Jianyu Huang

1. Deep Learning Recommendation Model for Personalization and Recommendation Systems
   2019/05/31 by Maxim Naumov, Dheevatsa Mudigere, Naumov, Maxim +45 · 83 citations
   Computer Science · #Recommender Systems and Techniques #Privacy-Preserving Technologies in Data #Advanced Graph Neural Networks
2. A Study of BFLOAT16 for Deep Learning Training
   2019/05/29 by Dhiraj Kalamkar, Dheevatsa Mudigere, Kalamkar, Dhiraj +35 · 39 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications
3. Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models
   2021/04/12 by Dheevatsa Mudigere, Yuchen Hao, Mudigere, Dheevatsa +103 · 12 citations
   Computer Science · #Parallel Computing and Optimization Techniques #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques
4. FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference
   2021/01/13 by Daya Shanker Khudia, Khudia, Daya, Jianyu Huang +11 · 4 citations
   Computer Science · #Advanced Data Storage Technologies #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel Computing and Optimization Techniques #Performance (cs.PF)
5. Context Parallelism for Scalable Million-Token Inference
   2024/11/04 by Amy Yang, Yang, Amy, H. J. Yang +15 · 9 citations
   Computer Science · #Advanced Data Compression Techniques #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Parallel #and Cluster Computing (cs.DC)
6. Movable Antennas Enabled ISAC Systems: Fundamentals, Opportunities, and Future Directions
   2024/12/30 by Zhendong Li, Jianle Ba, Li, Zhendong +12 · 5 citations
   Engineering · #Antenna Design and Analysis #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering