Sotabase

Career

· PhD Student, Stanford University2018–
· Bachelor's degree, Tsinghua University2014–2018
· Quant Research, JQinvestments, China

Publications (65)

Conditional Adversarial Domain Adaptation
Neural Information Processing Systems · 2017
2,658
cited
Multi-Adversarial Domain Adaptation
AAAI Conference on Artificial Intelligence · 2018
928
cited
HashNet: Deep Learning to Hash by Continuation
IEEE International Conference on Computer Vision · 2017
690
cited
Transferable Representation Learning with Deep Adaptation Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2019
598
cited
Universal Domain Adaptation
Computer Vision and Pattern Recognition · 2019
539
cited
Partial Adversarial Domain Adaptation
European Conference on Computer Vision · 2018
482
cited
Partial Transfer Learning with Selective Adversarial Networks
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2017
469
cited
Learning Multiple Tasks with Multilinear Relationship Networks
Neural Information Processing Systems · 2015
341
cited
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Computer Vision and Pattern Recognition · 2019
313
cited
Learning to Transfer Examples for Partial Domain Adaptation
Computer Vision and Pattern Recognition · 2019
297
cited
Few-Shot Video Classification via Temporal Alignment
Computer Vision and Pattern Recognition · 2019
271
cited
Open Domain Generalization with Domain-Augmented Meta-Learning
Computer Vision and Pattern Recognition · 2021
207
cited
Supplementary : Learning to Detect Open Classes for Universal Domain Adaptation
2020
191
cited
Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction
IEEE Robotics and Automation Letters · 2020
181
cited
Robust Learning Through Cross-Task Consistency
Computer Vision and Pattern Recognition · 2020
169
cited
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition · 2020
152
cited
Adversarial Cross-Domain Action Recognition with Co-Attention
AAAI Conference on Artificial Intelligence · 2019
111
cited
Transferable Curriculum for Weakly-Supervised Domain Adaptation
AAAI Conference on Artificial Intelligence · 2019
111
cited
Transferable Query Selection for Active Domain Adaptation
Computer Vision and Pattern Recognition · 2021
83
cited
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI Conference on Artificial Intelligence · 2019
71
cited
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