Haibin Shen
教授
Designs secure high-performance computing chips, deep learning processors and accelerators for visual understanding.
Haibin Shen's lab at Zhejiang works on accelerators, chips & architecture, distributed, cloud & edge systems and recognition, detection & segmentation. 27 papers since 2023, 5 at top venues, mostly ICCV and ASPLOS. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 19%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 4 papers2026 · T1 1 · collecting
- 6 papers2025 · T1 2
- 7 papers2024 · T1 0
- 10 papers2023 · T1 2
T1 venuesOtherVenues: ICCV, ASPLOS, ICASSP, ICLR
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture3 papers
- Recognition, detection & segmentation2 papers
- Distributed, cloud & edge systems1 paper
- visual understanding0 papers
- high-performance computing0 papers
Paper list
From DBLP.
20264 papers
- IEEE Trans. Very Large Scale Integr. Syst.A Bit-Level Loosely Coupled Spiking Neural Network Accelerator With Fast Inference and Hybrid Early Termination (opens in a new tab)
- Microelectron. J.CNM-MNPO: A Compute-Near-Memory FPGA architecture with a mesh NoC placement optimization (opens in a new tab)
- IEEE Trans. Circuits Syst. Artif. Intell.RARPIM: A Robust and Adaptive 1FeFET-1T-1C Based Compute-in-Memory Macro With Capacitor Reused Pipeline SAR ADC (opens in a new tab)
- ICLR (T1)Rethinking Residual Errors in Compensation-based LLM Quantization (opens in a new tab)
20256 papers
- ISCASA 1FeFET-1T-1C based Compute-in-Memory Macro with Capacitor Reused Pipeline SAR ADC (opens in a new tab)
- Microelectron. J.A bit-level loosely coupled computing-in-memory macro with early termination (opens in a new tab)
- FCCMA FeFET-Based Compute-in-Memory Architecture on FPGA for Neural Network Inference (opens in a new tab)
- IEEE Trans. Very Large Scale Integr. Syst.A Robust Computing-in-Memory Macro With 2T1R1C Cells and Reused Capacitors for Successive-Approximation ADC (opens in a new tab)
- ASPLOS (T1)MVQ: Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization (opens in a new tab)
- ICCV (T1)SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting (opens in a new tab)
20247 papers
- Euro-ParA Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE (opens in a new tab)
- ACM Trans. Reconfigurable Technol. Syst.An All-digital Compute-in-memory FPGA Architecture for Deep Learning Acceleration (opens in a new tab)
- ICCBR WorkshopsAutomated Detection of Type II Focal Cortical Dysplasia Guided by Low-Density Electroencephalogram (opens in a new tab)
- Multim. Tools Appl.Bridging partial-gated convolution with transformer for smooth-variation image inpainting (opens in a new tab)
- IEEE Trans. Circuits Syst. II Express BriefsEWS: An Energy-Efficient CNN Accelerator With Enhanced Weight Stationary Dataflow (opens in a new tab)
- IEEE Trans. Consumer Electron.Human Body Parsing in Thermal InfraRed Domain (opens in a new tab)
- CAAI Trans. Intell. Technol.Multi-scale cross-domain alignment for person image generation (opens in a new tab)
202310 papers
- IEEE Trans. Very Large Scale Integr. Syst.A Low-Power In-Memory Multiplication and Accumulation Array With Modified Radix-4 Input and Canonical Signed Digit Weights (opens in a new tab)
- IEEE Trans. Consumer Electron.Continuous Volumetric Convolution Network With Self-Learning Kernels for Point Clouds (opens in a new tab)
- IEEE Trans. Multim.FDA-GAN: Flow-Based Dual Attention GAN for Human Pose Transfer (opens in a new tab)
- CVPR WorkshopFreqHPT: Frequency-aware attention and flow fusion for Human Pose Transfer (opens in a new tab)
- SensorsIEF-CSNET: Information Enhancement and Fusion Network for Compressed Sensing Reconstruction (opens in a new tab)
- IEEE Trans. Medical ImagingMsVRL: Self-Supervised Multiscale Visual Representation Learning via Cross-Level Consistency for Medical Image Segmentation (opens in a new tab)
- Appl. Intell.OAW-GAN: occlusion-aware warping GAN for unified human video synthesis (opens in a new tab)
- MCGE@MMTaming Vector-Wise Quantization for Wide-Range Image Blending with Smooth Transition (opens in a new tab)
- ICASSP (T1)Thermal Infrared Image Inpainting Via Edge-Aware Guidance (opens in a new tab)
- ICCV (T1)WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
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