Cheng Han

According to our database, Cheng Han authored at least 30 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning.

Changyu Liu, James Chenhao Liang, Wenhao Yang, Yiming Cui, Jinghao Yang, Tianyang Wang, Qifan Wang, Dongfang Liu, Cheng Han

CoRR, March, 2026

Towards Long-Form Spatio-Temporal Video Grounding.

Xin Gu, Bing Fan, Jiali Yao, Zhipeng Zhang, Yan Huang, Cheng Han, Heng Fan, Libo Zhang

CoRR, February, 2026

Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery With Patches-to-Partial Matching.

Zixin Yang, Jon S. Heiselman, Cheng Han, Kelly Merrell, Richard A. Simon, Cristian A. Linte

IEEE J. Biomed. Health Informatics, January, 2026

TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching.

Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu

CoRR, January, 2026

On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning.

Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han

CoRR, January, 2026

Prompt-based Adaptation in Large-scale Vision Models: A Survey.

Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han

Trans. Mach. Learn. Res., 2026

2025

All You Need is One: Capsule Prompt Tuning with a Single Vector.

Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

CoRR, October, 2025

Probabilistic Token Alignment for Large Language Model Fusion.

Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu

CoRR, September, 2025

Re-Imagining Multimodal Instruction Tuning: A Representation View.

Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.

Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper.

Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Optical Flow as Spatial-Temporal Attention Learners.

Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.

Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A systematic evaluation of computational methods for cell segmentation.

Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji

Briefings Bioinform., September, 2024

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics.

Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang

CoRR, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

CoRR, 2024

SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2024

Visual Fourier Prompt Tuning.

Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Prototypical Transformer As Unified Motion Learners.

Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Translation as Diffusion Visual Programmers.

Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.

Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

ProMotion: Prototypes as Motion Learners.

Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation.

Yiming Cui, Cheng Han, Dongfang Liu

CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

CoRR, 2023

Unified 3D Segmenter As Prototypical Classifiers.

Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.

Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Visual Recognition with Deep Nearest Centroids.

Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

E²VPT: An Effective and Efficient Approach for Visual Prompt Tuning.

Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023