default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGaojie Jin
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
2020 – today
- 2026
[j9]Sihao Wu, Xiaonan Si, Chi Xing
, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Xiaowei Huang:
Preference alignment on diffusion models: A comprehensive survey for image generation and editing. Comput. Sci. Rev. 61: 100900 (2026)- [j8]Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng:
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors. IEEE Trans. Image Process. 35: 1290-1304 (2026) - [c13]Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin:
BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. AAAI 2026: 32141-32149 - [c12]Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu:
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. AAAI 2026: 37998-38006 - [i35]Xinping Yi, Gaojie Jin, Xiaowei Huang, Shi Jin:
Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds. CoRR abs/2601.08100 (2026) - [i34]Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng:
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors. CoRR abs/2601.17107 (2026) - [i33]Ziquan Zhu, Hanruo Zhu, Siyuan Lu, Xiang Li, Yanda Meng, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang:
Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis. CoRR abs/2602.18888 (2026) - [i32]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
S2O: Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR abs/2603.01264 (2026) - [i31]Ziquan Zhu, Gaojie Jin, Hanruo Zhu, Si-Yuan Lu, Yunxiao Zhang, Zeyu Fu, Ronghui Mu, Guoqiang Zhang, Zhao Sun, Xia Yuhang, Jiaxing Shang, Xiang Li, Lu Liu, Tianjin Huang:
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition. CoRR abs/2603.16732 (2026) - [i30]Xinyu Li, Ronghui Mu, Lin Li, Tianjin Huang, Gaojie Jin:
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents. CoRR abs/2605.08876 (2026) - [i29]Gaojie Jin, Yong Tao, Lijia Yu, Tianjin Huang:
Margin-Adaptive Confidence Ranking for Reliable LLM Judgement. CoRR abs/2605.15416 (2026) - [i28]Liang Zhang, Gaojie Jin, Yao Shi, Quanzhi Li, Cheng-Chao Huang, David N. Jansen, Lijun Zhang:
TrajRS: Towards Certified Robustness in Pedestrian Trajectory Prediction. CoRR abs/2606.28716 (2026) - 2025
- [j7]Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang:
Safeguarding large language models: a survey. Artif. Intell. Rev. 58(12): 382 (2025) - [j6]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
S$^{2}$2O: Enhancing Adversarial Training With Second-Order Statistics of Weights. IEEE Trans. Pattern Anal. Mach. Intell. 47(10): 8630-8641 (2025) - [j5]Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang:
Invariant Correlation of Representation With Label. IEEE Trans. Inf. Forensics Secur. 20: 4369-4381 (2025) - [j4]Jiaxu Liu, Xinping Yi, Xiangyu Yin, Yuhang Song, Gaojie Jin, Xiaowei Huang:
Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention. Trans. Mach. Learn. Res. 2025 (2025) - [c11]Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu:
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. ICLR 2025 - [c10]Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu:
Enhancing Robust Fairness via Confusional Spectral Regularization. ICLR 2025 - [i27]Tianjin Huang, Ziquan Zhu, Gaojie Jin, Lu Liu, Zhangyang Wang, Shiwei Liu:
SPAM: Spike-Aware Adam with Momentum Reset for Stable LLM Training. CoRR abs/2501.06842 (2025) - [i26]Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu:
Enhancing Robust Fairness via Confusional Spectral Regularization. CoRR abs/2501.13273 (2025) - [i25]Sihao Wu, Xiaonan Si, Chi Xing, Jianhong Wang, Gaojie Jin, Guangliang Cheng, Lijun Zhang, Xiaowei Huang:
Preference Alignment on Diffusion Model: A Comprehensive Survey for Image Generation and Editing. CoRR abs/2502.07829 (2025) - [i24]Tianjin Huang, Haotian Hu, Zhenyu Zhang, Gaojie Jin, Xiang Li, Li Shen, Tianlong Chen, Lu Liu, Qingsong Wen, Zhangyang Wang, Shiwei Liu:
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam. CoRR abs/2502.17055 (2025) - [i23]Gaojie Jin, Tianjin Huang, Ronghui Mu, Xiaowei Huang:
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers. CoRR abs/2503.17172 (2025) - [i22]Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu:
ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability. CoRR abs/2507.18816 (2025) - [i21]Meilin Zhu, Gaojie Jin, Xiaowei Huang, Lijun Zhang:
Shapley Uncertainty in Natural Language Generation. CoRR abs/2507.21406 (2025) - [i20]Xinyu Li, Tianjin Huang, Ronghui Mu, Xiaowei Huang, Gaojie Jin:
POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization. CoRR abs/2508.19277 (2025) - [i19]Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang:
Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Models. CoRR abs/2509.00373 (2025) - [i18]Gaojie Jin, Xinping Yi, Xiaowei Huang:
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier. CoRR abs/2509.25979 (2025) - [i17]Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin:
BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models. CoRR abs/2511.10714 (2025) - [i16]Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu:
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. CoRR abs/2512.08967 (2025) - 2024
- [j3]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa:
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57(7): 175 (2024) - [j2]Wei Huang, Yifan Zhou, Gaojie Jin, Youcheng Sun, Jie Meng, Fan Zhang, Xiaowei Huang:
Formal verification of robustness and resilience of learning-enabled state estimation systems. Neurocomputing 585: 127643 (2024) - [c9]Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang:
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. ECCV (66) 2024: 269-287 - [c8]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML 2024: 11375-11394 - [c7]Deqian Yang, Haochen Zhao, Gaojie Jin, Hui Meng, Lijun Zhang:
Class-Aware Cross Pseudo Supervision Framework for Semi-Supervised Multi-organ Segmentation in Abdominal CT Scans. PRCV (14) 2024: 148-162 - [i15]Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang:
Building Guardrails for Large Language Models. CoRR abs/2402.01822 (2024) - [i14]Dengyu Wu, Yi Qi, Kaiwen Cai, Gaojie Jin, Xinping Yi, Xiaowei Huang:
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network. CoRR abs/2405.00699 (2024) - [i13]Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang:
Safeguarding Large Language Models: A Survey. CoRR abs/2406.02622 (2024) - [i12]Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang:
Invariant Correlation of Representation with Label. CoRR abs/2407.01749 (2024) - [i11]Tao Lin, Lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang:
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors. CoRR abs/2410.10091 (2024) - 2023
- [b1]Xiaowei Huang, Gaojie Jin, Wenjie Ruan:
Machine Learning Safety. Artificial Intelligence: Foundations, Theory, and Algorithms, Springer 2023, ISBN 978-981-19-6813-6, pp. 3-263 - [c6]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI 2023: 15046-15054 - [c5]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CVPR 2023: 16447-16457 - [c4]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. ICCV 2023: 1988-1998 - [c3]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. ICCV 2023: 8293-8305 - [i10]Dengyu Wu, Gaojie Jin, Han Yu, Xinping Yi, Xiaowei Huang:
Optimising Event-Driven Spiking Neural Network with Regularisation and Cutoff. CoRR abs/2301.09522 (2023) - [i9]Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang:
Randomized Adversarial Training via Taylor Expansion. CoRR abs/2303.10653 (2023) - [i8]Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa:
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR abs/2305.11391 (2023) - [i7]Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang:
TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. CoRR abs/2308.05985 (2023) - 2022
- [j1]Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
Weight Expansion: A New Perspective on Dropout and Generalization. Trans. Mach. Learn. Res. 2022 (2022) - [c2]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
Enhancing Adversarial Training with Second-Order Statistics of Weights. CVPR 2022: 15252-15262 - [i6]Gaojie Jin, Xinping Yi, Xiaowei Huang:
Neuronal Correlation: a Central Concept in Neural Network. CoRR abs/2201.09069 (2022) - [i5]Gaojie Jin, Xinping Yi, Pengfei Yang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
Weight Expansion: A New Perspective on Dropout and Generalization. CoRR abs/2201.09209 (2022) - [i4]Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang:
Enhancing Adversarial Training with Second-Order Statistics of Weights. CoRR abs/2203.06020 (2022) - [i3]Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang:
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. CoRR abs/2208.09418 (2022) - [i2]Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni:
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2212.11746 (2022) - 2020
- [c1]Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks? NeurIPS 2020 - [i1]Gaojie Jin, Xinping Yi, Liang Zhang, Lijun Zhang, Sven Schewe, Xiaowei Huang:
How does Weight Correlation Affect the Generalisation Ability of Deep Neural Networks. CoRR abs/2010.05983 (2020)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-07-13 00:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated, funded, and maintained by:
Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.
