Haibo Jin

According to our database, Haibo Jin authored at least 47 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Large Language Model With Region-Guided Referring and Grounding for CT Report Generation.

Zhi-Xuan Chen, Yequan Bie, Haibo Jin, Hao Chen

IEEE Trans. Medical Imaging, August, 2025

A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.

Haibo Jin, Haoxuan Che, Sunan He, Hao Chen

CoRR, August, 2025

GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing.

Peiyan Zhang, Haibo Jin, Liying Kang, Haohan Wang

CoRR, July, 2025

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.

Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen

CoRR, June, 2025

InfoFlood: Jailbreaking Large Language Models with Information Overload.

Advait Yadav, Haibo Jin, Man Luo, Jun Zhuang, Haohan Wang

CoRR, June, 2025

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models.

Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang

CoRR, May, 2025

Reasoning Can Hurt the Inductive Abilities of Large Language Models.

Haibo Jin, Peiyan Zhang, Man Luo, Haohan Wang

CoRR, May, 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, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.

Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen

CoRR, January, 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

Image Steganography With Dual Strategies: Defense and Attack.

Zhecong Ren, Wei Guo, Chang Lin, Haibo Jin, Haicheng Qu

IEEE Signal Process. Lett., 2025

Joint optimization of spare parts inventory and maintenance for wind turbine systems.

Haibo Jin, Huawei Li, Jiayu Bi, Mengjiao Li

Expert Syst. Appl., 2025

2024

AdvCheck: Characterizing adversarial examples via local gradient checking.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng, Shilian Zheng, Xiaoniu Yang, Xing Yang

Comput. Secur., January, 2024

Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.

Haibo Jin, Haoxuan Che, Hao Chen

IEEE Trans. Image Process., 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

Large Language Model with Region-guided Referring and Grounding for CT Report Generation.

Zhixuan Chen, Yequan Bie, Haibo Jin, Hao Chen

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

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

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

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

Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.

Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing.

Haibo Jin, Ruoxi Chen, Jinyin Chen, Haibin Zheng, Yang Zhang, Haohan Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.

Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun

Proceedings of the Computer Vision - ECCV 2024, 2024

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.

Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Optimal maintenance strategy for large-scale production systems under maintenance time uncertainty.

Haibo Jin, Xianhe Song, Hao Xia

Reliab. Eng. Syst. Saf., December, 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, Tieming Chen, Xianglong Liu

Inf. Sci., August, 2023

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Lichao Sun

CoRR, 2023

AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking.

Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng

CoRR, 2023

TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins.

Ming Xu, Yunyi Ma, Ruimin Li, Geqi Qi, Xiangfu Meng, Haibo Jin

CoRR, 2023

Unsupervised Domain Adaptation for Anatomical Landmark Detection.

Haibo Jin, Haoxuan Che, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.

Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space.

Haibin Zheng, Jinyin Chen, Haibo Jin

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Safety helmet wearing detection algorithm based on lightweight FastestDet.

Haibo Jin, Fei Yuan

Proceedings of the 2023 7th International Conference on Video and Image Processing, 2023

2022

ROBY: Evaluating the adversarial robustness of a deep model by its decision boundaries.

Haibo Jin, Jinyin Chen, Haibin Zheng, Zhen Wang, Jun Xiao, Shanqing Yu, Zhaoyan Ming

Inf. Sci., 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng

CoRR, 2022

Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.

Haoxuan Che, Haibo Jin, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.

Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild.

Haibo Jin, Shengcai Liao, Ling Shao

Int. J. Comput. Vis., 2021

When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model.

Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao

CoRR, 2021

2020

Weakly Secure Coded Caching Scheme for an Eavesdropper Having Prior Knowledge.

Nan Wang, Hai Zhao, Haibo Jin, Long Hai

IEEE Access, 2020

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

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

Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019

Learning Lightweight Face Detector with Knowledge Distillation.

Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei, Stan Z. Li

Proceedings of the 2019 International Conference on Biometrics, 2019

2017

Deep Person Re-Identification with Improved Embedding.

Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li

CoRR, 2017

Deep person re-identification with improved embedding and efficient training.

Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2014

An Adaptable (n, n) Secret Image Sharing Mechanism Based on Boolean Operation.

Zhi-Hui Wang, Haibo Jin, Xuebo Wang, Chin-Chen Chang

Int. J. Netw. Secur., 2014

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