Ding, Tianjiao

11 publications

CVPR 2025 Concept Lancet: Image Editing with Compositional Representation Transplant Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, Rene Vidal

ICLR 2025 Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction Ziyang Wu, Tianjiao Ding, Yifu Lu, Druv Pai, Jingyuan Zhang, Weida Wang, Yaodong Yu, Yi Ma, Benjamin David Haeffele

ICCV 2025 Voyaging into Perpetual Dynamic Scenes from a Single View Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, Rene Vidal

NeurIPS 2024 Geometric Analysis of Nonlinear Manifold Clustering Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal

CPAL 2024 HARD: Hyperplane ARrangement Descent Tianjiao Ding, Liangzu Peng, Rene Vidal

ICLR 2024 Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models Tianzhe Chu, Shengbang Tong, Tianjiao Ding, Xili Dai, Benjamin David Haeffele, Rene Vidal, Yi Ma

NeurIPS 2024 PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal

ICCV 2023 Unsupervised Manifold Linearizing and Clustering Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele

CVPR 2022 Efficient Maximal Coding Rate Reduction by Variational Forms Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele

ICML 2022 Understanding Doubly Stochastic Clustering Tianjiao Ding, Derek Lim, Rene Vidal, Benjamin D Haeffele

ICML 2019 Noisy Dual Principal Component Pursuit Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris, Daniel Robinson