Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space. - Yunni Qu; David Yan; Eric Xing; Fengbo Zheng; Jie Zhang 092; Liangliang Liu 001; Gongbo Liang (EMBC, 2022)

Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. - Eric Xing; Liangliang Liu 001; Xin Xing 002; Yunni Qu; Nathan Jacobs; Gongbo Liang (ICPR, 2022)

A Toolkit for Assessments in Introductory Programming Courses. - Eric Xing; Guangming Xing (SIGCSE (2), 2023)

ALISON: Fast and Effective Stylometric Authorship Obfuscation. - Eric Xing; Saranya Venkatraman; Thai Le; Dongwon Lee 001 (AAAI, 2024)

PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping. - Subash Khanal; Eric Xing; Srikumar Sastry; Aayush Dhakal; Zhexiao Xiong; Adeel Ahmad; Nathan Jacobs (ACM Multimedia, 2024)

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities. - Charlotte Bunne; Yusuf H. Roohani; Yanay Rosen; Ankit Gupta; Xikun Zhang 001; Marcel Roed; Theo Alexandrov; Mohammed AlQuraishi; Patricia Brennan; Daniel B. Burkhardt; Andrea Califano; Jonah Cool; et al. (CoRR, 2024)

RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings. - Aayush Dhakal; Srikumar Sastry; Subash Khanal; Adeel Ahmad; Eric Xing; Nathan Jacobs (CVPR, 2025)

good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval. - Pranavi Kolouju; Eric Xing; Robert Pless; Nathan Jacobs; Abby Stylianou (CVPR Workshops, 2025)

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval. - Eric Xing; Pranavi Kolouju; Robert Pless; Abby Stylianou; Nathan Jacobs (CVPR, 2025)

Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs. - Bowen Tan; Zheng Xu; Eric Xing; Zhiting Hu; Shanshan Wu (CoRR, 2025)

GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching. - Feng Qiao; Zhexiao Xiong; Eric Xing; Nathan Jacobs (CoRR, 2025)

VSA: Faster Video Diffusion with Trainable Sparse Attention. - Peiyuan Zhang; Haofeng Huang; Yongqi Chen; Will Lin; Zhengzhong Liu 001; Ion Stoica; Eric Xing; Hao Zhang 025 (CoRR, 2025)

QuARI: Query Adaptive Retrieval Improvement. - Eric Xing; Abby Stylianou; Robert Pless; Nathan Jacobs (CoRR, 2025)

Esoteric Language Models. - Subham Sekhar Sahoo; Zhihan Yang; Yash Akhauri; Johnna Liu; Deepansha Singh; Zhoujun Cheng; Zhengzhong Liu 001; Eric Xing; John Thickstun; Arash Vahdat (CoRR, 2025)

Global and Local Entailment Learning for Natural World Imagery. - Srikumar Sastry; Aayush Dhakal; Eric Xing; Subash Khanal; Nathan Jacobs (CoRR, 2025)

Critiques of World Models. - Eric Xing; Mingkai Deng; Jinyu Hou; Zhiting Hu (CoRR, 2025)