A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory. - Chongquan Zhong; Haibo Jin (Eur. J. Oper. Res., 2014)

An Adaptable (n, n) Secret Image Sharing Mechanism Based on Boolean Operation. - Zhi-Hui Wang 001; Haibo Jin; Xuebo Wang; Chin-Chen Chang 001 (Int. J. Netw. Secur., 2014)

Deep person re-identification with improved embedding and efficient training. - Haibo Jin; Xiaobo Wang 001; Shengcai Liao; Stan Z. Li (IJCB, 2017)

Deep Person Re-Identification with Improved Embedding. - Haibo Jin; Xiaobo Wang 001; Shengcai Liao; Stan Z. Li (CoRR, 2017)

Learning Lightweight Face Detector with Knowledge Distillation. - Haibo Jin; Shifeng Zhang; Xiangyu Zhu 001; Yinhang Tang; Zhen Lei 001; Stan Z. Li (ICB, 2019)

Non-Subsampled Shearlet Transform Based Seismic Data Denoising via Proximal Classifier with Consistency. - Yu Sang; Jinguang Sun; Xiangfu Meng; Haibo Jin; Yanfei Peng; Xinjun Zhang (SmartIoT, 2019)

Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain. - Yu Sang; Jinguang Sun; Xiangfu Meng; Haibo Jin; Yanfei Peng; Xinjun Zhang (IEEE Access, 2020)

Weakly Secure Coded Caching Scheme for an Eavesdropper Having Prior Knowledge. - Nan Wang; Hai Zhao 002; Haibo Jin; Long Hai (IEEE Access, 2020)

When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model. - Haibo Jin; Jinpeng Li 004; Shengcai Liao; Ling Shao 001 (CoRR, 2021)

Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild. - Haibo Jin; Shengcai Liao; Ling Shao 001 (Int. J. Comput. Vis., 2021)

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection. - Jinpeng Li 004; Haibo Jin; Shengcai Liao; Ling Shao 001; Pheng-Ann Heng (IJCAI, 2022)

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement. - Haoxuan Che; Haibo Jin; Hao Chen 011 (MICCAI (3), 2022)

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. - Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Zhenguang Liu; Qi Xuan 001; Yue Yu 001; Yao Cheng (CoRR, 2022)

ROBY: Evaluating the adversarial robustness of a deep model by its decision boundaries. - Haibo Jin; Jinyin Chen; Haibin Zheng; Zhen Wang 004; Jun Xiao 001; Shanqing Yu; Zhaoyan Ming (Inf. Sci., 2022)

Safety helmet wearing detection algorithm based on lightweight FastestDet. - Haibo Jin; Fei Yuan (ICVIP, 2023)

CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space. - Haibin Zheng; Jinyin Chen; Haibo Jin (ASE, 2023)

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. - Haoxuan Che; Yuhan Cheng; Haibo Jin; Hao Chen 011 (MICCAI (5), 2023)

Unsupervised Domain Adaptation for Anatomical Landmark Detection. - Haibo Jin; Haoxuan Che; Hao Chen 011 (MICCAI (1), 2023)

TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins. - Ming Xu 008; Yunyi Ma; Ruimin Li; Geqi Qi; Xiangfu Meng; Haibo Jin (CoRR, 2023)

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking. - Ruoxi Chen; Haibo Jin; Jinyin Chen; Haibin Zheng (CoRR, 2023)

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

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons. - Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Yao Cheng; Yue Yu 001; Tieming Chen; Xianglong Liu 001 (Inf. Sci., 2023)

Optimal maintenance strategy for large-scale production systems under maintenance time uncertainty. - Haibo Jin; Xianhe Song; Hao Xia (Reliab. Eng. Syst. Saf., 2023)

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. - Haibo Jin; Haoxuan Che; Yi Lin 009; Hao Chen 011 (AAAI, 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)

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing. - Haibo Jin; Ruoxi Chen; Jinyin Chen; Haibin Zheng; Yang Zhang; Haohan Wang (ECCV (47), 2024)

Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters. - Haibo Jin; Andy Zhou; Joe D. Menke; Haohan Wang (NeurIPS, 2024)

An optimal selective maintenance policy for multi-state series production systems by considering environment impact. - Haibo Jin; Xianhe Song; Hao Xia; Diawara Faysal Almamy (Comput. Ind. Eng., 2024)

GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models. - Haibo Jin; Ruoxi Chen; Andy Zhou; Jinyin Chen; Yang Zhang; Haohan Wang (CoRR, 2024)

Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. - Tongkun Su; Jun Li; Xi Zhang; Haibo Jin; Hao Chen; Qiong Wang; Faqin Lv; Baoliang Zhao; Yin Hu (CoRR, 2024)

JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models. - Haibo Jin; Leyang Hu; Xinuo Li; Peiyan Zhang; Chonghan Chen; Jun Zhuang; Haohan Wang (CoRR, 2024)

Large Language Model with Region-guided Referring and Grounding for CT Report Generation. - Zhixuan Chen; Yequan Bie; Haibo Jin; Hao Chen 011 (CoRR, 2024)

Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization. - Peiyan Zhang; Haibo Jin; Leyang Hu; Xinnuo Li; Liying Kang; Man Luo; Yangqiu Song; Haohan Wang (CoRR, 2024)

Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach. - Haibo Jin; Haoxuan Che; Hao Chen 011 (IEEE Trans. Image Process., 2024)

AdvCheck: Characterizing adversarial examples via local gradient checking. - Ruoxi Chen; Haibo Jin; Jinyin Chen; Haibin Zheng; Shilian Zheng; Xiaoniu Yang; Xing Yang 004 (Comput. Secur., 2024)

Joint optimization of spare parts inventory and maintenance for wind turbine systems. - Haibo Jin; Huawei Li; Jiayu Bi; Mengjiao Li (Expert Syst. Appl., 2025)

Image Steganography With Dual Strategies: Defense and Attack. - Zhecong Ren; Wei Guo; Chang Lin; Haibo Jin; Haicheng Qu (IEEE Signal Process. Lett., 2025)

Fight Perturbations With Perturbations: Defending Adversarial Attacks via Neuron Influence. - Ruoxi Chen; Haibo Jin; Haibin Zheng; Jinyin Chen; Zhenguang Liu (IEEE Trans. Dependable Secur. Comput., 2025)

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis. - Haoxuan Che; Yifei Wu; Haibo Jin; Yong Xia; Hao Chen 011 (CoRR, 2025)

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Bang Liu; Xinfeng Li; Jiayi Zhang; Jinlin Wang; Tanjin He; Sirui Hong; Hongzhang Liu; Shaokun Zhang; Kaitao Song; Kunlun Zhu; Yuheng Cheng; Suyuchen Wang; et al. (CoRR, 2025)

Reasoning Can Hurt the Inductive Abilities of Large Language Models. - Haibo Jin; Peiyan Zhang; Man Luo; Haohan Wang (CoRR, 2025)

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models. - Haibo Jin; Peiyan Zhang; Peiran Wang; Man Luo; Haohan Wang (CoRR, 2025)

InfoFlood: Jailbreaking Large Language Models with Information Overload. - Advait Yadav; Haibo Jin; Man Luo; Jun Zhuang; Haohan Wang (CoRR, 2025)

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. - Haoxuan Che; Haibo Jin; Zhengrui Guo; Yi Lin 009; Cheng Jin 003; Hao Chen 011 (CoRR, 2025)

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing. - Peiyan Zhang; Haibo Jin; Liying Kang; Haohan Wang (CoRR, 2025)

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation. - Haibo Jin; Haoxuan Che; Sunan He; Hao Chen 011 (CoRR, 2025)

Large Language Model With Region-Guided Referring and Grounding for CT Report Generation. - Zhi-Xuan Chen; Yequan Bie; Haibo Jin; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)