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2020 – today
- 2024
[j3]Jean Noël Nikiema
, James Liang, Man Qing Liang, Davllyn dos Anjos, Aude Motulsky:
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective. J. Biomed. Informatics 151: 104614 (2024)- [c10]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 - [c9]Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang:
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection. ICLR 2024 - [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, 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 - [c6]James Liang, Jean Noël Nikiema:
Enhancing Drug-Related Data Exchange: Advanced Technical Support for Interoperability. MIE 2024: 1285-1286 - [i12]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) - [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]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) - [i9]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:
Inertial Confinement Fusion Forecasting via LLMs. CoRR abs/2407.11098 (2024) - [i8]Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng:
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. CoRR abs/2408.02693 (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) - 2023
- [j2]Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou:
Tripartite Feature Enhanced Pyramid Network for Dense Prediction. IEEE Trans. Image Process. 32: 2678-2692 (2023) - [c5]Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang:
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. ICLR 2023 - [c4]James Chenhao Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang:
CLUSTSEG: Clustering for Universal Segmentation. ICML 2023: 20787-20809 - [c3]James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS 2023 - [i6]Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang:
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. CoRR abs/2301.13487 (2023) - [i5]Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang:
Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR abs/2304.14614 (2023) - [i4]James Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang:
CLUSTSEG: Clustering for Universal Segmentation. CoRR abs/2305.02187 (2023) - [i3]James Chenhao Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu:
ClusterFormer: Clustering As A Universal Visual Learner. CoRR abs/2309.13196 (2023) - 2022
- [j1]James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Justin Yang, Dongfang Liu:
A Triangulation-Based Visual Localization for Field Robots. IEEE CAA J. Autom. Sinica 9(6): 1083-1086 (2022) - [c2]Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang:
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) 2022: 514-532 - [c1]Wenguan Wang, James Liang, Dongfang Liu:
Learning Equivariant Segmentation with Instance-Unique Querying. NeurIPS 2022 - [i2]Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang:
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR abs/2207.04718 (2022) - [i1]Wenguan Wang, James Liang, Dongfang Liu:
Learning Equivariant Segmentation with Instance-Unique Querying. CoRR abs/2210.00911 (2022)
Coauthor Index
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