Li Heng obtained his Ph.D. in Biomedical Engineering from Shanghai Jiao Tong University (SJTU) in June 2018. He has been involved in multiple national key R&D programs and industry-sponsored research projects. He has authored/co-authored over 40 academic papers in internationally renowned journals and conferences, including IEEE Transactions on Image Processing, Pattern Recognition, Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Artificial Intelligence in Medicine, Information Sciences, Journal of Neural Engineering, Brain Stimulation, and the AAAI Conference on Artificial Intelligence, among which more than 20 are first-author or corresponding-author papers. He has applied for 11 national invention patents (6 granted) and holds 6 software copyrights. As an associate editor, he contributed to the compilation of the Ministry of Education's planned textbook Rehabilitation Science and Technology Series: Visual and Auditory Function Rehabilitation Engineering—Assistive and Alternative Technologies. He has received several honors, including the National First Prize and Excellent Instructor Award in the First National Artificial Intelligence Innovation Application Scenario Competition (2023), the "Award for Excellence" (Ranked 1st) in the First National Postdoctoral Innovation and Entrepreneurship Competition (2021), the SJTU Outstanding Graduate Award (2018), and the National PhD Scholarship (2017). He served as an Alumni Council Member for the 2018 PhD graduates of the SJTU School of Biomedical Engineering, is a member of IEEE, and a committee member of the Shanghai Biomedical Engineering Professional Committee. He also serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Cognitive and Developmental Systems, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Human-Machine Systems, and conferences such as AAAI.

• 2022.09–Present: Assistant Researcher, School of Biomedical Engineering, Shanghai Jiao Tong University, China.
• 2018.06–2022.08: Postdoctoral Researcher, Postdoctoral Station of Control Science and Engineering, Shanghai Jiao Tong University, China.
• 2018.12: Short-term Visiting Scholar, Artificial Vision Team, School of Biomedical Engineering, University of New South Wales, Australia.

• National First Prize & Excellent Instructor Award, First National Artificial Intelligence Innovation Application Scenario Competition, Dec 2023.
• Award for Excellence (Ranked 1st), National Final, First National Postdoctoral Innovation and Entrepreneurship Competition, Dec 2021.
• Outstanding Graduate, Shanghai Jiao Tong University, Mar 2018.
• National PhD Scholarship, Nov 2017.

1. National Key R&D Program of China: Project: Key Technologies for Rehabilitation of Audiovisual Speech Dysfunction Based on Brain-like Intelligence; Sub-project 2: Intelligent Novel Assessment and Intervention Technologies for Elderly Visual Impairment (No. 2025YFF0518002); Task: Visual Compensation Technology Based on Auditory Perception and Speech Interaction. Nov 2025–Nov 2030, CNY 650K, Co-PI.
2. Shanghai Natural Science Foundation (General Program): "For Blind Visual Substitution: Research on Key Technologies of Video 'Temporal-Spatial' Anti-interference Complementarity Based on Multimodal Cognitive Intelligence" (No. 25ZR1401181). Jul 2025–Jun 2028, CNY 200K, PI.
3. GF Project: xxx Coding Method. Jan 2026, RMB 290K, PI.
4. National Natural Science Foundation of China (General Program): Application Research of Laser Speckle Contrast Technology in Structural and Functional Imaging of Esophagogastric Varices (No. 82270694). Jan 2023–Dec 2026, RMB 156K, SJTU Co-PI.
5. National Natural Science Foundation of China (Young Scientists Fund): Research on Key Technologies of Visual Substitution Based on Auditory Perception Guided by Scene Entity Directed Graphs (No. 62103269). Jan 2022–Dec 2024, RMB 300K, PI.
6. University-level Basic Research Project: Research on Intelligent Assistive Strategies for the Blind Based on Diverse Visual Semantic Description and Controllable Visual Question Answering. Sep 2022–Dec 2025, RMB 50K, PI.
7. China Postdoctoral Science Foundation (General Program): Research on Artificial Visual Information Processing Strategy Based on Saliency Grading and Voice Assistance (No. 2019M661509). Sep 2019–Jun 2022, RMB 80K, PI.
8. Industry-sponsored Horizontal Project: Design and Implementation of Body Fat Algorithm and Deep Learning-based Drug Box Recognition Algorithm. Jan 2023–Dec 2023, RMB 50K, PI.

1. Gao, Q., Li, H. †, Zhou, Y., Zhou, M., Chen, J., & Chai, X. (2026). VisAssist: A Visually Impaired-Captured Video Question Answering Benchmark for Assistive Systems. In Proceedings of the AAAI Conference on Artificial Intelligence (CCF-A).
2. Gao, Q., Li, H. †, Chen, J., & Chai, X. (2025). Salient Object Ranking with Reinforcement Learning. Pattern Recognition, 112499. (IF:7.6, JCR:Q1).
3. Chen, J., Li, H.†, Gao, Q., Liang, J., Zhang, R., Yin, L., & Chai, X.† (2024). Accurate and Robust Object Detection via Selective Adversarial Learning with Constraints. IEEE Transactions on Image Processing, 33: 5593-5605. (IF:13.6, JCR:Q1, CCF-A Class Journal).
4. Gao, Q., Li, H.†, Meng, T., Xu, X., Sun, T., Yin, L., & Chai, X.† (2024). A Rapid Construction Method for High-throughput Wheat Grain Instance Segmentation Dataset Using High-resolution Images. Agronomy, 14(5), 1032. (JCR:Q1).
5. Liang, J., Chen, J., Zhou, M., Li, H. †, Xu, Y., Xu, F., Yin, L., & Chai, X. † (2024). An Intelligent Detection System for Wheat Appearance Quality. Agronomy, 14(5), 1057. (JCR:Q1).
6. Liang, J., Li, H.†, Chai, X.†, Gao, Q., Zhou, M., Guo, T., Chen, Y., & Di, L. (2024). An audiovisual cognitive optimization strategy guided by salient object ranking for intelligent visual prosthesis systems. Journal of Neural Engineering, 21(6), 066021.
7. Chen, J., Li, H.†, Liang, J., Su, X., Zhai, Z., & Chai, X.† (2022). Attention-based Cropping and Erasing Learning with Coarse-to-fine Refinement for Fine-grained Visual Classification. Neurocomputing, 359-369. (IF:6.5, JCR:Q1).
8. Su, X.#, Guo, J.#, Zhou, M., Chen, J., Li, L., Chen, Y., Sui, X., Li, H.†, & Chai, X.† (2022). Computational Modelling of Spatially Selective Retinal Stimulation with Temporally Interfering Electric Fields. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, 418-428. (JCR:Q1).
9. Liang, J., Li, H.†, Xu, F., Chen, J., Zhou, M., Yin, L., Zhai, Z., & Chai, X.† (2022). A Fast Deployable Instance Elimination Segmentation Algorithm Based on Watershed Transform for Dense Cereal Grain Images. Agriculture, 12(9), 1486. (JCR:Q1).
10. Lu, Z., Zhou, M., Guo, T., Liang, J., Wu, W., Gao, Q., Li, L., Li, H.†, & Chai, X.† (2022). An in-silico analysis of retinal electric field distribution induced by different electrode design of trans-corneal electrical stimulation. Journal of Neural Engineering, 19(5).
11. Su, X., Zhou, M., Di, L., Chen, J., Zhai, Z., Liang, J., Li, L., Li, H.†, & Chai, X.† (2022). The visual cortical responses to sinusoidal transcorneal electrical stimulation. Brain Research, 1785, 147875.