Xiaofan Zhang - RankMe

60 papers A* 10A 6B 7Misc 1Journal 29Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Reconfigurable Stream Network Architecture. ISCA Chengyue Wang, Xiaofan Zhang, Jason Cong, James C. Hoe
2025	A*	`conf`	SSDTrain: An Activation Offloading Framework to SSDs for Faster Large Language Model Training. DAC Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-Mei Hwu
2024	J	`jnl`	Addressing Architectural Obstacles for Overlay with Stream Network Abstraction. CoRR Chengyue Wang, Xiaofan Zhang, Jason Cong, James C. Hoe
2024	J	`jnl`	AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongan Zhang, Xiaofan Zhang, Pengfei Xu, Yang Zhao, Cong Hao, Deming Chen, Yingyan Lin
2024	B	`conf`	HomeSGN: A Smarter Home with Novel Rule Mining Enabled by a Scorer-Generator GAN. ASPDAC Zehua Yuan, Junhao Pan, Xiaofan Zhang, Deming Chen
2024	B	`conf`	Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. ASPDAC Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen
2024	A*	`conf`	Invited: New Solutions on LLM Acceleration, Optimization, and Application. DAC Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024	J	`jnl`	New Solutions on LLM Acceleration, Optimization, and Application. CoRR Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen
2024	A*	`conf`	ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. NeurIPS Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin
2024	J	`jnl`	ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization. CoRR Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan Lin
2024	J	`jnl`	TBA: Faster Large Language Model Training Using SSD-Based Activation Offloading. CoRR Kun Wu, Jeongmin Brian Park, Xiaofan Zhang, Mert Hidayetoglu, Vikram Sharma Mailthody, Sitao Huang, Steven S. Lumetta, Wen-mei W. Hwu
2023	J	`jnl`	Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization. CoRR Clemens JS Schaefer, Navid Lambert-Shirzad, Xiaofan Zhang, Chiachen Chou, Tom Jablin, Jian Li, Elfie Guo, Caitlin Stanton, Siddharth Joshi, Yu Emma Wang
2023	J	`jnl`	Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search. CoRR Clemens JS Schaefer, Elfie Guo, Caitlin Stanton, Xiaofan Zhang, Tom Jablin, Navid Lambert-Shirzad, Jian Li, Chiachen Chou, Siddharth Joshi, Yu Emma Wang
2022	J	`jnl`	Algorithm/Accelerator Co-Design and Co-Search for Edge AI. IEEE Trans. Circuits Syst. II Express Briefs Xiaofan Zhang, Yuhong Li, Junhao Pan, Deming Chen
2022	J	`jnl`	AutoDistill: an End-to-End Framework to Explore and Distill Hardware-Efficient Language Models. CoRR Xiaofan Zhang, Zongwei Zhou, Deming Chen, Yu Emma Wang
2022	J	`jnl`	Efficient Machine Learning, Compilers, and Optimizations for Embedded Systems. CoRR Xiaofan Zhang, Yao Chen, Cong Hao, Sitao Huang, Yuhong Li, Deming Chen
2022	J	`jnl`	Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen
2022	—	`conf`	YouHome System and Dataset: Making Your Home Know You Better. iSES Junhao Pan, Zehua Yuan, Xiaofan Zhang, Deming Chen
2021	J	`jnl`	Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment. CoRR Xiaofan Zhang, Hanchen Ye, Deming Chen
2021	J	`jnl`	EH-DNAS: End-to-End Hardware-aware Differentiable Neural Architecture Search. CoRR Qian Jiang, Xiaofan Zhang, Deming Chen, Minh N. Do, Raymond A. Yeh
2021	J	`jnl`	Efficient Methods for Mapping Neural Machine Translator on FPGAs. IEEE Trans. Parallel Distributed Syst. Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2021	B	`conf`	Exploring HW/SW Co-Optimizations for Accelerating Large-scale Texture Identification on Distributed GPUs. ICPP Junsong Wang, Xiaofan Zhang, Yubo Li, Yonghua Lin
2021	A*	`conf`	F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. DAC Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li
2021	J	`jnl`	F-CAD: A Framework to Explore Hardware Accelerators for Codec Avatar Decoding. CoRR Xiaofan Zhang, Dawei Wang, Pierce Chuang, Shugao Ma, Deming Chen, Yuecheng Li
2021	B	`conf`	Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. FMCAD Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
2021	J	`jnl`	Scaling Up Hardware Accelerator Verification using A-QED with Functional Decomposition. CoRR Saranyu Chattopadhyay, Florian Lonsing, Luca Piccolboni, Deepraj Soni, Peng Wei, Xiaofan Zhang, Yuan Zhou, Luca P. Carloni, Deming Chen, Jason Cong, Ramesh Karri, Zhiru Zhang, Caroline Trippel, Clark W. Barrett, Subhasish Mitra
2020	A*	`conf`	A-QED Verification of Hardware Accelerators. DAC Eshan Singh, Florian Lonsing, Saranyu Chattopadhyay, Maxwell Strange, Peng Wei, Xiaofan Zhang, Yuan Zhou, Deming Chen, Jason Cong, Priyanka Raina, Zhiru Zhang, Clark W. Barrett, Subhasish Mitra
2020	A	`conf`	AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. FPGA Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020	J	`jnl`	AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. CoRR Pengfei Xu, Xiaofan Zhang, Cong Hao, Yang Zhao, Yongan Zhang, Yue Wang, Chaojian Li, Zetong Guan, Deming Chen, Yingyan Lin
2020	A	`conf`	DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. ICCAD Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	J	`jnl`	DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. CoRR Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2020	A*	`conf`	EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. DAC Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2020	J	`jnl`	EDD: Efficient Differentiable DNN Architecture and Implementation Co-search for Embedded AI Solutions. CoRR Yuhong Li, Cong Hao, Xiaofan Zhang, Xinheng Liu, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2020	—	`conf`	Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. ACM Great Lakes Symposium on VLSI Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	J	`jnl`	Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. CoRR Cong Hao, Yao Chen, Xiaofan Zhang, Yuhong Li, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2020	A*	`conf`	HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. DAC Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
2020	J	`jnl`	HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. CoRR Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen
2020	—	`conf`	SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	A Bi-Directional Co-Design Approach to Enable Deep Learning on IoT Devices. CoRR Xiaofan Zhang, Cong Hao, Yuhong Li, Yao Chen, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2019	A	`conf`	Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs. FPGA Yao Chen, Jiong He, Xiaofan Zhang, Cong Hao, Deming Chen
2019	A*	`conf`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. DAC Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	FPGA/DNN Co-Design: An Efficient Design Methodology for IoT Intelligence on the Edge. CoRR Cong Hao, Xiaofan Zhang, Yuhong Li, Sitao Huang, Jinjun Xiong, Kyle Rupnow, Wen-Mei Hwu, Deming Chen
2019	—	`conf`	Implementing neural machine translation with bi-directional GRU and attention mechanism on FPGAs using HLS. ASP-DAC Qin Li, Xiaofan Zhang, Jinjun Xiong, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	SiamVGG: Visual Tracking using Deeper Siamese Networks. CoRR Yuhong Li, Xiaofan Zhang
2019	J	`jnl`	SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. CoRR Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen
2019	J	`jnl`	SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. CoRR Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-mei W. Hwu, Deming Chen
2019	—	`conf`	T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA. ISVLSI Yao Chen, Kai Zhang, Cheng Gong, Cong Hao, Xiaofan Zhang, Tao Li, Deming Chen
2019	B	`conf`	µL2Q: An Ultra-Low Loss Quantization Method for DNN Compression. IJCNN Cheng Gong, Tao Li, Ye Lu, Cong Hao, Xiaofan Zhang, Deming Chen, Yao Chen
2018	Misc	`conf`	AccDNN: An IP-Based DNN Generator for FPGAs. FCCM Xiaofan Zhang, Junsong Wang, Chao Zhu, Yonghua Lin, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2018	A*	`conf`	CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. CVPR Yuhong Li, Xiaofan Zhang, Deming Chen
2018	J	`jnl`	CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes. CoRR Yuhong Li, Xiaofan Zhang, Deming Chen
2018	A	`conf`	DNNBuilder: an automated tool for building high-performance DNN hardware accelerators for FPGAs. ICCAD Xiaofan Zhang, Junsong Wang, Chao Zhu, Yonghua Lin, Jinjun Xiong, Wen-mei W. Hwu, Deming Chen
2018	B	`conf`	Design Flow of Accelerating Hybrid Extremely Low Bit-Width Neural Network in Embedded FPGA. FPL Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen
2018	J	`jnl`	Design Flow of Accelerating Hybrid Extremely Low Bit-width Neural Network in Embedded FPGA. CoRR Junsong Wang, Qiuwen Lou, Xiaofan Zhang, Chao Zhu, Yonghua Lin, Deming Chen
2018	—	`conf`	Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs. ACM Great Lakes Symposium on VLSI Chuanhao Zhuge, Xinheng Liu, Xiaofan Zhang, Sudeep Gummadi, Jinjun Xiong, Deming Chen
2018	J	`jnl`	Face Recognition with Hybrid Efficient Convolution Algorithms on FPGAs. CoRR Chuanhao Zhuge, Xinheng Liu, Xiaofan Zhang, Sudeep Gummadi, Jinjun Xiong, Deming Chen
2017	—	`conf`	An energy efficient approach for C4.5 algorithm using OpenCL design flow. FPT Hai Peng, Xiaofan Zhang, Letian Huang
2017	B	`conf`	High-performance video content recognition with long-term recurrent convolutional network for FPGA. FPL Xiaofan Zhang, Xinheng Liu, Anand Ramachandran, Chuanhao Zhuge, Shibin Tang, Peng Ouyang, Zuofu Cheng, Kyle Rupnow, Deming Chen
2017	A	`conf`	Machine learning on FPGAs to face the IoT revolution. ICCAD Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen
2017	A	`conf`	Machine learning on FPGAs to face the IoT revolution. ICCAD Xiaofan Zhang, Anand Ramachandran, Chuanhao Zhuge, Di He, Wei Zuo, Zuofu Cheng, Kyle Rupnow, Deming Chen