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    • Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization
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    • Enabling efficient sparse multiplications on GPUs with heuristic adaptability
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    • Ecssd: Hardware/data layout co-designed in-storage-computing architecture for extreme classification
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    • Gamora: Graph learning based symbolic reasoning for large-scale boolean networks
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    • OpSparse: a highly optimized framework for sparse general matrix multiplication on GPUs
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    • ReDCIM: Reconfigurable digital computing-in-memory processor with unified FP/INT pipeline for cloud AI acceleration
    • Saarsp: An architecture for systolic-array acceleration of recurrent spiking neural networks
    • SPCIM: Sparsity-balanced practical CIM accelerator with optimized spatial-temporal multi-macro utilization
    • The spike gating flow: A hierarchical structure-based spiking neural network for online gesture recognition
    • Toward robust spiking neural network against adversarial perturbation
    • TranCIM: Full-digital bitline-transpose CIM-based sparse transformer accelerator with pipeline/parallel reconfigurable modes
    • Underwater-art: Expanding information perspectives with text templates for underwater acoustic target recognition
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    • Prof. Yuan Xie Secures Major RGC Strategic Topics Grant, Contributing to HKUST’s Record-Breaking Funding Success
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Dr. Bangyan Wang

Dr. Bangyan Wang
Dr. Bangyan Wang
· 0 min read
Dr. Bangyan Wang
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Dr. Bangyan Wang
Postdoc Researcher

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