EX
Eric Xing
cs.LGstat.MLcs.AIcs.CVcs.CLbioinformaticscs.DCstat.MEModels, Geneticq-bio.QM
On Valency
published · living versionsW_u7fa5rax·v1 · currentpublished
MLSys: The New Frontier of Machine Learning Systems
with Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen +64
1 version
Preprints & journals
445 papers in the corpus · 1999–2026How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.39398201 · Bunne, Charlotte, Roohani, Yusuf, Rosen, Yanay et al.2026 · 385 citationsArXiv. 2024
Esoteric Language Models: A Family of Any-Order Diffusion LLMs2506.01928v5 · Subham Sekhar Sahoo, Zhihan Yang, Yash Akhauri et al.2025 · 0 citationsarXiv
PertAdapt: unlocking single-cell foundation models for genetic perturbation prediction via condition-sensitive adaptation.42412811 · Bai, Ding, Song, Le, Xing, Eric P2026 · 0 citationsBioinformatics (Oxford, England). 2026;42(1)
Petuum: A New Platform for Distributed Machine Learning on Big Data1312.7651v2 · Eric P. Xing, Qirong Ho, Wei Dai et al.2013 · 407 citationsarXiv
General Agentic Planning Through Simulative Reasoning with World Models2507.23773v3 · Mingkai Deng, Jinyu Hou, Zhiting Hu et al.2025 · 1 citationarXiv
Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards2510.01544v2 · Shaoan Xie, Lingjing Kong, Xiangchen Song et al.2025 · 0 citationsarXiv
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees2507.22264v2 · Shaoan Xie, Lingjing Kong, Yujia Zheng et al.2025 · 0 citationsarXiv
PRISM: Enhancing Protein Inverse Folding through Fine-Grained Retrieval on Structure-Sequence Multimodal Representations2510.11750v2 · Sazan Mahbub, Souvik Kundu, Eric P. Xing2025 · 0 citationsarXiv
Scaling Structure Aware Virtual Screening to Billions of Molecules with SPRINT.39975427 · McNutt, Andrew T, Adduri, Abhinav K, Ellington, Caleb N et al.2026 · 3 citationsArXiv. 2025
Log-Linear Attention2506.04761v3 · Han Guo, Songlin Yang, Tarushii Goel et al.2025 · 0 citationsarXiv
LAPS: A Length-Aware-Prefill LLM Serving System2601.11589v2 · Jianshu She, Zonghang Li, Hongchao Du et al.2026 · 0 citationsarXiv
In-context Learning of Evolving Data Streams with Tabular Foundational Models2502.16840v2 · Afonso Lourenco, Joao Gama, Eric P. Xing et al.2025 · 1 citationarXiv
PertAdapt: Unlocking Single-Cell Foundation Models for Genetic Perturbation Prediction via Condition-Sensitive Adaptation10.1101/2025.11.21.689655v1 · Bai, D., Song, L., Xing, E.2025 · 0 citationsbioRxiv
Generative AI for Biosciences: Emerging Threats and Roadmap to Biosecurity2510.15975v2 · Zaixi Zhang, Souradip Chakraborty, Amrit Singh Bedi et al.2025 · 0 citationsarXiv
VSA: Faster Video Diffusion with Trainable Sparse Attention2505.13389v5 · Peiyuan Zhang, Yongqi Chen, Haofeng Huang et al.2025 · 0 citationsarXiv
Efficient Long-context Language Model Training by Core Attention Disaggregation2510.18121v1 · Yonghao Zhuang, Junda Chen, Bo Pang et al.2025 · 0 citationsarXiv
Response to Promises and Pitfalls of Deep Kernel Learning2509.21228v1 · Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov et al.2025 · 0 citationsarXiv
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing2502.01976v6 · Wenhao Zheng, Yixiao Chen, Weitong Zhang et al.2025 · 0 citationsarXiv
A call for built-in biosecurity safeguards for generative AI tools.40295784 · Wang, Mengdi, Zhang, Zaixi, Bedi, Amrit Singh et al.2025 · 30 citationsNature biotechnology. 2025;43(6):845-847
Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization2506.05957v4 · Tianjun Yao, Haoxuan Li, Yongqiang Chen et al.2025 · 0 citationsarXiv
Memory-adaptive Depth-wise Heterogeneous Federated Learning2303.04887v3 · Kai Zhang, Yutong Dai, Hongyi Wang et al.2023 · 1 citationarXiv
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models2508.11953v1 · Yuan Li, Zhengzhong Liu, Eric Xing2025 · 0 citationsarXiv
Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation2508.12680v1 · Yuheng Zha, Kun Zhou, Yujia Wu et al.2025 · 0 citationsarXiv
Retrieval Augmented Protein Language Models for Protein Structure Prediction10.1101/2024.12.02.626519v2 · Li, P., Cheng, X., Song, L. et al.2024 · 8 citationsbioRxiv
How Does Controllability Emerge In Language Models During Pretraining?2508.01892v1 · Jianshu She, Xinyue Li, Eric Xing et al.2025 · 0 citationsarXiv
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs2503.12347v2 · Bowen Tan, Zheng Xu, Eric Xing et al.2025 · 0 citationsarXiv
Towards Open-World Generation of Stereo Images and Unsupervised Matching2503.12720v2 · Feng Qiao, Zhexiao Xiong, Eric Xing et al.2025 · 1 citationarXiv
Multimodal Benchmarking of Foundation Model Representations for Cellular Perturbation Response Prediction10.1101/2025.06.26.661186v2 · Hasanaj, E., Cole, E., Mohammadi, S. et al.2025 · 5 citationsbioRxiv
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts2507.04569v1 · Guokan Shang, Hadi Abdine, Ahmad Chamma et al.2025 · 0 citationsarXiv
AIDO.Tissue: Spatial Cell-Guided Pretraining for Scalable Spatial Transcriptomics Foundation Model10.1101/2025.07.04.663102v1 · Gong, J., Wang, Y., Ho, N. et al.2025 · 0 citationsbioRxiv
Uncertainty-Aware Discrete Diffusion Improves Protein Design10.1101/2025.06.30.662407v1 · Mahbub, S., Feinauer, C., Ellington, C. N. et al.2025 · 0 citationsbioRxiv
Rapid and Reproducible Multimodal Biological Foundation Model Development with AIDO.ModelGenerator10.1101/2025.06.30.662437v1 · Ellington, C. N., Li, D., Zou, S. et al.2025 · 1 citationbioRxiv
Global and Local Entailment Learning for Natural World Imagery2506.21476v1 · Srikumar Sastry, Aayush Dhakal, Eric Xing et al.2025 · 0 citationsarXiv
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography.33620460 · Du, Xuefeng, Wang, Haohan, Zhu, Zhenxi et al.2025 · 14 citationsBioinformatics (Oxford, England). 2021;37(16):2340-2346
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism2504.18574v2 · Aviv Bick, Eric Xing, Albert Gu2025 · 0 citationsarXiv
lmgame-Bench: How Good are LLMs at Playing Games?2505.15146v2 · Lanxiang Hu, Mingjia Huo, Yuxuan Zhang et al.2025 · 0 citationsarXiv
Mixed Membership Stochastic Blockmodels.21701698 · Airoldi, Edoardo M, Blei, David M, Fienberg, Stephen E et al.2025 · 1,506 citationsJournal of machine learning research : JMLR. 2008;9:1981-2014
QuARI: Query Adaptive Retrieval Improvement2505.21647v1 · Eric Xing, Abby Stylianou, Robert Pless et al.2025 · 0 citationsarXiv
ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval2505.20764v1 · Eric Xing, Pranavi Kolouju, Robert Pless et al.2025 · 3 citationsarXiv
Learning to estimate sample-specific transcriptional networks for 7,000 tumors.40408406 · Ellington, Caleb N, Lengerich, Benjamin J, Watkins, Thomas B K et al.2025 · 1 citationProceedings of the National Academy of Sciences of the United States of America. 2025;122(21):e2411930122
A foundation model of transcription across human cell types.39779852 · Fu, Xi, Mo, Shentong, Buendia, Alejandro et al.2025 · 117 citationsNature. 2025;637(8047):965-973
Learning to Estimate Sample-specific Transcriptional Networks for 7000 Tumors10.1101/2023.12.01.569658v2 · Ellington, C. N., Lengerich, B. J., Watkins, T. B. et al.2023 · 6 citationsbioRxiv
Interaction of N-methylmesoporphyrin IX with a hybrid left-/right-handed G-quadruplex motif from the promoter of the SLC2A1 gene.39704129 · Seth, Paul, Xing, Eric, Hendrickson, Andrew D et al.2025 · 6 citationsNucleic acids research. 2025;53(2)
Token Level Routing Inference System for Edge Devices2504.07878v1 · Jianshu She, Wenhao Zheng, Zhengzhong Liu et al.2025 · 1 citationarXiv
RANGE: Retrieval Augmented Neural Fields for Multi-Resolution Geo-Embeddings2502.19781v2 · Aayush Dhakal, Srikumar Sastry, Subash Khanal et al.2025 · 5 citationsarXiv
Causal Representation Learning from Multi-modal Biomedical Observations.40160453 · Sun, Yuewen, Kong, Lingjing, Chen, Guangyi et al.2025 · 0 citationsArXiv. 2025
MegaMath: Pushing the Limits of Open Math Corpora2504.02807v1 · Fan Zhou, Zengzhi Wang, Nikhil Ranjan et al.2025 · 0 citationsarXiv
VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos2411.04923v3 · Shehan Munasinghe, Hanan Gani, Wenqi Zhu et al.2024 · 15 citationsarXiv
good4cir: Generating Detailed Synthetic Captions for Composed Image Retrieval2503.17871v1 · Pranavi Kolouju, Eric Xing, Robert Pless et al.2025 · 0 citationsarXiv
Causal Representation Learning from Multimodal Biomedical Observations2411.06518v3 · Yuewen Sun, Lingjing Kong, Guangyi Chen et al.2024 · 1 citationarXiv
Career total: 859 works. 445 are in this corpus.Showing the 50 most recent.
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