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ORCIDYichen Shen 0001
Person information
- affiliation: Lightelligence Inc., Boston, MA, USA
- affiliation (PhD): Massachusetts Institute of Technology (MIT), Department of Physics, Cambridge, MA, USA
Other persons with the same name
- Yichen Shen (aka: Yi-Chen Shen) — disambiguation page
- Yichen Shen 0002
![[0000-0002-0934-0242]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0934-0242")
— Shanghai Jiaotong University, Shanghai, China - Yichen Shen 0003 — Samsung, Strategy and Innovation Center, San Jose, CA, USA
- Yichen Shen 0004 — Zhejiang University, Key Lab of CAD&CG, Hangzhou, China
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2020 – today
- 2025
[i7]Chenchen Shou, Guyue Liu, Hao Nie, Huaiyu Meng, Yu Zhou, Yimin Jiang, Wenqing Lv, Yelong Xu, Yuanwei Lu, Zhang Chen, Yanbo Yu, Yichen Shen, Yibo Zhu, Daxin Jiang:
InfinitePOD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. CoRR abs/2502.03885 (2025)- 2021
- [j2]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) - 2020
- [c5]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 - [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)
2010 – 2019
- 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) - [c4]Yichen Shen, Yanfei Bai:
Statistical Computing with Integrated Photonics System. OECC/PSC 2019: 1 - 2018
- [c3]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 - [c2]Yichen Shen, Huaiyu Meng, Li Jing, Bobby Lu:
Statistical Computing in Photonic Integrated Circuits. PSC 2018: 1 - [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
- [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 - [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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