imMens: Real-time Visual Querying of Big Data. - Zhicheng Liu 001; Biye Jiang; Jeffrey Heer (Comput. Graph. Forum, 2013)

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation. - Huasha Zhao; Biye Jiang; John F. Canny (CoRR, 2014)

SAME but Different: Fast and High Quality Gibbs Parameter Estimation. - Huasha Zhao; Biye Jiang; John F. Canny; Bobby Jaros (KDD, 2015)

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 (CSCW Companion, 2017)

Interactive Machine Learning via a GPU-accelerated Toolkit. - Biye Jiang; John F. Canny (IUI, 2017)

Diagnostic Visualization for Deep Neural Networks Using Stochastic Gradient Langevin Dynamics. - Biye Jiang; David M. Chan; Tianhao Zhang; John F. Canny (CoRR, 2018)

Exploratory model analysis for machine learning. - Biye Jiang (2018)

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)

COLD: Towards the Next Generation of Pre-Ranking System. - Zhe Wang; Liqin Zhao; Biye Jiang; Guorui Zhou; Xiaoqiang Zhu; Kun Gai (CoRR, 2020)

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 001 (KDD, 2021)

Truncation-Free Matching System for Display Advertising at Alibaba. - Jin Li 014; Jie Liu 047; Shangzhou Li; Yao Xu; Ran Cao; Qi Li; Biye Jiang; Guan Wang; Han Zhu 001; Kun Gai; Xiaoqiang Zhu (CoRR, 2021)

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 007 (CIKM, 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 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 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 007 (CoRR, 2022)

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 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)