Ce Zhang 张策
About Me
Hi there! I’m Ce Zhang. I am currently a first-year PhD student in the Robotics Institute at Carnegie Mellon University (CMU), advised by Prof. Katia Sycara.
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.
Research Interests
I aim to enhance the adaptability and reliability of multi-modal models, pushing the boundaries of what they can achieve in real-world applications. My vision focuses on tackling pivotal challenges, including:
- How can we responsibly deploy multi-modal models while mitigating real-world societal concerns, such as mitigating misinformation and hallucinations, promoting fairness, and overcoming challenges with compositional reasoning?
- How can we enable a broader adaptability of these models to diverse real-world domains, such as robotics and healthcare, by leveraging resource-efficient fine-tuning, test-time adaptation, and continual learning?
- How can these models seamlessly interact with humans and their environments, such as advancing capabilities in human-object interaction detection, 3D visual reasoning, and video understanding?
News
- [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.
- [Oct. 2024] Our paper “Enhancing Vision-Language Few-Shot Adaptation with Negative Learning” is accepted to WACV 2025.
- [Sep. 2024] Our paper “Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models” is accepted to NeurIPS 2024.
- [Feb. 2024] Our paper “HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation” is accepted to CVPR 2024.
- [Sep. 2023] Our paper “Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation” is accepted tco WACV 2024.
Publications
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Preprint
ICML 2025 Workshop on Efficient Systems for Foundation Models (ES-FoMo III).Preprint. Under review. -
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
- 2025.02 - 2025.07, Research Intern at Tencent AI Lab, Advisor: 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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