Learning to Parse Wireframes in Images of Man-Made Environments. - Kun Huang 001; Yifan Wang; Zihan Zhou 001; Tianjiao Ding; Shenghua Gao; Yi Ma 001 (CVPR, 2018)

Noisy Dual Principal Component Pursuit. - Tianyu Ding; Zhihui Zhu; Tianjiao Ding; Yunchen Yang; Daniel P. Robinson; Manolis C. Tsakiris; René Vidal (ICML, 2019)

Robust Homography Estimation via Dual Principal Component Pursuit. - Tianjiao Ding; Yunchen Yang; Zhihui Zhu; Daniel P. Robinson; René Vidal; Laurent Kneip; Manolis C. Tsakiris (CVPR, 2020)

Boosting RANSAC via Dual Principal Component Pursuit. - Yunchen Yang; Xinyue Zhang; Tianjiao Ding; Daniel P. Robinson; René Vidal; Manolis C. Tsakiris (CoRR, 2021)

Efficient Maximal Coding Rate Reduction by Variational Forms. - Christina Baek; Ziyang Wu; Kwan Ho Ryan Chan; Tianjiao Ding; Yi Ma 001; Benjamin D. Haeffele (CVPR, 2022)

Understanding Doubly Stochastic Clustering. - Tianjiao Ding; Derek Lim; René Vidal; Benjamin D. Haeffele (ICML, 2022)

Unsupervised Manifold Linearizing and Clustering. - Tianjiao Ding; Shengbang Tong; Kwan Ho Ryan Chan; Xili Dai; Yi Ma 001; Benjamin D. Haeffele (ICCV, 2023)

Chinese Face Dataset for Face Recognition in an Uncontrolled Classroom Environment. - Nianfeng Li; Xiangfeng Shen; Liyan Sun; Zhiguo Xiao; Tianjiao Ding; Tiansheng Li; Xinhang Li (IEEE Access, 2023)

HARD: Hyperplane ARrangement Descent. - Tianjiao Ding; Liangzu Peng; René Vidal (CPAL, 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; René Vidal; Yi Ma 001 (ICLR, 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 (NeurIPS, 2024)

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

Concept Lancet: Image Editing with Compositional Representation Transplant. - Jinqi Luo; Tianjiao Ding; Kwan Ho Ryan Chan; Hancheng Min; Chris Callison-Burch; René Vidal (CVPR, 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 001; Benjamin David Haeffele (ICLR, 2025)

An Overview of Low-Rank Structures in the Training and Adaptation of Large Models. - Laura Balzano; Tianjiao Ding; Benjamin D. Haeffele; Soo Min Kwon; Qing Qu 001; Peng Wang 098; Zhangyang Wang; Can Yaras (CoRR, 2025)

Voyaging into Unbounded Dynamic Scenes from a Single View. - Fengrui Tian; Tianjiao Ding; Jinqi Luo; Hancheng Min; René Vidal (CoRR, 2025)

Limb movement detection and analysis based on visual recognition of human posture. - Zhiguo Xiao; Chunxiang Wang; Tianjiao Ding; Xiangfeng Shen; Xinyuan Li; Dongni Li (Discov. Artif. Intell., 2025)