Jin, Hai

36 publications

ICML 2025 CodeSync: Synchronizing Large Language Models with Dynamic Code Evolution at Scale Chenlong Wang, Zhaoyang Chu, Zhengxiang Cheng, Xuyi Yang, Kaiyue Qiu, Yao Wan, Zhou Zhao, Xuanhua Shi, Hai Jin, Dongping Chen

ICML 2025 Dataflow-Guided Neuro-Symbolic Language Models for Type Inference Gen Li, Yao Wan, Hongyu Zhang, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Zheng Wang

AAAI 2025 Multi-Turn Jailbreaking Large Language Models via Attention Shifting Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi

AAAI 2025 NaFV-Net: An Adversarial Four-View Network for Mammogram Classification Feng Lu, Yuxiang Hou, Wei Li, Xiangying Yang, Haibo Zheng, Wenxi Luo, Leqing Chen, Yuyang Cao, Xiaofei Liao, Yu Zhang, Fan Yang, Albert Y. Zomaya, Hai Jin

AAAI 2025 NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Ziqi Zhou, Bowen Li, Yufei Song, Zhifei Yu, Shengshan Hu, Wei Wan, Leo Yu Zhang, Dezhong Yao, Hai Jin

NeurIPS 2025 Sim-LLM: Optimizing LLM Inference at the Edge Through Inter-Task KV Reuse Ruikun Luo, Changwei Gu, Qiang He, Feifei Chen, Song Wu, Hai Jin, Yun Yang

NeurIPS 2025 Vanish into Thin Air: Cross-Prompt Universal Adversarial Attacks for SAM2 Ziqi Zhou, Yifan Hu, Yufei Song, Zijing Li, Shengshan Hu, Leo Yu Zhang, Dezhong Yao, Long Zheng, Hai Jin

AAAI 2024 An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin

NeurIPS 2024 Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin

IJCAI 2024 CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu

NeurIPS 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin

ICML 2024 Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models Bai Xiaofan, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Hai Jin

NeurIPS 2024 Unlearnable 3D Point Clouds: Class-Wise Transformation Is All You Need Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin

AAAI 2023 A Composite Multi-Attention Framework for Intraoperative Hypotension Early Warning Feng Lu, Wei Li, Zhiqiang Zhou, Cheng Song, Yifei Sun, Yuwei Zhang, Yufei Ren, Xiaofei Liao, Hai Jin, Ailin Luo, Albert Y. Zomaya

AAAI 2023 AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection (Student Abstract) Haoyang Chen, Shuai Liu, Feng Lu, Wei Li, Bin Sheng, Mi Li, Hai Jin, Albert Y. Zomaya

NeurIPS 2023 Cross-Links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin

CVPR 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency Xiaogeng Liu, Minghui Li, Haoyu Wang, Shengshan Hu, Dengpan Ye, Hai Jin, Libing Wu, Chaowei Xiao

ICCV 2023 Downstream-Agnostic Adversarial Examples Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin

AAAI 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) Yifei Sun, Cheng Song, Feng Lu, Wei Li, Hai Jin, Albert Y. Zomaya

ECML-PKDD 2023 Exploring Word-Sememe Graph-Centric Chinese Antonym Detection Zhaobo Zhang, Pingpeng Yuan, Hai Jin

IJCAI 2023 Incremental and Decremental Optimal Margin Distribution Learning Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin

AAAI 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun

IJCAI 2023 Scalable Optimal Margin Distribution Machine Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin

ECML-PKDD 2022 Enhance Temporal Knowledge Graph Completion via Time-Aware Attention Graph Convolutional Network HaoHui Wei, Hong Huang, Teng Zhang, Xuanhua Shi, Hai Jin

IJCAI 2022 Posistive-Unlabeled Learning via Optimal Transport and Margin Distribution Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin

CVPR 2022 Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-Robust Makeup Transfer Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu

IJCAI 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin, Yuanyuan He

IJCAI 2021 Partial Multi-Label Optimal Margin Distribution Machine Nan Cao, Teng Zhang, Hai Jin

IJCAI 2021 Temporal Heterogeneous Information Network Embedding Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu

IJCAI 2020 Motif-Preserving Temporal Network Embedding Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin

AAAI 2020 Optimal Margin Distribution Learning in Dynamic Environments Teng Zhang, Peng Zhao, Hai Jin

IJCAI 2020 Optimal Margin Distribution Machine for Multi-Instance Learning Teng Zhang, Hai Jin

ICCV 2011 Multi-Class Semi-Supervised SVMs with Positiveness Exclusive Regularization Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin

CVPR 2011 Segment an Image by Looking into an Image Corpus Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, Hai Jin

CVPR 2010 Nonparametric Label-to-Region by Search Xiaobai Liu, Shuicheng Yan, Jiebo Luo, Jinhui Tang, ZhongYang Huang, Hai Jin

CVPR 2009 Trajectory Parsing by Cluster Sampling in Spatio-Temporal Graph Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin