1k citations · 2.3k across the 48 of their papers we have counts for
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Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
Vijay Babu Pamshetti, Wei Zhang, Sumei Sun +3
Battery health prognostics are critical for ensuring safety, efficiency, and sustainability in modern energy systems. However, it has been challenging to achieve accurate and robus…
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System
Huaizheng Zhang, Yizheng Huang, Yonggang Wen +2
Deep learning (DL) models have become core modules for many applications. However, deploying these models without careful performance benchmarking that considers both hardware and…
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui, Zhenan Sun, Yonggang Wen +2
Generative adversarial networks (GANs) are a hot research topic recently. GANs have been widely studied since 2014, and a large number of algorithms have been proposed. However, th…
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong, Guanyu Gao, Xinyi Zhang +2
Model-Based Reinforcement Learning (MBRL) is one category of Reinforcement Learning (RL) algorithms which can improve sampling efficiency by modeling and approximating system dynam…
Intelligent Trainer for Model-Based Reinforcement Learning
Yuanlong Li, Linsen Dong, Xin Zhou +2
Model-based reinforcement learning (MBRL) has been proposed as a promising alternative solution to tackle the high sampling cost challenge in the canonical reinforcement learning (…