Fengbin Tu

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 55

Top Topics

Diffusion Models

Top Venues

IEEE J. Solid State Circuits

Publications

Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43 (5) (2024)
Fengbin Tu, Zihan Wu, Yiqi Wang, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin
MulTCIM: Digital Computing-in-Memory-Based Multimodal Transformer Accelerator With Attention-Token-Bit Hybrid Sparsity. IEEE J. Solid State Circuits 59 (1) (2024)
Ruiqi Guo, Lei Wang, Xiaofeng Chen, Hao Sun, Zhiheng Yue, Yubin Qin, Huiming Han, Yang Wang, Fengbin Tu, Shaojun Wei, Yang Hu, Shouyi Yin
20.2 A 28nm 74.34TFLOPS/W BF16 Heterogenous CIM-Based Accelerator Exploiting Denoising-Similarity for Diffusion Models. ISSCC (2024)
Xin Zhao, Liang Chang, Dongqi Fan, Zhicheng Hu, Ting Yue, Fengbin Tu, Jun Zhou
HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques. IEEE Trans. Circuits Syst. I Regul. Pap. 71 (4) (2024)
Zhiheng Yue, Huizheng Wang, Jiahao Fang, Jinyi Deng, Guangyang Lu, Fengbin Tu, Ruiqi Guo, Yuxuan Li, Yubin Qin, Yang Wang, Chao Li, Huiming Han, Shaojun Wei, Yang Hu, Shouyi Yin
Exploiting Similarity Opportunities of Emerging Vision AI Models on Hybrid Bonding Architecture. ISCA (2024)
Jingyu He, Fengbin Tu, Kwang-Ting Cheng, Chi-Ying Tsui
AdaP-CIM: Compute-in-Memory Based Neural Network Accelerator Using Adaptive Posit. DATE (2024)
Weiwei Wu, Fengbin Tu, Xiangyu Li, Shaojun Wei, Shouyi Yin
SWG: an architecture for sparse weight gradient computation. Sci. China Inf. Sci. 67 (2) (2024)
Zhiheng Yue, Xujiang Xiang, Fengbin Tu, Yang Wang, Yiming Wang, Shaojun Wei, Yang Hu, Shouyi Yin
15.1 A 0.795fJ/bit Physically-Unclonable Function-Protected TCAM for a Software-Defined Networking Switch. ISSCC (2024)
Yiqi Wang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
SPCIM: Sparsity-Balanced Practical CIM Accelerator With Optimized Spatial-Temporal Multi-Macro Utilization. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (1) (2023)
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16 (7) (2023)
Weiwei Wu, Fengbin Tu, Mengqi Niu, Zhiheng Yue, Leibo Liu, Shaojun Wei, Xiangyu Li, Yang Hu, Shouyi Yin
STAR: An STGCN ARchitecture for Skeleton-Based Human Action Recognition. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Boxiao Han, Hongjun He, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. MICRO (2023)
Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong
DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference. CoRR (2023)
Jinyi Deng, Xinru Tang, Jiahao Zhang, Yuxuan Li, Linyun Zhang, Fengbin Tu, Leibo Liu, Shaojun Wei, Yang Hu, Shouyi Yin
Towards Efficient Control Flow Handling in Spatial Architecture via Architecting the Control Flow Plane. CoRR (2023)
Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Fengshi Tian, Xiaomeng Wang, Jinbo Chen, Jiakun Zheng, Hui Wu, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Chi-Ying Tsui, Kwang-Ting (Tim) Cheng
BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare. ESSCIRC (2023)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58 (1) (2023)
Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui
A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications. CoRR (2023)
Jia Chen, Fengbin Tu, Kunming Shao, Fengshi Tian, Xiao Huo, Chi-Ying Tsui, Kwang-Ting Cheng
AutoDCIM: An Automated Digital CIM Compiler. DAC (2023)
Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA (2023)
Yu Zhu, Zhenhua Zhu, Guohao Dai, Fengbin Tu, Hanbo Sun, Kwang-Ting Cheng, Huazhong Yang, Yu Wang
PIM-HLS: An Automatic Hardware Generation Tool for Heterogeneous Processing-In-Memory-based Neural Network Accelerators. DAC (2023)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58 (6) (2023)
Fengbin Tu, Zihan Wu, Yiqi Wang, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin
MuITCIM: A 28nm $2.24 \mu\mathrm{J}$/Token Attention-Token-Bit Hybrid Sparse Digital CIM-Based Accelerator for Multimodal Transformers. ISSCC (2023)
Shaojun Wei, Xinhan Lin, Fengbin Tu, Yang Wang, Leibo Liu, Shouyi Yin
Reconfigurability, Why It Matters in AI Tasks Processing: A Survey of Reconfigurable AI Chips. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (3) (2023)
Fengbin Tu, Yiqi Wang, Zihan Wu, Weiwei Wu, Leibo Liu, Yang Hu, Shaojun Wei, Shouyi Yin
TensorCIM: A 28nm 3.7nJ/Gather and 8.3TFLOPS/W FP32 Digital-CIM Tensor Processor for MCM-CIM-Based Beyond-NN Acceleration. ISSCC (2023)
Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie
Alleviating datapath conflicts and design centralization in graph analytics acceleration. DAC (2022)
Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS (2022)
Jianxun Yang, Fengbin Tu, Yixuan Li, Yiqi Wang, Leibo Liu, Shaojun Wei, Shouyi Yin
GQNA: Generic Quantized DNN Accelerator With Weight-Repetition-Aware Activation Aggregating. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (10) (2022)
Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers 71 (12) (2022)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration. ISSCC (2022)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA (2022)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC (2022)
Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE (2022)
Haiyang Lin, Mingyu Yan, Duo Wang, Mo Zou, Fengbin Tu, Xiaochun Ye, Dongrui Fan, Yuan Xie
Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration. CoRR (2022)
Xinhan Lin, Liang Sun, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei, Shouyi Yin
ADROIT: An Adaptive Dynamic Refresh Optimization Framework for DRAM Energy Saving In DNN Training. DAC (2021)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR (2021)
Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
Erratum to "Evolver: a Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning". IEEE J. Solid State Circuits 56 (9) (2021)
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD (2021)
Fengbin Tu, Weiwei Wu, Yang Wang, Hongjiang Chen, Feng Xiong, Man Shi, Ning Li, Jinyi Deng, Tianbao Chen, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
Evolver: A Deep Learning Processor With On-Device Quantization-Voltage-Frequency Tuning. IEEE J. Solid State Circuits 56 (2) (2021)
Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO (2020)
Feng Xiong, Fengbin Tu, Man Shi, Yang Wang, Leibo Liu, Shaojun Wei, Shouyi Yin
STC: Significance-aware Transform-based Codec Framework for External Memory Access Reduction. DAC (2020)
Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Shaojun Wei
A High Throughput Acceleration for Hybrid Neural Networks With Efficient Resource Management on FPGA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (4) (2019)
Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei
Reconfigurable Architecture for Neural Approximation in Multimedia Computing. IEEE Trans. Circuits Syst. Video Technol. 29 (3) (2019)
Shouyi Yin, Shibin Tang, Xinhan Lin, Peng Ouyang, Fengbin Tu, Leibo Liu, Jishen Zhao, Cong Xu, Shuangchen Li, Yuan Xie, Shaojun Wei
Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. IEEE Trans. Parallel Distributed Syst. 30 (1) (2019)
Weiwei Wu, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei
MoNA: Mobile Neural Architecture with Reconfigurable Parallel Dimensions. NEWCAS (2019)
Feng Xiong, Fengbin Tu, Shouyi Yin, Shaojun Wei
Towards Efficient Compact Network Training on Edge-Devices. ISVLSI (2019)
Jianxin Guo, Shouyi Yin, Peng Ouyang, Fengbin Tu, Shibin Tang, Leibo Liu, Shaojun Wei
Bit-width Adaptive Accelerator Design for Convolution Neural Network. ISCAS (2018)
Shouyi Yin, Peng Ouyang, Shibin Tang, Fengbin Tu, Xiudong Li, Shixuan Zheng, Tianyi Lu, Jiangyuan Gu, Leibo Liu, Shaojun Wei
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications. IEEE J. Solid State Circuits 53 (4) (2018)
Zhihui Wang, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei
An Energy Efficient JPEG Encoder with Neural Network Based Approximation and Near-Threshold Computing. ISCAS (2018)
Xinhan Lin, Shouyi Yin, Fengbin Tu, Leibo Liu, Xiangyu Li, Shaojun Wei
LCP: a layer clusters paralleling mapping method for accelerating inception and residual networks on FPGA. DAC (2018)
Fengbin Tu, Weiwei Wu, Shouyi Yin, Leibo Liu, Shaojun Wei
RANA: Towards Efficient Neural Acceleration with Refresh-Optimized Embedded DRAM. ISCA (2018)
Jiale Yan, Shouyi Yin, Fengbin Tu, Leibo Liu, Shaojun Wei
GNA: Reconfigurable and Efficient Architecture for Generative Network Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (11) (2018)
Shibin Tang, Shouyi Yin, Shixuan Zheng, Peng Ouyang, Fengbin Tu, Leiyue Yao, JinZhou Wu, Wenming Cheng, Leibo Liu, Shaojun Wei
AEPE: An area and power efficient RRAM crossbar-based accelerator for deep CNNs. NVMSA (2017)
Fengbin Tu, Shouyi Yin, Peng Ouyang, Shibin Tang, Leibo Liu, Shaojun Wei
Deep Convolutional Neural Network Architecture With Reconfigurable Computation Patterns. IEEE Trans. Very Large Scale Integr. Syst. 25 (8) (2017)
Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei
Neural approximating architecture targeting multiple application domains. ISCAS (2015)
Fengbin Tu, Shouyi Yin, Peng Ouyang, Leibo Liu, Shaojun Wei
RNA: a reconfigurable architecture for hardware neural acceleration. DATE (2015)