Finding Disaster Victims: Robot-Assisted 3D Mapping of Urban Search and Rescue Environments via Landmark Identification. - Goldie Nejat; Zhe Zhang 006 (ICARCV, 2006)

Finding Disaster Victims: A Sensory System for Robot-Assisted 3D Mapping of Urban Search and Rescue Environments. - Zhe Zhang 006; Hong Guo; Goldie Nejat; Peisen Huang (ICRA, 2007)

Robot-assisted intelligent 3D mapping of unknown cluttered search and rescue environments. - Zhe Zhang 006; Goldie Nejat (IROS, 2008)

Intelligent Sensing Systems for Rescue Robots: Landmark Identification and Three-Dimensional Mapping of Unknown Cluttered Urban Search and Rescue Environments. - Zhe Zhang 006; Goldie Nejat (Adv. Robotics, 2009)

Human Body Pose Interpretation and Classification for Social Human-Robot Interaction. - Derek McColl; Zhe Zhang 006; Goldie Nejat (Int. J. Soc. Robotics, 2011)

A novel 3D sensory system for robot-assisted mapping of cluttered urban search and rescue environments. - Zhe Zhang 006; Goldie Nejat; Hong Guo; Peisen Huang (Intell. Serv. Robotics, 2011)

Computer Architectures for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Zhe Zhang 006; Jean-Luc Gaudiot (Computer, 2017)

Learn-Memorize-Recall-Reduce A Robotic Cloud Computing Paradigm. - Shaoshan Liu; Bolin Ding; Jie Tang 003; Dawei Sun; Zhe Zhang 006; Grace Tsai; Jean-Luc Gaudiot (CoRR, 2017)

CAAD: Computer Architecture for Autonomous Driving. - Shaoshan Liu; Jie Tang 003; Zhe Zhang 006; Jean-Luc Gaudiot (CoRR, 2017)

PIRVS: An Advanced Visual-Inertial SLAM System with Flexible Sensor Fusion and Hardware Co-Design. - Zhe Zhang 006; Shaoshan Liu; Grace Tsai; Hongbing Hu; Chen-Chi Chu; Feng Zheng (ICRA, 2018)

π-SoC: Heterogeneous SoC Architecture for Visual Inertial SLAM Applications. - Jie Tang 003; Bo Yu 014; Shaoshan Liu; Zhe Zhang 006; Weikang Fang; Yanjun Zhang (IROS, 2018)

Trifo-VIO: Robust and Efficient Stereo Visual Inertial Odometry Using Points and Lines. - Feng Zheng; Grace Tsai; Zhe Zhang 006; Shaoshan Liu; Chen-Chi Chu; Hongbing Hu (IROS, 2018)

Investigation on the amplitude coupling effect of random telegraph noise (RTN) in nanoscale FinFETs. - Shaofeng Guo; Zhenghan Lin; Runsheng Wang; Zexuan Zhang; Zhe Zhang 006; Yangyuan Wang; Ru Huang 001 (IRPS, 2018)

PIRT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Applications on Heterogeneous Architectures. - Liu Liu 017; Shaoshan Liu; Zhe Zhang 006; Bo Yu 014; Jie Tang 003; Yuan Xie 001 (CoRR, 2018)

PI-VIO: Robust and Efficient Stereo Visual Inertial Odometry using Points and Lines. - Feng Zheng; Grace Tsai; Zhe Zhang 006; Shaoshan Liu; Chen-Chi Chu; Hongbing Hu (CoRR, 2018)

OMI/TMI-based Modeling and Fast Simulation of Random Telegraph Noise (RTN) in Advanced Logic Devices and Circuits. - Runsheng Wang; Zhe Zhang 006; Shaofeng Guo; Qingxue Wang; Dehuang Wu; Joddy Wang; Ru Huang 001 (ASICON, 2019)

New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework. - Zhe Zhang 006; Runsheng Wang; Cheng Chen; Qianqian Huang; Yangyuan Wang; Cheng Hu; Dehuang Wu; Joddy Wang; Ru Huang 001 (CoRR, 2019)

Reliability-Enhanced Circuit Design Flow Based on Approximate Logic Synthesis. - Zuodong Zhang; Runsheng Wang; Zhe Zhang 006; Ru Huang 001; Chang Meng; Weikang Qian; Zhuangzhuang Zhou (ACM Great Lakes Symposium on VLSI, 2020)

Circuit Reliability Comparison Between Stochastic Computing and Binary Computing. - Zuodong Zhang; Runsheng Wang; Zhe Zhang 006; Yawen Zhang; Shaofeng Guo; Ru Huang 001 (IEEE Trans. Circuits Syst., 2020)

BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices. - Zhe Zhou 002; Bizhao Shi; Zhe Zhang 006; Yijin Guan; Guangyu Sun 003; Guojie Luo (DAC, 2021)

Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. - Xingchen Li; Bingzhe Wu; Guangyu Sun 003; Zhe Zhang 006; Zhihang Yuan; Runsheng Wang; Ru Huang 001; Dimin Niu; Hongzhong Zheng; Zhichao Lu; Liang Zhao; Meng-Fan Marvin Chang; et al. (HPCA, 2022)

Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. - Shuangchen Li; Dimin Niu; Yuhao Wang 002; Wei Han; Zhe Zhang 006; Tianchan Guan; Yijin Guan; Heng Liu; Linyong Huang; Zhaoyang Du; Fei Xue; Yuanwei Fang; et al. (ISCA, 2022)

184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System. - Dimin Niu; Shuangchen Li; Yuhao Wang 002; Wei Han; Zhe Zhang 006; Yijin Guan; Tianchan Guan; Fei Sun; Fei Xue; Lide Duan; Yuanwei Fang; Hongzhong Zheng; et al. (ISSCC, 2022)

Practical Near-Data-Processing Architecture for Large-Scale Distributed Graph Neural Network. - Linyong Huang; Zhe Zhang 006; Shuangchen Li; Dimin Niu; Yijin Guan; Hongzhong Zheng; Yuan Xie 001 (IEEE Access, 2022)

EPQuant: A Graph Neural Network compression approach based on product quantization. - Linyong Huang; Zhe Zhang 006; Zhaoyang Du; Shuangchen Li; Hongzhong Zheng; Yuan Xie 001; Nianxiong Tan (Neurocomputing, 2022)