About
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I am a 4th-year Ph.D. student in Computer Science at Stanford University working at the intersection of biomedicine and AI. I am very fortunate to be advised by Aaron Newman and Emma Lundberg. My current research focuses on 1) tissue cellular composition and 2) subcellular protein localization, where I develop machine learning models for multi-omics data, with the goal of improving our understanding of the mechanism of diseases, like cancer, and enabling personalized treatment. 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.
Selected Publications
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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%)
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On the opportunities and risks of foundation models
Rishi Bommasani, …, Xikun Zhang, …, Percy Liang (116 authors)
arXiv 2021
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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
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Blog
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Predicting Embedding Trajectories for Temporal Interaction Networks
Srijan Kumar, Xikun Zhang, Jure Leskovec
KDD 2019 (Oral, Top 9%)
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Other Publications
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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)
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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
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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
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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%)
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Academic Services
- Top 5% teaching assistant across the Stanford computer science department during fall 2023 (Head TA in CS224W)
- Organizing a workshop "Tools for assembling the cell: Towards the era of cell structural bioinformatics" at the Pacific Symposium on Biocomputing (PSB) 2024
- Invited talk at AWS AI Lab in April 2022 on the GreaseLM paper
- Conference reviewer for NeurIPS, AAAI, AACL-IJCNLP
- Journal reviewer for BMC Bioinformatics, IEEE Transactions on Computational Social Systems
- Workshop reviewer for ACL CSRR workshop, CIKM FedGraph workshop, AAAI-GCLR workshop, AAAI-UDM workshop
Awards
- Bronze Tablet (2019): highest undergraduate honor at UIUC, top 3% of graduates