About

I am a Ph.D. student in computer science at Stanford University working on machine learning and computational biology. I am very fortunate to be advised by Aaron Newman and Emma Lundberg. My research focuses on the intersection of deep learning, single-cell and spatial omics, with the aim of understanding molecular and cellular compositions of human tissues and translating promising findings into the clinic. Previously I have also worked on graph representation learning, natural language processing and regulatory genomics with Jure Leskovec and Anshul Kundaje.

Before Stanford, I was an AI Resident at Google Research working with Michael Collins on pretraining multimodal vision+language models. I was also a research intern at Google Research in summer 2019 working with Dan Roth and Ian Tenney on probing pretrained language models.

I received my B.S. in computer science at UIUC in 2019. I did research with Jiawei Han on data mining and heterogenous graph representation learning.

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Selected Publications

GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D Manning, Jure Leskovec
ICLR 2022 (Spotlight, Top 5%)
PDF Abstract Bibtex Code Video

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On the opportunities and risks of foundation models
Rishi Bommasani, …, Xikun Zhang, …, Percy Liang (116 authors)
arXiv 2021
PDF Abstract Bibtex Website

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Do Language Embeddings Capture Scales?
Xikun Zhang*, Deepak Ramachandran*, Ian Tenney, Yanai Elazar, Dan Roth (*equal contribution)
Findings of EMNLP 2020
EMNLP BlackboxNLP workshop 2020
PDF Abstract Bibtex Code Blog

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Predicting Embedding Trajectories for Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
KDD 2019 (Oral, Top 9%)
PDF Abstract Bibtex Code Website Video

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Other Publications

Deep Bidirectional Language-Knowledge Graph Pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy Liang*, Jure Leskovec* (*equal contribution)
NeurIPS 2022
AAAI DLG workshop 2023 (Best Paper Award)
PDF Abstract Bibtex Code

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CLEVRER-Humans: Describing Physical and Causal Events the Human Way
Jiayuan Mao*, Xuelin Yang*, Xikun Zhang, Noah Goodman, Jiajun Wu (*equal contribution)
NeurIPS Datasets and Benchmarks Track 2022
PDF Abstract Bibtex Code Website

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Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery
Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han
ECML-PKDD 2018
PDF Abstract Bibtex Code

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TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction
Qi Li*, Meng Jiang*, Xikun Zhang, Meng Qu, Timothy Hanratty, Jing Gao, Jiawei Han (*equal contribution)
KDD 2018 (Long Presentation, Top 11%)
PDF Abstract Bibtex Code Video

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Academic Services

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