
CoRR
Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun
2022 J jnl
A Survey on Text Classification: From Traditional to Deep Learning.
ACM Trans. Intell. Syst. Technol.
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2022 A* conf
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
NeurIPS
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022 A* conf
Backdoor Attacks on Crowd Counting.
ACM Multimedia
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 J jnl
Backdoor Attacks on Crowd Counting.
CoRR
Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun
2022 J jnl
Benchmarking Node Outlier Detection on Graphs.
CoRR
Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022 A* conf
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.
IJCAI
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022 J jnl
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.
CoRR
Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun
2022 J jnl
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning.
CoRR
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 A* conf
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.
NeurIPS
Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun
2022 A* conf
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems.
USENIX Security Symposium
Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun
2022 — conf
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
EMNLP (Findings)
Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun
2022 J jnl
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR
Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun
2022 J jnl
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models.
CoRR
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang
2022 J jnl
FedBERT: When Federated Learning Meets Pre-training.
ACM Trans. Intell. Syst. Technol.
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun
2022 J jnl
Federated Multi-view Learning for Private Medical Data Integration and Analysis.
ACM Trans. Intell. Syst. Technol.
Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He
2022 J jnl
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.
CoRR
Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
2022 J jnl
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.
IACR Cryptol. ePrint Arch.
Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun
2022 A* conf
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.
ICLR
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2022 — conf
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
EMBC
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2022 J jnl
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.
IEEE Trans. Neural Networks Learn. Syst.
Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He
2022 J jnl
Membership Inference Attacks on Machine Learning: A Survey.
ACM Comput. Surv.
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
2022 A* conf
Membership Inference via Backdooring.
IJCAI
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
2022 J jnl
Membership Inference via Backdooring.
CoRR
Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang
2022 — conf
Multi-View Brain Network Analysis with Cross-View Missing Network Generation.
BIBM
Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang
2022 J jnl
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples.
CoRR
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
2022 J jnl
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics
Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He
2022 — conf
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
ACL (Findings)
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2022 — conf
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
EMNLP (Findings)
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
2022 J jnl
SEAT: Stable and Explainable Attention.
CoRR
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
2022 J jnl
Scalable Adversarial Attack Algorithms on Influence Maximization.
CoRR
Lichao Sun, Xiaobin Rui, Wei Chen
2022 A* conf
SplitFed: When Federated Learning Meets Split Learning.
AAAI
Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun
2022 — conf
Structure-Preserving Graph Kernel for Brain Network Classification.
ISBI
Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2022 J jnl
Tackling Data Heterogeneity in Federated Learning with Class Prototypes.
CoRR
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
2022 A conf
The 1st International Workshop on Federated Learning with Graph Data (FedGraph).
CIKM
Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr
2022 J jnl
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation.
CoRR
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2022 J jnl
Transferable Unlearnable Examples.
CoRR
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2022 — conf
You see what I want you to see: poisoning vulnerabilities in neural code search.
ESEC/SIGSOFT FSE
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun
2021 J jnl
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur.
Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun
2021 A conf
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CIKM
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CoRR
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems.
CoRR
Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun
2021 J jnl
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization.
CoRR
Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun
2021 J jnl
Federated Depression Detection from Multi-SourceMobile Health Data.
CoRR
Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He
2021 A* conf
Federated Model Distillation with Noise-Free Differential Privacy.
IJCAI
Lichao Sun, Lingjuan Lyu
2021 J jnl
Federated Multi-View Learning for Private Medical Data Integration and Analysis.
CoRR
Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He
2021 J jnl
Global Knowledge Distillation in Federated Learning.
CoRR
Wanning Pan, Lichao Sun
2021 A* conf
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
IJCAI
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021 J jnl
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.
CoRR
Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He
2021 A conf
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.
CIKM
Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun
2021 J jnl
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks.
CoRR
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
2021 J jnl
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data.
CoRR
Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun
2021 J jnl
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
CoRR
Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang
2021 J jnl
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs.
CoRR
Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun
2021 J jnl
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.
IEEE Trans. Mob. Comput.
Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway
2021 A* conf
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.
IJCAI
Lichao Sun, Jianwei Qian, Xun Chen
2021 J jnl
Localization of multiple diffusion sources based on overlapping community detection.
Knowl. Based Syst.
Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun
2021 J jnl
Membership Inference Attacks on Knowledge Graphs.
CoRR
Yu Wang, Lichao Sun
2021 — conf
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
NAACL-HLT
Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu
2021 J jnl
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
CoRR
Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun
2021 J jnl
Multiplex Graph Networks for Multimodal Brain Network Analysis.
CoRR
Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He
2021 J jnl
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding.
CoRR
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang
2021 A* conf
Secure Deep Graph Generation with Link Differential Privacy.
IJCAI
Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun
2021 A* conf
Source Inference Attacks in Federated Learning.
ICDM
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang
2021 J jnl
Source Inference Attacks in Federated Learning.
CoRR
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang
2021 J jnl
Structure-Preserving Graph Kernel for Brain Network Classification.
CoRR
Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He
2021 A* conf
Subgraph Federated Learning with Missing Neighbor Generation.
NeurIPS
Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu
2021 J jnl
Subgraph Federated Learning with Missing Neighbor Generation.
CoRR
Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu
2021 A* conf
This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration.
CCS
Michalis Diamantaris, Serafeim Moustakas, Lichao Sun, Sotiris Ioannidis, Jason Polakis
2021 A* conf
User Preference-aware Fake News Detection.
SIGIR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2021 J jnl
User Preference-aware Fake News Detection.
CoRR
Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun
2020 J jnl
A Survey on Text Classification: From Shallow to Deep Learning.
CoRR
Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He
2020 J jnl
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR
Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong
2020 J jnl
Differentially Private Deep Learning with Smooth Sensitivity.
CoRR
Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong
2020 J jnl
Federated Model Distillation with Noise-Free Differential Privacy.
CoRR
Lichao Sun, Lingjuan Lyu
2020 A conf
Influence Maximization with Spontaneous User Adoption.
WSDM
Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen
2020 J jnl
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.
CoRR
Lichao Sun, Jianwei Qian, Xun Chen, Philip S. Yu
2020 J jnl
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.
CoRR
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020 B conf
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.
COLING
Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He
2020 J jnl
Natural Backdoor Attack on Text Data.
CoRR
Lichao Sun
2020 J jnl
Privacy and Robustness in Federated Learning: Attacks and Defenses.
CoRR
Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2020 J jnl
Secure Network Release with Link Privacy.
CoRR
Carl Yang, Haonan Wang, Lichao Sun, Bo Li
2020 A* conf
Target Privacy Preserving for Social Networks.
ICDE
Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2020 J jnl
Target Privacy Preserving for Social Networks.
CoRR
Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen
2019 — conf
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.
IEEE BigData
Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2019 A* conf
Private Model Compression via Knowledge Distillation.
AAAI
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2019 J jnl
Self-Activation Influence Maximization.
CoRR
Lichao Sun, Albert C. Chen, Philip S. Yu, Wei Chen
2018 J jnl
Adversarial Attack and Defense on Graph Data: A Survey.
CoRR
Lichao Sun, Ji Wang, Philip S. Yu, Bo Li
2018 J jnl
Deep Learning Towards Mobile Applications.
CoRR
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 A conf
Deep Learning towards Mobile Applications.
ICDCS
Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu
2018 — conf
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
ICBK
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 J jnl
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.
CoRR
Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu
2018 J jnl
Multi-Round Influence Maximization (Extended Version).
CoRR
Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2018 A* conf
Multi-Round Influence Maximization.
KDD
Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen
2018 J jnl
Private Model Compression via Knowledge Distillation.
CoRR
Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu
2018 J jnl
Significant Permission Identification for Machine-Learning-Based Android Malware Detection.
IEEE Trans. Ind. Informatics
Jin Li, Lichao Sun, Qiben Yan, Zhiqiang Li, Witawas Srisa-an, Heng Ye
2018 J jnl
Unsupervised Meta-path Reduction on Heterogeneous Information Networks.
CoRR
Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2017 J jnl
Contaminant Removal for Android Malware Detection Systems.
CoRR
Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017 — conf
Contaminant removal for Android malware detection systems.
IEEE BigData
Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an
2017 A conf
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
CIKM
Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu
2017 — conf
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
ECML/PKDD (3)
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2017 J jnl
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
CoRR
Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow
2016 C conf
DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware.
SecureComm
Zhiqiang Li, Lichao Sun, Qiben Yan, Witawas Srisa-an, Zhenxiang Chen
2016 — conf
SigPID: significant permission identification for android malware detection.
MALWARE
Lichao Sun, Zhiqiang Li, Qiben Yan, Witawas Srisa-an, Yu Pan