Haibo Jin
Orcid: 0000-0002-3893-4090
According to our database1,
Haibo Jin authored at least 61 papers
between 2014 and 2026.
Collaborative distances:
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Bibliography
2026
Multimodal arbitrary-scale super-resolution via dynamic gated fusion and low-resolution semantic guidance.
Vis. Comput., May, 2026
CoRR, May, 2026
TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization.
CoRR, May, 2026
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation.
CoRR, May, 2026
Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems.
CoRR, April, 2026
CoRR, February, 2026
CoRR, February, 2026
LLM-Driven Medical Report Generation via Communication-Efficient Heterogeneous Federated Learning.
IEEE Trans. Medical Imaging, January, 2026
Geometric Deviation: An Information-Theoretic Health Indicator for Cross-Condition Prognostics.
IEEE Signal Process. Lett., 2026
DeepChance-OPT: A Robust Decision-Making Framework for Dynamic Grasping in Precision Assembly.
Inf., 2026
Eng. Appl. Artif. Intell., 2026
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
A Chain of Diagnosis Framework for Accurate and Explainable Radiology Report Generation.
IEEE Trans. Medical Imaging, December, 2025
FedDAG: Federated Domain Adversarial Generation Toward Generalizable Medical Image Analysis.
IEEE Trans. Medical Imaging, December, 2025
Large Language Model With Region-Guided Referring and Grounding for CT Report Generation.
IEEE Trans. Medical Imaging, August, 2025
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs.
CoRR, August, 2025
GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing.
CoRR, July, 2025
CoRR, June, 2025
From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models.
CoRR, May, 2025
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.
CoRR, April, 2025
FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis.
CoRR, January, 2025
Fight Perturbations With Perturbations: Defending Adversarial Attacks via Neuron Influence.
IEEE Trans. Dependable Secur. Comput., 2025
IEEE Signal Process. Lett., 2025
Joint optimization of spare parts inventory and maintenance for wind turbine systems.
Expert Syst. Appl., 2025
Evaluating the Inductive Abilities of Large Language Models: Why Chain-of-Thought Reasoning Sometimes Hurts More Than Helps.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Revolve: Optimizing AI Systems by Tracking Response Evolution in Textual Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
2024
Comput. Secur., January, 2024
Rethinking Self-Training for Semi-Supervised Landmark Detection: A Selection-Free Approach.
IEEE Trans. Image Process., 2024
Large Language Model with Region-guided Referring and Grounding for CT Report Generation.
CoRR, 2024
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models.
CoRR, 2024
CoRR, 2024
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models.
CoRR, 2024
An optimal selective maintenance policy for multi-state series production systems by considering environment impact.
Comput. Ind. Eng., 2024
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Optimal maintenance strategy for large-scale production systems under maintenance time uncertainty.
Reliab. Eng. Syst. Saf., December, 2023
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.
Inf. Sci., August, 2023
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
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.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
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.
Inf. Sci., 2022
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Int. J. Comput. Vis., 2021
2020
IEEE Access, 2020
IEEE Access, 2020
2019
Non-Subsampled Shearlet Transform Based Seismic Data Denoising via Proximal Classifier with Consistency.
Proceedings of the 2019 IEEE International Conference on Smart Internet of Things (SmartIoT), 2019
Proceedings of the 2019 International Conference on Biometrics, 2019
2017
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017
2014
Int. J. Netw. Secur., 2014
A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory.
Eur. J. Oper. Res., 2014