Haibo Jin

67 papers A* 5B 1Journal 52Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems.
CoRR
Haibo Jin, Kuang Peng, Ye Yu, Xiaopeng Yuan, Haohan Wang
2026 J jnl
Controlling Output Rankings in Generative Engines for LLM-based Search.
CoRR
Haibo Jin, Ruoxi Chen, Peiyan Zhang, Yifeng Luo, Huimin Zeng, Man Luo, Haohan Wang
2026 J jnl
DeepChance-OPT: A Robust Decision-Making Framework for Dynamic Grasping in Precision Assembly.
Inf.
Tong Wei, Haibo Jin
2026 J jnl
Geometric Deviation: An Information-Theoretic Health Indicator for Cross-Condition Prognostics.
IEEE Signal Process. Lett.
Haibo Jin, Baokai Zhang
2026 J jnl
LLM-Driven Medical Report Generation via Communication-Efficient Heterogeneous Federated Learning.
IEEE Trans. Medical Imaging
Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen
2026 — conf
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
EACL (Volume 1: Long Papers)
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2026 J jnl
Now You Hear Me: Audio Narrative Attacks Against Large Audio-Language Models.
CoRR
Ye Yu, Haibo Jin, Yaoning Yu, Jun Zhuang, Haohan Wang
2025 J jnl
A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.
CoRR
Haibo Jin, Haoxuan Che, Sunan He, Hao Chen
2025 J jnl
A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.
IEEE Trans. Medical Imaging
Haibo Jin, Haoxuan Che, Sunan He, Hao Chen
2025 J jnl
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.
CoRR
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 T. 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
2025 J jnl
FedDAG: Federated Domain Adversarial Generation Toward Generalizable Medical Image Analysis.
IEEE Trans. Medical Imaging
Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen
2025 J jnl
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.
CoRR
Haoxuan Che, Yifei Wu, Haibo Jin, Yong Xia, Hao Chen
2025 J jnl
Fight Perturbations With Perturbations: Defending Adversarial Attacks via Neuron Influence.
IEEE Trans. Dependable Secur. Comput.
Ruoxi Chen, Haibo Jin, Haibin Zheng, Jinyin Chen, Zhenguang Liu
2025 J jnl
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models.
CoRR
Haibo Jin, Peiyan Zhang, Peiran Wang, Man Luo, Haohan Wang
2025 J jnl
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs.
CoRR
Haibo Jin, Ruoxi Chen, Peiyan Zhang, Andy Zhou, Yang Zhang, Haohan Wang
2025 J jnl
GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing.
CoRR
Peiyan Zhang, Haibo Jin, Liying Kang, Haohan Wang
2025 J jnl
Image Steganography With Dual Strategies: Defense and Attack.
IEEE Signal Process. Lett.
Zhecong Ren, Wei Guo, Chang Lin, Haibo Jin, Haicheng Qu
2025 J jnl
InfoFlood: Jailbreaking Large Language Models with Information Overload.
CoRR
Advait Yadav, Haibo Jin, Man Luo, Jun Zhuang, Haohan Wang
2025 J jnl
Joint optimization of spare parts inventory and maintenance for wind turbine systems.
Expert Syst. Appl.
Haibo Jin, Huawei Li, Jiayu Bi, Mengjiao Li
2025 J jnl
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.
CoRR
Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen
2025 J jnl
Large Language Model With Region-Guided Referring and Grounding for CT Report Generation.
IEEE Trans. Medical Imaging
Zhi-Xuan Chen, Yequan Bie, Haibo Jin, Hao Chen
2025 J jnl
Reasoning Can Hurt the Inductive Abilities of Large Language Models.
CoRR
Haibo Jin, Peiyan Zhang, Man Luo, Haohan Wang
2025 A* conf
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
ICML
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2024 J jnl
AdvCheck: Characterizing adversarial examples via local gradient checking.
Comput. Secur.
Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng, Shilian Zheng, Xiaoniu Yang, Xing Yang
2024 J jnl
An optimal selective maintenance policy for multi-state series production systems by considering environment impact.
Comput. Ind. Eng.
Haibo Jin, Xianhe Song, Hao Xia, Diawara Faysal Almamy
2024 — conf
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing.
ECCV (47)
Haibo Jin, Ruoxi Chen, Jinyin Chen, Haibin Zheng, Yang Zhang, Haohan Wang
2024 J jnl
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training.
CoRR
Tongkun Su, Jun Li, Xi Zhang, Haibo Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Yin Hu
2024 — conf
EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.
ECCV (63)
Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen, Haohan Wang, Lichao Sun
2024 J jnl
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models.
CoRR
Haibo Jin, Ruoxi Chen, Andy Zhou, Jinyin Chen, Yang Zhang, Haohan Wang
2024 J jnl
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR
Haibo Jin, Leyang Hu, Xinuo Li, Peiyan Zhang, Chonghan Chen, Jun Zhuang, Haohan Wang
2024 A* conf
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.
NeurIPS
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
2024 J jnl
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.
CoRR
Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
2024 J jnl
Large Language Model with Region-guided Referring and Grounding for CT Report Generation.
CoRR
Zhixuan Chen, Yequan Bie, Haibo Jin, Hao Chen
2024 A* conf
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.
AAAI
Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen
2024 J jnl
Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.
IEEE Trans. Image Process.
Haibo Jin, Haoxuan Che, Hao Chen
2024 J jnl
Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach.
CoRR
Haibo Jin, Haoxuan Che, Hao Chen
2024 J jnl
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
CoRR
Peiyan Zhang, Haibo Jin, Leyang Hu, Xinnuo Li, Liying Kang, Man Luo, Yangqiu Song, Haohan Wang
2023 J jnl
AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking.
CoRR
Ruoxi Chen, Haibo Jin, Jinyin Chen, Haibin Zheng
2023 A* conf
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space.
ASE
Haibin Zheng, Jinyin Chen, Haibo Jin
2023 J jnl
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space.
CoRR
Haibin Zheng, Jinyin Chen, Haibo Jin
2023 J jnl
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.
CoRR
Ruoxi Chen, Haibo Jin, Jinyin Chen, Lichao Sun
2023 J jnl
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.
Inf. Sci.
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu
2023 J jnl
Optimal maintenance strategy for large-scale production systems under maintenance time uncertainty.
Reliab. Eng. Syst. Saf.
Haibo Jin, Xianhe Song, Hao Xia
2023 J jnl
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.
CoRR
Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen
2023 — conf
Safety helmet wearing detection algorithm based on lightweight FastestDet.
ICVIP
Haibo Jin, Fei Yuan
2023 — conf
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.
MICCAI (5)
Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen
2023 J jnl
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains.
CoRR
Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen
2023 J jnl
TraffNet: Learning Causality of Traffic Generation for Road Network Digital Twins.
CoRR
Ming Xu, Yunyi Ma, Ruimin Li, Geqi Qi, Xiangfu Meng, Haibo Jin
2023 — conf
Unsupervised Domain Adaptation for Anatomical Landmark Detection.
MICCAI (1)
Haibo Jin, Haoxuan Che, Hao Chen
2023 J jnl
Unsupervised Domain Adaptation for Anatomical Landmark Detection.
CoRR
Haibo Jin, Haoxuan Che, Hao Chen
2022 J jnl
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.
CoRR
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng
2022 — conf
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.
MICCAI (3)
Haoxuan Che, Haibo Jin, Hao Chen
2022 J jnl
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.
CoRR
Haoxuan Che, Haibo Jin, Hao Chen
2022 J jnl
ROBY: Evaluating the adversarial robustness of a deep model by its decision boundaries.
Inf. Sci.
Haibo Jin, Jinyin Chen, Haibin Zheng, Zhen Wang, Jun Xiao, Shanqing Yu, Zhaoyan Ming
2022 A* conf
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.
IJCAI
Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng
2022 J jnl
RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.
CoRR
Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng
2021 J jnl
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild.
Int. J. Comput. Vis.
Haibo Jin, Shengcai Liao, Ling Shao
2021 J jnl
When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model.
CoRR
Haibo Jin, Jinpeng Li, Shengcai Liao, Ling Shao
2020 J jnl
Pixel-In-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild.
CoRR
Haibo Jin, Shengcai Liao, Ling Shao
2020 J jnl
Seismic Random Noise Attenuation Based on PCC Classification in Transform Domain.
IEEE Access
Yu Sang, Jinguang Sun, Xiangfu Meng, Haibo Jin, Yanfei Peng, Xinjun Zhang
2020 J jnl
Weakly Secure Coded Caching Scheme for an Eavesdropper Having Prior Knowledge.
IEEE Access
Nan Wang, Hai Zhao, Haibo Jin, Long Hai
2019 — conf
Learning Lightweight Face Detector with Knowledge Distillation.
ICB
Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei, Stan Z. Li
2019 — conf
Non-Subsampled Shearlet Transform Based Seismic Data Denoising via Proximal Classifier with Consistency.
SmartIoT
Yu Sang, Jinguang Sun, Xiangfu Meng, Haibo Jin, Yanfei Peng, Xinjun Zhang
2017 J jnl
Deep Person Re-Identification with Improved Embedding.
CoRR
Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li
2017 B conf
Deep person re-identification with improved embedding and efficient training.
IJCB
Haibo Jin, Xiaobo Wang, Shengcai Liao, Stan Z. Li
2014 J jnl
A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory.
Eur. J. Oper. Res.
Chongquan Zhong, Haibo Jin
2014 J jnl
An Adaptable (n, n) Secret Image Sharing Mechanism Based on Boolean Operation.
Int. J. Netw. Secur.
Zhi-Hui Wang, Haibo Jin, Xuebo Wang, Chin-Chen Chang