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Career

· Researcher, Berkeley Artificial Intelligence Research Lab (BAIR)2024–
· Researcher, UC Berkeley, Department of Electrical Engineering and Computer Sciences2016–

Publications (17)

imMens: Real‐time Visual Querying of Big Data
Computer graphics forum (Print) · 2013
390
cited
XDL: an industrial deep learning framework for high-dimensional sparse data
Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data · 2019
75
cited
Survey on Deep Learning Based Recommender Systems
2018
70
cited
COLD: Towards the Next Generation of Pre-Ranking System
arXiv.org · 2020
64
cited
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models
International Conference on Information and Knowledge Management · 2022
51
cited
SAME but Different: Fast and High Quality Gibbs Parameter Estimation
Knowledge Discovery and Data Mining · 2014
34
cited
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
arXiv.org · 2020
16
cited
Interactive Machine Learning via a GPU-accelerated Toolkit
International Conference on Intelligent User Interfaces · 2017
16
cited
Truncation-Free Matching System for Display Advertising at Alibaba
arXiv.org · 2021
8
cited
On Ranking Consistency of Pre-ranking Stage
arXiv.org · 2022
5
cited
INQUIRE Tool: Early Insight Discovery for Qualitative Research
CSCW Companion · 2017
1
cited
Interactive Clustering with a High-Performance ML Toolkit
2015
1
cited
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021
Knowledge Discovery and Data Mining · 2021
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022
Knowledge Discovery and Data Mining · 2022
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics
arXiv.org · 2018
Exploratory model analysis for machine learning
2018
Interactive machine learning using BIDMach
2015
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Biye Jiang | Researcher Profile | Sotabase | Sotabase