Lichao Sun

ORCID

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 102

Top Venues

Publications

Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. CoRR (2024)
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl J. Yang
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR (2024)
Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. CoRR (2024)
Yixin Liu, Ruoxi Chen, Lichao Sun
Investigating and Defending Shortcut Learning in Personalized Diffusion Models. CoRR (2024)
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
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD (2024)
Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Pan Zhou, Yao Wan, Lichao Sun
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. CoRR (2024)
Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong
Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CoRR (2024)
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. CoRR (2024)
Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun
Bora: Biomedical Generalist Video Generation Model. CoRR (2024)
Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun
: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73 (1) (2024)
Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree Aithal, Nikhil Ambha Madhusudhana, John Nicholson, Lichao Sun, Brian D. Davison
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement. CoRR (2024)
Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) (2024)
Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR (2024)
Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT (2024)
Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. CoRR (2024)
Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR (2024)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) (2024)
Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun
Variational Bayes for Federated Continual Learning. CoRR (2024)
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
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. CoRR (2024)
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR (2024)
Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium (2024)
Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun
I Think, Therefore I am: Awareness in Large Language Models. CoRR (2024)
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
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) (2024)
Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Yulei Sui, Pan Zhou, Lichao Sun
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. CoRR (2024)
Yuqi Zhou, Lin Lu, Hanchi Sun, Pan Zhou, Lichao Sun
Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection. CoRR (2024)
Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR (2024)
Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM (2024)
Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR (2024)
Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World. CoRR (2024)
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR (2024)
Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. CoRR (2024)
Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. CoRR (2024)
Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. AAAI (2024)
Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR (2024)
Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun
Self-Cognition in Large Language Models: An Exploratory Study. CoRR (2024)
Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. AAAI (2024)
Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR (2024)
Chujie Gao, Dongping Chen, Qihui Zhang, Yue Huang, Yao Wan, Lichao Sun
LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase. CoRR (2024)
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI (2023)
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
Scalable Fair Influence Maximization. NeurIPS (2023)
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR (2023)
Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI (2023)
Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun
Watermarking Text Data on Large Language Models for Dataset Copyright Protection. CoRR (2023)
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR (2023)
Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. CIKM (2023)
Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John Nicholson, Brian D. Davison
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts. CoRR (2023)
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. ICCV (2023)
Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun
Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR (2023)
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
PASS: Personalized Advertiser-aware Sponsored Search. KDD (2023)
Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. IEEE Trans. Parallel Distributed Syst. 34 (2) (2023)
Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. CoRR (2023)
Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun
Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data 17 (6) (2023)
Zhiling Yan, Kai Zhang, Rong Zhou, Lifang He, Xiang Li, Lichao Sun
Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. CoRR (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
SEAT: Stable and Explainable Attention. AAAI (2023)
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
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS (2023)
Yihan Cao, Yanbin Kang, Lichao Sun
Instruction Mining: High-Quality Instruction Data Selection for Large Language Models. CoRR (2023)
Kaipeng Zheng, Weiran Huang, Lichao Sun
Efficient Few-Shot Clinical Task Adaptation with Large Language Models. CoRR (2023)
Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang
Improving Faithfulness for Vision Transformers. CoRR (2023)
Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. CoRR (2023)
Chengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun
An in-depth study on key nodes in social networks. Intell. Data Anal. 27 (6) (2023)
Lai Wei, Zihao Jiang, Weiran Huang, Lichao Sun
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4. CoRR (2023)
Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. SIGIR (2023)
Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR (2023)
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. AAAI (2023)
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
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR (2023)
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
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR (2023)
Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. CoRR (2023)
Lichao Sun, Xiaobin Rui, Wei Chen
Scalable Adversarial Attack Algorithms on Influence Maximization. WSDM (2023)
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
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR (2023)
Jianfeng Lu, Haibo Liu, Riheng Jia, Jiangtao Wang, Lichao Sun, Shaohua Wan
Toward Personalized Federated Learning Via Group Collaboration in IIoT. IEEE Trans. Ind. Informatics 19 (8) (2023)
Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun
Memory-adaptive Depth-wise Heterogenous Federated Learning. CoRR (2023)
Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. CoRR (2023)
Yuan Li, Yixuan Zhang, Lichao Sun
MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents. CoRR (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR (2023)
Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. CoRR (2023)
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. CoRR (2023)
Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. CoRR (2023)
Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. ICLR (2023)
Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
Transferable Unlearnable Examples. ICLR (2023)
Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. CoRR (2023)
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
Towards Graph Foundation Models: A Survey and Beyond. CoRR (2023)
Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. CoRR (2023)
Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun
Secure Embedding Aggregation for Federated Representation Learning. ISIT (2023)
Liangqi Yuan, Lichao Sun, Philip S. Yu, Ziran Wang
Decentralized Federated Learning: A Survey and Perspective. CoRR (2023)
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR (2023)
Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. CoRR (2023)
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
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR (2023)
Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Lichao Sun, Yuanxiu Cai, Shanshan Song, Jiangyun Li
FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation. CoRR (2023)
Yue Huang, Qihui Zhang, Philip S. Yu, Lichao Sun
TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. CoRR (2023)
Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen
Scalable Fair Influence Maximization. CoRR (2023)
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
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR (2023)
Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW (2023)
Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. CoRR (2022)
Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. EMNLP (Findings) (2022)
Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) (2022)
Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54 (11s) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lichao Sun