Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. - Zhiyuan Cheng 010; James Liang; Hongjun Choi; Guanhong Tao 001; Zhiwen Cao; Dongfang Liu; Xiangyu Zhang 001 (ECCV (38), 2022)

Proficiency Prediction System for Online Learning Based on Recurrent Neural Networks. - You-Xuan Huang; Nen-Fu Huang; Jiang-Wei Tzeng; James Liang; Ching-Wei Su; Yao-Ting Li (ISCMI, 2022)

Learning Equivariant Segmentation with Instance-Unique Querying. - Wenguan Wang; James Liang; Dongfang Liu (NeurIPS, 2022)

A Triangulation-Based Visual Localization for Field Robots. - James Liang; Yuxing Wang; Yingjie Victor Chen; Baijian Yang 001; Dongfang Liu (IEEE CAA J. Autom. Sinica, 2022)

Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. - Zhiyuan Cheng 010; James Liang; Guanhong Tao 001; Dongfang Liu; Xiangyu Zhang 001 (ICLR, 2023)

CLUSTSEG: Clustering for Universal Segmentation. - James Chenhao Liang; Tianfei Zhou; Dongfang Liu; Wenguan Wang (ICML, 2023)

ClusterFomer: Clustering As A Universal Visual Learner. - James Liang; Yiming Cui 002; Qifan Wang 001; Tong Geng; Wenguan Wang; Dongfang Liu (NeurIPS, 2023)

Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. - Zhiyuan Cheng 010; Hongjun Choi; James Liang; Shiwei Feng 002; Guanhong Tao 001; Dongfang Liu; Michael Zuzak; Xiangyu Zhang 001 (CoRR, 2023)

ClusterFormer: Clustering As A Universal Visual Learner. - James Chenhao Liang; Yiming Cui 002; Qifan Wang 001; Tong Geng; Wenguan Wang; Dongfang Liu (CoRR, 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)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. - Zhiyuan Cheng 010; Hongjun Choi; Shiwei Feng 002; James Chenhao Liang; Guanhong Tao 001; Dongfang Liu; Michael Zuzak; Xiangyu Zhang 001 (ICLR, 2024)

Image Translation as Diffusion Visual Programmers. - Cheng Han 001; James Chenhao Liang; Qifan Wang 001; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Ying Nian Wu; Dongfang Liu (ICLR, 2024)

Prototypical Transformer As Unified Motion Learners. - Cheng Han 001; Yawen Lu; Guohao Sun; James Chenhao Liang; Zhiwen Cao; Qifan Wang 001; Qiang Guan; Sohail A. Dianat; Raghuveer Rao; Tong Geng; Zhiqiang Tao; Dongfang Liu (ICML, 2024)

Enhancing Drug-Related Data Exchange: Advanced Technical Support for Interoperability. - James Liang; Jean Noël Nikiema (MIE, 2024)

Inertial Confinement Fusion Forecasting via LLMs. - Mingkai Chen; Taowen Wang; James Chenhao Liang; Chuan Liu 001; Chunshu Wu; Qifan Wang 001; Ying Nian Wu; Michael Huang; Chuang Ren; Ang Li 006; Tong Geng; Dongfang Liu (CoRR, 2024)

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Dongfang Liu; Ying Nian Wu; Tong Geng (CoRR, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics. - Taowen Wang; Dongfang Liu; James Chenhao Liang; Wenhao Yang; Qifan Wang 001; Cheng Han 001; Jiebo Luo 001; Ruixiang Tang (CoRR, 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)

Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. - Zhiyuan Cheng 010; Cheng Han 001; James Liang; Qifan Wang 001; Xiangyu Zhang 001; Dongfang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models. - Chuan Liu 001; Chunshu Wu; Shihui Cao; Mingkai Chen; James Chenhao Liang; Ang Li 006; Michael Huang; Chuang Ren; Ying Nian Wu; Dongfang Liu; Tong Geng (ICLR, 2025)

Re-Imagining Multimodal Instruction Tuning: A Representation View. - Yiyang Liu 003; James Chenhao Liang; Ruixiang Tang; Yugyung Lee; Majid Rabbani; Sohail A. Dianat; Raghuveer Rao; Lifu Huang; Dongfang Liu; Qifan Wang 001; Cheng Han 001 (ICLR, 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)