Training Deep Neural Networks Using Posit Number System. - Jinming Lu; Siyuan Lu 002; Zhisheng Wang; Chao Fang 005; Jun Lin 001; Zhongfeng Wang 001; Li Du (SoCC, 2019)

A Configurable FPGA Accelerator of Bi-LSTM Inference with Structured Sparsity. - Shouliang Guo; Chao Fang 005; Jun Lin 001; Zhongfeng Wang 001 (SoCC, 2020)

Accelerating 3D Convolutional Neural Networks Using 3D Fast Fourier Transform. - Chao Fang 005; Liulu He; Haonan Wang; Jinghe Wei; Zhongfeng Wang 001 (ISCAS, 2021)

Evaluations on Deep Neural Networks Training Using Posit Number System. - Jinming Lu; Chao Fang 005; Mingyang Xu; Jun Lin 001; Zhongfeng Wang 001 (IEEE Trans. Computers, 2021)

An Efficient Hardware Accelerator for Sparse Transformer Neural Networks. - Chao Fang 005; Shouliang Guo; Wei Wu; Jun Lin 001; Zhongfeng Wang 001; Ming Kai Hsu; Lingzhi Liu (ISCAS, 2022)

An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. - Chao Fang 005; Aojun Zhou; Zhongfeng Wang 001 (IEEE Trans. Very Large Scale Integr. Syst., 2022)

CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. - Chao Fang 005; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (DATE, 2023)

Bebert: Efficient And Robust Binary Ensemble Bert. - Jiayi Tian; Chao Fang 005; Haonan Wang; Zhongfeng Wang 001 (ICASSP, 2023)

PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. - Qiong Li; Chao Fang 005; Zhongfeng Wang 001 (ISCAS, 2023)

Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. - Chao Fang 005; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (CoRR, 2023)

A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. - Longwei Huang; Chao Fang 005; Qiong Li; Jun Lin 001; Zhongfeng Wang 001 (ASPDAC, 2024)

Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. - Yuhao Ji; Chao Fang 005; Shaobo Ma; Haikuo Shao; Zhongfeng Wang 001 (ICCAD, 2024)

BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. - Yuhao Ji; Chao Fang 005; Zhongfeng Wang 001 (ISCAS, 2024)

A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. - Chuanning Wang; Chao Fang 005; Xiao Wu; Zhongfeng Wang 001; Jun Lin 001 (ISCAS, 2024)

Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators. - Robin Geens; Man Shi; Arne Symons; Chao Fang 005; Marian Verhelst (SOCC, 2024)

SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. - Chuanning Wang; Chao Fang 005; Xiao Wu; Zhongfeng Wang 001; Jun Lin 001 (CoRR, 2024)

Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. - Chao Fang 005; Wei Sun; Aojun Zhou; Zhongfeng Wang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. - Shaobo Ma; Chao Fang 005; Haikuo Shao; Zhongfeng Wang 001 (ASP-DAC, 2025)

Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. - Chao Fang 005; Man Shi; Robin Geens; Arne Symons; Zhongfeng Wang 001; Marian Verhelst (HPCA, 2025)

SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multiprecision DNN Inference. - Chuanning Wang; Chao Fang 005; Xiao Wu; Zhongfeng Wang 001; Jun Lin 001 (IEEE Trans. Very Large Scale Integr. Syst., 2025)

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. - Zhibin Wang 002; Rui Ning; Chao Fang 005; Zhonghui Zhang; Xi Lin; Shaobo Ma; Mo Zhou; Xue Li 024; Zhongfeng Wang 001; Chengying Huan; Rong Gu; Kun Yang; et al. (CoRR, 2025)

Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing. - Qiong Li; Chao Fang 005; Longwei Huang; Jun Lin 001; Zhongfeng Wang 001 (CoRR, 2025)

Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. - Stef Cuyckens; Xiaoling Yi; Nitish Satya Murthy; Chao Fang 005; Marian Verhelst (CoRR, 2025)

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration. - Shaobo Ma; Chao Fang 005; Haikuo Shao; Zhongfeng Wang 001 (CoRR, 2025)

GPU-accelerated Conflict-based Search for Multi-agent Embodied Intelligence. - Mingkai Tang 002; Ren Xin; Chao Fang 005; Yuanhang Li; Hongji Liu; Jin Wu 002 (Mach. Intell. Res., 2025)