James Liang

According to our database, James Liang authored at least 31 papers between 2022 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

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

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

Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction.

Xiang Liu, James Liang, Jianwei Zhang, Zihan Qian, Phoebe Xing, Taige Chen, Shanchieh Yang, Chijioke Chukwudi, Liang Qiu, Dongfang Liu, Junhan Zhao

Comput. Methods Programs Biomed., 2025

Efficient and Accurate Low-Resolution Transformer Tracking.

Shaohua Dong, Yunhe Feng, James Liang, Qing Yang, Yuewei Lin, Heng Fan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng

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

PRVQL: Progressive Knowledge-Guided Refinement for Robust Egocentric Visual Query Localization.

Bing Fan, Yunhe Feng, Yapeng Tian, James Chenhao Liang, Yuewei Lin, Yan Huang, Heng Fan

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

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

Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective.

Jean Noël Nikiema, James Liang, Man Qing Liang, Davllyn dos Anjos, Aude Motulsky

J. Biomed. Informatics, 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

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng

CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.

Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu

CoRR, 2024

Enhancing Drug-Related Data Exchange: Advanced Technical Support for Interoperability.

James Liang, Jean Noël Nikiema

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 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

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

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection.

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

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

2023

Tripartite Feature Enhanced Pyramid Network for Dense Prediction.

Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou

IEEE Trans. Image Process., 2023

ClusterFormer: Clustering As A Universal Visual Learner.

James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

CoRR, 2023

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving.

Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang

CoRR, 2023

ClusterFomer: Clustering As A Universal Visual Learner.

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu

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

CLUSTSEG: Clustering for Universal Segmentation.

James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks.

Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A Triangulation-Based Visual Localization for Field Robots.

James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Yang, Dongfang Liu

IEEE CAA J. Autom. Sinica, 2022

Learning Equivariant Segmentation with Instance-Unique Querying.

Wenguan Wang, James Liang, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Proficiency Prediction System for Online Learning Based on Recurrent Neural Networks.

You-Xuan Huang, Nen-Fu Huang, Jian-Wei Tzeng, James Liang, Ching-Wei Su, Yao-Ting Li

Proceedings of the 9th International Conference on Soft Computing & Machine Intelligence, 2022

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches.

Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang

Proceedings of the Computer Vision - ECCV 2022, 2022