Eric Xing

22 papers A* 4B 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
LAPS: A Length-Aware-Prefill LLM Serving System.
CoRR
Jianshu She, Zonghang Li, Hongchao Du, Shangyu Wu, Wenhao Zheng, Eric Xing, Zhengzhong Liu, Huaxiu Yao, Jason Xue, Qirong Ho
2025 A* conf
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval.
CVPR
Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs
2025 J jnl
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval.
CoRR
Eric Xing, Pranavi Kolouju, Robert Pless, Abby Stylianou, Nathan Jacobs
2025 J jnl
Efficient Long-context Language Model Training by Core Attention Disaggregation.
CoRR
Yonghao Zhuang, Junda Chen, Bo Pang, Yi Gu, Yibo Zhu, Yimin Jiang, Ion Stoica, Eric Xing, Hao Zhang
2025 J jnl
Esoteric Language Models.
CoRR
Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri, Johnna Liu, Deepansha Singh, Zhoujun Cheng, Zhengzhong Liu, Eric Xing, John Thickstun, Arash Vahdat
2025 J jnl
GenStereo: Towards Open-World Generation of Stereo Images and Unsupervised Matching.
CoRR
Feng Qiao, Zhexiao Xiong, Eric Xing, Nathan Jacobs
2025 J jnl
Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity.
CoRR
Zaixi Zhang, Souradip Chakraborty, Amrit Singh Bedi, Emilin Mathew, Varsha Saravanan, Le Cong, Alvaro Velasquez, Sheng Lin-Gibson, Megan Blewett, Dan Hendrycs, Alex John London, Ellen Zhong, Ben Raphael, Jian Ma, Eric Xing, Russ Altman, George Church, Mengdi Wang
2025 J jnl
Global and Local Entailment Learning for Natural World Imagery.
CoRR
Srikumar Sastry, Aayush Dhakal, Eric Xing, Subash Khanal, Nathan Jacobs
2025 J jnl
QuARI: Query Adaptive Retrieval Improvement.
CoRR
Eric Xing, Abby Stylianou, Robert Pless, Nathan Jacobs
2025 A* conf
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings.
CVPR
Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025 J jnl
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings.
CoRR
Aayush Dhakal, Srikumar Sastry, Subash Khanal, Adeel Ahmad, Eric Xing, Nathan Jacobs
2025 J jnl
VSA: Faster Video Diffusion with Trainable Sparse Attention.
CoRR
Peiyuan Zhang, Haofeng Huang, Yongqi Chen, Will Lin, Zhengzhong Liu, Ion Stoica, Eric Xing, Hao Zhang
2025 — conf
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval.
CVPR Workshops
Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou
2025 J jnl
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval.
CoRR
Pranavi Kolouju, Eric Xing, Robert Pless, Nathan Jacobs, Abby Stylianou
2024 A* conf
ALISON: Fast and Effective Stylometric Authorship Obfuscation.
AAAI
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
2024 J jnl
ALISON: Fast and Effective Stylometric Authorship Obfuscation.
CoRR
Eric Xing, Saranya Venkatraman, Thai Le, Dongwon Lee
2024 J jnl
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR
Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake
2024 A* conf
PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping.
ACM Multimedia
Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2024 J jnl
PSM: Learning Probabilistic Embeddings for Multi-scale Zero-Shot Soundscape Mapping.
CoRR
Subash Khanal, Eric Xing, Srikumar Sastry, Aayush Dhakal, Zhexiao Xiong, Adeel Ahmad, Nathan Jacobs
2023 — conf
A Toolkit for Assessments in Introductory Programming Courses.
SIGCSE (2)
Eric Xing, Guangming Xing
2022 — conf
Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space.
EMBC
Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang
2022 B conf
Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity.
ICPR
Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang