Chao Fang - RankMe

42 papers A* 1A 3B 1C 5Misc 1Journal 25Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2026	—	`conf`	Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration. ASP-DAC Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst
2025	J	`jnl`	APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration. CoRR Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2025	A*	`conf`	Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. HPCA Chao Fang, Man Shi, Robin Geens, Arne Symons, Zhongfeng Wang, Marian Verhelst
2025	—	`conf`	Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. ASP-DAC Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2025	A	`conf`	Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. ISLPED Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst
2025	J	`jnl`	Efficient Precision-Scalable Hardware for Microscaling (MX) Processing in Robotics Learning. CoRR Stef Cuyckens, Xiaoling Yi, Nitish Satya Murthy, Chao Fang, Marian Verhelst
2025	J	`jnl`	Enable Lightweight and Precision-Scalable Posit/IEEE-754 Arithmetic in RISC-V Cores for Transprecision Computing. CoRR Qiong Li, Chao Fang, Longwei Huang, Jun Lin, Zhongfeng Wang
2025	J	`jnl`	FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding. CoRR Zhibin Wang, Rui Ning, Chao Fang, Zhonghui Zhang, Xi Lin, Shaobo Ma, Mo Zhou, Xue Li, Zhongfeng Wang, Chengying Huan, Rong Gu, Kun Yang, Guihai Chen, Sheng Zhong, Chen Tian
2025	J	`jnl`	GPU-accelerated Conflict-based Search for Multi-agent Embodied Intelligence. Mach. Intell. Res. Mingkai Tang, Ren Xin, Chao Fang, Yuanhang Li, Hongji Liu, Jin Wu
2025	J	`jnl`	P3-LLM: An Integrated NPU-PIM Accelerator for LLM Inference Using Hybrid Numerical Formats. CoRR Yuzong Chen, Chao Fang, Xilai Dai, Yuheng Wu, Thierry Tambe, Marian Verhelst, Mohamed S. Abdelfattah
2025	J	`jnl`	Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration. CoRR Stef Cuyckens, Xiaoling Yi, Robin Geens, Joren Dumoulin, Martin Wiesner, Chao Fang, Marian Verhelst
2025	J	`jnl`	SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multiprecision DNN Inference. IEEE Trans. Very Large Scale Integr. Syst. Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin
2025	—	`conf`	iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator. PRIME Stef Cuyckens, Ryan Antonio, Chao Fang, Marian Verhelst
2025	J	`jnl`	iEEG Seizure Detection with a Sparse Hyperdimensional Computing Accelerator. CoRR Stef Cuyckens, Ryan Antonio, Chao Fang, Marian Verhelst
2024	B	`conf`	A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. ASPDAC Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang
2024	C	`conf`	A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. ISCAS Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin
2024	J	`jnl`	A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. CoRR Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin
2024	J	`jnl`	Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format. CoRR Chao Fang, Man Shi, Robin Geens, Arne Symons, Zhongfeng Wang, Marian Verhelst
2024	C	`conf`	BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. ISCAS Yuhao Ji, Chao Fang, Zhongfeng Wang
2024	J	`jnl`	BETA: Binarized Energy-Efficient Transformer Accelerator at the Edge. CoRR Yuhao Ji, Chao Fang, Zhongfeng Wang
2024	A	`conf`	Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. ICCAD Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Co-Designing Binarized Transformer and Hardware Accelerator for Efficient End-to-End Edge Deployment. CoRR Yuhao Ji, Chao Fang, Shaobo Ma, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Efficient Arbitrary Precision Acceleration for Large Language Models on GPU Tensor Cores. CoRR Shaobo Ma, Chao Fang, Haikuo Shao, Zhongfeng Wang
2024	J	`jnl`	Efficient N:M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2024	—	`conf`	Energy Cost Modelling for Optimizing Large Language Model Inference on Hardware Accelerators. SOCC Robin Geens, Man Shi, Arne Symons, Chao Fang, Marian Verhelst
2024	J	`jnl`	SPEED: A Scalable RISC-V Vector Processor Enabling Efficient Multi-Precision DNN Inference. CoRR Chuanning Wang, Chao Fang, Xiao Wu, Zhongfeng Wang, Jun Lin
2023	J	`jnl`	A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge. CoRR Longwei Huang, Chao Fang, Qiong Li, Jun Lin, Zhongfeng Wang
2023	Misc	`conf`	Bebert: Efficient And Robust Binary Ensemble Bert. ICASSP Jiayi Tian, Chao Fang, Haonan Wang, Zhongfeng Wang
2023	A	`conf`	CEST: Computation-Efficient N:M Sparse Training for Deep Neural Networks. DATE Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2023	J	`jnl`	Efficient N: M Sparse DNN Training Using Algorithm, Architecture, and Dataflow Co-Design. CoRR Chao Fang, Wei Sun, Aojun Zhou, Zhongfeng Wang
2023	C	`conf`	PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. ISCAS Qiong Li, Chao Fang, Zhongfeng Wang
2023	J	`jnl`	PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning Applications. CoRR Qiong Li, Chao Fang, Zhongfeng Wang
2022	J	`jnl`	An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. CoRR Chao Fang, Aojun Zhou, Zhongfeng Wang
2022	J	`jnl`	An Algorithm-Hardware Co-Optimized Framework for Accelerating N: M Sparse Transformers. IEEE Trans. Very Large Scale Integr. Syst. Chao Fang, Aojun Zhou, Zhongfeng Wang
2022	C	`conf`	An Efficient Hardware Accelerator for Sparse Transformer Neural Networks. ISCAS Chao Fang, Shouliang Guo, Wei Wu, Jun Lin, Zhongfeng Wang, Ming Kai Hsu, Lingzhi Liu
2022	J	`jnl`	BEBERT: Efficient and robust binary ensemble BERT. CoRR Jiayi Tian, Chao Fang, Haonan Wang, Zhongfeng Wang
2021	C	`conf`	Accelerating 3D Convolutional Neural Networks Using 3D Fast Fourier Transform. ISCAS Chao Fang, Liulu He, Haonan Wang, Jinghe Wei, Zhongfeng Wang
2021	J	`jnl`	Evaluations on Deep Neural Networks Training Using Posit Number System. IEEE Trans. Computers Jinming Lu, Chao Fang, Mingyang Xu, Jun Lin, Zhongfeng Wang
2020	—	`conf`	A Configurable FPGA Accelerator of Bi-LSTM Inference with Structured Sparsity. SoCC Shouliang Guo, Chao Fang, Jun Lin, Zhongfeng Wang
2019	—	`conf`	Training Deep Neural Networks Using Posit Number System. SoCC Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du
2019	J	`jnl`	Training Deep Neural Networks Using Posit Number System. CoRR Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du