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Yichen Shen
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Journal Articles
- 2023
- [j7]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): 892 (2023) - 2021
- [j6]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): 2100066 (2021) - [j5]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): 653-661 (2021) - [j4]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): 2744-2754 (2021) - [j3]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): 6939-6950 (2021) - 2020
- [j2]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): 3460-3469 (2020) - 2019
- [j1]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)
Conference and Workshop Papers
- 2024
- [c10]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: 743-752 - 2021
- [c9]Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun:
Real-Time Uncertainty Estimation in Computer Vision via Uncertainty-Aware Distribution Distillation. WACV 2021: 707-716 - 2020
- [c8]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: 7975-7984 - [c7]Hao Xing, Zhike Han, Yichen Shen:
ClothNet: A Neural Network Based Recommender System. FSDM 2020: 261-272 - 2019
- [c6]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: 1909-1916 - [c5]Yichen Shen, Yanfei Bai:
Statistical Computing with Integrated Photonics System. OECC/PSC 2019: 1 - 2018
- [c4]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: 720-726 - [c3]Alireza Aliamiri, Yichen Shen:
Deep learning based atrial fibrillation detection using wearable photoplethysmography sensor. BHI 2018: 442-445 - [c2]Yichen Shen, Huaiyu Meng, Li Jing, Bobby Lu:
Statistical Computing in Photonic Integrated Circuits. PSC 2018: 1 - 2017
- [c1]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: 1733-1741
Informal and Other Publications
- 2020
- [i7]Yichen Shen, Zhilu Zhang, Mert R. Sabuncu, Lin Sun:
Learning the Distribution: A Unified Distillation Paradigm for Fast Uncertainty Estimation in Computer Vision. CoRR abs/2007.15857 (2020) - [i6]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 abs/2010.08412 (2020) - 2018
- [i5]Hengameh Bagherian, Scott A. Skirlo, Yichen Shen, Huaiyu Meng, Vladimir Ceperic, Marin Soljacic:
On-Chip Optical Convolutional Neural Networks. CoRR abs/1808.03303 (2018) - [i4]Yurui Qu, Li Jing, Yichen Shen, Min Qiu, Marin Soljacic:
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. CoRR abs/1809.00972 (2018) - [i3]Charles Roques-Carmes, Yichen Shen, Cristian Zanoci, Mihika Prabhu, Fadi Atieh, Li Jing, Tena Dubcek, Vladimir Ceperic, John D. Joannopoulos, Dirk R. Englund, Marin Soljacic:
Photonic Recurrent Ising Sampler. CoRR abs/1811.02705 (2018) - 2017
- [i2]Li Jing, Çaglar Gülçehre, John Peurifoy, Yichen Shen, Max Tegmark, Marin Soljacic, Yoshua Bengio:
Gated Orthogonal Recurrent Units: On Learning to Forget. CoRR abs/1706.02761 (2017) - 2016
- [i1]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 abs/1612.05231 (2016)
Coauthor Index
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