Yu LI
I am a tenure-track Assistant Professor of Computer Science and Technology Department, Harbin Institute of Technology (Shenzhen). Before that, I obtained my Ph.D. degree at The Chinese University of Hong Kong (Shatin, N.T., Hong Kong) under the supervision of Prof.Qiang Xu. I received my Master degree with Cum Laude in 2017 from Katholieke Universiteit Leuven (KU Leuven, Leuven, Belgium), under the supervision of Prof.Erik Jan Marinissen and Prof.Hailong Jiao. I received the Bachelor of Science and Bachelor of Engineering degrees with honor in 2016 from both KU Leuven and University of Electronic Science and Technology of China (UESTC, Chengdu, China), respectively.
Currently, my research interests include:
- Secure and Reliable Machine Learning, including explainability, adversarial attacks, and defenses on large language/vision/multi-modal models.
- High-Reliability Hardware, including fault injection attacks, side-channel, etc.
I am looking for multiple self-motivated Ph.D. students, master students, and research assistants. Welcome to contact me via Email li.yu@hit.edu.cn.
News
2024-09 | Two papers have been accepted by NeurIPS 2024! |
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2024-08 | I will serve as a reviewer and PC member for AAAI 2025 and ICLR 2025; consider submitting papers! |
2024-07 | I will serve as a PC member for IEEE EuroS&P 2025; consider submitting papers! |
2024-05 | I will serve as a PC member for ACSAC 2024; consider submitting papers! |
2024-05 | One paper has been accepted to ICML'24. |
2024-04 | One paper has been accepted to IJCAI'24. |
2023-12 | Our paper "HiBug: On Human Interpretable Model Debug" has been accepted to NeurIPS'23. |
2023-10 | One paper has been accepted to ITC'23. |
2022-03 | I have successfully defended my thesis! |
Selected Publications [ Full List ]
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NeurIPS’23HiBug: On Human Interpretable Model DebugConference on Neural Information Processing Systems, (NeurIPS), 2023.
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ISSTA’22HybridRepair: Towards Annotation-Efficient Repair for Deep Learning ModelsThe ACM SIGSOFT International Symposium on Software Testing and Analysis, (ISSTA), 2022.
- CCS’20DeepDyve: Dynamic Verification for Deep Neural NetworksACM SIGSAC Conference on Computer and Communications Security, (CCS), 2020.
- ACSAC’19D2NN: A Fine-Grained Dual Modular Redundancy Framework for Deep Neural NetworksAnnual Computer Security Applications Conference, (ACSAC), 2019.
- NeurIPS’21TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning TasksConference on Neural Information Processing Systems, (NeurIPS), 2021.
- DAC’21AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN InferenceThe Design Automation Conference, (DAC), 2021.
- IJCAI’21Information Bottleneck Approach to Spatial Attention LearningInternational Joint Conference on Artificial Intelligence, (IJCAI), 2021.
Teaching
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COMP5034System Security, 2023 Fall
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COMP3054Computers and Network Security, 2023 Spring
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CSCI3250Computers and Society (with Prof. CHAU Chuck-jee)
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CENG2400Embedded System Design (with Prof. Qiang Xu)
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ENGG1100Introduction to Engineering Design (with Prof. Anthony SUM)