Tong‐Yi Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	SimXRD-4M: Big Simulated X-ray Diffraction Data Accelerate the Crystalline Symmetry Classification	2024	Bin Cao Yang Liu Zinan Zheng Ruifeng Tan Jia Li Tong‐Yi Zhang
+ PDF Chat	Intelligent Computing: The Latest Advances, Challenges, and Future	2023	Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar Sylvain Gigan Deniz Gündüz Ekram Hossain Yaochu Jin Feng‐Huei Lin
+	Unraveling the Complexity of Metal Ion Dissolution: Insights from Hybrid First-Principles/Continuum Calculations	2023	Mingqing Liu Tong‐Yi Zhang Sheng Sun
+	Intelligent Computing: The Latest Advances, Challenges and Future	2022	Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar Sylvain Gigan Deniz Gündüz Ekram Hossain Yaochu Jin Feng‐Huei Lin
+	Linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase field simulation and design	2021	Yuquan Zhu Tao Xu Tong‐Yi Zhang
+	Phase field simulation of grain size effects in nanograined Ti-Nb shape memory alloys	2021	Jiawei Mai Yuquan Zhu Tao Xu Tong‐Yi Zhang
+	Accelerated design of linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field simulations and machine learning	2021	Yuquan Zhu Tao Xu Qinghua Wei Hongxin Yang Takahiro Shimada Takayuki Kitamura Tong‐Yi Zhang
+ PDF Chat	Machine learning of mechanical properties of steels	2020	Jie Xiong Tong‐Yi Zhang San‐Qiang Shi
+	Two-dimensional metallic ferroelectricity in PbTe monolayer by electrostatic doping	2020	Tao Xu Jingtong Zhang Yuquan Zhu Jie Wang Takahiro Shimada Takayuki Kitamura Tong‐Yi Zhang

Common Coauthors

Coauthor	Papers Together
Yuquan Zhu	4
Schahram Dustdar	2
Hongyang Chen	2
T.S. Durrani	2
Yunhe Pan	2
Deniz Gündüz	2
Wentao Zhu	2
Takayuki Kitamura	2
Jiangxing Wu	2
Yaochu Jin	2
Zhifeng Zhao	2
Shiqiang Zhu	2
Sylvain Gigan	2
Zhiguo Wan	2
Zuoning Chen	2
Ji Zhang	2
Feng‐Huei Lin	2
Ting Yu	2
Ekram Hossain	2
Takahiro Shimada	2
Tao Xu	2
Huaimin Wang	2
Tao Xu	2
Mingqing Liu	1
Qinghua Wei	1
Sheng Sun	1
San‐Qiang Shi	1
Jiawei Mai	1
Tao Xu	1
Bin Cao	1
Jingtong Zhang	1
Jie Wang	1
Hongxin Yang	1
Zinan Zheng	1
Bo Liu	1
Бо Лю	1
Jia Li	1
Tao Xu	1
Yang Liu	1
Ruifeng Tan	1
Jie Xiong	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Analog computing by Brewster effect	2016	Amir Youssefi Farzad Zangeneh‐Nejad Sajjad Abdollahramezani Amin Khavasi	2
+ PDF Chat	Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications	2021	Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang	2
+ PDF Chat	FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare	2020	Yiqiang Chen Xin Qin Jindong Wang Chaohui Yu Wen Gao	2
+ PDF Chat	Molecular docking with Gaussian Boson Sampling	2020	Leonardo Banchi Mark Fingerhuth Tomáš Babej Christopher Ing Juan Miguel Arrazola	2
+ PDF Chat	Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial	2021	Amal Feriani Ekram Hossain	2
+ PDF Chat	Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing	2021	Shailesh Tripathi David Muhr Brunner Manuel Herbert Jodlbauer Matthias Dehmer Frank Emmert‐Streib	2
+ PDF Chat	Analog computing using graphene-based metalines	2015	Sajjad Abdollahramezani Kamalodin Arik Amin Khavasi Zahra Kavehvash	2
+ PDF Chat	DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models	2020	Yuzhi Zhang Haidi Wang Weijie Chen Jinzhe Zeng Linfeng Zhang Han Wang E Weinan	2
+ PDF Chat	Deep learning assisted data inspection for radio astronomy	2020	Michael Mesarcik Albert‐Jan Boonstra Christiaan Meijer Walter Jansen Elena Ranguelova Rob V. van Nieuwpoort	2
+ PDF Chat	Raman spectrum and polarizability of liquid water from deep neural networks	2020	Grace M. Sommers Marcos F. Calegari Andrade Linfeng Zhang Han Wang Roberto Car	2
+ PDF Chat	Parallel convolutional processing using an integrated photonic tensor core	2021	Johannes Feldmann Nathan Youngblood Maxim Karpov Helge Gehring X. Li Maik Stappers Manuel Le Gallo Xin Fu Anton Lukashchuk Arslan S. Raja	2
+ PDF Chat	Power of data in quantum machine learning	2021	Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean	2
+ PDF Chat	Photonic quantum technologies	2009	Jeremy L. O’Brien Akira Furusawa Jelena Vučković	2
+ PDF Chat	An optical neural network using less than 1 photon per multiplication	2022	Tianyu Wang Shi-Yuan Ma Logan G. Wright Tatsuhiro Onodera Brian C. Richard Peter L. McMahon	2
+ PDF Chat	Redesigning commercial floating-gate memory for analog computing applications	2015	F. Merrikh Bayat Xin Guo H.A. Om'mani Tri Nhu K. K. Likharev Dmitri B. Strukov	2
+ PDF Chat	Radio frequency interference mitigation using deep convolutional neural networks	2017	Joël Akeret C. Chang Aurélien Lucchi Alexandre Réfrégier	2
+	How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings	2019	Kawin Ethayarajh	2
+ PDF Chat	Deep neural network for the dielectric response of insulators	2020	Linfeng Zhang Mohan Chen Xifan Wu Han Wang E Weinan Roberto Car	2
+ PDF Chat	CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop	2020	P. Tallada-Crespí J. Carretero Jordi Casals Carles Acosta‐Silva S. Serrano Marc Caubet F. J. Castander Eduardo César M. Crocce M. Delfino	2
+ PDF Chat	Thermodynamics-based Artificial Neural Networks for constitutive modeling	2020	Filippo Masi Ioannis Stefanou Paolo Vannucci Victor Maffi-Berthier	2
+	On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning	2020	I.B.C.M. Rocha Pierre Kerfriden F.P. van der Meer	2
+ PDF Chat	The MLIP package: moment tensor potentials with MPI and active learning	2020	Ivan S. Novikov Konstantin Gubaev Evgeny V. Podryabinkin Alexander V. Shapeev	2
+ PDF Chat	Galaxy clusters and groups in the ALHAMBRA survey	2015	B. Ascaso N. Benı́tez A. Fernández-Soto P. Arnalte-Mur C. López-Sanjuán A. Molino W. Schoenell Y. Jiménez-Teja A. Merson Marc Huertas-Company	2
+ PDF Chat	11 TOPS photonic convolutional accelerator for optical neural networks	2021	Xingyuan Xu Mengxi Tan Bill Corcoran Jiayang Wu Andreas Boes Thach G. Nguyen Sai T. Chu Brent E. Little D. G. Hicks Roberto Morandotti	2
+ PDF Chat	Mixed-state entanglement and quantum error correction	1996	Charles H. Bennett David P. DiVincenzo John A. Smolin William K. Wootters	2
+ PDF Chat	Photonics for artificial intelligence and neuromorphic computing	2021	Bhavin J. Shastri Alexander N. Tait Thomas Ferreira de Lima Wolfram H. P. Pernice Harish Bhaskaran C. David Wright Paul R. Prucnal	2
+ PDF Chat	Deep learning in neural networks: An overview	2014	Jürgen Schmidhuber	2
+ PDF Chat	Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates	2017	Shixiang Gu Ethan Holly Timothy Lillicrap Sergey Levine	2
+ PDF Chat	Universal Intelligence: A Definition of Machine Intelligence	2007	Shane Legg Marcus Hütter	2
+ PDF Chat	Quantum circuits with many photons on a programmable nanophotonic chip	2021	Juan Miguel Arrazola Ville Bergholm Kamil Brádler Thomas R. Bromley Matthew J. Collins Ish Dhand Andrea Fumagalli Thomas Gerrits Arseni Goussev L. G. Helt	2
+ PDF Chat	Big Universe, Big Data: Machine Learning and Image Analysis for Astronomy	2017	Jan Kremer Kristoffer Stensbo-Smidt Fabian Gieseke Kim Steenstrup Pedersen Christian Igel	2
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	2
+ PDF Chat	Optimizing sparse RFI prediction using deep learning	2019	Joshua Kerrigan Paul La Plante Saul A. Kohn Jonathan Pober James E. Aguirre Zara Abdurashidova Paul Alexander Zaki S. Ali Yanga Balfour Adam P. Beardsley	2
+ PDF Chat	DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning	2017	Wenhan Xiong Thien Hoang William Yang Wang	2
+ PDF Chat	META-DES: A dynamic ensemble selection framework using meta-learning	2014	Rafael M. O. Cruz Robert Sabourin George D. C. Cavalcanti Tsang Ing Ren	2
+ PDF Chat	Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution	2018	Judea Pearl	2
+ PDF Chat	DeepGCNs: Can GCNs Go As Deep As CNNs?	2019	Guohao Li Matthias Müller Ali Thabet Bernard Ghanem	2
+ PDF Chat	Improving galaxy morphologies for SDSS with Deep Learning	2018	H. Domínguez Sánchez Marc Huertas-Company Mariangela Bernardi D. Tuccillo J. L. Fischer	2
+ PDF Chat	Rotation-invariant convolutional neural networks for galaxy morphology prediction	2015	Sander Dieleman Kyle Willett Joni Dambre	2
+ PDF Chat	Learning constitutive relations from indirect observations using deep neural networks	2020	Daniel Zhengyu Huang Kailai Xu Charbel Farhat Eric Darve	2
+ PDF Chat	Using Gaussian Boson Sampling to Find Dense Subgraphs	2018	Juan Miguel Arrazola Thomas R. Bromley	2
+ PDF Chat	All-optical machine learning using diffractive deep neural networks	2018	Xing Lin Yair Rivenson Nezih Tolga Yardimci Muhammed Veli Yi Luo Mona Jarrahi Aydogan Özcan	2
+ PDF Chat	Boson sampling for molecular vibronic spectra	2015	Joonsuk Huh Gian Giacomo Guerreschi Borja Peropadre Jarrod R. McClean Alán Aspuru‐Guzik	2
+ PDF Chat	Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network	2020	A. Sherstinsky	2
+ PDF Chat	Deep learning improves identification of Radio Frequency Interference	2020	Alireza Vafaei Sadr Bruce A. Bassett Nadeem Oozeer Y. Fantaye Chris Finlay	2
+	p-bits for probabilistic spin logic	2019	Kerem Y. Çamsarı Brian Sutton Supriyo Datta	2
+ PDF Chat	An integrated system at the Bleien Observatory for mapping the Galaxy	2016	C. Chang C. Monstein Joël Akeret Sebastian Seehars Alexandre Réfrégier A. Amara Adrian M. Glauser Bruno Stuber	2
+ PDF Chat	An event-based architecture for solving constraint satisfaction problems	2015	Hesham Mostafa Lorenz K. Müller Giacomo Indiveri	2
+	Modeling and forecasting financial time series with ordered fuzzy candlesticks	2014	A. Marszałek Tadeusz Burczyński	2
+ PDF Chat	Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges	2021	Latif U. Khan Walid Saad Zhu Han Ekram Hossain Choong Seon Hong	2