SigPID: significant permission identification for android malware detection. - Lichao Sun 001; Zhiqiang Li; Qiben Yan; Witawas Srisa-an; Yu Pan 007 (MALWARE, 2016)

DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware. - Zhiqiang Li; Lichao Sun 001; Qiben Yan; Witawas Srisa-an; Zhenxiang Chen (SecureComm, 2016)

Contaminant removal for Android malware detection systems. - Lichao Sun 001; Xiaokai Wei; Jiawei Zhang 001; Lifang He 001; Philip S. Yu; Witawas Srisa-an (IEEE BigData, 2017)

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. - Yuqi Wang; Jiannong Cao 001; Lifang He 001; Wengen Li; Lichao Sun 001; Philip S. Yu (CIKM, 2017)

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. - Lichao Sun 001; Yuqi Wang; Bokai Cao; Philip S. Yu; Witawas Srisa-an; Alex D. Leow (ECML/PKDD (3), 2017)

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. - Lichao Sun 001; Lifang He 001; Zhipeng Huang 001; Bokai Cao; Congying Xia; Xiaokai Wei; Philip S. Yu (ICBK, 2018)

Deep Learning towards Mobile Applications. - Ji Wang 002; Bokai Cao; Philip S. Yu; Lichao Sun 001; Weidong Bao 001; Xiaomin Zhu 001 (ICDCS, 2018)

Multi-Round Influence Maximization. - Lichao Sun 001; Weiran Huang 001; Philip S. Yu; Wei Chen 013 (KDD, 2018)

Multi-Round Influence Maximization (Extended Version). - Lichao Sun 001; Weiran Huang 001; Philip S. Yu; Wei Chen 013 (CoRR, 2018)

Unsupervised Meta-path Reduction on Heterogeneous Information Networks. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (CoRR, 2018)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Ji Wang 002; Philip S. Yu; Bo Li 026 (CoRR, 2018)

Significant Permission Identification for Machine-Learning-Based Android Malware Detection. - Jin Li 002; Lichao Sun 001; Qiben Yan; Zhiqiang Li; Witawas Srisa-an; Heng Ye (IEEE Trans. Ind. Informatics, 2018)

Private Model Compression via Knowledge Distillation. - Ji Wang 002; Weidong Bao 001; Lichao Sun 001; Xiaomin Zhu 001; Bokai Cao; Philip S. Yu (AAAI, 2019)

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. - Xiaokai Wei; Zhiwei Liu 001; Lichao Sun 001; Philip S. Yu (IEEE BigData, 2019)

Self-Activation Influence Maximization. - Lichao Sun 001; Albert C. Chen 002; Philip S. Yu; Wei Chen 013 (CoRR, 2019)

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (COLING, 2020)

Target Privacy Preserving for Social Networks. - Zhongyuan Jiang; Lichao Sun 001; Philip S. Yu; Hui Li 005; Jianfeng Ma 001; Yulong Shen 001 (ICDE, 2020)

Influence Maximization with Spontaneous User Adoption. - Lichao Sun 001; Albert C. Chen 002; Philip S. Yu; Wei Chen 013 (WSDM, 2020)

Differentially Private Deep Learning with Smooth Sensitivity. - Lichao Sun 001; Yingbo Zhou; Philip S. Yu; Caiming Xiong (CoRR, 2020)

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. - Lichao Sun 001; Kazuma Hashimoto; Wenpeng Yin 001; Akari Asai; Jia Li 015; Philip S. Yu; Caiming Xiong (CoRR, 2020)

Secure Network Release with Link Privacy. - Carl Yang 001; Haonan Wang; Lichao Sun 001; Bo Li 026 (CoRR, 2020)

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. - Lichao Sun 001; Jianwei Qian; Xun Chen; Philip S. Yu (CoRR, 2020)

A Survey on Text Classification: From Shallow to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. - Lichao Sun 001; Congying Xia; Wenpeng Yin 001; Tingting Liang; Philip S. Yu; Lifang He 001 (CoRR, 2020)

Privacy and Robustness in Federated Learning: Attacks and Defenses. - Lingjuan Lyu; Han Yu 001; Xingjun Ma; Lichao Sun 001; Jun Zhao 007; Qiang Yang 001; Philip S. Yu (CoRR, 2020)

This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration. - Michalis Diamantaris; Serafeim Moustakas; Lichao Sun 001; Sotiris Ioannidis; Jason Polakis (CCS, 2021)

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. - Chen Li 046; Xutan Peng; Hao Peng 001; Jia Wu 001; Lihong Wang; Philip S. Yu; Jianxin Li 002; Lichao Sun 001 (CIKM, 2021)

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. - Yu Wang 158; Zhiwei Liu 001; Ziwei Fan 001; Lichao Sun 001; Philip S. Yu (CIKM, 2021)

Source Inference Attacks in Federated Learning. - Hongsheng Hu; Zoran Salcic; Lichao Sun 001; Gillian Dobbie; Xuyun Zhang (ICDM, 2021)

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. - Gongxu Luo; Jianxin Li 002; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Philip S. Yu; Lifang He 001 (IJCAI, 2021)

Federated Model Distillation with Noise-Free Differential Privacy. - Lichao Sun 001; Lingjuan Lyu (IJCAI, 2021)

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. - Lichao Sun 001; Jianwei Qian; Xun Chen (IJCAI, 2021)

Secure Deep Graph Generation with Link Differential Privacy. - Carl Yang 001; Haonan Wang; Ke Zhang; Liang Chen 001; Lichao Sun 001 (IJCAI, 2021)

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! - Xuanli He; Lingjuan Lyu; Lichao Sun 001; Qiongkai Xu (NAACL-HLT, 2021)

Subgraph Federated Learning with Missing Neighbor Generation. - Ke Zhang; Carl Yang 001; Xiaoxiao Li; Lichao Sun 001; Siu-Ming Yiu (NeurIPS, 2021)

User Preference-aware Fake News Detection. - Yingtong Dou; Kai Shu; Congying Xia; Philip S. Yu; Lichao Sun 001 (SIGIR, 2021)

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001; Lichao Sun 001 (Comput. Secur., 2021)

Federated Depression Detection from Multi-SourceMobile Health Data. - Xiaohang Xu 002; Hao Peng 001; Lichao Sun 001; Yan Niu; Hongyuan Ma; Lianzhong Liu; Lifang He 001 (CoRR, 2021)

Federated Multi-View Learning for Private Medical Data Integration and Analysis. - Sicong Che; Hao Peng 001; Lichao Sun 001; Yong Chen 016; Lifang He 001 (CoRR, 2021)

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. - Lingjuan Lyu; Xuanli He; Fangzhao Wu; Lichao Sun 001 (CoRR, 2021)

Global Knowledge Distillation in Federated Learning. - Wanning Pan; Lichao Sun 001 (CoRR, 2021)

Multiplex Graph Networks for Multimodal Brain Network Analysis. - Zhaoming Kong; Lichao Sun 001; Hao Peng 001; Liang Zhan; Yong Chen 016; Lifang He 001 (CoRR, 2021)

FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. - Dezhong Yao 002; Wanning Pan; Yao Wan 001; Hai Jin 001; Lichao Sun 001 (CoRR, 2021)

Localization of multiple diffusion sources based on overlapping community detection. - Zhixiao Wang; Chengcheng Sun; Xiaobin Rui; Philip S. Yu; Lichao Sun 001 (Knowl. Based Syst., 2021)

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. - Lichao Sun 001; Bokai Cao; Ji Wang 002; Witawas Srisa-an; Philip S. Yu; Alex D. Leow; Stephen Checkoway (IEEE Trans. Mob. Comput., 2021)

SplitFed: When Federated Learning Meets Split Learning. - Chandra Thapa; Mahawaga Arachchige Pathum Chamikara; Seyit Camtepe; Lichao Sun 001 (AAAI, 2022)

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. - Sijia Wang; Mo Yu; Shiyu Chang; Lichao Sun 001; Lifu Huang (ACL (Findings), 2022)

Multi-View Brain Network Analysis with Cross-View Missing Network Generation. - Gongxu Luo; Chenyang Li; Hejie Cui; Lichao Sun 001; Lifang He 001; Carl Yang 001 (BIBM, 2022)

The 1st International Workshop on Federated Learning with Graph Data (FedGraph). - Carl Yang 001; Xiaoxiao Li; Nathalie Baracaldo; Neil Shah; Chaoyang He 001; Lingjuan Lyu; Lichao Sun 001; Salman Avestimehr (CIKM, 2022)

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. - Yanqiao Zhu 001; Hejie Cui; Lifang He 001; Lichao Sun 001; Carl Yang 001 (EMBC, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Xun Chen; Lichao Sun 001 (EMNLP (Findings), 2022)

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. - Jiahao Zhu; Daizong Liu; Pan Zhou 001; Xing Di; Yu Cheng 001; Song Yang 002; Wenzheng Xu; Zichuan Xu; Yao Wan 001; Lichao Sun 001; Zeyu Xiong (EMNLP (Findings), 2022)

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. - Zhiyuan Zhang 001; Lingjuan Lyu; Weiqiang Wang; Lichao Sun 001; Xu Sun 001 (ICLR, 2022)

Membership Inference via Backdooring. - Hongsheng Hu; Zoran Salcic; Gillian Dobbie; Jinjun Chen; Lichao Sun 001; Xuyun Zhang (IJCAI, 2022)

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. - Yuanxin Zhuang; Lingjuan Lyu; Chuan Shi 001; Carl Yang 001; Lichao Sun 001 (IJCAI, 2022)

Structure-Preserving Graph Kernel for Brain Network Classification. - Jun Yu; Zhaoming Kong; Aditya Kendre; Hao Peng 001; Carl Yang 001; Lichao Sun 001; Alex D. Leow; Lifang He 001 (ISBI, 2022)

Backdoor Attacks on Crowd Counting. - Yuhua Sun; Tailai Zhang; Xingjun Ma; Pan Zhou 001; Jian Lou 001; Zichuan Xu; Xing Di; Yu Cheng 001; Lichao Sun 001 (ACM Multimedia, 2022)

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Hechang Chen; Sili Huang; Haiyin Piao; Yi Chang 001; Lichao Sun 001 (NeurIPS, 2022)

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (NeurIPS, 2022)

You see what I want you to see: poisoning vulnerabilities in neural code search. - Yao Wan 001; Shijie Zhang; Hongyu Zhang 002; Yulei Sui; Guandong Xu; Dezhong Yao 002; Hai Jin 001; Lichao Sun 001 (ESEC/SIGSOFT FSE, 2022)

DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems. - Ce Zhou; Qiben Yan; Yan Shi; Lichao Sun 001 (USENIX Security Symposium, 2022)

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. - Kai Zhang 039; Yu Wang 158; Hongyi Wang 001; Lifu Huang; Carl Yang 001; Lichao Sun 001 (CoRR, 2022)

Benchmarking Node Outlier Detection on Graphs. - Kay Liu; Yingtong Dou; Yue Zhao 016; Xueying Ding; Xiyang Hu; Ruitong Zhang; Kaize Ding; Canyu Chen; Hao Peng 001; Kai Shu; Lichao Sun 001; Jundong Li; et al. (CoRR, 2022)

Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (CoRR, 2022)

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. - Jiaxiang Tang; Jinbao Zhu; Songze Li; Kai Zhang 039; Lichao Sun 001 (IACR Cryptol. ePrint Arch., 2022)

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. - Xiaohang Xu 002; Hao Peng 001; Md. Zakirul Alam Bhuiyan; Zhifeng Hao; Lianzhong Liu; Lichao Sun 001; Lifang He 001 (IEEE Trans. Ind. Informatics, 2022)

Federated Multi-view Learning for Private Medical Data Integration and Analysis. - Sicong Che; Zhaoming Kong; Hao Peng 001; Lichao Sun 001; Alex D. Leow; Yong Chen 016; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

A Survey on Text Classification: From Traditional to Deep Learning. - Qian Li 033; Hao Peng 001; Jianxin Li 002; Congying Xia; Renyu Yang; Lichao Sun 001; Philip S. Yu; Lifang He 001 (ACM Trans. Intell. Syst. Technol., 2022)

FedBERT: When Federated Learning Meets Pre-training. - Yuanyishu Tian; Yao Wan 001; Lingjuan Lyu; Dezhong Yao 002; Hai Jin 001; Lichao Sun 001 (ACM Trans. Intell. Syst. Technol., 2022)

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. - Chen Li 046; Hao Peng 001; Jianxin Li 002; Lichao Sun 001; Lingjuan Lyu; Lihong Wang; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Membership Inference Attacks on Machine Learning: A Survey. - Hongsheng Hu; Zoran Salcic; Lichao Sun 001; Gillian Dobbie; Philip S. Yu; Xuyun Zhang (ACM Comput. Surv., 2022)

Tackling Data Heterogeneity in Federated Learning with Class Prototypes. - Yutong Dai 002; Zeyuan Chen 001; Junnan Li 001; Shelby Heinecke; Lichao Sun 001; Ran Xu 001 (AAAI, 2023)

SEAT: Stable and Explainable Attention. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (AAAI, 2023)

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. - Shengshan Hu; Junwei Zhang; Wei Liu 004; Junhui Hou; Minghui Li; Leo Yu Zhang; Hai Jin 001; Lichao Sun 001 (AAAI, 2023)

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. - Zihan Guan 001; Lichao Sun 001; Mengnan Du; Ninghao Liu (CIKM, 2023)

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. - Qiufan Ji; Lin Wang 025; Cong Shi 004; Shengshan Hu; Yingying Chen 001; Lichao Sun 001 (ICCV, 2023)

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. - Junfeng Guo; Yiming Li 004; Xun Chen; Hanqing Guo; Lichao Sun 001; Cong Liu 005 (ICLR, 2023)

Transferable Unlearnable Examples. - Jie Ren 019; Han Xu 002; Yuxuan Wan; Xingjun Ma; Lichao Sun 001; Jiliang Tang (ICLR, 2023)

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (IJCAI, 2023)

Secure Embedding Aggregation for Federated Representation Learning. - Jiaxiang Tang; Jinbao Zhu; Songze Li; Lichao Sun 001 (ISIT, 2023)

PASS: Personalized Advertiser-aware Sponsored Search. - Zhoujin Tian; Chaozhuo Li; Zhiqiang Zuo 004; Zengxuan Wen; Lichao Sun 001; Xinyue Hu 003; Wen Zhang; Haizhen Huang; Senzhang Wang; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (KDD, 2023)

Learning Generalizable Agents via Saliency-guided Features Decorrelation. - Sili Huang; Yanchao Sun; Jifeng Hu; Siyuan Guo; Hechang Chen; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2023)

Scalable Fair Influence Maximization. - Xiaobin Rui; Zhixiao Wang; Jiayu Zhao; Lichao Sun 001; Wei Chen 013 (NeurIPS, 2023)

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. - Hao Yan 004; Chaozhuo Li; Ruosong Long; Chao Yan 004; Jianan Zhao 002; Wenwen Zhuang; Jun Yin 005; Peiyan Zhang; Weihao Han; Hao Sun 015; Weiwei Deng; Qi Zhang 066; et al. (NeurIPS, 2023)

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. - Barry Menglong Yao; Aditya Shah; Lichao Sun 001; Jin-Hee Cho; Lifu Huang (SIGIR, 2023)

Scalable Adversarial Attack Algorithms on Influence Maximization. - Lichao Sun 001; Xiaobin Rui; Wei Chen 013 (WSDM, 2023)

Attacking Fake News Detectors via Manipulating News Social Engagement. - Haoran Wang 005; Yingtong Dou; Canyu Chen; Lichao Sun 001; Philip S. Yu; Kai Shu (WWW, 2023)

Backdoor Attacks to Pre-trained Unified Foundation Models. - Zenghui Yuan; Yixin Liu 002; Kai Zhang 039; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. - Yixin Liu 002; Haohui Ye; Kai Zhang 039; Lichao Sun 001 (CoRR, 2023)

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. - Yixin Liu 002; Chenrui Fan; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (CoRR, 2023)

Memory-adaptive Depth-wise Heterogenous Federated Learning. - Kai Zhang 039; Yutong Dai 002; Hongyi Wang 001; Eric P. Xing; Xun Chen; Lichao Sun 001 (CoRR, 2023)

FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation. - Wenxuan Wang 002; Jing Wang 222; Chen Chen 001; Jianbo Jiao; Lichao Sun 001; Yuanxiu Cai; Shanshan Song; Jiangyun Li (CoRR, 2023)

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. - Jiawen Shi; Yixin Liu 002; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Watermarking Text Data on Large Language Models for Dataset Copyright Protection. - Yixin Liu 002; Hongsheng Hu; Xuyun Zhang; Lichao Sun 001 (CoRR, 2023)

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. - Kai Zhang 039; Jun Yu; Zhiling Yan; Yixin Liu 002; Eashan Adhikarla; Sunyang Fu; Xun Chen; Chen Chen 001; Yuyin Zhou; Xiang Li 001; Lifang He 001; Brian D. Davison 001; et al. (CoRR, 2023)

Decentralized Federated Learning: A Survey and Perspective. - Liangqi Yuan; Lichao Sun 001; Philip S. Yu; Ziran Wang (CoRR, 2023)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. - Yingqian Cui; Jie Ren 019; Han Xu 002; Pengfei He; Hui Liu 031; Lichao Sun 001; Jiliang Tang (CoRR, 2023)

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Sili Huang; Siyuan Guo; Hechang Chen; Li Shen 008; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2023)

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Chulin Xie; Kai Zhang 039; Qifan Zhang 002; Yuhui Zhang; Chaoyang He 001; et al. (CoRR, 2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. - Siyuan Guo; Yanchao Sun; Jifeng Hu; Sili Huang; Hechang Chen; Haiyin Piao; Lichao Sun 001; Yi Chang 001 (CoRR, 2023)

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. - Yue Huang 001; Qihui Zhang; Philip S. Yu; Lichao Sun 001 (CoRR, 2023)

Instruction Mining: High-Quality Instruction Data Selection for Large Language Models. - Yihan Cao; Yanbin Kang; Lichao Sun 001 (CoRR, 2023)

Evaluating Large Language Models for Radiology Natural Language Processing. - Zhengliang Liu; Tianyang Zhong; Yiwei Li 002; Yutong Zhang; Yi Pan 001; Zihao Zhao 002; Peixin Dong; Chao Cao; Yuxiao Liu; Peng Shu; Yaonai Wei; Zihao Wu 001; et al. (CoRR, 2023)

InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4. - Lai Wei 005; Zihao Jiang 005; Weiran Huang 001; Lichao Sun 001 (CoRR, 2023)

Harnessing the Power of ChatGPT in Fake News: An In-Depth Exploration in Generation, Detection and Explanation. - Yue Huang 001; Lichao Sun 001 (CoRR, 2023)

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents. - Yuan Li 032; Yixuan Zhang 001; Lichao Sun 001 (CoRR, 2023)

GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. - Yixin Liu 002; Chenrui Fan; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

Towards Graph Foundation Models: A Survey and Beyond. - Jiawei Liu 006; Cheng Yang 003; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (CoRR, 2023)

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. - Zhiling Yan; Kai Zhang 039; Rong Zhou; Lifang He 001; Xiang Li 001; Lichao Sun 001 (CoRR, 2023)

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. - Yuanwei Wu; Xiang Li 001; Yixin Liu 002; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models. - Ruoxi Chen; Haibo Jin; Jinyin Chen; Lichao Sun 001 (CoRR, 2023)

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CoRR, 2023)

ACT: Adversarial Consistency Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2023)

Improving Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (CoRR, 2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Zhuoer Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (CoRR, 2023)

Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts. - Eashan Adhikarla; Kai Zhang 039; Jun Yu; Lichao Sun 001; John W. Nicholson 001; Brian D. Davison 001 (CoRR, 2023)

Holistic Evaluation of GPT-4V for Biomedical Imaging. - Zhengliang Liu; Hanqi Jiang; Tianyang Zhong; Zihao Wu 001; Chong Ma; Yiwei Li 002; Xiaowei Yu; Yutong Zhang; Yi Pan 001; Peng Shu; Yanjun Lyu; Lu Zhang 050; et al. (CoRR, 2023)

Efficient Few-Shot Clinical Task Adaptation with Large Language Models. - Kaipeng Zheng; Weiran Huang 001; Lichao Sun 001 (CoRR, 2023)

An in-depth study on key nodes in social networks. - Chengcheng Sun; Zhixiao Wang; Xiaobin Rui; Philip S. Yu; Lichao Sun 001 (Intell. Data Anal., 2023)

Personalized Edge Intelligence via Federated Self-Knowledge Distillation. - Hai Jin 001; Dongshan Bai; Dezhong Yao 002; Yutong Dai 002; Lin Gu 002; Chen Yu 003; Lichao Sun 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Triadic Closure Sensitive Influence Maximization. - Jie Yang 066; Zhixiao Wang; Xiaobin Rui; Yahui Chai; Philip S. Yu; Lichao Sun 001 (ACM Trans. Knowl. Discov. Data, 2023)

Toward Personalized Federated Learning Via Group Collaboration in IIoT. - Jianfeng Lu 002; Haibo Liu; Riheng Jia; Jiangtao Wang 001; Lichao Sun 001; Shaohua Wan 001 (IEEE Trans. Ind. Informatics, 2023)

Adversarial Attack and Defense on Graph Data: A Survey. - Lichao Sun 001; Yingtong Dou; Carl Yang 001; Kai Zhang 039; Ji Wang 002; Philip S. Yu; Lifang He 001; Bo Li 026 (IEEE Trans. Knowl. Data Eng., 2023)

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. - Yixin Liu 002; Kaidi Xu; Xun Chen; Lichao Sun 001 (AAAI, 2024)

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. - Lulu Xue; Shengshan Hu; Ruizhi Zhao; Leo Yu Zhang; Shengqing Hu; Lichao Sun 001; Dezhong Yao 002 (AAAI, 2024)

AlignBench: Benchmarking Chinese Alignment of Large Language Models. - Xiao Liu 036; Xuanyu Lei; Shengyuan Wang 002; Yue Huang 001; Andrew Feng; Bosi Wen; Jiale Cheng; Pei Ke; Yifan Xu; Weng Lam Tam; Xiaohan Zhang; Lichao Sun 001; et al. (ACL (1), 2024)

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. - Youpeng Li; Xinda Wang 001; Fuxun Yu; Lichao Sun 001; Wenbin Zhang 002; Xuyu Wang (ACSAC, 2024)

Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation. - Yuqing Liu 003; Yu Wang 158; Yuwei Cao; Lichao Sun 001; Philip S. Yu (IEEE Big Data, 2024)

Optimization-based Prompt Injection Attack to LLM-as-a-Judge. - Jiawen Shi; Zenghui Yuan; Yinuo Liu; Yue Huang 001; Pan Zhou 001; Lichao Sun 001; Neil Zhenqiang Gong (CCS, 2024)

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. - Yixin Liu 002; Chenrui Fan; Yutong Dai 002; Xun Chen; Pan Zhou 001; Lichao Sun 001 (CVPR, 2024)

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. - Fei Kong; Jinhao Duan; Lichao Sun 001; Hao Cheng 015; Renjing Xu; Hengtao Shen; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CVPR, 2024)

Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World. - Wen Yin; Jian Lou 001; Pan Zhou 001; Yulai Xie; Dan Feng 001; Yuhua Sun; Tailai Zhang; Lichao Sun 001 (CVPR, 2024)

EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models. - Ruoxi Chen; Haibo Jin; Yixin Liu 002; Jinyin Chen; Haohan Wang; Lichao Sun 001 (ECCV (63), 2024)

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. - Batu Guan; Yao Wan 001; Zhangqian Bi; Zheng Wang 001; Hongyu Zhang 002; Pan Zhou 001; Lichao Sun 001 (EMNLP (Findings), 2024)

1+1 textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (EMNLP, 2024)

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding. - Ryan Sun; Tianyi Zhou 001; Xun Chen; Lichao Sun 001 (EMNLP, 2024)

Virtual Context Enhancing Jailbreak Attacks with Special Token Injection. - Yuqi Zhou; Lin Lu; Ryan Sun; Pan Zhou 001; Lichao Sun 001 (EMNLP (Findings), 2024)

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. - Yue Huang 001; Jiawen Shi; Yuan Li 032; Chenrui Fan; Siyuan Wu 001; Qihui Zhang; Yixin Liu 002; Pan Zhou 001; Yao Wan 001; Neil Zhenqiang Gong; Lichao Sun 001 (ICLR, 2024)

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. - Dongping Chen; Ruoxi Chen; Shilin Zhang; Yaochen Wang; Yinuo Liu; Huichi Zhou; Qihui Zhang; Yao Wan 001; Pan Zhou 001; Lichao Sun 001 (ICML, 2024)

Improving Interpretation Faithfulness for Vision Transformers. - Lijie Hu; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (ICML, 2024)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. - Sili Huang; Jifeng Hu; Hechang Chen; Lichao Sun 001; Bo Yang 002 (ICML, 2024)

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement. - Eashan Adhikarla; Kai Zhang 039; Rosaura G. VidalMata; Manjushree B. Aithal; Nikhil Ambha Madhusudhana; John W. Nicholson 001; Lichao Sun 001; Brian D. Davison 001 (ICPR (29), 2024)

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. - Shanshan Han; Baturalp Buyukates; Zijian Hu 001; Han Jin; Weizhao Jin; Lichao Sun 001; Xiaoyang Wang; Wenxuan Wu; Chulin Xie; Yuhang Yao; Kai Zhang 039; Qifan Zhang 002; et al. (KDD, 2024)

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. - Wenting Chen; Pengyu Wang 005; Hui Ren 001; Lichao Sun 001; Quanzheng Li; Yixuan Yuan; Xiang Li 001 (MICCAI (12), 2024)

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. - Qing Xiao 003; Siyeop Yoon; Hui Ren 001; Matthew Tivnan; Lichao Sun 001; Quanzheng Li; Tianming Liu 001; Yu Zhang 044; Xiang Li 001 (MICCAI (2), 2024)

Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. - Xiaowen Cai 001; Yunbo Tao; Daizong Liu; Pan Zhou 001; Xiaoye Qu; Jianfeng Dong; Keke Tang; Lichao Sun 001 (ACM Multimedia, 2024)

ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. - Jinhao Duan; Shiqi Wang 002; James Diffenderfer; Lichao Sun 001; Tianlong Chen 001; Bhavya Kailkhura; Kaidi Xu (NAACL-HLT, 2024)

LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? - Qihui Zhang; Chujie Gao; Dongping Chen; Yue Huang 001; Yixin Huang; Zhenyang Sun; Shilin Zhang; Weiye Li; Zhengyan Fu; Yao Wan 001; Lichao Sun 001 (NAACL-HLT (Findings), 2024)

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. - Jinhao Duan; Renming Zhang; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Elias Stengel-Eskin; Mohit Bansal; Tianlong Chen 001; Kaidi Xu (NeurIPS, 2024)

HonestLLM: Toward an Honest and Helpful Large Language Model. - Chujie Gao; Siyuan Wu 001; Yue Huang 001; Dongping Chen; Qihui Zhang; Zhengyan Fu; Yao Wan 001; Lichao Sun 001; Xiangliang Zhang 001 (NeurIPS, 2024)

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. - Sili Huang; Jifeng Hu; Zhejian Yang; Liwei Yang; Tao Luo; Hechang Chen; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2024)

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models. - Daizong Liu; Mingyu Yang; Xiaoye Qu; Pan Zhou 001; Xiang Fang; Keke Tang; Yao Wan 001; Lichao Sun 001 (NeurIPS, 2024)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. - Ke Zhang; Lichao Sun 001; Bolin Ding; Siu Ming Yiu; Carl Yang 001 (SDM, 2024)

Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? - Yuanxin Zhuang; Chuan Shi 001; Mengmei Zhang; Jinghui Chen; Lingjuan Lyu; Pan Zhou 001; Lichao Sun 001 (USENIX Security Symposium, 2024)

From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. - Yue Huang 001; Kai Shu; Philip S. Yu; Lichao Sun 001 (WWW (Companion Volume), 2024)

Lecture-style Tutorial: Towards Graph Foundation Models. - Chuan Shi 001; Cheng Yang 002; Yuan Fang 001; Lichao Sun 001; Philip S. Yu (WWW (Companion Volume), 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)

LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase. - Chujie Gao; Dongping Chen; Qihui Zhang; Yue Huang 001; Yao Wan 001; Lichao Sun 001 (CoRR, 2024)

The Radiation Oncology NLP Database. - Zhengliang Liu; Jason Holmes; Wenxiong Liao; Chenbin Liu; Lian Zhang; Hongying Feng; Peilong Wang; Muhammad Ali Elahi; Hongmin Cai; Lichao Sun 001; Quanzheng Li; Xiang Li 001; et al. (CoRR, 2024)

I Think, Therefore I am: Awareness in Large Language Models. - Yuan Li 032; Yue Huang 001; Yuli Lin; Siyuan Wu 001; Yao Wan 001; Lichao Sun 001 (CoRR, 2024)

Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. - Yuqing Liu 003; Yu Wang 158; Lichao Sun 001; Philip S. Yu (CoRR, 2024)

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. - Jinhao Duan; Renming Zhang; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Elias Stengel-Eskin; Mohit Bansal; Tianlong Chen 001; Kaidi Xu (CoRR, 2024)

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. - Yixin Liu 002; Kai Zhang 039; Yuan Li 032; Zhiling Yan; Chujie Gao; Ruoxi Chen; Zhengqing Yuan; Yue Huang 001; Hanchi Sun; Jianfeng Gao 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. - Weixiang Sun; Yixin Liu 002; Zhiling Yan; Kaidi Xu; Lichao Sun 001 (CoRR, 2024)

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. - Zhengqing Yuan; Ruoxi Chen; Zhaoxu Li; Haolong Jia; Lifang He 001; Chi Wang; Lichao Sun 001 (CoRR, 2024)

Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. - Yao Wan 001; Guanghua Wan; Shijie Zhang; Hongyu Zhang 002; Pan Zhou 001; Hai Jin 001; Lichao Sun 001 (CoRR, 2024)

Variational Bayes for Federated Continual Learning. - Dezhong Yao 002; Sanmu Li; Yutong Dai 002; Zhiqiang Xu 003; Shengshan Hu; Peilin Zhao; Lichao Sun 001 (CoRR, 2024)

The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. - Chujie Gao; Qihui Zhang; Dongping Chen; Yue Huang 001; Siyuan Wu 001; Zhengyan Fu; Yao Wan 001; Xiangliang Zhang 001; Lichao Sun 001 (CoRR, 2024)

GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Liuyi Chen; Yilin Bai; Zhigang He; Chenlong Wang; Huichi Zhou; Yiqiang Li; Tianshuo Zhou; Yue Yu; et al. (CoRR, 2024)

ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. - Yue Huang 001; Jingyu Tang; Dongping Chen; Bingda Tang; Yao Wan 001; Lichao Sun 001; Xiangliang Zhang 001 (CoRR, 2024)

1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? - Yue Huang 001; Chenrui Fan; Yuan Li 032; Siyuan Wu 001; Tianyi Zhou 001; Xiangliang Zhang 001; Lichao Sun 001 (CoRR, 2024)

Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. - Yuan Li 032; Yue Huang 001; Hongyi Wang 001; Xiangliang Zhang 001; James Zou 001; Lichao Sun 001 (CoRR, 2024)

ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. - Zhengqing Yuan; Rong Zhou; Hongyi Wang 001; Lifang He 001; Yanfang Ye 001; Lichao Sun 001 (CoRR, 2024)

Investigating and Defending Shortcut Learning in Personalized Diffusion Models. - Yixin Liu 002; Ruoxi Chen; Lichao Sun 001 (CoRR, 2024)

UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. - Siyuan Wu 001; Yue Huang 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Xiangliang Zhang 001; Jianfeng Gao 001; Chaowei Xiao; Lichao Sun 001 (CoRR, 2024)

Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection. - Yuqi Zhou; Lin Lu; Hanchi Sun; Pan Zhou 001; Lichao Sun 001 (CoRR, 2024)

Self-Cognition in Large Language Models: An Exploratory Study. - Dongping Chen; Jiawen Shi; Yao Wan 001; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CoRR, 2024)

Bora: Biomedical Generalist Video Generation Model. - Weixiang Sun; Xiaocao You; Ruizhe Zheng; Zhengqing Yuan; Xiang Li 001; Lifang He 001; Quanzheng Li; Lichao Sun 001 (CoRR, 2024)

Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. - Zhiling Yan; Weixiang Sun; Rong Zhou; Zhengqing Yuan; Kai Zhang 039; Yiwei Li 002; Tianming Liu 001; Quanzheng Li; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. - Jifeng Hu; Li Shen 008; Sili Huang; Zhejian Yang; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2024)

TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. - Rong Zhou; Zhengqing Yuan; Zhiling Yan; Weixiang Sun; Kai Zhang 039; Yiwei Li 002; Yanfang Ye 001; Xiang Li 001; Lifang He 001; Lichao Sun 001 (CoRR, 2024)

Evaluation of OpenAI o1: Opportunities and Challenges of AGI. - Tianyang Zhong; Zhengliang Liu; Yi Pan 001; Yutong Zhang; Yifan Zhou; Shizhe Liang; Zihao Wu 001; Yanjun Lyu; Peng Shu; Xiaowei Yu; Chao Cao; Hanqi Jiang; et al. (CoRR, 2024)

Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. - Yixin Liu 002; Arielle Carr; Lichao Sun 001 (CoRR, 2024)

BenTo: Benchmark Task Reduction with In-Context Transferability. - Hongyu Zhao; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (CoRR, 2024)

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. - Jifeng Hu; Sili Huang; Li Shen 008; Zhejian Yang; Shengchao Hu; Shisong Tang; Hechang Chen; Yi Chang 001; Dacheng Tao; Lichao Sun 001 (CoRR, 2024)

Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? - Yue Huang 001; Zhengqing Yuan; Yujun Zhou 002; Kehan Guo; Xiangqi Wang; Haomin Zhuang; Weixiang Sun; Lichao Sun 001; Jindong Wang 001; Yanfang Ye 001; Xiangliang Zhang 001 (CoRR, 2024)

Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination. - Haojie Zheng; Tianyang Xu; Hanchi Sun; Shu Pu; Ruoxi Chen; Lichao Sun 001 (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. - Jiayi Tong; Yishan Shen; Alice Xu; Xing He 003; Chongliang Luo; Mackenzie J. Edmondson; Dazheng Zhang; Yiwen Lu; Chao Yan 004; Ruowang Li; Lianne Siegel; Lichao Sun 001; et al. (J. Am. Medical Informatics Assoc., 2024)

PyGOD: A Python Library for Graph Outlier Detection. - Kay Liu; Yingtong Dou; Xueying Ding; Xiyang Hu; Ruitong Zhang; Hao Peng 001; Lichao Sun 001; Philip S. Yu (J. Mach. Learn. Res., 2024)

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. - Cheng Chen 013; Juzheng Miao; Dufan Wu; Aoxiao Zhong; Zhiling Yan; Sekeun Kim; Jiang Hu; Zhengliang Liu; Lichao Sun 001; Xiang Li 001; Tianming Liu 001; Pheng-Ann Heng; et al. (Medical Image Anal., 2024)

Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. - Hongsheng Hu; Xuyun Zhang; Zoran Salcic; Lichao Sun 001; Kim-Kwang Raymond Choo; Gillian Dobbie (IEEE Trans. Dependable Secur. Comput., 2024)

FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. - Dezhong Yao 002; Wanning Pan; Yutong Dai 002; Yao Wan 001; Xiaofeng Ding 001; Chen Yu 003; Hai Jin 001; Zheng Xu 002; Lichao Sun 001 (IEEE Trans. Computers, 2024)

Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. - Yiming Hei; Renyu Yang; Hao Peng 001; Lihong Wang; Xiaolin Xu; Jianwei Liu 001; Hong Liu 006; Jie Xu 007; Lichao Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Privacy and Robustness in Federated Learning: Attacks and Defenses. - Lingjuan Lyu; Han Yu 001; Xingjun Ma; Chen Chen 043; Lichao Sun 001; Jun Zhao 007; Qiang Yang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement. - Zixiang Wei; Yiting Wang; Lichao Sun 001; Athanasios V. Vasilakos; Lin Wang 025 (IEEE Trans. Artif. Intell., 2024)

Decentralized Federated Learning: A Survey and Perspective. - Liangqi Yuan; Ziran Wang; Lichao Sun 001; Philip S. Yu; Christopher G. Brinton (IEEE Internet Things J., 2024)

DiffusionShield: A Watermark for Data Copyright Protection against Generative Diffusion Models. - Yingqian Cui; Jie Ren 019; Han Xu 002; Pengfei He; Hui Liu 031; Lichao Sun 001; Yue Xing 002; Jiliang Tang (SIGKDD Explor., 2024)

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. - Yao Su 003; Keqi Han; Mingjie Zeng; Lichao Sun 001; Liang Zhan; Carl Yang 001; Lifang He 001; Xiangnan Kong (AAAI Spring Symposia, 2025)

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models. - Zenghui Yuan; Yangming Xu; Jiawen Shi; Pan Zhou 001; Lichao Sun 001 (ACL (1), 2025)

BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models. - Zenghui Yuan; Jiawen Shi; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CVPR, 2025)

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding. - Dongping Chen; Yue Huang 001; Siyuan Wu 001; Jingyu Tang; Huichi Zhou; Qihui Zhang; Zhigang He; Yilin Bai; Chujie Gao; Liuyi Chen; Yiqiang Li; Chenlong Wang; et al. (ICLR, 2025)

DataGen: Unified Synthetic Dataset Generation via Large Language Models. - Yue Huang 001; Siyuan Wu 001; Chujie Gao; Dongping Chen; Qihui Zhang; Yao Wan 001; Tianyi Zhou 001; Chaowei Xiao; Jianfeng Gao 001; Lichao Sun 001; Xiangliang Zhang 001 (ICLR, 2025)

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. - Yingzi Ma; Jiongxiao Wang; Fei Wang 060; Siyuan Ma; Jiazhao Li; Jinsheng Pan; Xiujun Li; Furong Huang; Lichao Sun 001; Bo Li 026; Yejin Choi 001; Muhao Chen 001; et al. (ICLR, 2025)

BenTo: Benchmark Reduction with In-Context Transferability. - Hongyu Zhao; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (ICLR, 2025)

FinLLM-B: When Large Language Models Meet Financial Breakout Trading. - Kang Zhang; Osamu Yoshie; Lichao Sun 001; Weiran Huang 001 (NAACL (Industry Track), 2025)

Harmonycloak: Making Music Unlearnable for Generative AI. - Syed Irfan Ali Meerza; Lichao Sun 001; Jian Liu 001 (SP, 2025)

MetaAgents: Large Language Model Based Agents for Decision-Making on Teaming. - Yuan Li 032; Lichao Sun 001; Yixuan Zhang 001 (Proc. ACM Hum. Comput. Interact., 2025)

Secure Embedding Aggregation for Cross-Silo Federated Representation Learning. - Songze Li; Jiaxiang Tang; Jinbao Zhu; Kai Zhang 039; Lichao Sun 001; Changyu Dong (IEEE Trans. Inf. Forensics Secur., 2025)

CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries. - Shudong Liu 004; Yiqiao Jin; Cheng Li; Derek F. Wong; Qingsong Wen; Lichao Sun 001; Haipeng Chen 001; Xing Xie 001; Jindong Wang 001 (CoRR, 2025)

From Correctness to Comprehension: AI Agents for Personalized Error Diagnosis in Education. - Yifan Zhang 004; Hang Li 007; Dingjie Song; Lichao Sun 001; Tianlong Xu; Qingsong Wen (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

A Survey on Post-training of Large Language Models. - Guiyao Tie; Zeli Zhao; Dingjie Song; Fuyang Wei; Rong Zhou; Yurou Dai; Wen Yin; Zhejian Yang; Jiangyue Yan; Yao Su 003; Zhenhan Dai; Yifeng Xie; et al. (CoRR, 2025)

Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation. - Yinuo Liu; Zenghui Yuan; Guiyao Tie; Jiawen Shi; Pan Zhou 001; Lichao Sun 001; Neil Zhenqiang Gong (CoRR, 2025)

TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention. - Jinhao Duan; Fei Kong; Hao Cheng 015; James Diffenderfer; Bhavya Kailkhura; Lichao Sun 001; Xiaofeng Zhu 001; Xiaoshuang Shi; Kaidi Xu (CoRR, 2025)

Large Reasoning Models in Agent Scenarios: Exploring the Necessity of Reasoning Capabilities. - Xueyang Zhou; Guiyao Tie; Guowen Zhang; Weidong Wang; Zhigang Zuo; Di Wu; Duanfeng Chu; Pan Zhou 001; Lichao Sun 001; Neil Zhenqiang Gong (CoRR, 2025)

Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Hongchao Fang; Yixin Liu 002; Jiangshu Du; Can Qin; Ran Xu 001; Feng Liu; Lichao Sun 001; Dongwon Lee; Lifu Huang; Wenpeng Yin 001 (CoRR, 2025)

Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill? - Chenrui Fan; Ming Li; Lichao Sun 001; Tianyi Zhou 001 (CoRR, 2025)

NodeRAG: Structuring Graph-based RAG with Heterogeneous Nodes. - Tianyang Xu; Haojie Zheng; Chengze Li; Haoxiang Chen 010; Yixin Liu 002; Ruoxi Chen; Lichao Sun 001 (CoRR, 2025)

Prompt Injection Attack to Tool Selection in LLM Agents. - Jiawen Shi; Zenghui Yuan; Guiyao Tie; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CoRR, 2025)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning. - Jifeng Hu; Sili Huang; Zhejian Yang; Shengchao Hu; Li Shen 008; Hechang Chen; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

EfficientLLM: Efficiency in Large Language Models. - Zhengqing Yuan; Weixiang Sun; Yixin Liu 002; Huichi Zhou; Rong Zhou; Yiyang Li; Zheyuan Zhang; Wei Song; Yue Huang; Haolong Jia; Keerthiram Murugesan; Yu Wang; et al. (CoRR, 2025)

MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks. - Guiyao Tie; Xueyang Zhou; Tianhe Gu; Ruihang Zhang; Chaoran Hu; Sizhe Zhang; Mengqu Sun; Yan Zhang; Pan Zhou 001; Lichao Sun 001 (CoRR, 2025)

BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization. - Xueyang Zhou; Guiyao Tie; Guowen Zhang; Hechang Wang; Pan Zhou 001; Lichao Sun 001 (CoRR, 2025)

Automating Safety Enhancement for LLM-based Agents with Synthetic Risk Scenarios. - Xueyang Zhou; Weidong Wang; Lin Lu; Jiawen Shi; Guiyao Tie; Yongtian Xu; Lixing Chen; Pan Zhou 001; Neil Zhenqiang Gong; Lichao Sun 001 (CoRR, 2025)

Decision Flow Policy Optimization. - Jifeng Hu; Sili Huang; Siyuan Guo; Zhaogeng Liu; Li Shen 008; Lichao Sun 001; Hechang Chen; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start. - Lai Wei 005; Yuting Li; Kaipeng Zheng; Chen Wang; Yue Wang; Linghe Kong; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO. - Lai Wei 005; Yuting Li; Chen Wang; Yue Wang; Linghe Kong; Weiran Huang 001; Lichao Sun 001 (CoRR, 2025)

Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents. - Zhejian Yang; Yongchao Chen; Xueyang Zhou; Jiangyue Yan; Dingjie Song; Yinuo Liu; Yuting Li; Yu Zhang 044; Pan Zhou 001; Hechang Chen; Lichao Sun 001 (CoRR, 2025)

A Survey of AI-Generated Content (AIGC). - Yihan Cao; Siyu Li; Yixin Liu 002; Zhiling Yan; Yutong Dai 002; Philip S. Yu; Lichao Sun 001 (ACM Comput. Surv., 2025)

Towards Stable and Explainable Attention Mechanisms. - Lijie Hu; Xinhai Wang; Yixin Liu 002; Ninghao Liu; Mengdi Huai; Lichao Sun 001; Di Wang 015 (IEEE Trans. Knowl. Data Eng., 2025)

Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO. - Sili Huang; Hechang Chen; Haiyin Piao; Zhixiao Sun; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vision Matters: Simple Visual Perturbations Can Boost Multimodal Math Reasoning. - Yuting Li; Lai Wei 005; Kaipeng Zheng; Jingyuan Huang; Linghe Kong; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols. - Longzhu He; Chaozhuo Li; Peng Tang; Lichao Sun 001; Sen Su; Philip S. Yu (CoRR, 2025)

RadFabric: Agentic AI System with Reasoning Capability for Radiology. - Wenting Chen; Yi Dong; Zhaojun Ding; Yucheng Shi; Yifan Zhou; Fang Zeng; Yijun Luo; Tianyu Lin; Yihang Su; Yichen Wu; Kai Zhang 039; Zhen Xiang; et al. (CoRR, 2025)

Improved Iterative Refinement for Chart-to-Code Generation via Structured Instruction. - Chengzhi Xu; Yuyang Wang; Lai Wei 005; Lichao Sun 001; Weiran Huang 001 (CoRR, 2025)

Graph Foundation Models: Concepts, Opportunities and Challenges. - Jiawei Liu 006; Cheng Yang 002; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

AugGPT: Leveraging ChatGPT for Text Data Augmentation. - Haixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu 001; Lin Zhao 004; Shaochen Xu; Fang Zeng; Wei Liu 146; Ninghao Liu; Sheng Li 001; et al. (IEEE Trans. Big Data, 2025)

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model. - Zhiling Yan; Sifan Song; Dingjie Song; Yiwei Li 002; Rong Zhou; Weixiang Sun; Zhennong Chen; Sekeun Kim; Hui Ren 001; Tianming Liu 001; Quanzheng Li; Xiang Li 001; et al. (CoRR, 2025)

Generalizable Causal Reinforcement Learning for Out-of-Distribution Environments. - Sili Huang; Jifeng Hu; Hechang Chen; Peng Cui 001; Haiyin Piao; Lichao Sun 001; Bo Yang 002 (IEEE Trans. Ind. Informatics, 2025)