Multitask Learning With Enhanced Modules. - Zishuo Zheng; Yadong Wei; Zixu Zhao; Xindi Wu; Zhengcheng Li; Pengju Ren (DSP, 2018)

Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. - Xindi Wu; Yijun Mao; Haohan Wang; Xiangrui Zeng; Xin Gao 001; Eric P. Xing; Min Xu 009 (BIBM, 2019)

Deep Self-Paced Learning for Semi-Supervised Person Re-Identification Using Multi-View Self-Paced Clustering. - Xiaomeng Xin; Xindi Wu; Yuechen Wang; Jinjun Wang (ICIP, 2019)

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. - Haohan Wang; Xindi Wu; Pengcheng Yin; Eric P. Xing (CoRR, 2019)

High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks. - Haohan Wang; Xindi Wu; Zeyi Huang; Eric P. Xing (CVPR, 2020)

Squared 𝓁2 Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations. - Haohan Wang; Zeyi Huang; Xindi Wu; Eric P. Xing (CoRR, 2020)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation. - Haohan Wang; Zeyi Huang; Xindi Wu; Eric P. Xing (KDD, 2022)

Pix2Map: Cross-Modal Retrieval for Inferring Street Maps from Images. - Xindi Wu; KwunFung Lau; Francesco Ferroni; Aljosa Osep; Deva Ramanan (CVPR, 2023)

Multimodal Dataset Distillation for Image-Text Retrieval. - Xindi Wu; Zhiwei Deng; Olga Russakovsky (CoRR, 2023)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (ICML, 2024)

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. - Zirui Wang; Mengzhou Xia; Luxi He; Howard Chen 003; Yitao Liu; Richard Zhu; Kaiqu Liang; Xindi Wu; Haotian Liu; Sadhika Malladi; Alexis Chevalier; Sanjeev Arora; et al. (NeurIPS, 2024)

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty. - Xindi Wu; Dingli Yu; Yangsibo Huang; Olga Russakovsky; Sanjeev Arora (NeurIPS, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (CoRR, 2024)

Vision-Language Dataset Distillation. - Xindi Wu; Byron Zhang; Zhiwei Deng; Olga Russakovsky (Trans. Mach. Learn. Res., 2024)

SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? - John Yang 002; Carlos E. Jimenez; Alex L. Zhang; Kilian Lieret; Joyce Yang; Xindi Wu; Ori Press; Niklas Muennighoff; Gabriel Synnaeve; Karthik R. Narasimhan; Diyi Yang; Sida Wang 001; et al. (ICLR, 2025)

Corgi: Cached Memory Guided Video Generation. - Xindi Wu; Uriel Singer; Zhaojiang Lin; Andrea Madotto; Xide Xia; Yifan Xu; Paul A. Crook; Xin Luna Dong; Seungwhan Moon (WACV, 2025)

ICONS: Influence Consensus for Vision-Language Data Selection. - Xindi Wu; Mengzhou Xia; Rulin Shao; Zhiwei Deng; Pang Wei Koh; Olga Russakovsky (CoRR, 2025)

COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning. - Xindi Wu; Hee Seung Hwang; Polina Kirichenko; Olga Russakovsky (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)