Yichen Shen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 24

Top Topics

Atrial Fibrillation

Reactive Power Optimization

Metropolis Hastings

Top Venues

IEEE Trans. Ind. Informatics

Publications

Anirban Rahut, Vinaykumar Bhat, Abhinav Sharma, Yichen Shen, Bartlomiej Pelc, Chi Li, Ahsanul Haque, Yash Botadra, Xi Wang, Michael Percy, Ritwik Yadav, Yoshinori Matsunobu, Alan Liang, Igor Pozgaj, Tobias Asplund, Anatoly Karp, Luqun Lou, Pushap Goyal
MyRaft: High Availability in MySQL using Raft. EDBT (2024)
Yi Qin, Yujing Qin, Yichen Shen, Yonghua Li, Bo Xiang
Numerical Study on the Effects of Intraseasonal Oscillations for a Persistent Drought and Hot Event in South China Summer 2022. Remote. Sens. 15 (4) (2023)
Yichen Shen, Chenghong Gu, Zhibo Ma, Xinhe Yang, Pengfei Zhao
A Two-Stage Resilience Enhancement for Distribution Systems Under Hurricane Attacks. IEEE Syst. J. 15 (1) (2021)
Zhedong Wang, Chao Qian, Tong Cai, Longwei Tian, Zhixiang Fan, Jian Liu, Yichen Shen, Li Jing, Jianming Jin, Er-Ping Li, Bin Zheng, Hongsheng Chen
Demonstration of Spider-Eyes-Like Intelligent Antennas for Dynamically Perceiving Incoming Waves. Adv. Intell. Syst. 3 (9) (2021)
Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation. WACV (2021)
Pengfei Zhao, Chenghong Gu, Zhidong Cao, Yichen Shen, Fei Teng, Xinlei Chen, Chenye Wu, Da Huo, Xu Xu, Shuangqi Li
Data-Driven Multi-Energy Investment and Management Under Earthquakes. IEEE Trans. Ind. Informatics 17 (10) (2021)
Pengfei Zhao, Chenghong Gu, Yue Xiang, Xin Zhang, Yichen Shen, Shuangqi Li
Reactive Power Optimization in Integrated Electricity and Gas Systems. IEEE Syst. J. 15 (2) (2021)
Pengfei Zhao, Chenghong Gu, Da Huo, Yichen Shen, Ignacio Hernando-Gil
Two-Stage Distributionally Robust Optimization for Energy Hub Systems. IEEE Trans. Ind. Informatics 16 (5) (2020)
Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. EMNLP (1) (2020)
Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing
Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. CoRR (2020)
Hao Xing, Zhike Han, Yichen Shen
ClothNet: A Neural Network Based Recommender System. FSDM (2020)
Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. CoRR (2020)
Yichen Shen, Yanfei Bai
Statistical Computing with Integrated Photonics System. OECC/PSC (2019)
Yichen Shen, Maxime Voisin, Alireza Aliamiri, Anand Avati, Awni Y. Hannun, Andrew Y. Ng
Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning. KDD (2019)
Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
Gated Orthogonal Recurrent Units: On Learning to Forget. Neural Comput. 31 (4) (2019)
Yichen Shen, Huaiyu Meng, Li Jing, Bobby Lu
Statistical Computing in Photonic Integrated Circuits. PSC (2018)
Alireza Aliamiri, Yichen Shen
Deep learning based atrial fibrillation detection using wearable photoplethysmography sensor. BHI (2018)
Hengameh Bagherian, Scott A. Skirlo, Yichen Shen, Huaiyu Meng, Vladimir Ceperic, Marin Soljacic
On-Chip Optical Convolutional Neural Networks. CoRR (2018)
Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
Gated Orthogonal Recurrent Units: On Learning to Forget. AAAI Workshops (2018)
Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. CoRR (2018)
Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk Englund, Marin Soljacic
Photonic Recurrent Ising Sampler. CoRR (2018)
Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Yann LeCun, Max Tegmark, Marin Soljacic
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs. ICML (2017)
Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio
Gated Orthogonal Recurrent Units: On Learning to Forget. CoRR (2017)
Li Jing, Yichen Shen, Tena Dubcek, John Peurifoy, Scott A. Skirlo, Max Tegmark, Marin Soljacic
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNN. CoRR (2016)