James Liang - RankMe

19 papers A* 4A 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction. Comput. Methods Programs Biomed. Xiang Liu, James Liang, Jianwei Zhang, Zihan Qian, Phoebe Xing, Taige Chen, Shanchieh Yang, Chijioke Chukwudi, Liang Qiu, Dongfang Liu, Junhan Zhao
2025	A	`conf`	Efficient and Accurate Low-Resolution Transformer Tracking. IROS Shaohua Dong, Yunhe Feng, James Liang, Qing Yang, Yuewei Lin, Heng Fan
2024	—	`conf`	Enhancing Drug-Related Data Exchange: Advanced Technical Support for Interoperability. MIE James Liang, Jean Noël Nikiema
2024	J	`jnl`	Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective. J. Biomed. Informatics Jean Noël Nikiema, James Liang, Man Qing Liang, Davllyn dos Anjos, Aude Motulsky
2024	A*	`conf`	M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 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
2024	J	`jnl`	Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2024	J	`jnl`	Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
2023	A*	`conf`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. ICLR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	J	`jnl`	Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks. CoRR Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
2023	J	`jnl`	CLUSTSEG: Clustering for Universal Segmentation. CoRR James Liang, Tianfei Zhou, Dongfang Liu, Wenguan Wang
2023	A*	`conf`	ClusterFomer: Clustering As A Universal Visual Learner. NeurIPS James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang, Dongfang Liu
2023	J	`jnl`	Fusion is Not Enough: Single-Modal Attacks to Compromise Fusion Models in Autonomous Driving. CoRR Zhiyuan Cheng, Hongjun Choi, James Liang, Shiwei Feng, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
2023	J	`jnl`	Tripartite Feature Enhanced Pyramid Network for Dense Prediction. IEEE Trans. Image Process. Dongfang Liu, James Liang, Tony Geng, Alexander C. Loui, Tianfei Zhou
2022	J	`jnl`	A Triangulation-Based Visual Localization for Field Robots. IEEE CAA J. Autom. Sinica James Liang, Yuxing Wang, Yingjie Victor Chen, Baijian Yang, Dongfang Liu
2022	A*	`conf`	Learning Equivariant Segmentation with Instance-Unique Querying. NeurIPS Wenguan Wang, James Liang, Dongfang Liu
2022	J	`jnl`	Learning Equivariant Segmentation with Instance-Unique Querying. CoRR Wenguan Wang, James Liang, Dongfang Liu
2022	—	`conf`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. ECCV (38) Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	J	`jnl`	Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches. CoRR Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
2022	—	`conf`	Proficiency Prediction System for Online Learning Based on Recurrent Neural Networks. ISCMI You-Xuan Huang, Nen-Fu Huang, Jian-Wei Tzeng, James Liang, Ching-Wei Su, Yao-Ting Li