
About Me
I'm a Ph.D. candidate at Computer Science Department, University of California, Los Angeles (UCLA). My advisor is Prof. Yizhou Sun. Prior to UCLA, I got my Master of Engineering degree from Tsinghua University, and Bachelor of Engineering degree from Shandong University.
I have broad interests in machine learning, graphs, and causality.
Publication
Conferences
A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings
Estimating Causal Effects on Networked Observational Data via Representation Learning
Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting
HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Difan Zou, Ziniu Hu, Yewen Wang, Song Jiang, Yizhou Sun and Quanquan Gu
NeurIPS'19, Vancouver, Canada
Workshops and Preprints
Unit Selection: Learning Benefit Function from Finite Population Data
Ang Li, Song Jiang, Yizhou Sun and Judea Pearl
NeurIPS 2022 Workshop on Causality for Real-world Impact
Learning probabilities of causation from finite population data
Ang Li, Song Jiang, Yizhou Sun and Judea Pearl
Preprint 2022
Deep Learning of Potential Outcomes
Bernard Koch, Tim Sainburg, Pablo Geraldo, Song Jiang, Yizhou Sun, and Jacob Gates Foster
Preprint 2021
Industry Experience
Meta AI, Research intern
- Menlo Park, CA, Jun 2022 - Sept 2022
Amazon Web Services (AWS), Applied scientist intern
- Boston, MA (Remote), Jun 2021 - Sept 2021
Snap Inc., Research intern
- Santa Monica, CA (Remote), Jun 2020 - Aug 2020
Education
Ph.D. University of California, Los Angeles (UCLA), Sept 2018 - now
M.E. Tsinghua University, Aug 2015 - Jul 2018
B.E. Shandong University, Sept 2011 - Jun 2015
Services
PC member / reviewer:
Conference: ICML 2023, KDD 2023 2020, WWW2023, AAAI 2023, ICWSM 2023, ICASSP 2023, CIKM 2022, LoG 2022, IJCAI 2021-2022, ECML-PKDD 2020-2022
Journal: TPAMI, TNNLS, TKDE, Neurocomputing, TBD.
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