Zhenhao He

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All published works

Action	Title	Year	Authors
+ PDF Chat	Co-design Hardware and Algorithm for Vector Search	2023	Wenqi Jiang Shigang Li Yu Zhu Johannes de Fine Licht Zhenhao He Runbin Shi Cédric Renggli Shuai Zhang Theodoros Rekatsinas Torsten Hoefler
+	Co-design Hardware and Algorithm for Vector Search	2023	Wenqi Jiang Shigang Li Yu Zhu Johannes de Fine Licht Zhenhao He Runbin Shi Cédric Renggli Shuai Zhang Theodoros Rekatsinas Torsten Hoefler
+	ACCL+: an FPGA-Based Collective Engine for Distributed Applications	2023	Zhenhao He Dario Korolija Yu Zhu Benjamin Ramhorst Tristan Laan Lucian Petrică Michaela Blott Gustavo Alonso
+	MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions.	2020	Wenqi Jiang Zhenhao He Shuai Zhang Thomas B. Preußer Kai Zeng Feng Liang Jiansong Zhang Tongxuan Liu Yong Li Jingren Zhou
+ PDF Chat	Hierarchical Neural Architecture Search for Single Image Super-Resolution	2020	Yong Guo Yongsheng Luo Zhenhao He Jin Huang Jian Chen
+	MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions	2020	Wenqi Jiang Zhenhao He Shuai Zhang Thomas B. Preußer Kai Zeng Feng Liang Jiansong Zhang Tongxuan Liu Yong Li Jingren Zhou

Common Coauthors

Coauthor	Papers Together
Gustavo Alonso	4
Shuai Zhang	3
Feng Liang	2
Kai Zeng	2
Shigang Li	2
Thomas B. Preußer	2
Jingren Zhou	2
Runbin Shi	2
Yong Li	2
Wenqi Jiang	2
Jiansong Zhang	2
Cédric Renggli	2
Tongxuan Liu	2
Theodoros Rekatsinas	2
Wenqi Jiang	2
Torsten Hoefler	2
Johannes de Fine Licht	2
Yongsheng Luo	1
Yu Zhu	1
Ce Zhang	1
Yu Zhu	1
Michaela Blott	1
Yong Guo	1
Lucian Petrică	1
Dario Korolija	1
Gustavo Alonso	1
Jin Huang	1
Tristan Laan	1
Benjamin Ramhorst	1
Jian Chen	1
Shuai Zhang	1
Yu Zhu	1
Ce Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Flexible Communication Avoiding Matrix Multiplication on FPGA with High-Level Synthesis	2020	Johannes de Fine Licht Grzegorz Kwaśniewski Torsten Hoefler	3
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	2
+	Beyond Data and Model Parallelism for Deep Neural Networks	2018	Zhihao Jia Matei Zaharia Alex Aiken	2
+ PDF Chat	Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations	2020	Ranggi Hwang Taehun Kim Youngeun Kwon Minsoo Rhu	2
+ PDF Chat	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing	2020	Liu Ke Udit Gupta Benjamin Youngjae Cho David Brooks Vikas Chandra Utku Diril Amin Firoozshahian Kim Hazelwood Bill Jia Hsien-Hsin S. Lee	2
+	Priority-based Parameter Propagation for Distributed DNN Training	2019	Anand Jayarajan Jinliang Wei Garth A. Gibson Alexandra Fedorova Gennady Pekhimenko	2
+ PDF Chat	Compressive Sensing Using Iterative Hard Thresholding With Low Precision Data Representation: Theory and Applications	2020	Nezihe Merve Gürel Kaan Kara Alen Stojanov Tyler Smith Thomas Lemmin Dan Alistarh Markus Püschel Ce Zhang	2
+	Deep Learning Recommendation Model for Personalization and Recommendation Systems	2019	Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman Jongsoo Park Xiaodong Wang Udit Gupta Carole-Jean Wu Alisson G. Azzolini	2
+ PDF Chat	Deep Interest Evolution Network for Click-Through Rate Prediction	2019	Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai	2
+	Mixed Precision Training of Convolutional Neural Networks using Integer Operations	2018	Dipankar Das Naveen Mellempudi Dheevatsa Mudigere Dhiraj D. Kalamkar Sasikanth Avancha Kunal Banerjee Srinivas Sridharan K. Vaidyanathan Bharat Kaul Evangelos Georganas	2
+ PDF Chat	ASV	2019	Yu Feng Paul N. Whatmough Yuhao Zhu	2
+ PDF Chat	ReBNet: Residual Binarized Neural Network	2018	Mohammad Ghasemzadeh Mohammad Samragh Farinaz Koushanfar	2
+	DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference	2020	Udit Gupta Samuel Hsia Vikram Saraph Xiaodong Wang Brandon Reagen Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks Carole-Jean Wu	2
+ PDF Chat	The Architectural Implications of Facebook's DNN-Based Personalized Recommendation	2020	Udit Gupta Carole-Jean Wu Xiaodong Wang Maxim Naumov Brandon Reagen David Brooks Bradford Cottel Kim Hazelwood Mark Hempstead Bill Jia	2
+ PDF Chat	PREMA: A Predictive Multi-Task Scheduling Algorithm For Preemptible Neural Processing Units	2020	Yujeong Choi Minsoo Rhu	2
+	Benchmarking High Bandwidth Memory on FPGAs	2020	Zeke Wang Hongjing Huang Jie Zhang Gustavo Alonso	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2
+	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism	2019	Mohammad Shoeybi Mostofa Patwary Raul Puri Patrick LeGresley Jared Casper Bryan Catanzaro	2
+	The Effect of Network Width on the Performance of Large-batch Training	2018	Lingjiao Chen Hongyi Wang Jinman Zhao Dimitris Papailiopoulos Paraschos Koutris	1
+ PDF Chat	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	2018	Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Yun Fu	1
+	Dual Reconstruction Nets for Image Super-Resolution with Gradient Sensitive Loss	2018	Yong Guo Qi Chen Jian Chen Junzhou Huang Yanwu Xu Jiezhang Cao Peilin Zhao Mingkui Tan	1
+	ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks	2018	Amir Yazdanbakhsh Ahmed T. Elthakeb Prannoy Pilligundla Fatemehsadat Mireshghallah Hadi Esmaeilzadeh	1
+	Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications	2018	Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah Daya Shanker Khudia James Law Parth Malani Andrey Malevich Satish Nadathur	1
+	InferLine: ML Inference Pipeline Composition Framework.	2018	Daniel Crankshaw Gur-Eyal Sela Corey Zumar Xiangxi Mo Joseph E. Gonzalez Ion Stoica Alexey Tumanov	1
+ PDF Chat	Vector and line quantization for billion-scale similarity search on GPUs	2019	Wei Chen Jincai Chen Fuhao Zou Yuan-Fang Li Ping Lü Qiang Wang Wei Zhao	1
+	Multi-Objective Reinforced Evolution in Mobile Neural Architecture Search	2019	Xiangxiang Chu Bo Zhang Ruijun Xu Hailong Ma	1
+	Fast, Accurate and Lightweight Super-Resolution with Neural Architecture Search	2019	Xiangxiang Chu Bo Zhang Hailong Ma Ruijun Xu Qingyuan Li	1
+ PDF Chat	Auto-Embedding Generative Adversarial Networks For High Resolution Image Synthesis	2019	Yong Guo Qi Chen Jian Chen Qingyao Wu Qinfeng Shi Mingkui Tan	1
+	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Meghan Cowan Haichen Shen Leyuan Wang Yuwei Hu Luís Ceze	1
+	DARTS: Differentiable Architecture Search	2018	Hanxiao Liu Karen Simonyan Yiming Yang	1
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+	A Learned Representation For Artistic Style	2016	Vincent Dumoulin Jonathon Shlens Manjunath Kudlur	1
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+ PDF Chat	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search	2021	Xiangxiang Chu Bo Zhang Ruijun Xu	1
+	Neural Architecture Search with Reinforcement Learning	2016	Barret Zoph Quoc V. Le	1
+ PDF Chat	Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs	2018	Yu. A. Malkov D. A. Yashunin	1
+ PDF Chat	Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network	2018	Namhyuk Ahn Byungkon Kang Kyung-Ah Sohn	1
+ PDF Chat	Deep Back-Projection Networks for Super-Resolution	2018	Muhammad Haris Greg Shakhnarovich Norimichi Ukita	1
+ PDF Chat	MnasNet: Platform-Aware Neural Architecture Search for Mobile	2019	Mingxing Tan Bo Chen Ruoming Pang Vijay Vasudevan Mark Sandler Andrew Howard Quoc V. Le	1
+ PDF Chat	Learning Transferable Architectures for Scalable Image Recognition	2018	Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le	1
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	1
+	TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning	2019	Youngeun Kwon Y. Lee Minsoo Rhu	1
+	NAT: Neural Architecture Transformer for Accurate and Compact Architectures	2019	Yong Guo Yin Zheng Mingkui Tan Qi Chen Jian Chen Peilin Zhao Junzhou Huang	1
+	SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems	2019	Xiaofan Zhang Haoming Lu Cong Hao Jiachen Li Bowen Cheng Yuhong Li Kyle Rupnow Jinjun Xiong Thomas S. Huang Humphrey Shi	1
+	MLPerf Training Benchmark	2019	Peter Mattson Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius David E. Patterson Hanlin Tang Gu-Yeon Wei Peter Bailis Victor Bittorf	1
+	TensorDIMM	2019	Youngeun Kwon Y. Lee Minsoo Rhu	1
+ PDF Chat	Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and Evaluation	2019	Xin Chen Lingxi Xie Jun Wu Qi Tian	1
+	Once-for-All: Train One Network and Specialize it for Efficient Deployment	2019	Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han	1
+	PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search	2019	Yuhui Xu Lingxi Xie Xiaopeng Zhang Xin Chen Guo-Jun Qi Qi Tian Hongkai Xiong	1
+	RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing	2019	Liu Ke Udit Gupta Carole-Jean Wu Benjamin Youngjae Cho Mark Hempstead Brandon Reagen Xuan Zhang David Brooks Vikas Chandra Utku Diril	1