Harnessing the Conditioning Sensorium for Improved Image Translation. - Cooper Nederhood; Nicholas I. Kolkin; Deqing Fu; Jason Salavon (ICCV, 2021)

Topological Regularization for Dense Prediction. - Deqing Fu; Bradley J. Nelson (ICMLA, 2022)

SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. - Deqing Fu; Ameya Godbole; Robin Jia (EMNLP, 2023)

Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models. - Deqing Fu; Tian-Qi Chen; Robin Jia; Vatsal Sharan (CoRR, 2023)

Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression. - Deqing Fu; Tian-Qi Chen; Robin Jia; Vatsal Sharan (NeurIPS, 2024)

Pre-trained Large Language Models Use Fourier Features to Compute Addition. - Tianyi Zhou 011; Deqing Fu; Vatsal Sharan; Robin Jia (NeurIPS, 2024)

DeLLMa: A Framework for Decision Making Under Uncertainty with Large Language Models. - Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger (CoRR, 2024)

Simplicity Bias of Transformers to Learn Low Sensitivity Functions. - Bhavya Vasudeva; Deqing Fu; Tianyi Zhou 011; Elliott Kau; Youqi Huang; Vatsal Sharan (CoRR, 2024)

IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. - Deqing Fu; Ghazal Khalighinejad; Ollie Liu; Bhuwan Dhingra; Dani Yogatama; Robin Jia; Willie Neiswanger (CoRR, 2024)

VisualLens: Personalization through Visual History. - Wang Bill Zhu; Deqing Fu; Kai Sun; Yi Lu; Zhaojiang Lin; Seungwhan Moon; Kanika Narang; Mustafa Canim; Yue Liu; Anuj Kumar; Xin Luna Dong (CoRR, 2024)

TLDR: Token-Level Detective Reward Model for Large Vision Language Models. - Deqing Fu; Tong Xiao; Rui Wang; Wang Zhu 001; Pengchuan Zhang; Guan Pang; Robin Jia; Lawrence Chen 002 (ICLR, 2025)

DeLLMa: Decision Making Under Uncertainty with Large Language Models. - Ollie Liu; Deqing Fu; Dani Yogatama; Willie Neiswanger (ICLR, 2025)

Transformers Learn Low Sensitivity Functions: Investigations and Implications. - Bhavya Vasudeva; Deqing Fu; Tianyi Zhou 011; Elliott Kau; Youqi Huang; Vatsal Sharan (ICLR, 2025)

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. - Jiao Sun; Deqing Fu; Yushi Hu; Su Wang 001; Royi Rassin; Da-Cheng Juan; Dana Alon; Charles Herrmann; Sjoerd van Steenkiste; Ranjay Krishna; Cyrus Rashtchian (NAACL (Long Papers), 2025)

FoNE: Precise Single-Token Number Embeddings via Fourier Features. - Tianyi Zhou 011; Deqing Fu; Mahdi Soltanolkotabi; Robin Jia; Vatsal Sharan (CoRR, 2025)

Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. - Woody Haosheng Gan; Deqing Fu; Julian Asilis; Ollie Liu; Dani Yogatama; Vatsal Sharan; Robin Jia; Willie Neiswanger (CoRR, 2025)

Resa: Transparent Reasoning Models via SAEs. - Shangshang Wang; Julian Asilis; Ömer Faruk Akgül; Enes Burak Bilgin; Ollie Liu; Deqing Fu; Willie Neiswanger (CoRR, 2025)

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning. - Ang Li; Charles Wang; Kaiyu Yue; Zikui Cai; Ollie Liu; Deqing Fu; Peng Guo; Wang Bill Zhu; Vatsal Sharan; Robin Jia; Willie Neiswanger; Furong Huang; et al. (CoRR, 2025)