Improving temporal and spatial consistency of forest biomass data by integrating forest yield tables and satellite radar data. - Wenjun Chen; Josef Cihlar; Goran Pavlic; Quanfa Zhang; Richard Fernandes 001; Shusen Wang; Jeremy T. Kerr; Chhun-Huor Ung; D. T. Price; Mahta Moghaddam; Kenneth R. McDonald (IGARSS, 2002)

Diurnal variation of direct and diffuse radiation and its impact on surface albedo. - Shusen Wang; Sylvain G. Leblanc; Richard A. Fernandes; Josef Cihlar (IGARSS, 2002)

Sensitivity assessment of simulated evapotranspiration and groundwater recharge across a shallow water region for diverse land cover and soil properties. - Anita Simic; Richard Fernandes 001; Shusen Wang (IGARSS, 2004)

Using Satellite Remote Sensing to Assess and Monitor Ecosystem Integrity and Climate Change in Canadas National Parks. - Ian Olthof; Darren Pouliot; Robert H. Fraser; Andrea Clouston; Shusen Wang; Wenjun Chen; Jonathan Orazietti; Jean Poitevin; Donald McLennan; J. Kerr; Michael C. Sawada (IGARSS, 2006)

Module-based large-scale software evolution based on complex networks. - Tao Chen; Qing Gu 001; Shusen Wang; Xiaoan Chen; Daoxu Chen (CIT, 2008)

Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing. - Wenjun Liu; Baoxin Hu; Shusen Wang (IGARSS (2), 2008)

Efficient Subspace Segmentation via Quadratic Programming. - Shusen Wang; Xiaotong Yuan; Tiansheng Yao; Shuicheng Yan; Jialie Shen 001 (AAAI, 2011)

Colorization by Matrix Completion. - Shusen Wang; Zhihua Zhang 008 (AAAI, 2012)

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. - Shusen Wang; Zhihua Zhang 008 (NIPS, 2012)

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound - Shusen Wang; Zhihua Zhang 008; Jian Li (CoRR, 2012)

EP-GIG Priors and Applications in Bayesian Sparse Learning. - Zhihua Zhang 004; Shusen Wang; Dehua Liu; Michael I. Jordan (J. Mach. Learn. Res., 2012)

Nonconvex Relaxation Approaches to Robust Matrix Recovery. - Shusen Wang; Dehua Liu; Zhihua Zhang 008 (IJCAI, 2013)

On The Lower Bounds of The Nyström Method - Shusen Wang (CoRR, 2013)

Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling. - Shusen Wang; Zhihua Zhang 008 (J. Mach. Learn. Res., 2013)

Exact Subspace Clustering in Linear Time. - Shusen Wang; Bojun Tu; Congfu Xu; Zhihua Zhang 008 (AAAI, 2014)

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. - Shusen Wang; Chao Zhang 029; Hui Qian 001; Zhihua Zhang 008 (AAAI, 2014)

Efficient Algorithms and Error Analysis for the Modified Nystrom Method. - Shusen Wang; Zhihua Zhang 008 (AISTATS, 2014)

Transfer Understanding from Head Queries to Tail Queries. - Yangqiu Song; Haixun Wang; Weizhu Chen; Shusen Wang (CIKM, 2014)

Making Fisher Discriminant Analysis Scalable. - Bojun Tu; Zhihua Zhang 008; Shusen Wang; Hui Qian 001 (ICML, 2014)

Improving the modified nyström method using spectral shifting. - Shusen Wang; Chao Zhang 029; Hui Qian 001; Zhihua Zhang 008 (KDD, 2014)

Sharpened Error Bound for Random Sampling Based ℓ2 Regression. - Shusen Wang (CoRR, 2014)

The Modified Nystrom Method: Theories, Algorithms, and Extension. - Shusen Wang; Luo Luo; Zhihua Zhang 004 (CoRR, 2014)

Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion. - Shusen Wang; Tong Zhang 001; Zhihua Zhang 004 (CoRR, 2014)

A new simulation method based on continuous tangent motion model for spaceborne high-resolution SAR. - Shusen Wang; Ze Yu; Lvqian Zhang; Na Pu (IGARSS, 2015)

Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. - Yangqiu Song; Shusen Wang; Haixun Wang (IJCAI, 2015)

A Practical Guide to Randomized Matrix Computations with MATLAB Implementations. - Shusen Wang (CoRR, 2015)

Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition. - Shusen Wang; Zhihua Zhang 004; Tong Zhang 001 (CoRR, 2015)

Improved Analyses of the Randomized Power Method and Block Lanczos Method. - Shusen Wang; Zhihua Zhang 004; Tong Zhang 001 (CoRR, 2015)

An Imaging Compensation Algorithm for Correcting the Impact of Tropospheric Delay on Spaceborne High-Resolution SAR. - Ze Yu; Zhou Li 002; Shusen Wang (IEEE Trans. Geosci. Remote. Sens., 2015)

SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions. - Shusen Wang; Luo Luo; Zhihua Zhang 004 (J. Mach. Learn. Res., 2016)

Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition. - Shusen Wang; Zhihua Zhang 004; Tong Zhang 001 (J. Mach. Learn. Res., 2016)

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model. - Ze Yu; Shusen Wang; Zhou Li 002 (Remote. Sens., 2016)

Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. - Shusen Wang; Alex Gittens; Michael W. Mahoney (CoRR, 2017)

Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm. - Youzuo Lin; Shusen Wang; Jayaraman J. Thiagarajan; George Guthrie; David Coblentz (CoRR, 2017)

Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. - Shusen Wang; Alex Gittens; Michael W. Mahoney (J. Mach. Learn. Res., 2017)

Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations. - Shusen Wang; Fuqun Zhou; Hazen A. J. Russell (Remote. Sens., 2017)

OverSketch: Approximate Matrix Multiplication for the Cloud. - Vipul Gupta; Shusen Wang; Thomas A. Courtade; Kannan Ramchandran (IEEE BigData, 2018)

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. - Miles E. Lopes; Shusen Wang; Michael W. Mahoney (ICML, 2018)

A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering. - Yukun Guo; Ze Yu; Shusen Wang; Jingwen Li 003 (IGARSS, 2018)

Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar. - Shusen Wang; Ze Yu; Yukun Guo; Liwei Sun; Yanan Yu (IGARSS, 2018)

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. - Alex Gittens; Kai Rothauge; Shusen Wang; Michael W. Mahoney; Lisa Gerhardt; Prabhat; Jey Kottalam; Michael F. Ringenburg; Kristyn J. Maschhoff (KDD, 2018)

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. - Shusen Wang; Farbod Roosta-Khorasani; Peng Xu; Michael W. Mahoney (NeurIPS, 2018)

A model for downscaling SMOS soil moisture using Sentinel-1 SAR data. - Junhua Li; Shusen Wang; Grant Gunn; Pamela Joosse; Hazen A. J. Russell (Int. J. Appl. Earth Obs. Geoinformation, 2018)

A new method for generating a clear-sky Landsat composite for cropland from cloud-contaminated Landsat-7 and Landsat-8 images. - Junhua Li; Shusen Wang (Int. J. Digit. Earth, 2018)

Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval. - Junhua Li; Shusen Wang (Remote. Sens., 2018)

Joint Design of Space-Time Transmit and Receive Weights for Colocated MIMO Radar. - Ze Yu; Shusen Wang; Wei Liu 001; Chunsheng Li (Sensors, 2018)

A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. - Shusen Wang (AAAI, 2019)

Alchemist: An Apache Spark ⇔ MPI interface. - Alex Gittens; Kai Rothauge; Shusen Wang; Michael W. Mahoney; Jey Kottalam; Lisa Gerhardt; Prabhat; Michael F. Ringenburg; Kristyn J. Maschhoff (Concurr. Comput. Pract. Exp., 2019)

Matrix Sketching for Secure Collaborative Machine Learning. - Shusen Wang (CoRR, 2019)

Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. - Shusen Wang (CoRR, 2019)

Communication Efficient Decentralized Training with Multiple Local Updates. - Xiang Li 050; Wenhao Yang; Shusen Wang; Zhihua Zhang 004 (CoRR, 2019)

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. - Songgaojun Deng; Shusen Wang; Huzefa Rangwala; Lijing Wang 001; Yue Ning 001 (CoRR, 2019)

Fast Generalized Matrix Regression with Applications in Machine Learning. - Haishan Ye; Shusen Wang; Zhihua Zhang 004; Tong Zhang 001 (CoRR, 2019)

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. - Miles E. Lopes; Shusen Wang; Michael W. Mahoney (J. Mach. Learn. Res., 2019)

Scalable Kernel K-Means Clustering with Nystr "om Approximation: Relative-Error Bounds. - Shusen Wang; Alex Gittens; Michael W. Mahoney (J. Mach. Learn. Res., 2019)

Effects of Distinguishing Vegetation Types on the Estimates of Remotely Sensed Evapotranspiration in Arid Regions. - Tao Du; Li Wang; Guofu Yuan; Xiaomin Sun 002; Shusen Wang (Remote. Sens., 2019)

An Imaging Algorithm for Spaceborne High-Squint L-Band SAR Based on Time-Domain Rotation. - Liwei Sun; Ze Yu; Chunsheng Li; Wei Liu 001; Shusen Wang; Jiwen Geng (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Do Subsampled Newton Methods Work for High-Dimensional Data? - Xiang Li 050; Shusen Wang; Zhihua Zhang 004 (AAAI, 2020)

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. - Songgaojun Deng; Shusen Wang; Huzefa Rangwala; Lijing Wang 001; Yue Ning 001 (CIKM, 2020)

On the Convergence of FedAvg on Non-IID Data. - Xiang Li 050; Kaixuan Huang; Wenhao Yang; Shusen Wang; Zhihua Zhang 004 (ICLR, 2020)

HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. - Shaoyi Huang; Shiyang Chen 004; Hongwu Peng; Daniel Manu; Zhenglun Kong; Geng Yuan; Lei Yang 018; Shusen Wang; Hang Liu 001; Caiwen Ding (ACM Great Lakes Symposium on VLSI, 2021)

Communication-Efficient Distributed SVD via Local Power Iterations. - Xiang Li 050; Shusen Wang; Kun Chen; Zhihua Zhang 004 (ICML, 2021)

Matrix Sketching for Secure Collaborative Machine Learning. - Mengjiao Zhang; Shusen Wang (ICML, 2021)

Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. - Hongwu Peng; Shaoyi Huang; Tong Geng; Ang Li 006; Weiwen Jiang; Hang Liu 001; Shusen Wang; Caiwen Ding (ISQED, 2021)

Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model. - Qiutong Yu; Shusen Wang; Hongjie He; Ke Yang; Lingfei Ma; Jonathan Li 001 (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Privacy-Preserving Distributed SVD via Federated Power. - Xiao Guo; Xiang Li 050; Xiangyu Chang; Shusen Wang; Zhihua Zhang 004 (CoRR, 2021)

Fast Pseudospectrum Estimation for Automotive Massive MIMO Radar. - Bin Li 002; Shusen Wang; Zhiyong Feng 001; Jun Zhang 007; Xianbin Cao 001; Chenglin Zhao (IEEE Internet Things J., 2021)

A Novel SAR Sidelobe Suppression Method Based on CNN. - Sen Yuan; Ze Yu; Chunsheng Li; Shusen Wang (IEEE Geosci. Remote. Sens. Lett., 2021)

Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs. - Detang Zhong; Shusen Wang; Junhua Li (Remote. Sens., 2021)

Fast Randomized-MUSIC for Mm-Wave Massive MIMO Radars. - Bin Li 002; Shusen Wang; Jun Zhang 007; Xianbin Cao 001; Chenglin Zhao (IEEE Trans. Veh. Technol., 2021)

Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation. - Yuan Lv; Yajing Xu; Shusen Wang; Yingjian Ma; Dengke Wang (ACCV (5), 2022)

Federated Reinforcement Learning with Environment Heterogeneity. - Hao Jin; Yang Peng; Wenhao Yang; Shusen Wang; Zhihua Zhang 004 (AISTATS, 2022)

Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction. - Bin Duan; Shusen Wang; Xingxian Liu; Yajing Xu (COLING, 2022)

Learning by Interpreting. - Xuting Tang; Abdul Rafae Khan; Shusen Wang; Jia Xu 004 (IJCAI, 2022)

Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration. - Shusen Wang; Bin Duan; Yanan Wu; Yajing Xu (NAACL-HLT (Findings), 2022)

RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. - Shusen Wang; Bosen Zhang; Yajing Xu; Yanan Wu; Bo Xiao (NAACL-HLT (Findings), 2022)

Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents. - Xuting Tang; Jia Xu 004; Shusen Wang (CoRR, 2022)

Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar. - Bin Li 002; Shusen Wang; Jun Zhang 007; Xianbin Cao 001; Chenglin Zhao (IEEE Trans. Veh. Technol., 2022)

A New Spatiotemporal Estimator to Downscale GRACE Gravity Models for Terrestrial and Groundwater Storage Variations Estimation. - Farzam Fatolazadeh; Mehdi Eshagh; Kalifa Goïta; Shusen Wang (Remote. Sens., 2022)

RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents. - Xuting Tang; Jia Xu 004; Shusen Wang (CloudNet, 2023)

RefGPT: Dialogue Generation of GPT, by GPT, and for GPT. - Dongjie Yang; Ruifeng Yuan; Yuantao Fan; Yifei Yang; Zili Wang; Shusen Wang; Hai Zhao 001 (EMNLP (Findings), 2023)

2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition. - Jiasheng Zhang; Xikai Liu; Xinyi Lai; Yan Gao 017; Shusen Wang; Yao Hu 002; Yiqing Lin (EMNLP (Findings), 2023)

Relational Representation Learning for Zero-Shot Relation Extraction with Instance Prompting and Prototype Rectification. - Bin Duan; Xingxian Liu; Shusen Wang; Yajing Xu; Bo Xiao (ICASSP, 2023)

An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. - Ziang Yan; Shusen Wang; Guorui Zhou; Jingjian Lin; Peng Jiang (CoRR, 2023)

RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs. - Dongjie Yang; Ruifeng Yuan; Yuantao Fan; Yifei Yang; Zili Wang; Shusen Wang; Hai Zhao 001 (CoRR, 2023)

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. - Zhouhong Gu; Xiaoxuan Zhu; Haoning Ye; Lin Zhang; Jianchen Wang; Sihang Jiang; Zhuozhi Xiong; Zihan Li; Qianyu He; Rui Xu 026; Wenhao Huang; Zili Wang; et al. (CoRR, 2023)

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark (LSR-Benchmark). - Zhouhong Gu; Zihan Li; Lin Zhang; Zhuozhi Xiong; Sihang Jiang; Xiaoxuan Zhu; Shusen Wang; Zili Wang; Jianchen Wang; Haoning Ye; Wenhao Huang; Yikai Zhang 004; et al. (CoRR, 2023)

Methodologies for Improving Modern Industrial Recommender Systems. - Shusen Wang (CoRR, 2023)

Editorial for the Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing". - Praveena Krishnan; Shusen Wang (Remote. Sens., 2023)

SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning. - Bosen Zhang; Yajing Xu; Jinglei Li; Shusen Wang; Boya Ren; Sheng Gao 001 (Appl. Intell., 2023)

Unsupervised concept drift detection for time series on Riemannian manifolds. - Shusen Wang; Chao Luo 001; Rui Shao (J. Frankl. Inst., 2023)

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. - Zhouhong Gu; Xiaoxuan Zhu; Haoning Ye; Lin Zhang; Jianchen Wang; Yixin Zhu; Sihang Jiang; Zhuozhi Xiong; Zihan Li; Weijie Wu; Qianyu He; Rui Xu 026; et al. (AAAI, 2024)

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? - Zhouhong Gu; Lin Zhang; Xiaoxuan Zhu; Jiangjie Chen; Wenhao Huang; Yikai Zhang 004; Shusen Wang; Zheyu Ye; Yan Gao 017; Hongwei Feng; Yanghua Xiao (EMNLP (Findings), 2024)

Fedpower: privacy-preserving distributed eigenspace estimation. - Xiao Guo; Xiang Li 050; Xiangyu Chang; Shusen Wang; Zhihua Zhang 004 (Mach. Learn., 2024)