Cheng Han

PhD candidate
ch7858 (at) rit.edu
Rochester Institute of Technology, USA

Biography

I am a Ph.D. candidate from Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, USA. My research interests include adaptable and sustainable intelligence, where I design, implement, deploy, and evaluate AI systems that empower the communities. I will join the University of Missouri -- Kansas City in Fall 2024. I am continuously interested in recuriting Ph.D. students with strong background. If you are interested in my work, we need to talk!

Table of Content

Publications

  1. Visual Recognition with Deep Nearest Centriods [pdf(arxiv)][code]. W. Wang*†, C. Han*, T. Zhou*, D. Liu†, International Conference on Learning Representations (ICLR), 2023 (Spotlight). *Equal Contribution

  2. Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning [pdf(IJCAI)]. L. Yan*, C. Han*, Z. Xu, D. Liu†, Q. Wang, International Joint Conferences on Artificial Intelligence (IJCAI), 2023. *Equal Contribution

  3. E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning [pdf(arxiv)][code]. C. Han*, Q. Wang, Y. Cui, Z. Cao, W. Wang, S. Qi, D. Liu†. International Conference on Computer Vision (ICCV), 2023.

  4. Unified 3D Segmenter As Prototypical Classifiers [pdf(Openreview)][code]. Z. Qin*, C. Han*, X. Lu, Q. Wang, X, Nie, Y, Yin†. Conference on Neural Information Processing Systems (NeurIPS), 2023. *Equal Contribution

  5. CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation [pdf(arxiv)]. Y. Cui, C. Han, D. Liu†. ACM Journal on Autonomous Transportation Systems (JATS), 2023.

  6. Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? C. Han*, Q. Wang, Y. Cui, W. Wang, L. Huang, S. Qi, D. Liu†. International Conference on Learning Representations (ICLR), 2024 [pdf(Openreview)][code].

  7. Image Translation as Diffusion Visual Programmers. C. Han, J. C. Liang, Q. Wang, M. Rabbani, S. Dianat, R. Rao, Y. N. Wu, D. Liu†. International Conference on Learning Representations (ICLR), 2024 [pdf(Openreview)][Website].

  8. ProMotion: Prototypes As Motion Learners. Y. Lu, D. Liu, Q., C. Han, Y. Cui, Z. Cao, X. Zhang, Y. V. Chen, H. Fan†. IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024.

  9. One paper accepeted by ICML 2024. Arxiv version coming soon.

Services

  1. Program Committee, The Association for the Advancement of Artificial Intelligence (AAAI), 2023.

  3. Reviewer, The Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

  5. Reviewer, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 -- Now.

  7. Reviewer, Association for Computational Linguistics Rolling Review (ARR), 2023 -- Now.

  8. Reviewer, The International World Wide Web Conference (WWW), 2024.

  9. Reviewer, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.

Talks and Presentation

  1. ICLR 2023 Spotlight Presentation, Visual Recognition with Deep Nearest Centriods [YouTube].

  3. ICCV 2023 Presentation, E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning [YouTube].

  5. NeurIPS 2023 Presentation, Unified 3D Segmenter as Prototypical Classifiers. New Orleans, USA.

  7. ICLR 2024 Presentation, Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning?

  9. ICLR 2024 Presentation, Image Translation as Diffusion Visual Programmers.