Haichen Shen

2.3k citations
20 papers · 1.3k · 2 hit papers · h-index 13

Impact in

Papers in

Haichen Shen

20 papers receiving 1.3k citations

Haichen Shen's Hit Papers

TVM: an automated end-to-end optimizing compiler for deep learning 2018 · 564 citations
5640+3+6Years since publication100200300400500

Peers

Haichen Shen
Comparison fields: 5 of 77
  • Computational Mathematics 34
  • Hardware and Architecture 280
  • Computer Vision and Pattern Recognition 738
  • Computer Networks and Communications 541
  • Artificial Intelligence 407
Replace Cody Hao Yu with:
Cody Hao Yu United States
Jeff Rasley United States
Ziheng Jiang China
Brandon Reagen United States
Bradley McDanel United States
Ganesh Dasika United States
Paul N. Whatmough United States
Shaohuai Shi Hong Kong
Depei Qian China
Cong Hao United States
Haichen Shen relative to Cody Hao Yu United States Cody Hao Yu's profile →
Citations per field
00.5×5.5×
Cody Hao Yu · 1×
Citations per year

Countries citing papers authored by Haichen Shen

Since Specialization
Citations

This map shows the geographic impact of Haichen Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haichen Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haichen Shen more than expected).

Fields of papers citing papers by Haichen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haichen Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haichen Shen. The network helps show where Haichen Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Haichen Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haichen Shen Line = papers co-authored together Haichen Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
TVM: an automated end-to-end optimizing compiler for deep learning
Hit paper breakdown →
2018564
2
MCDNN
Hit paper breakdown →
2016286
3 2019153
4 202074
5 201736
6 201235
7 201232
8 201026
9
MetaSync: file synchronization across multiple untrusted storage services
201523
10 201922
11 202322
12 201522
13 201314
14
MCDNN: An Execution Framework for Deep Neural Networks on Resource-Constrained Devices
20159
15 20108
16 20216
17 20115
18 20165
19
Spectrum Virtualization Layer
20113
20
Demo: MPAP: virtualization architecture for heterogenous wireless APs (Best Demo Award)
20101

About Haichen Shen

Haichen Shen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wireless Networks and Protocols (7 papers), Advanced Neural Network Applications (6 papers), IoT and Edge/Fog Computing (3 papers), Software-Defined Networks and 5G (3 papers), Caching and Content Delivery (3 papers), Green IT and Sustainability (2 papers), Advanced MIMO Systems Optimization (2 papers) and Cooperative Communication and Network Coding (2 papers). The work is most often cited by research in Computational Mathematics (34 citations), Hardware and Architecture (280 citations), Computer Vision and Pattern Recognition (738 citations), Computer Networks and Communications (541 citations) and Artificial Intelligence (407 citations). Haichen Shen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Arvind Krishnamurthy, Matthai Philipose, Seungyeop Han, Alec Wolman, Sharad Agarwal, Ziheng Jiang, Carlos Guestrin, Meghan Cowan, Tianqi Chen and Eddie Yan. Their work appears in journals such as ACM SIGCOMM Computer Communication Review, Materials, IEEE Internet Computing, USENIX Annual Technical Conference and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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