Xiyuan Zhang
Ph.D. Student @ Dept of Computer Science and Engineering
University of California, San Diego
xiyuanzh [AT] ucsd.edu
Bio
I am a PhD candidate at CSE, UC San Diego, where I am fortunate to be advised by Professor Rajesh Gupta and Professor Jingbo Shang. I also spent some wonderful summers in MIT, UC Davis, and AWS AI Labs. I received my B.S. degree in CS with honors from Chu Kochen Honors College, Zhejiang University.
My research interests lie in machine learning for sequential data (NLP, time series, spatiotemporal), with practical impact including healthcare, IoT, climate science, smart city and e-commerce.
Publications
Chronos: Learning the Language of Time Series
Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang
Preprint
Large Language Models for Time Series: A Survey
Xiyuan Zhang, Ranak Roy Chowdhury, Rajesh Gupta, Jingbo Shang
Preprint
Unleashing the Power of Shared Label Structures for Human Activity Recognition
Xiyuan Zhang, Ranak Roy Chowdhury, Jiayun Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang
CIKM 2023
Physics-Informed Data Denoising for Real-Life Sensing Systems
Xiyuan Zhang, Xiaohan Fu, Diyan Teng, Chengyu Dong, Keerthivasan Vijayakumar, Jiayun Zhang, Ranak Roy Chowdhury, Junsheng Han, Dezhi Hong, Rashmi Kulkarni, Jingbo Shang, Rajesh Gupta
SenSys 2023
Navigating Alignment for Non-Identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang
KDD 2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong
ICASSP 2023
Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Xiaofan Yu, Ludmila Cherkasova, Harsh Vardhan, Quanling Zhao, Emily Ekaireb, Xiyuan Zhang, Arya Mazumdar, Tajana Šimunić Rosing
IoTDI 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang
AAAI 2023
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting
Xiyuan Zhang, Xiaoyong Jin, Karthick Gopalswamy, Gaurav Gupta, Youngsuk Park, Xingjian Shi, Hao Wang, Danielle C. Maddix, Yuyang Wang
NeurIPS 2022 All Things Attention Woskshop
Task-Aware Reconstruction for Time-Series Transformer
Ranak Roy Chowdhury, Xiyuan Zhang, Dezhi Hong, Rajesh Gupta, Jingbo Shang
KDD 2022
ESC-GAN: Extending Spatial Coverage of Physical Sensors
Xiyuan Zhang, Ranak Roy Chowdhury, Jingbo Shang, Rajesh Gupta, Dezhi Hong
WSDM 2022, oral
Filling Conversation Ellipsis for Better Social Dialog Understanding
Xiyuan Zhang, Chengxi Li, Dian Yu, Samuel Davidson, Zhou Yu
AAAI 2020
Neural Embeddings for Nearest Neighbor Search Under Edit Distance
Xiyuan Zhang, Yang Yuan, Piotr Indyk
Awards
CPS Rising Stars, 2023
Qualcomm Innovation Fellowship, 2022
Outstanding Graduate of Zhejiang University & Zhejiang Province
Distinguished Undergraduate Dissertation Award, Zhejiang University
Services
Program Committee Member: ICML'23'24, NeurIPS'23, ICLR'24, AAAI'23'24, WWW'24, ICASSP'24
Journal Reviewer: International Journal of Forecasting (IJF)
Teaching: TA for CSE 151A: Introduction to Machine Learning, volunteer teacher for middle school students
Mentoring: KDD Undergraduate Consortium mentor
Acknowledgement
This website design is based on the template from Martin Saveski.