Ce Zhang 张策
About Me
Hi there! I’m Ce Zhang. I am currently a third-year PhD candidate in the Robotics Institute at Carnegie Mellon University (CMU), advised by Prof. Katia Sycara, with an expected graduation of 2028.
Previously, I obtained my M.Sc. in Machine Learning in the Machine Learning Department at CMU, also advised by Prof. Katia Sycara. Prior to this, I received my B.Eng. in Communication Engineering from Southern University of Science and Technology (SUSTech), where I worked under the supervision of Prof. Zhihai He.
Feel free to reach out if you’re interested in my work or would like to discuss potential collaborations!
Research Interests
I build multi-modal AI systems that are efficient and reliable enough for real-world use. My research focuses on:
- How can these models seamlessly interact with humans and their environments—advancing capabilities in long-form/streaming video understanding and spatial reasoning?
- How can we responsibly deploy these models while addressing real-world concerns—mitigating misinformation and hallucinations, and promoting efficiency and safety?
News
- [May 2026] I joined TikTok as a research scientist intern, working on streaming video understanding.
- [Feb. 2026] Our paper “Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory” is accepted to CVPR 2026.
- [Jan. 2026] Our paper “pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning” is accepted to ICLR 2026.
- [Jan. 2026] Our paper “VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models” is accepted to TMLR.
- [Mar. 2025] I will be joining the Ph.D. in Robotics program at Carnegie Mellon University (CMU) in Fall 2025.
- [Jan. 2025] Our paper “Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models” is accepted to ICLR 2025.
Publications
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CVPR 2026
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.Also at ICLR 2026 Workshop on Lifelong Agents: Learning, Aligning, Evolving.Denver, CO, US, June 3-7, 2026 -
ICLR 2026
International Conference on Learning Representations (ICLR), 2026.Rio de Janeiro, Brazil, April 23-27, 2026 -
TMLR 2026
Transactions on Machine Learning Research (TMLR), 2026.Also at ICML 2025 Workshop on Efficient Systems for Foundation Models (ES-FoMo III). -
ICCV 2025
IEEE/CVF International Conference on Computer Vision (ICCV), 2025.Honolulu, HI, US, October 19–23, 2025 -
ACL 2025 (Main)
Annual Meeting of the Association for Computational Linguistics (ACL), 2025.Also at AAAI 2024 Workshop on Public Sector LLMs: Algorithmic and Sociotechnical Design.Vienna, Austria, July 27 - August 1, 2025 -
ICIP 2025
International Conference on Image Processing (ICIP), 2025.Anchorage, AK, US, September 14–17, 2025Selected for a Lecture presentation. -
ICLR 2025
International Conference on Learning Representations (ICLR), 2025.Also at NeurIPS 2024 Workshop on Responsibly Building the Next Generation of Multimodal Foundational Models.Singapore, April 24-28, 2025 -
WACV 2025
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.Also at ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models.Tucson, AZ, US, February 28 - March 4, 2025 -
NeurIPS 2024
Conference on Neural Information Processing Systems (NeurIPS), 2024.Also at ICML 2024 Workshop on Foundation Models in the Wild.Vancouver, Canada, December 10-15, 2024 -
CVPR 2024
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.Also at NeurIPS 2023 New Frontiers in Graph Learning Workshop.Seattle, WA, US, June 17-21, 2024 -
IEEE TAI
IEEE Transactions on Artificial Intelligence, 2023;Also at First Workshop on Out-of-Distribution Generalization in Robotics at CoRL 2023.Atlanta, GA, US, November 6-9, 2023 -
BMVC 2023
British Machine Vision Conference (BMVC), 2023.Aberdeen, UK, November 20-24, 2023 -
CVPR 2023
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.Vancouver, Canada, June 18-22, 2023 -
CVPR 2023
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.Vancouver, Canada, June 18-22, 2023 -
AAAI 2024
AAAI Conference on Artificial Intelligence (AAAI), 2024.Vancouver, Canada, February 22-25, 2024 -
WACV 2024
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024.Waikoloa, HI, US, January 4-8, 2024
Experiences
- 2026.05 - 2026.08, Research Scientist Intern at Tiktok, San Jose, Mentor: Ming Zhou.
- 2025.02 - 2025.07, Research Intern at Tencent AI Lab, Shenzhen, Mentor: Dr. Kaixin Ma.
Honors and Awards
- Liang Zhao Fellowship, RI Departmental PhD Fellowship, CMU, October 2025
- Top 10 Summa Cum Laude Graduates, Southern University of Science and Technology, June 2023
- National Scholarship, Ministry of Education of the People’s Republic of China, Novermber 2022
Services
- Journal Reviewer: IJCV, IEEE TCSVT (>10), IEEE TIP, IEEE TMM, IEEE TAI, Neurocomputing, Knowledge-Based Systems, Pattern Recognition
- Conference Reviewer: NeurIPS ‘25, ICLR ‘25 ‘26, ICCV ‘25, AAAI ‘26, WACV ‘25 (Outstanding Reviewer), ICASSP ‘25, BMVC ‘24 ‘25 (Outstanding Reviewer), ICME ‘24 ‘25, IJCNN ‘25, AVSS ‘25
visitors since Sep 2023.
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