Lixia Han

Biomimetic ferroelectric-semiconductor transistor enables neuronal multisensory integration

Liu S, Li Zhang, Ruiqing Xie, Zhiyuan Wu et autres

Human brain seamlessly integrates multisensory stimuli to synthesize complementary information for enhanced perceptions, depending on neural principles of superadditivity, inverse effectiveness, and temporal congruency. Replicating multisensory integration in artificial intelligences has remained challenging due to the inefficiency of algorithmic fusions and the …

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An 8T-SRAM Near-Memory Architecture for Multiplierless Approximate DCT

X Y Wang, Ke Chen, Bi Wu, Chenggang Yan et autres

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PIM-NoC: A NoC Architecture with In-Router Processing-in-Memory for DNN Acceleration

Ying Liu, Haixiang Ren, Lixia Han, Cuiyu Qi et autres

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C 2 NoC: A Communication–Computation Coupled NoC-based Neural Network Accelerator

Cuiyu Qi, Ying Liu, H H. Chen, Lixia Han et autres

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DRR-NTT: Efficient NTT Accelerator in Lattice-Based Cryptography By Dimensionality Reduction in RRAM

Yijun Cui, Yuehua Chen, Bei Wang, Ziying Ni et autres

Lattice-based cryptographic (LBC) algorithms, including Post-Quantum Cryptography (PQC) schemes and Fully Homomorphic Encryption (FHE), represent one of the most important families of quantum-resistant cryptosystems. A key computational primitive shared across these lattice-based algorithms is the Number Theoretic Transform (NTT), which often constitutes …

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Re-RIS: A Reconfigurable 3D RRAM In-Sensor Architecture for Low-Latency Machine Vision

Shiyang Li, Lixia Han, Siyuan Chen, Lifeng Liu et autres

Cutting-edge machine vision applications impose stringent latency and energy efficiency demands on edge devices. To address these demands, In-Sensor Computing (ISC) architectures aim to eliminate data movement overhead, while 3D RRAM technology provides the hardware foundation of high memory density and massive …

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High-Precision Low-Latency Method and Architecture for Softmax Acceleration in Training-Level AI Applications

Hui Chen, Lianghua Quan, Lixia Han, Ke Chen et autres

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BitSplat: An Efficient 3D Gaussian Splatting Architecture via Bit-Level Hardware-Algorithm Co-Optimization

Lixia Han, Xueming Fu, Xinjie Duan, Hui Chen et autres

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DAGS: A High-Performance Accelerator with Dynamic Task Dispatching for XR-oriented 3D Gaussian Splatting

Da Xie, Yifei Chen, Jicong Fan, Jiaying Cai et autres

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Instant-CIM: An Instant Neural Radiance Field Computing-In-Memory Architecture for Low-Power and Real-Time AR/VR Rendering

Lixia Han, Hui Chen, Xueming Fu, Ke Chen et autres

Novel View Synthesis is a foundational technique for creating immersive Augmented and Virtual Reality (AR/VR) experiences, aiming to generate photorealistic images of a scene from arbitrary camera viewpoints using only a limited set of source images, with Neural Radiance Fields (NeRF) emerging …

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Physically unclonable memristor-based compute-in-memory chip for secure AI

Peng Cheng Huang, Yiyang Chen, Lixia Han, Ao Shi et autres

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CIMUS: 3D-Stacked Computing-in-Memory Under Image Sensor Architecture for Efficient Machine Vision

Lixia Han, Haozhang Yang, Ao Shi, Guihai Yu et autres

Computational image sensors with CNN processing capabilities are emerging to alleviate the energy-intensive and time-consuming data movement between sensors and external processors. However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image …

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