Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe. - Jiong Gong; Haihao Shen; Guoming Zhang; Xiaoli Liu; Shane Li; Ge Jin; Niharika Maheshwari; Evarist Fomenko; Eden Segal (ReQuEST@ASPLOS, 2018)

Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. - Yueqi Wang; Yoni Halpern; Shuo Chang; Jingchen Feng; Elaine Ya Le; Longfei Li; Xujian Liang; Min-Cheng Huang; Shane Li; Alex Beutel; Yaping Zhang; Shuchao Bi (RecSys, 2023)

Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies. - Chih-Wei Hsu; Martin Mladenov; Ofer Meshi; James Pine; Hubert Pham; Shane Li; Xujian Liang; Anton Polishko; Li Yang; Ben Scheetz; Craig Boutilier (SIGIR, 2024)