Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2 
publications
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Published in AAAI Conference on Artificial Intelligence (AAAI), 2024
A stealthy backdoor designed from both spatial and frequency perspectives. (CCF-A)
Recommended citation: Y. Gao, H. Chen, P. Sun, J. Li, A. Zhang, Z. Wang, W. Liu. (2024). "A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives." AAAI Conference on Artificial Intelligence (AAAI). (CCF-A)
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Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction: From a Multi-Channel Perspective
Published in IEEE Transactions on Information Forensics and Security (TIFS), 2024
Investigating DNN backdoors based on recolorization and reconstruction. (CCF-A)
Recommended citation: H. Chen, Y. Gao, A. Zhang, P. Sun, N. Jiang, W. Liu, X. Wang. (2024). "Investigating the Backdoor on DNNs Based on Recolorization and Reconstruction." IEEE Transactions on Information Forensics and Security (TIFS). (CCF-A)
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Energy-Based Backdoor Defense Without Task-Specific Samples and Model Retraining
Published in International Conference on Machine Learning (ICML), 2024
An energy-based backdoor defense requiring no task-specific samples or model retraining. (CCF-A)
Recommended citation: Y. Gao, H. Chen, P. Sun, Z. Li, J. Li, H. Shao. (2024). "Energy-Based Backdoor Defense Without Task-Specific Samples and Model Retraining." International Conference on Machine Learning (ICML). (CCF-A)
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Lightweight Privacy Protection Against Channel-Level Gradient Leakage Attack in Federated Learning
Published in International Conference on Information and Communication Technology Convergence (ICTC), 2024
Lightweight privacy protection against channel-level gradient leakage in federated learning. Best Paper Award.
Recommended citation: Z. Li, H. Chen, Y. Gao, H. Xue. (2024). "Lightweight Privacy Protection Against Channel-Level Gradient Leakage Attack in Federated Learning." International Conference on Information and Communication Technology Convergence (ICTC). Best Paper Award.
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Frequency Is Devious: Deep Stealthy Backdoor in Artificial Intelligence-Based Consumer Internet of Things
Published in IEEE Transactions on Consumer Electronics (TCE), 2025
A deep stealthy frequency-domain backdoor in AI-based consumer IoT.
Recommended citation: Y. Gao, H. Chen, J. Li, X. Wang, A. Alharbi, A. Tolba, F. Xia. (2025). "Frequency Is Devious: Deep Stealthy Backdoor in Artificial Intelligence-Based Consumer Internet of Things." IEEE Transactions on Consumer Electronics (TCE).
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A Triple Stealthy Backdoor: Hidden in Spatial, Frequency, and Feature Domains
Published in IEEE Transactions on Dependable and Secure Computing (TDSC), 2025
A stealthy backdoor hidden across spatial, frequency, and feature domains. (CCF-A)
Recommended citation: Y. Gao, H. Chen, P. Sun, J. Li, Y. Yin, Z. Wang, W. Liu. (2025). "A Triple Stealthy Backdoor: Hidden in Spatial, Frequency, and Feature Domains." IEEE Transactions on Dependable and Secure Computing (TDSC). (CCF-A)
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SkillReducer: Optimizing LLM Agent Skills for Token Efficiency
Published in arXiv preprint, 2026
Optimizing LLM agent skills for token efficiency.
Recommended citation: Y. Gao, Z. Li, Y. Yuan, Z. Ji, P. Ma, S. Wang. (2026). "SkillReducer: Optimizing LLM Agent Skills for Token Efficiency." arXiv preprint.
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CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage
Published in Conference on Neural Information Processing Systems (NeurIPS), 2026
A coverage-curated panoramic RGB-D-pose dataset: 36,373 ERP frames from 1,275 indoor scenes, with a median of only 25 frames per scene. Corresponding author.
Recommended citation: J. Liu, J. Li, J. Yu, X. Yu, et al., Y. Gao (corresponding author), M. Cheng. (2026). "CM-EVS: Sparse Panoramic RGB-D-Pose Data for Complete Scene Coverage." NeurIPS. Accepted. (CCF-A)
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One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models
Published in Annual Meeting of the Association for Computational Linguistics (ACL), 2026
A single cognitive loop unlocks pure-text spatial reasoning in LLMs. Corresponding author. (CCF-A)
Recommended citation: S. Bai, J. Zhang, H. Huang, Y. Wang, J. Liu, Y. Wu, N. Yu, Y. Gao (corresponding author), M. Cheng. (2026). "One Cognitive Loop Is Enough: SODA unlocks Pure-Text Spatial Reasoning in Large Language Models." Annual Meeting of the Association for Computational Linguistics (ACL). (CCF-A)
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Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability
Published in arXiv preprint, 2026
Evaluating weight-integrity vulnerabilities and localized protection across vision-language-action architectures.
Recommended citation: Y. Gao, L. Chen, W. Wu, M. Zhou, J. Wang, K. Ji, M. Guo, H. Chen. (2026). "Bit-Flip Attacks on Vision-Language-Action Models: Action-Decoding Architecture Shapes the Vulnerability." arXiv:2608.15475.
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PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks
Published in ACM Conference on Computer and Communications Security (CCS), 2026
Path watermarks for protecting the intellectual property of Mixture-of-Expert LLMs. (CCF-A)
Recommended citation: Y. Gao, Q. Wang, Y. Yuan, R. Huang, L. Chen, Z. Ji, S. Wang. (2026). "PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path Watermarks." ACM Conference on Computer and Communications Security (CCS). (CCF-A)
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.
