Biye Jiang

According to our database, Biye Jiang authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models.

Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng

CoRR, 2022

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models.

Zhao-Yu Zhang, Xiang-Rong Sheng, Yujing Zhang, Biye Jiang, Shuguang Han, Hongbo Deng, Bo Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Truncation-Free Matching System for Display Advertising at Alibaba.

Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

CoRR, 2021

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.

Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

COLD: Towards the Next Generation of Pre-Ranking System.

Zhe Wang, Liqin Zhao, Biye Jiang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

CoRR, 2020

DCAF: A Dynamic Computation Allocation Framework for Online Serving System.

Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

CoRR, 2020

2018

Exploratory model analysis for machine learning.

Biye Jiang

PhD thesis, 2018

Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics.

Biye Jiang, David M. Chan, Tianhao Zhang, John F. Canny

CoRR, 2018

2017

Interactive Machine Learning via a GPU-accelerated Toolkit.

Biye Jiang, John F. Canny

Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

INQUIRE Tool: Early Insight Discovery for Qualitative Research.

Pablo Paredes, Vasilis Oikonomou, Rocio Francesca Guerrero, Terrie Yang, Pierre Karashchuk, Biye Jiang, James A. Landay, Coye Cheshire, John F. Canny

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2017

2015

SAME but Different: Fast and High Quality Gibbs Parameter Estimation.

Huasha Zhao, Biye Jiang, John F. Canny, Bobby Jaros

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation.

Huasha Zhao, Biye Jiang, John F. Canny

CoRR, 2014

2013

<i>imMens</i>: Real-time Visual Querying of Big Data.

Zhicheng Liu, Biye Jiang, Jeffrey Heer

Comput. Graph. Forum, 2013