Recognizing Families In the Wild (RFIW): The 4th Edition. - Joseph P. Robinson; Yu Yin 001; Zaid Khan 001; Ming Shao; Siyu Xia; Michael Stopa; Samson Timoner; Matthew A. Turk; Rama Chellappa; Yun Fu 001 (FG, 2020)

Families In Wild Multimedia (FIW-MM): A Multi-Modal Database for Recognizing Kinship. - Joseph P. Robinson; Zaid Khan 001; Yu Yin 001; Ming Shao; Yun Fu 001 (CoRR, 2020)

One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision. - Zaid Khan 001; Yun Fu 001 (FAccT, 2021)

Exploiting BERT for Multimodal Target Sentiment Classification through Input Space Translation. - Zaid Khan 001; Yun Fu 001 (ACM Multimedia, 2021)

Single-Stream Multi-level Alignment for Vision-Language Pretraining. - Zaid Khan 001; B. G. Vijay Kumar; Xiang Yu 002; Samuel Schulter; Manmohan Chandraker; Yun Fu 001 (ECCV (36), 2022)

Families in Wild Multimedia: A Multimodal Database for Recognizing Kinship. - Joseph P. Robinson; Zaid Khan 001; Yu Yin 001; Ming Shao; Yun Fu 001 (IEEE Trans. Multim., 2022)

Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images! - Zaid Khan 001; B. G. Vijay Kumar; Samuel Schulter; Xiang Yu 002; Yun Fu 001; Manmohan Chandraker (CVPR, 2023)

Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning. - Zaid Khan 001; Yun Fu 001 (ICLR, 2023)

Exploring Question Decomposition for Zero-Shot VQA. - Zaid Khan 001; Vijay Kumar B. G; Samuel Schulter; Manmohan Chandraker; Yun Fu 001 (NeurIPS, 2023)

Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering. - Zaid Khan 001; Yun Fu 001 (CVPR, 2024)

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement. - Zaid Khan 001; Vijay Kumar B. G; Samuel Schulter; Yun Fu 001; Manmohan Chandraker (CVPR, 2024)

DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. - Zaid Khan 001; Elias Stengel-Eskin; Jaemin Cho 001; Mohit Bansal (ICLR, 2025)

Learning to Generate Unit Tests for Automated Debugging. - Archiki Prasad; Elias Stengel-Eskin; Justin Chih-Yao Chen; Zaid Khan 001; Mohit Bansal (CoRR, 2025)

MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use. - Zaid Khan 001; Ali Farhadi; Ranjay Krishna; Luca Weihs; Mohit Bansal; Tanmay Gupta (CoRR, 2025)

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning. - Fucai Ke; Vijay Kumar B. G; Xingjian Leng; Zhixi Cai; Zaid Khan 001; Weiqing Wang 001; Pari Delir Haghighi; Hamid Rezatofighi; Manmohan Chandraker (CoRR, 2025)

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems. - Zaid Khan 001; Elias Stengel-Eskin; Archiki Prasad; Jaemin Cho 001; Mohit Bansal (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)