Fengbin Tu

1.9k total citations
64 papers, 1.3k citations indexed

About

Fengbin Tu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Fengbin Tu has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 30 papers in Computer Vision and Pattern Recognition and 19 papers in Artificial Intelligence. Recurrent topics in Fengbin Tu's work include Advanced Memory and Neural Computing (28 papers), Advanced Neural Network Applications (25 papers) and Ferroelectric and Negative Capacitance Devices (18 papers). Fengbin Tu is often cited by papers focused on Advanced Memory and Neural Computing (28 papers), Advanced Neural Network Applications (25 papers) and Ferroelectric and Negative Capacitance Devices (18 papers). Fengbin Tu collaborates with scholars based in China, Hong Kong and United States. Fengbin Tu's co-authors include Shouyi Yin, Leibo Liu, Shaojun Wei, Peng Ouyang, Shibin Tang, Yuan Xie, Yufei Ding, Yiqi Wang, Xiudong Li and Zihan Wu and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Fengbin Tu

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fengbin Tu China 18 820 561 398 250 127 64 1.3k
Jinmook Lee South Korea 15 830 1.0× 711 1.3× 383 1.0× 146 0.6× 101 0.8× 25 1.2k
Liqiang He China 6 802 1.0× 664 1.2× 463 1.2× 246 1.0× 158 1.2× 20 1.3k
Hiroki Nakahara Japan 16 511 0.6× 485 0.9× 321 0.8× 202 0.8× 110 0.9× 98 971
Sanghoon Kang South Korea 15 667 0.8× 606 1.1× 302 0.8× 112 0.4× 81 0.6× 48 1.1k
Boxun Li China 11 689 0.8× 973 1.7× 491 1.2× 170 0.7× 66 0.5× 17 1.4k
Bert Moons Belgium 12 780 1.0× 438 0.8× 296 0.7× 152 0.6× 117 0.9× 18 1.1k
Peng Ouyang China 19 751 0.9× 625 1.1× 404 1.0× 175 0.7× 102 0.8× 77 1.4k
Yijin Guan China 6 1.1k 1.3× 1.2k 2.2× 636 1.6× 402 1.6× 165 1.3× 12 1.8k

Countries citing papers authored by Fengbin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Fengbin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengbin Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengbin Tu. A scholar is included among the top collaborators of Fengbin Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengbin Tu. Fengbin Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Yiqi, Zhen He, Zihan Wu, et al.. (2024). ETCIM: An Error-Tolerant Digital-CIM Processor with Redundancy-Free Repair and Run-Time MAC and Cell Error Correction. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–2. 2 indexed citations
2.
Tu, Fengbin, Yuxuan Li, Yubin Qin, et al.. (2024). Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 396–409. 8 indexed citations
3.
Tu, Fengbin, et al.. (2024). Rethinking Control Flow in Spatial Architectures: Insights Into Control Flow Plane Design. IEEE Transactions on Computers. 74(1). 185–199.
4.
Wang, Yiqi, Zihan Wu, Leibo Liu, et al.. (2024). TensorCIM: Digital Computing-in-Memory Tensor Processor With Multichip-Module-Based Architecture for Beyond-NN Acceleration. IEEE Journal of Solid-State Circuits. 60(2). 734–747. 2 indexed citations
5.
Tu, Fengbin, et al.. (2024). CV-CIM: A Hybrid Domain Xor-Derived Similarity-Aware Computation-in-Memory Supporting Cost-Volume Construction. IEEE Journal of Solid-State Circuits. 60(2). 719–733. 1 indexed citations
6.
Chen, Jia, et al.. (2024). Towards efficient generative AI and beyond-AI computing: New trends on ISSCC 2024 machine learning accelerators. Journal of Semiconductors. 45(4). 40204–40204. 3 indexed citations
7.
Tu, Fengbin, et al.. (2023). STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition. IEEE Transactions on Circuits and Systems I Regular Papers. 70(6). 2370–2383. 12 indexed citations
8.
Tu, Fengbin, Zihan Wu, Yiqi Wang, et al.. (2023). MulTCIM: Digital Computing-in-Memory-Based Multimodal Transformer Accelerator With Attention-Token-Bit Hybrid Sparsity. IEEE Journal of Solid-State Circuits. 59(1). 90–101. 15 indexed citations
9.
Wang, Yiqi, Fengbin Tu, Leibo Liu, et al.. (2022). SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization. IEEE Transactions on Circuits and Systems I Regular Papers. 70(1). 214–227. 8 indexed citations
10.
Tu, Fengbin, Yixuan Li, Yiqi Wang, et al.. (2022). GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating. IEEE Transactions on Circuits and Systems I Regular Papers. 69(10). 4069–4082. 13 indexed citations
11.
Tu, Fengbin, Yiqi Wang, Zihan Wu, et al.. (2022). ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE Journal of Solid-State Circuits. 58(1). 243–255. 34 indexed citations
12.
Tu, Fengbin, Yiqi Wang, Ling Liang, et al.. (2022). SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(1). 109–121. 16 indexed citations
13.
Wei, Shaojun, et al.. (2022). Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips. IEEE Transactions on Circuits and Systems I Regular Papers. 70(3). 1228–1241. 11 indexed citations
14.
Tu, Fengbin, Zihan Wu, Yiqi Wang, et al.. (2022). TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE Journal of Solid-State Circuits. 58(6). 1798–1809. 33 indexed citations
15.
Liang, Ling, Zheng Qu, Zhaodong Chen, et al.. (2021). H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4782–4796. 29 indexed citations
16.
Tu, Fengbin, Shouyi Yin, Peng Ouyang, Leibo Liu, & Shaojun Wei. (2018). Reconfigurable Architecture for Neural Approximation in Multimedia Computing. IEEE Transactions on Circuits and Systems for Video Technology. 29(3). 892–906. 13 indexed citations
17.
Yin, Shouyi, et al.. (2018). GNA: Reconfigurable and Efficient Architecture for Generative Network Acceleration. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(11). 2519–2529. 32 indexed citations
18.
Yin, Shouyi, Shibin Tang, Peng Ouyang, et al.. (2018). Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Transactions on Parallel and Distributed Systems. 30(1). 146–160. 16 indexed citations
19.
Yin, Shouyi, Shibin Tang, Peng Ouyang, et al.. (2018). A High Throughput Acceleration for Hybrid Neural Networks With Efficient Resource Management on FPGA. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(4). 678–691. 42 indexed citations
20.
Tu, Fengbin, Shouyi Yin, Peng Ouyang, Leibo Liu, & Shaojun Wei. (2015). RNA: a reconfigurable architecture for hardware neural acceleration. Design, Automation, and Test in Europe. 695–700. 2 indexed citations

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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