World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
4856
World Ranking
11345
National Ranking
1391

Best Publications

  • PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning

    Linghao Song;Xuehai Qian;Hai Li;Yiran Chen

  • GraphR: Accelerating Graph Processing Using ReRAM

    Linghao Song;Youwei Zhuo;Xuehai Qian;Hai Li

  • GraphP: Reducing Communication for PIM-Based Graph Processing with Efficient Data Partition

    Mingxing Zhang;Youwei Zhuo;Chao Wang;Mingyu Gao

  • DudeTM: Building Durable Transactions with Decoupling for Persistent Memory

    Mengxing Liu;Mingxing Zhang;Kang Chen;Xuehai Qian

  • SC-DCNN: Highly-Scalable Deep Convolutional Neural Network using Stochastic Computing

    Ao Ren;Zhe Li;Caiwen Ding;Qinru Qiu

  • ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Methods of Multipliers

    Ao Ren;Tianyun Zhang;Shaokai Ye;Jiayu Li

  • GraphQ: Scalable PIM-Based Graph Processing

    Youwei Zhuo;Chao Wang;Mingxing Zhang;Rui Wang

  • Capuchin: Tensor-based GPU Memory Management for Deep Learning

    Xuan Peng;Xuanhua Shi;Hulin Dai;Hai Jin

  • Non-Structured DNN Weight Pruning--Is It Beneficial in Any Platform?

    Xiaolong Ma;Sheng Lin;Shaokai Ye;Zhezhi He

  • Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

    Sung-En Chang;Yanyu Li;Mengshu Sun;Runbin Shi

  • HyPar: Towards Hybrid Parallelism for Deep Learning Accelerator Array

    Linghao Song;Jiachen Mao;Youwei Zhuo;Xuehai Qian

  • PermDNN: efficient compressed DNN architecture with permuted diagonal matrices

    Chunhua Deng;Siyu Liao;Yi Xie;Keshab K. Parhi

  • FORMS: fine-grained polarized ReRAM-based in-situ computation for mixed-signal DNN accelerator

    Geng Yuan;Payman Behnam;Zhengang Li;Ali Shafiee

  • Exploring the hidden dimension in graph processing

    Mingxing Zhang;Yongwei Wu;Kang Chen;Xuehai Qian

  • Neu-NoC: A high-efficient interconnection network for accelerated neuromorphic systems

    Unknown

  • Prague: High-Performance Heterogeneity-Aware Asynchronous Decentralized Training

    Qinyi Luo;Jiaao He;Youwei Zhuo;Xuehai Qian

  • HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

    Zhe Li;Ji Li;Ao Ren;Ruizhe Cai

  • E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs

    Zhe Li;Caiwen Ding;Siyue Wang;Wujie Wen

  • Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing

    Zhibin Yu;Zhendong Bei;Xuehai Qian

  • VIBNN: Hardware Acceleration of Bayesian Neural Networks

    Ruizhe Cai;Ao Ren;Ning Liu;Caiwen Ding

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