A High-Accuracy DOA Estimation Method in the Presence of Phase Noise for Switched Antenna Array Systems.

Ruizhe Zhao Zian Zhao Zhi Zhang 0003 Ruizhe Zhao Jianhong Chu A High-Accuracy DOA Estimation Method in the Presence of Phase Noise for Switched Antenna Array Systems. ICC Workshops 2026 1-6 conf/icc/2026w https://doi.org/10.1109/ICCWorkshops63917.2026.11586284 db/conf/icc/icc2026w.html#ZhaoZZC26 streams/conf/icc

Tianshu Su Zhi Zhang 0003 Jianhong Chu Ruizhe Zhao Yuzhen Huang 0001 Joint DOA and TOA Estimation for Moving MIMO Radar Based on OFDM-ISAC Signals. 9430-9444 2025 June 74 IEEE Trans. Veh. Technol. 6 https://doi.org/10.1109/TVT.2025.3541834 db/journals/tvt/tvt74.html#SuZCZH25 streams/journals/tvt

Ruizhe Zhao Zhi Zhang 0003 Jianhong Chu Tianshu Su Linear Array Motion-Based Time-Varying Channel Estimation for Three-Dimensional Millimeter-Wave Systems. 1-6 2025 WCNC https://doi.org/10.1109/WCNC61545.2025.10978585 conf/wcnc/2025 db/conf/wcnc/wcnc2025.html#Zhao0CS25

Enming Zhang Zhengyu Li Yanru Wu Jingge Wang Yang Tan Ruizhe Zhao Guan Wang Yang Li Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation. 2025 April abs/2504.05774 CoRR https://doi.org/10.48550/arXiv.2504.05774 db/journals/corr/corr2504.html#abs-2504-05774 streams/journals/corr

Yingjie Yu Ling Yang Houji Zhou Ruizhe Zhao Yi Li 0049 Hao Tong Xiangshui Miao In-Memory Search for Highly Efficient Image Retrieval. 2023 March 5 Adv. Intell. Syst. 3 https://doi.org/10.1002/aisy.202200268 db/journals/aisy/aisy5.html#YuYZZLTM23

Ruizhe Zhao Yingxue Mu Long Zou Xiumei Wen A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier. 71414-71426 2022 10 IEEE Access https://doi.org/10.1109/ACCESS.2022.3186975 db/journals/access/access10.html#ZhaoMZW22

Ruizhe Zhao Jianyi Cheng Wayne Luk George A. Constantinides POLSCA: Polyhedral High-Level Synthesis with Compiler Transformations. 235-242 2022 FPL https://doi.org/10.1109/FPL57034.2022.00044 conf/fpl/2022 db/conf/fpl/fpl2022.html#ZhaoCLC22 Ruizhe Zhao NSL-KDD. 2022 February https://doi.org/10.21227/8rpg-qt98 IEEE DataPort streams/repo/ieeedataport

Zhiqiang Que Daniel Holanda Noronha Ruizhe Zhao Xinyu Niu Steven J. E. Wilton Wayne Luk In-circuit tuning of deep learning designs. 102198 2021 118 J. Syst. Archit. https://doi.org/10.1016/j.sysarc.2021.102198 db/journals/jsa/jsa118.html#QueNZNWL21

William S. Moses Lorenzo Chelini Ruizhe Zhao Oleksandr Zinenko Polygeist: Raising C to Polyhedral MLIR. 45-59 2021 PACT https://doi.org/10.1109/PACT52795.2021.00011 conf/IEEEpact/2021 db/conf/IEEEpact/pact2021.html#MosesCZZ21 Ruizhe Zhao Yingxue Mu Xiumei Wen Intrusion Detection Based on GA-XGB Algorithm. 150-157 2021 DMBD (1) https://doi.org/10.1007/978-981-16-7476-1_14 conf/dmbd/2021-1 db/conf/dmbd/dmbd2021-1.html#ZhaoMW21

Ruizhe Zhao Jianyi Cheng Phism: Polyhedral High-Level Synthesis in MLIR. 2021 abs/2103.15103 CoRR https://arxiv.org/abs/2103.15103 db/journals/corr/corr2103.html#abs-2103-15103

Zhiqiang Que Daniel Holanda Noronha Ruizhe Zhao Xinyu Niu Steven J. E. Wilton Wayne Luk Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs. 301 2020 FPT https://doi.org/10.1109/ICFPT51103.2020.00057 conf/icfpt/2020 db/conf/icfpt/icfpt2020.html#QueNZNWL20 Ruizhe Zhao Brian Vogel Tanvir Ahmed Wayne Luk Reducing Underflow in Mixed Precision Training by Gradient Scaling. 2922-2928 2020 IJCAI https://doi.org/10.24963/ijcai.2020/404 conf/ijcai/2020 db/conf/ijcai/ijcai2020.html#ZhaoVAL20 Ruizhe Zhao Wayne Luk Chao Xiong Xinyu Niu Kuen Hung Tsoi On the challenges in programming mixed-precision deep neural networks. 20-28 2020 MAPL@PLDI https://doi.org/10.1145/3394450.3397468 https://www.wikidata.org/entity/Q130887717 conf/pldi/2020mapl db/conf/pldi/mapl2020.html#ZhaoLXNT20

Erwei Wang James J. Davis 0001 Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk Peter Y. K. Cheung George A. Constantinides Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. 40:1-40:39 2019 52 ACM Comput. Surv. 2 https://doi.org/10.1145/3309551 https://www.wikidata.org/entity/Q130993092 db/journals/csur/csur52.html#WangDZNNLCC19

Daniel Holanda Noronha Ruizhe Zhao Jeffrey Goeders Wayne Luk Steven J. E. Wilton On-chip FPGA Debug Instrumentation for Machine Learning Applications. 110-115 2019 FPGA https://doi.org/10.1145/3289602.3293922 https://www.wikidata.org/entity/Q130844468 conf/fpga/2019 db/conf/fpga/fpga2019.html#NoronhaZGLW19 Zhiqiang Que Daniel Holanda Noronha Ruizhe Zhao Steven J. E. Wilton Wayne Luk Towards In-Circuit Tuning of Deep Learning Designs. 1-6 2019 ICCAD https://doi.org/10.1109/ICCAD45719.2019.8942117 conf/iccad/2019 db/conf/iccad/iccad2019.html#QueNZWL19 Ruizhe Zhao Wayne Luk Efficient Structured Pruning and Architecture Searching for Group Convolution. 1961-1970 2019 ICCV Workshops https://doi.org/10.1109/ICCVW.2019.00245 conf/iccvw/2019 db/conf/iccvw/iccvw2019.html#ZhaoL19 Daniel Holanda Noronha Ruizhe Zhao Zhiqiang Que Jeffrey Goeders Wayne Luk Steven J. E. Wilton An Overlay for Rapid FPGA Debug of Machine Learning Applications. 135-143 2019 FPT https://doi.org/10.1109/ICFPT47387.2019.00024 conf/icfpt/2019 db/conf/icfpt/icfpt2019.html#NoronhaZQGLE19

Erwei Wang James J. Davis 0001 Ruizhe Zhao Ho-Cheung Ng Xinyu Niu Wayne Luk Peter Y. K. Cheung George A. Constantinides Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going. 2019 abs/1901.06955 CoRR http://arxiv.org/abs/1901.06955 db/journals/corr/corr1901.html#abs-1901-06955

Ruizhe Zhao Brian Vogel Tanvir Ahmed Adaptive Loss Scaling for Mixed Precision Training. 2019 abs/1910.12385 CoRR http://arxiv.org/abs/1910.12385 db/journals/corr/corr1910.html#abs-1910-12385

Ruizhe Zhao Shuanglong Liu Ho-Cheung Ng Erwei Wang James J. Davis 0001 Xinyu Niu Xiwei Wang Huifeng Shi George A. Constantinides Peter Y. K. Cheung Wayne Luk Hardware Compilation of Deep Neural Networks: An Overview. 1-8 2018 ASAP https://doi.org/10.1109/ASAP.2018.8445088 https://doi.ieeecomputersociety.org/10.1109/ASAP.2018.8445088 conf/asap/2018 db/conf/asap/asap2018.html#ZhaoLNWDNWSCCL18 Ruizhe Zhao Xinyu Niu Wayne Luk Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only). 285 2018 FPGA https://doi.org/10.1145/3174243.3174959 https://www.wikidata.org/entity/Q130849385 conf/fpga/2018 db/conf/fpga/fpga2018.html#ZhaoNL18 Ruizhe Zhao Ho-Cheung Ng Wayne Luk Xinyu Niu Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. 147-154 2018 FPL https://doi.org/10.1109/FPL.2018.00033 https://doi.ieeecomputersociety.org/10.1109/FPL.2018.00033 conf/fpl/2018 db/conf/fpl/fpl2018.html#ZhaoNLN18 Jiajun Gao Yongxin Zhu 0001 Meikang Qiu Kuen Hung Tsoi Xinyu Niu Wayne Luk Ruizhe Zhao Zhiqiang Que Wei Mao Can Feng Xiaowen Zha Guobao Deng Jiayi Chen Tao Liu Reconfigurable Hardware Generation for Tensor Flow Models of CNN Algorithms on a Heterogeneous Acceleration Platform. 87-96 2018 SmartCom https://doi.org/10.1007/978-3-030-05755-8_9 conf/smartcom/2018 db/conf/smartcom/smartcom2018.html#Gao0QTNLZQMFZDC18

Ruizhe Zhao Ho-Cheung Ng Wayne Luk Xinyu Niu Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. 2018 abs/1809.03318 CoRR http://arxiv.org/abs/1809.03318 db/journals/corr/corr1809.html#abs-1809-03318

Ruizhe Zhao Wayne Luk Learning Grouped Convolution for Efficient Domain Adaptation. 2018 abs/1811.09341 CoRR http://arxiv.org/abs/1811.09341 db/journals/corr/corr1811.html#abs-1811-09341

Yun Liang 0001 Wai Teng Tang Ruizhe Zhao Mian Lu Huynh Phung Huynh Rick Siow Mong Goh Scale-Free Sparse Matrix-Vector Multiplication on Many-Core Architectures. 2106-2119 2017 36 IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 12 https://doi.org/10.1109/TCAD.2017.2681072 db/journals/tcad/tcad36.html#LiangTZLHG17

Ruizhe Zhao Xinyu Niu Yajie Wu Wayne Luk Qiang Liu 0011 Optimizing CNN-Based Object Detection Algorithms on Embedded FPGA Platforms. 255-267 2017 ARC https://doi.org/10.1007/978-3-319-56258-2_22 conf/arc/2017 db/conf/arc/arc2017.html#ZhaoNWLL17 Ruizhe Zhao Tim Todman Wayne Luk Xinyu Niu DeepPump: Multi-pumping deep Neural Networks. 206 2017 ASAP https://doi.org/10.1109/ASAP.2017.7995281 https://doi.ieeecomputersociety.org/10.1109/ASAP.2017.7995281 conf/asap/2017 db/conf/asap/asap2017.html#ZhaoTLN17 Ruizhe Zhao Wayne Luk Xinyu Niu Huifeng Shi Haitao Wang Hardware Acceleration for Machine Learning. 645-650 2017 ISVLSI https://doi.org/10.1109/ISVLSI.2017.127 https://doi.ieeecomputersociety.org/10.1109/ISVLSI.2017.127 conf/isvlsi/2017 db/conf/isvlsi/isvlsi2017.html#ZhaoLNSW17 Wai Teng Tang Ruizhe Zhao Mian Lu Yun Liang 0001 Huynh Phung Huyng Xibai Li Rick Siow Mong Goh Optimizing and auto-tuning scale-free sparse matrix-vector multiplication on Intel Xeon Phi. 136-145 2015 CGO https://doi.org/10.1109/CGO.2015.7054194 https://doi.ieeecomputersociety.org/10.1109/CGO.2015.7054194 http://dl.acm.org/citation.cfm?id=2738618 conf/cgo/2015 db/conf/cgo/cgo2015.html#TangZLLHLG15

Zhen Gao Ruizhe Zhao Jianhua Ruan A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks. S4 2013 14 BMC Genom. S-1 https://doi.org/10.1186/1471-2164-14-S1-S4 db/journals/bmcgenomics/bmcgenomics14S.html#GaoZR13

Zhen Gao Ruizhe Zhao Jianhua Ruan A genome-wide cis-regulatory element discovery method based on promoter sequences and gene co-expression networks. 74-75 2012 RACS https://doi.org/10.1145/2401603.2401620 conf/racs/2012 db/conf/racs/racs2012.html#GaoZR12 Tanvir Ahmed Lorenzo Chelini Jiayi Chen Jianyi Cheng Peter Y. K. Cheung Jianhong Chu George A. Constantinides James J. Davis 0001 Guobao Deng Can Feng Jiajun Gao Zhen Gao Jeffrey B. GoedersJeffrey Goeders Rick Siow Mong Goh Yuzhen Huang 0001 Huynh Phung Huyng Huynh Phung Huynh Xibai Li Yang Li Yi Li 0049 Zhengyu Li Yun Liang 0001 Qiang Liu 0011 Shuanglong Liu Tao Liu Mian Lu Wayne Luk Wei Mao Xiangshui Miao William S. Moses Yingxue Mu Ho-Cheung Ng Xinyu Niu Daniel H. NoronhaDaniel Holanda Noronha Meikang Qiu Zhiqiang Que Jianhua Ruan Huifeng Shi Tianshu Su Yang Tan Wai Teng Tang Tim Todman Hao Tong Kuen Hung Tsoi Brian K. VogelBrian Vogel Erwei Wang Guan Wang Haitao Wang Jingge Wang Xiwei Wang Xiumei Wen Steve WiltonSteven J. E. Wilton Yajie Wu Yanru Wu Chao Xiong Ling Yang Yingjie Yu Xiaowen Zha Enming Zhang Zhi Zhang 0003 Zian Zhao Houji Zhou Yongxin Zhu 0001 Oleksandr Zinenko Long Zou