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ORCIDCheng Han 0001
Person information
- affiliation: University of Missouri-Kansas City, MO, USA
- affiliation (former): Rochester Institute of Technology, Rochester, NY, USA
Other persons with the same name
- Cheng Han — disambiguation page
- Cheng Han 0002
![[0000-0003-3735-0162]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-3735-0162")
— Changchun University of Science and Technology, Changchun, China - Cheng Han 0003 — Jilin University, Changchun, China
- Cheng Han 0004 — Northeastern University, Shenyang, China
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2020 – today
- 2026
[j5]Zixin Yang, Jon S. Heiselman, Cheng Han, Kelly Merrell, Richard A. Simon, Cristian A. Linte:
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery With Patches-to-Partial Matching. IEEE J. Biomed. Health Informatics 30(1): 459-472 (2026)- [j4]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:
Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. 2026 (2026) - [c17]Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han:
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning. ACL (1) 2026: 40107-40125 - [i24]Changyu Liu, Yiyang Liu, Taowen Wang, Qiao Zhuang, James Chenhao Liang, Wenhao Yang, Renjing Xu, Qifan Wang, Dongfang Liu, Cheng Han:
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning. CoRR abs/2601.06748 (2026) - [i23]Runjia Zeng, Qifan Wang, Qiang Guan, Ruixiang Tang, Lifu Huang, Zhenting Wang, Xueling Zhang, Cheng Han, Dongfang Liu:
TokenSeek: Memory Efficient Fine Tuning via Instance-Aware Token Ditching. CoRR abs/2601.19739 (2026) - [i22]Xin Gu, Bing Fan, Jiali Yao, Zhipeng Zhang, Yan Huang, Cheng Han, Heng Fan, Libo Zhang:
Towards Long-Form Spatio-Temporal Video Grounding. CoRR abs/2602.23294 (2026) - [i21]Changyu Liu, James Chenhao Liang, Wenhao Yang, Yiming Cui, Jinghao Yang, Tianyang Wang, Qifan Wang, Dongfang Liu, Cheng Han:
A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning. CoRR abs/2603.25758 (2026) - [i20]Xi Xiao, Xingjian Li, Yunbei Zhang, Cheng Han, Tianming Liu, Tianyang Wang, Runmin Jiang, Jihun Hamm, Xiao Wang, Min Xu:
Layer-Specific Prompt Fusion Discovery via Differentiable Search in Vision Foundation Models. CoRR abs/2606.26379 (2026) - 2025
- [c16]Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu:
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. EMNLP 2025: 16260-16280 - [c15]Taowen Wang, Cheng Han, James Liang, Wenhao Yang, Dongfang Liu, Luna Xinyu Zhang, Qifan Wang, Jiebo Luo, Ruixiang Tang:
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. ICCV 2025: 6948-6958 - [c14]Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
Re-Imagining Multimodal Instruction Tuning: A Representation View. ICLR 2025 - [c13]Yiyang Liu, James Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
All You Need is One: Capsule Prompt Tuning with a Single Vector. NeurIPS 2025 - [c12]Runjia Zeng, James Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu:
Probabilistic Token Alignment for Large Language Model Fusion. NeurIPS 2025 - [i19]Yiyang Liu, James Chenhao Liang, Ruixiang Tang, Yugyung Lee, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
Re-Imagining Multimodal Instruction Tuning: A Representation View. CoRR abs/2503.00723 (2025) - [i18]Runjia Zeng, Guangyan Sun, Qifan Wang, Tong Geng, Sohail A. Dianat, Xiaotian Han, Raghuveer Rao, Xueling Zhang, Cheng Han, Lifu Huang, Dongfang Liu:
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper. CoRR abs/2509.00996 (2025) - [i17]Runjia Zeng, James Chenhao Liang, Cheng Han, Zhiwen Cao, Jiahao Liu, Xiaojun Quan, Yingjie Victor Chen, Lifu Huang, Tong Geng, Qifan Wang, Dongfang Liu:
Probabilistic Token Alignment for Large Language Model Fusion. CoRR abs/2509.17276 (2025) - [i16]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:
Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR abs/2510.13219 (2025) - [i15]Yiyang Liu, James Chenhao Liang, Heng Fan, Wenhao Yang, Yiming Cui, Xiaotian Han, Lifu Huang, Dongfang Liu, Qifan Wang, Cheng Han:
All You Need is One: Capsule Prompt Tuning with a Single Vector. CoRR abs/2510.16670 (2025) - 2024
- [j3]Yuxing Wang, Junhan Zhao, Hongye Xu, Cheng Han, Zhiqiang Tao, Dawei Zhou, Tong Geng, Dongfang Liu, Zhicheng Ji:
A systematic evaluation of computational methods for cell segmentation. Briefings Bioinform. 25(5) (2024) - [j2]Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu:
Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9084-9101 (2024) - [j1]Yawen Lu, Cheng Han, Qifan Wang, Heng Fan, Zhaodan Kong, Dongfang Liu, Yingjie Victor Chen:
Optical Flow as Spatial-Temporal Attention Learners. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11491-11506 (2024) - [c11]Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan:
ProMotion: Prototypes as Motion Learners. CVPR 2024: 28109-28119 - [c10]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. ECCV (65) 2024: 431-450 - [c9]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:
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 2024: 3723-3740 - [c8]Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu:
Image Translation as Diffusion Visual Programmers. ICLR 2024 - [c7]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning? ICLR 2024 - [c6]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:
Prototypical Transformer As Unified Motion Learners. ICML 2024: 17416-17436 - [c5]Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. NeurIPS 2024 - [i14]Cheng Han, James Chenhao Liang, Qifan Wang, Majid Rabbani, Sohail A. Dianat, Raghuveer Rao, Ying Nian Wu, Dongfang Liu:
Image Translation as Diffusion Visual Programmers. CoRR abs/2401.09742 (2024) - [i13]Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu:
Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning? CoRR abs/2401.12902 (2024) - [i12]Yiming Cui, Cheng Han, Dongfang Liu:
SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving. CoRR abs/2405.18857 (2024) - [i11]Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail A. Dianat, Raghuveer M. Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu:
Prototypical Transformer as Unified Motion Learners. CoRR abs/2406.01559 (2024) - [i10]Yawen Lu, Dongfang Liu, Qifan Wang, Cheng Han, Yiming Cui, Zhiwen Cao, Xueling Zhang, Yingjie Victor Chen, Heng Fan:
ProMotion: Prototypes As Motion Learners. CoRR abs/2406.04999 (2024) - [i9]Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu:
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR abs/2406.05857 (2024) - [i8]Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-scale Vision Models. CoRR abs/2407.04208 (2024) - [i7]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:
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. CoRR abs/2409.15657 (2024) - [i6]Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. CoRR abs/2411.01327 (2024) - [i5]Taowen Wang, Dongfang Liu, James Chenhao Liang, Wenhao Yang, Qifan Wang, Cheng Han, Jiebo Luo, Ruixiang Tang:
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. CoRR abs/2411.13587 (2024) - [i4]Zixin Yang, Jon S. Heiselman, Cheng Han, Kelly Merrell, Richard A. Simon, Cristian A. Linte:
Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery with Patches-to-Partial Matching. CoRR abs/2412.19328 (2024) - 2023
- [c4]Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu:
E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. ICCV 2023: 17445-17456 - [c3]Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu:
Visual Recognition with Deep Nearest Centroids. ICLR 2023 - [c2]Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang:
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI 2023: 1622-1630 - [c1]Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023 - [i3]Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu:
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning. CoRR abs/2307.13770 (2023) - [i2]Yiming Cui, Cheng Han, Dongfang Liu:
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation. CoRR abs/2311.00987 (2023) - 2022
- [i1]Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu:
Visual Recognition with Deep Nearest Centroids. CoRR abs/2209.07383 (2022)
Coauthor Index
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