Sun, Jun

28 publications

NeurIPS 2025 BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun

ICML 2025 CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

ICLR 2025 Democratic Training Against Universal Adversarial Perturbations Bing Sun, Jun Sun, Wei Zhao

IJCAI 2025 Evaluating and Mitigating Linguistic Discrimination in Large Language Models: Perspectives on Safety Equity and Knowledge Equity Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang

ICML 2025 LLMScan: Causal Scan for LLM Misbehavior Detection Mengdi Zhang, Goh Kai Kiat, Peixin Zhang, Jun Sun, Lin Xin Rose, Hongyu Zhang

ICML 2025 Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods Yedi Zhang, Yufan Cai, Xinyue Zuo, Xiaokun Luan, Kailong Wang, Zhe Hou, Yifan Zhang, Zhiyuan Wei, Meng Sun, Jun Sun, Jing Sun, Jin Song Dong

AAAI 2025 Training Verification-Friendly Neural Networks via Neuron Behavior Consistency Zongxin Liu, Zhe Zhao, Fu Song, Jun Sun, Pengfei Yang, Xiaowei Huang, Lijun Zhang

AAAI 2025 Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation PeiYuan Tang, Xiaodong Zhang, Chunze Yang, Haoran Yuan, Jun Sun, Danfeng Shan, Zijiang James Yang

NeurIPS 2024 ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-Based Evaluation Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua

NeurIPS 2024 Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

NeurIPS 2024 How Sparse Can We Prune a Deep Network: A Fundamental Limit Perspective Qiaozhe Zhang, Ruijie Zhang, Jun Sun, Yingzhuang Liu

AAAI 2024 Multi-Region Text-Driven Manipulation of Diffusion Imagery Yiming Li, Peng Zhou, Jun Sun, Yi Xu

AAAI 2024 RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates Jun Sun, Xinxin Zhang, Shoukang Han, Yu-Ping Ruan, Taihao Li

CVPR 2023 Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection Xincheng Yao, Ruoqi Li, Jing Zhang, Jun Sun, Chongyang Zhang

AAAI 2023 One-for-All: Proposal Masked Cross-Class Anomaly Detection Xincheng Yao, Chongyang Zhang, Ruoqi Li, Jun Sun, Zhenyu Liu

IJCAI 2022 Learning Unforgotten Domain-Invariant Representations for Online Unsupervised Domain Adaptation Cheng Feng, Chaoliang Zhong, Jie Wang, Ying Zhang, Jun Sun, Yasuto Yokota

CVPR 2022 No-Reference Point Cloud Quality Assessment via Domain Adaptation Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun

WACV 2022 PICA: Point-Wise Instance and Centroid Alignment Based Few-Shot Domain Adaptive Object Detection with Loose Annotations Chaoliang Zhong, Jie Wang, Cheng Feng, Ying Zhang, Jun Sun, Yasuto Yokota

AAAI 2020 CircleNet for Hip Landmark Detection Hai Wu, Hongtao Xie, Chuanbin Liu, Zheng-Jun Zha, Jun Sun, Yongdong Zhang

AISTATS 2020 Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation Jun Sun, Gang Wang, Georgios B. Giannakis, Qinmin Yang, Zaiyue Yang

NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun, Tianyi Chen, Georgios Giannakis, Zaiyue Yang

AAAI 2019 Safeguarded Dynamic Label Regression for Noisy Supervision Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun

ACML 2018 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu

MLJ 2015 Random Drift Particle Swarm Optimization Algorithm: Convergence Analysis and Parameter Selection Jun Sun, Xiaojun Wu, Vasile Palade, Wei Fang, Yuhui Shi

AAAI 2011 Tree Sequence Kernel for Natural Language Jun Sun, Min Zhang, Chew Lim Tan

ECML-PKDD 2008 Clustering via Local Regression Jun Sun, Zhiyong Shen, Hui Li, Yi-Dong Shen

ICML 2006 A Duality View of Spectral Methods for Dimensionality Reduction Lin Xiao, Jun Sun, Stephen P. Boyd

CVPRW 2003 Text Processing Method for E-Learning Videos Jun Sun, Yukata Katsuyama, Satoshi Naoi