Boundary recognition in sensor networks by topological methods. - Yue Wang 036; Jie Gao 001; Joseph S. B. Mitchell (MobiCom, 2006)

Discovery of Sensor Network Layout using Connectivity Information. - Jie Gao 001; Sol Lederer; Yue Wang 036 (Geometry in Sensor Networks, 2007)

Geodesic Delaunay triangulation and witness complex in the plane. - Jie Gao 001; Leonidas J. Guibas; Steve Oudot; Yue Wang 036 (SODA, 2008)

Connectivity-Based Sensor Network Localization with Incremental Delaunay Refinement Method. - Yue Wang 036; Sol Lederer; Jie Gao 001 (INFOCOM, 2009)

Connectivity-based localization of large-scale sensor networks with complex shape. - Sol Lederer; Yue Wang 036; Jie Gao 001 (ACM Trans. Sens. Networks, 2009)

Geodesic delaunay triangulations in bounded planar domains. - Steve Oudot; Leonidas J. Guibas; Jie Gao 001; Yue Wang 036 (ACM Trans. Algorithms, 2010)

Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions. - Junru Wu; Yue Wang 036; Zhenyu Wu 002; Zhangyang Wang; Ashok Veeraraghavan; Yingyan Lin (ICML, 2018)

Live Demonstration: Bringing Powerful Deep Learning into Daily-Life Devices (Mobiles and FPGAs) Via Deep k-Means. - Pengfei Xu 011; Yue Wang 036; Yang Zhao 013; Yingyan Lin (ISCAS, 2019)

E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings. - Yue Wang 036; Ziyu Jiang; Xiaohan Chen; Pengfei Xu 011; Yang Zhao 013; Yingyan Lin; Zhangyang Wang (NeurIPS, 2019)

Drawing early-bird tickets: Towards more efficient training of deep networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Yingyan Lin; Zhangyang Wang; Richard G. Baraniuk (CoRR, 2019)

E2-Train: Energy-Efficient Deep Network Training with Data-, Model-, and Algorithm-Level Saving. - Yue Wang 036; Ziyu Jiang; Xiaohan Chen; Pengfei Xu 011; Yang Zhao 013; Yingyan Lin; Zhangyang Wang (CoRR, 2019)

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference. - Jianghao Shen; Yue Wang 036; Pengfei Xu 011; Yonggan Fu; Zhangyang Wang; Yingyan Lin (AAAI, 2020)

AutoDNNchip: An Automated DNN Chip Predictor and Builder for Both FPGAs and ASICs. - Pengfei Xu 011; Xiaofan Zhang 001; Cong Hao; Yang Zhao 013; Yongan Zhang; Yue Wang 036; Chaojian Li; Zetong Guan; Deming Chen; Yingyan Lin (FPGA, 2020)

DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures. - Yang Zhao 013; Chaojian Li; Yue Wang 036; Pengfei Xu 011; Yongan Zhang; Yingyan Lin (ICASSP, 2020)

Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks. - Haoran You; Chaojian Li; Pengfei Xu 011; Yonggan Fu; Yue Wang 036; Xiaohan Chen; Richard G. Baraniuk; Zhangyang Wang; Yingyan Lin (ICLR, 2020)

SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. - Yang Zhao 013; Xiaohan Chen; Yue Wang 036; Chaojian Li; Haoran You; Yonggan Fu; Yuan Xie 001; Zhangyang Wang; Yingyan Lin (ISCA, 2020)

A New MRAM-Based Process In-Memory Accelerator for Efficient Neural Network Training with Floating Point Precision. - Hongjie Wang 002; Yang Zhao 013; Chaojian Li; Yue Wang 036; Yingyan Lin (ISCAS, 2020)

FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training. - Yonggan Fu; Haoran You; Yang Zhao 013; Yue Wang 036; Chaojian Li; Kailash Gopalakrishnan; Zhangyang Wang; Yingyan Lin (NeurIPS, 2020)

Dual Dynamic Inference: Enabling More Efficient, Adaptive, and Controllable Deep Inference. - Yue Wang 036; Jianghao Shen; Ting-Kuei Hu; Pengfei Xu 011; Tan M. Nguyen; Richard G. Baraniuk; Zhangyang Wang; Yingyan Lin (IEEE J. Sel. Top. Signal Process., 2020)

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. - Yonggan Fu; Yang Zhang 001; Yue Wang 036; Zhihan Lu; Vivek Boominathan; Ashok Veeraraghavan; Yingyan Lin (ICCV, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Cong Hao; Yingyan Lin (ICLR, 2021)

SmartDeal: Re-Modeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (CoRR, 2021)

HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark. - Chaojian Li; Zhongzhi Yu; Yonggan Fu; Yongan Zhang; Yang Zhao 013; Haoran You; Qixuan Yu 001; Yue Wang 036; Yingyan Lin (CoRR, 2021)

Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception. - Yiming Li 003; Juexiao Zhang; Dekun Ma; Yue Wang 036; Chen Feng 002 (CoRL, 2022)

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving. - Yiming Li 003; Sihang Li 001; Xinhao Liu 003; Moonjun Gong; Kenan Li; Nuo Chen 003; Zijun Wang; Zhiheng Li; Tao Jiang; Fisher Yu 001; Yue Wang 036; Hang Zhao; et al. (CoRR, 2023)

SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training. - Xiaohan Chen; Yang Zhao 013; Yue Wang 036; Pengfei Xu 011; Haoran You; Chaojian Li; Yonggan Fu; Yingyan Lin; Zhangyang Wang (IEEE Trans. Neural Networks Learn. Syst., 2023)

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. - Yuxuan Kuang; Junjie Ye; Haoran Geng; Jiageng Mao; Congyue Deng; Leonidas J. Guibas; He Wang 010; Yue Wang 036 (CoRL, 2024)

Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning. - Yang You 004; Yixin Li; Congyue Deng; Yue Wang 036; Leonidas J. Guibas (ICLR, 2025)