Cong Hao

2.6k citations

79 papers · 832 indexed · h-index 16

Impact in

Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Computer Vision and Pattern Recognition top 5%
- Advanced Neural Network Applications

Papers in ⓘ

Electrical and Electronic Engineering 44
- VLSI and FPGA Design Techniques 18
- Advanced Memory and Neural Computing 13
- Ferroelectric and Negative Capacitance Devices 10
- Low-power high-performance VLSI design 8
Hardware and Architecture 27
- Parallel Computing and Optimization Techniques 19
- Embedded Systems Design Techniques 16

Co-authors: Deming Chen (16 shared papers)Xiaofan Zhang (9 shared papers)Yao Chen (9 shared papers)Nan Wu (8 shared papers)Jinjun Xiong (9 shared papers)Yuan Xie (6 shared papers)Wen‐mei Hwu (7 shared papers)Takeshi Yoshimura (17 shared papers)
Journals: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (4 papers)IEEE Transactions on Very Large Scale Integration (VLSI) Systems (2 papers)Pharmacology (1 paper)Scientific Reports (1 paper)IEEE Transactions on Cognitive and Developmental Systems (1 paper)
Partner nations: United States China Japan

In The Last Decade

Cong Hao

74 papers receiving 818 citations

Peers

Countries citing papers authored by Cong Hao

Since Specialization

Citations

This map shows the geographic impact of Cong Hao'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 Cong Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Hao more than expected).

Fields of papers citing papers by Cong Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cong Hao. 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 Cong Hao. The network helps show where Cong Hao may publish in the future.

Co-authors

The 25 scholars most cited alongside Cong Hao, 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 Cong Hao Line = papers co-authored together Cong Hao links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	FPGA/DNN Co-Design Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen‐mei Hwu, Deming Chen	2019	119
2	Cloud-DNN Yao Chen, Jiong He, Xiaofan Zhang, Cong Hao, Deming Chen	2019	80
3	EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen‐mei Hwu, Deming Chen	2020	46
4	Improving the Generalization Ability of Deep Neural Networks for Cross-Domain Visual Recognition IEEE Transactions on Cognitive and Developmental Systems ·Jianwei Zheng, Chao Lü, Cong Hao, Deming Chen, Donghui Guo	2020	44
5	Design of integrated energy market cloud service platform based on blockchain smart contract International Journal of Electrical Power & Energy Systems ·Lei Wang, Yichao Ma, Liuzhu Zhu, Xuli Wang, Cong Hao, Tiancheng Shi	2021	42
6	High-level synthesis performance prediction using GNNs Proceedings of the 59th ACM/IEEE Design Automation Conference ·Nan Wu, Hang Yang, Yuan Xie, Li Pan, Cong Hao	2022	36
7	IronMan-Pro: Multiobjective Design Space Exploration in HLS via Reinforcement Learning and Graph Neural Network-Based Modeling IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Nan Wu, Yuan Xie, Cong Hao	2022	33
8	Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign IEEE Design and Test ·Cong Hao, Jordan Dotzel, Jinjun Xiong, Luca Benini, Zhiru Zhang, Deming Chen	2021	27
9	T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA Yao Chen, Kai Zhang, Cheng Gong, Cong Hao, Xiaofan Zhang, Tao Li, Deming Chen	2019	21
10	A Hybrid GPU + FPGA System Design for Autonomous Driving Cars Cong Hao, Atif Sarwari, Zhijie Jin, Husam Abu-Haimed, Daryl Sew, Yuhong Li, Xinheng Liu, Bryan Wu, Dongdong Fu, Junli Gu, Deming Chen	2019	19
11	I RON M AN arXiv (Cornell University) ·Nan Wu, Yuan Xie, Cong Hao	2021	18
12	Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous Systems Cong Hao, Deming Chen	2021	17
13	Triangle Counting and Truss Decomposition using FPGA Sitao Huang, Mohamed El-Hadedy, Cong Hao, Qin Li, Vikram Sharma Mailthody, Ketan Date, Jinjun Xiong, Deming Chen, Rakesh Nagi, Wen‐mei Hwu	2018	16
14	H2H Proceedings of the 59th ACM/IEEE Design Automation Conference ·Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu	2022	16
15	WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs Xinheng Liu, Yao Chen, Cong Hao, Ashutosh Dhar, Deming Chen	2021	15
16	NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving Cong Hao, Yao Chen, Xinheng Liu, Atif Sarwari, Daryl Sew, Ashutosh Dhar, Bryan Wu, Dongdong Fu, Jinjun Xiong, Wen‐mei Hwu, Junli Gu, Deming Chen	2019	15
17	Effect of Evodiamine on CYP Enzymes in Rats by a Cocktail Method Pharmacology ·Youting Zhang, Dafeng Zhang, Ni-yun Ge, Guanghui Zhu, Cong Hao, Yin Zhang, Ruijie Chen	2016	14
18	Edge-MoE: Memory-Efficient Multi-Task Vision Transformer Architecture with Task-Level Sparsity via Mixture-of-Experts Rishov Sarkar, Hanxue Liang, Zhiwen Fan, Zhangyang Wang, Cong Hao	2023	14
19	Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie	2023	14
20	Thermal and Wirelength Optimization With TSV Assignment for 3-D-IC IEEE Transactions on Electron Devices ·Zhao Yi, Cong Hao, Takeshi Yoshimura	2018	13

About Cong Hao

Cong Hao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 79 papers that have together received 832 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (21 papers), Parallel Computing and Optimization Techniques (19 papers), VLSI and FPGA Design Techniques (18 papers), Embedded Systems Design Techniques (16 papers), Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Interconnection Networks and Systems (9 papers) and Low-power high-performance VLSI design (8 papers). The work is most often cited by research in Hardware and Architecture (219 citations), Computer Vision and Pattern Recognition (297 citations), Computational Mathematics (8 citations), Artificial Intelligence (220 citations) and Electrical and Electronic Engineering (392 citations). Cong Hao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Deming Chen, Xiaofan Zhang, Yao Chen, Nan Wu, Jinjun Xiong, Yuan Xie, Wen‐mei Hwu, Takeshi Yoshimura, Jiong He and Sitao Huang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Pharmacology, Scientific Reports and IEEE Transactions on Cognitive and Developmental Systems.

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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