Hand Pose-based Task Learning from Visual Observations with Semantic Skill Extraction. - Zeju Qiu; Thomas Eiband; Shile Li; Dongheui Lee (RO-MAN, 2020)

3D Multi-Object Tracking with Differentiable Pose Estimation. - Dominik Schmauser; Zeju Qiu; Norman Müller; Matthias Nießner (CoRR, 2022)

Iterative Teaching by Data Hallucination. - Zeju Qiu; Weiyang Liu; Tim Z. Xiao; Zhen Liu 019; Umang Bhatt; Yucen Luo; Adrian Weller; Bernhard Schölkopf (AISTATS, 2023)

Controlling Text-to-Image Diffusion by Orthogonal Finetuning. - Zeju Qiu; Weiyang Liu; Haiwen Feng; Yuxuan Xue; Yao Feng 001; Zhen Liu 019; Dan Zhang; Adrian Weller; Bernhard Schölkopf (NeurIPS, 2023)

In Defense of Structural Sparse Adapters for Concurrent LLM Serving. - Junda Su; Zirui Liu 001; Zeju Qiu; Weiyang Liu; Zhaozhuo Xu (EMNLP (Findings), 2024)

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. - Weiyang Liu; Zeju Qiu; Yao Feng 001; Yuliang Xiu; Yuxuan Xue; Longhui Yu; Haiwen Feng; Zhen Liu 019; Juyeon Heo; Songyou Peng; Yandong Wen; Michael J. Black; et al. (ICLR, 2024)

Can Large Language Models Understand Symbolic Graphics Programs? - Zeju Qiu; Weiyang Liu; Haiwen Feng; Zhen Liu 019; Tim Z. Xiao; Katherine M. Collins; Joshua B. Tenenbaum; Adrian Weller; Michael J. Black; Bernhard Schölkopf (ICLR, 2025)

Reparameterized LLM Training via Orthogonal Equivalence Transformation. - Zeju Qiu; Simon Buchholz; Tim Z. Xiao; Maximilian Dax; Bernhard Schölkopf; Weiyang Liu (CoRR, 2025)

Orthogonal Finetuning Made Scalable. - Zeju Qiu; Weiyang Liu; Adrian Weller; Bernhard Schölkopf (CoRR, 2025)