Automatic Mining of Multi-granularity Temporal Regularity from Trajectory Data. - Siyuan Huang 002; Rui Zhang 066; Nuofei Li; Jiming Guo; Hongbo Jiang 001 (BDCAT, 2017)

Automatic Prediction of Traffic Flow Based on Deep Residual Networks. - Rui Zhang 066; Nuofei Li; Siyuan Huang 002; Peng Xie; Hongbo Jiang 001 (MSN, 2017)

Streaming Batch Eigenupdates for Hardware Neuromorphic Networks. - Brian D. Hoskins; Matthew W. Daniels; Siyuan Huang 002; Advait Madhavan; Gina C. Adam; Nikolai Zhitenev; Jabez J. McClelland; Mark D. Stiles (CoRR, 2019)

Streaming Batch Gradient Tracking for Neural Network Training (Student Abstract). - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (AAAI, 2020)

A Deep Learning Model for Early Detection of Fake News on Social Media*. - Pakindessama M. Konkobo; Rui Zhang 066; Siyuan Huang 002; Toussida T. Minoungou; Jose A. Ouedraogo; Lin Li 001 (BESC, 2020)

Video Review Analysis via Transformer-Based Sentiment Change Detection. - Zilong Wu; Siyuan Huang 002; Rui Zhang 066; Lin Li 001 (MIPR, 2020)

Memory-efficient training with streaming dimensionality reduction. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (CoRR, 2020)

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. - Siyuan Huang 002; Brian D. Hoskins; Matthew W. Daniels; Mark D. Stiles; Gina C. Adam (ACM J. Emerg. Technol. Comput. Syst., 2023)