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Biye Jiang
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Books and Theses
- 2018
- [b1]Biye Jiang:
Exploratory model analysis for machine learning. University of California, Berkeley, USA, 2018
Journal Articles
- 2013
- [j1]Zhicheng Liu, Biye Jiang, Jeffrey Heer:
imMens: Real-time Visual Querying of Big Data. Comput. Graph. Forum 32(3): 421-430 (2013)
Conference and Workshop Papers
- 2023
- [c7]Ruiming Tang
, Xiaoqiang Zhu
, Junfeng Ge
, Kuang-chih Lee
, Biye Jiang
, Xingxing Wang
, Han Zhu
, Tao Zhuang
, Weiwen Liu
, Kan Ren
, Weinan Zhang
, Xiangyu Zhao
:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - 2022
- [c6]Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models. CIKM 2022: 2671-2680 - [c5]Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz
, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - 2021
- [c4]Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang:
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD 2021: 4187-4188 - 2017
- [c3]Pablo Paredes, Vasilis Oikonomou, Rocio Francesca Guerrero, Terrie Yang, Pierre Karashchuk, Biye Jiang, James A. Landay
, Coye Cheshire
, John F. Canny:
INQUIRE Tool: Early Insight Discovery for Qualitative Research. CSCW Companion 2017: 29-32 - [c2]Biye Jiang, John F. Canny:
Interactive Machine Learning via a GPU-accelerated Toolkit. IUI 2017: 535-546 - 2015
- [c1]Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros:
SAME but Different: Fast and High Quality Gibbs Parameter Estimation. KDD 2015: 1495-1502
Informal and Other Publications
- 2022
- [i6]Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng:
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models. CoRR abs/2209.06053 (2022) - 2021
- [i5]Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu:
Truncation-Free Matching System for Display Advertising at Alibaba. CoRR abs/2102.09283 (2021) - 2020
- [i4]Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
DCAF: A Dynamic Computation Allocation Framework for Online Serving System. CoRR abs/2006.09684 (2020) - [i3]Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai:
COLD: Towards the Next Generation of Pre-Ranking System. CoRR abs/2007.16122 (2020) - 2018
- [i2]Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny:
Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics. CoRR abs/1812.04604 (2018) - 2014
- [i1]Huasha Zhao, Biye Jiang, John F. Canny:
SAME but Different: Fast and High-Quality Gibbs Parameter Estimation. CoRR abs/1409.5402 (2014)
Coauthor Index
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