Sotabase

Career

· Postdoctoral Researcher, University of California, Berkeley (Current)2015–
· Postdoctoral Researcher, UC Davis2014–2015
· Graduate Research Assistant, UC Davis2010–2014
· Doctor of Philosophy (Ph.D.), Physics, University of California, Davis2009–2014
· Graduate Research Assistant, Tsinghua University2007–2009
· Master’s Degree, Physics, Tsinghua University2007–2009
· Bachelor’s Degree, Physics, Tsinghua University2003–2007

Publications (62)

XLNet: Generalized Autoregressive Pretraining for Language Understanding
Neural Information Processing Systems · 2019
9,140
cited
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
Annual Meeting of the Association for Computational Linguistics · 2019
4,166
cited
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Neural Information Processing Systems · 2017
764
cited
COVID-19 tissue atlases reveal SARS-CoV-2 pathology and cellular targets
Nature · 2021
665
cited
Aligning Large Multimodal Models with Factually Augmented RLHF
Annual Meeting of the Association for Computational Linguistics · 2023
609
cited
Pre-training Tasks for Embedding-based Large-scale Retrieval
International Conference on Learning Representations · 2020
322
cited
Cumulus provides cloud-based data analysis for large-scale single-cell and single-nucleus RNA-seq
Nature Methods · 2020
187
cited
Politeness Transfer: A Tag and Generate Approach
Annual Meeting of the Association for Computational Linguistics · 2020
169
cited
JAKET: Joint Pre-training of Knowledge Graph and Language Understanding
AAAI Conference on Artificial Intelligence · 2020
167
cited
A Probabilistic Model for Online Document Clustering with Application to Novelty Detection
Neural Information Processing Systems · 2004
160
cited
Learning Multiple Related Tasks using Latent Independent Component Analysis
Neural Information Processing Systems · 2005
130
cited
Flexible latent variable models for multi-task learning
Machine-mediated learning · 2008
113
cited
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Annual Meeting of the Association for Computational Linguistics · 2021
104
cited
Stochastic link and group detection
AAAI/IAAI · 2002
92
cited
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
Conference on Empirical Methods in Natural Language Processing · 2023
89
cited
Kernel Change-point Detection with Auxiliary Deep Generative Models
International Conference on Learning Representations · 2018
77
cited
Transformer-XL: Language Modeling with Longer-Term Dependency
2018
70
cited
Implicit Kernel Learning
International Conference on Artificial Intelligence and Statistics · 2019
44
cited
Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions
Conference on Empirical Methods in Natural Language Processing · 2024
43
cited
In-Context Principle Learning from Mistakes
International Conference on Machine Learning · 2024
40
cited
Sotabase