Tianjiao Ding - RankMe

25 papers A* 11Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hierarchical Concept Embedding & Pursuit for Interpretable Image Classification. CoRR Nghia Nguyen, Tianjiao Ding, René Vidal
2025	J	`jnl`	An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. CoRR Laura Balzano, Tianjiao Ding, Benjamin D. Haeffele, Soo Min Kwon, Qing Qu, Peng Wang, Zhangyang Wang, Can Yaras
2025	A*	`conf`	Concept Lancet: Image Editing with Compositional Representation Transplant. CVPR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Concept Lancet: Image Editing with Compositional Representation Transplant. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal
2025	J	`jnl`	Limb movement detection and analysis based on visual recognition of human posture. Discov. Artif. Intell. Zhiguo Xiao, Chunxiang Wang, Tianjiao Ding, Xiangfeng Shen, Xinyuan Li, Dongni Li
2025	A*	`conf`	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. ICLR Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele
2025	J	`jnl`	Voyaging into Unbounded Dynamic Scenes from a Single View. CoRR Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, René Vidal
2024	A*	`conf`	Geometric Analysis of Nonlinear Manifold Clustering. NeurIPS Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal
2024	—	`conf`	HARD: Hyperplane ARrangement Descent. CPAL Tianjiao Ding, Liangzu Peng, René Vidal
2024	A*	`conf`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. ICLR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2024	A*	`conf`	PaCE: Parsimonious Concept Engineering for Large Language Models. NeurIPS Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2024	J	`jnl`	PaCE: Parsimonious Concept Engineering for Large Language Models. CoRR Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
2024	J	`jnl`	Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction. CoRR Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin D. Haeffele
2023	J	`jnl`	Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment. IEEE Access Nianfeng Li, Xiangfeng Shen, Liyan Sun, Zhiguo Xiao, Tianjiao Ding, Tiansheng Li, Xinhang Li
2023	J	`jnl`	Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models. CoRR Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, René Vidal, Yi Ma
2023	A*	`conf`	Unsupervised Manifold Linearizing and Clustering. ICCV Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2023	J	`jnl`	Unsupervised Manifold Linearizing and Clustering. CoRR Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele
2022	A*	`conf`	Efficient Maximal Coding Rate Reduction by Variational Forms. CVPR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	J	`jnl`	Efficient Maximal Coding Rate Reduction by Variational Forms. CoRR Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele
2022	A*	`conf`	Understanding Doubly Stochastic Clustering. ICML Tianjiao Ding, Derek Lim, René Vidal, Benjamin D. Haeffele
2021	J	`jnl`	Boosting RANSAC via Dual Principal Component Pursuit. CoRR Yunchen Yang, Xinyue Zhang, Tianjiao Ding, Daniel P. Robinson, René Vidal, Manolis C. Tsakiris
2020	J	`jnl`	Learning to Parse Wireframes in Images of Man-Made Environments. CoRR Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma
2020	A*	`conf`	Robust Homography Estimation via Dual Principal Component Pursuit. CVPR Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, René Vidal, Laurent Kneip, Manolis C. Tsakiris
2019	A*	`conf`	Noisy Dual Principal Component Pursuit. ICML Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Daniel P. Robinson, Manolis C. Tsakiris, René Vidal
2018	A*	`conf`	Learning to Parse Wireframes in Images of Man-Made Environments. CVPR Kun Huang, Yifan Wang, Zihan Zhou, Tianjiao Ding, Shenghua Gao, Yi Ma