Shusen Wang

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 75

Top Venues

Publications

Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao
DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? CoRR (2024)
Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. AAAI (2024)
Zhouhong Gu, Zihan Li, Lin Zhang, Zhuozhi Xiong, Sihang Jiang, Xiaoxuan Zhu, Shusen Wang, Zili Wang, Jianchen Wang, Haoning Ye, Wenhao Huang, Yikai Zhang, Hongwei Feng, Yanghua Xiao
Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark). CoRR (2023)
Bosen Zhang, Yajing Xu, Jinglei Li, Shusen Wang, Boya Ren, Sheng Gao
SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning. Appl. Intell. 53 (6) (2023)
Jiasheng Zhang, Xikai Liu, Xinyi Lai, Yan Gao, Shusen Wang, Yao Hu, Yiqing Lin
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition. EMNLP (Findings) (2023)
Shusen Wang
Methodologies for Improving Modern Industrial Recommender Systems. CoRR (2023)
Shusen Wang, Chao Luo, Rui Shao
Unsupervised concept drift detection for time series on Riemannian manifolds. J. Frankl. Inst. 360 (17) (2023)
Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. CoRR (2023)
Bin Duan, Xingxian Liu, Shusen Wang, Yajing Xu, Bo Xiao
Relational Representation Learning for Zero-Shot Relation Extraction with Instance Prompting and Prototype Rectification. ICASSP (2023)
Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao
RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs. CoRR (2023)
Xuting Tang, Jia Xu, Shusen Wang
RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CloudNet (2023)
Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT. EMNLP (Findings) (2023)
Praveena Krishnan, Shusen Wang
Editorial for the Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing". Remote. Sens. 15 (2) (2023)
Shusen Wang, Bosen Zhang, Yajing Xu, Yanan Wu, Bo Xiao
RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. NAACL-HLT (Findings) (2022)
Xuting Tang, Jia Xu, Shusen Wang
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CoRR (2022)
Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang
Federated Reinforcement Learning with Environment Heterogeneity. AISTATS (2022)
Shusen Wang, Bin Duan, Yanan Wu, Yajing Xu
Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration. NAACL-HLT (Findings) (2022)
Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao
Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar. IEEE Trans. Veh. Technol. 71 (2) (2022)
Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu
Learning by Interpreting. IJCAI (2022)
Yuan Lv, Yajing Xu, Shusen Wang, Yingjian Ma, Dengke Wang
Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation. ACCV (5) (2022)
Farzam Fatolazadeh, Mehdi Eshagh, Kalifa Goïta, Shusen Wang
A New Spatiotemporal Estimator to Downscale GRACE Gravity Models for Terrestrial and Groundwater Storage Variations Estimation. Remote. Sens. 14 (23) (2022)
Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction. COLING (2022)
Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang
Federated Reinforcement Learning with Environment Heterogeneity. CoRR (2022)
Mengjiao Zhang, Shusen Wang
Matrix Sketching for Secure Collaborative Machine Learning. ICML (2021)
Bin Li, Shusen Wang, Zhiyong Feng, Jun Zhang, Xianbin Cao, Chenglin Zhao
Fast Pseudospectrum Estimation for Automotive Massive MIMO Radar. IEEE Internet Things J. 8 (20) (2021)
Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang
Communication-Efficient Distributed SVD via Local Power Iterations. ICML (2021)
Qiutong Yu, Shusen Wang, Hongjie He, Ke Yang, Lingfei Ma, Jonathan Li
Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model. Int. J. Appl. Earth Obs. Geoinformation 102 (2021)
Detang Zhong, Shusen Wang, Junhua Li
Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs. Remote. Sens. 13 (5) (2021)
Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
Privacy-Preserving Distributed SVD via Federated Power. CoRR (2021)
Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding
HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI (2021)
Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED (2021)
Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao
Fast Randomized-MUSIC for Mm-Wave Massive MIMO Radars. IEEE Trans. Veh. Technol. 70 (2) (2021)
Sen Yuan, Ze Yu, Chunsheng Li, Shusen Wang
A Novel SAR Sidelobe Suppression Method Based on CNN. IEEE Geosci. Remote. Sens. Lett. 18 (1) (2021)
Xiang Li, Shusen Wang, Zhihua Zhang
Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI (2020)
Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
On the Convergence of FedAvg on Non-IID Data. ICLR (2020)
Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang
Communication-Efficient Distributed SVD via Local Power Iterations. CoRR (2020)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM (2020)
Xiang Li, Shusen Wang, Zhihua Zhang
Do Subsampled Newton Methods Work for High-Dimensional Data? CoRR (2019)
Shusen Wang
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. AAAI (2019)
Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang
Communication Efficient Decentralized Training with Multiple Local Updates. CoRR (2019)
Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
On the Convergence of FedAvg on Non-IID Data. CoRR (2019)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
Alchemist: An Apache Spark ⇔ MPI interface. Concurr. Comput. Pract. Exp. 31 (16) (2019)
Shusen Wang
Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. CoRR (2019)
Liwei Sun, Ze Yu, Chunsheng Li, Wei Liu, Shusen Wang, Jiwen Geng
An Imaging Algorithm for Spaceborne High-Squint L-Band SAR Based on Time-Domain Rotation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12 (12) (2019)
Shusen Wang
Matrix Sketching for Secure Collaborative Machine Learning. CoRR (2019)
Tao Du, Li Wang, Guofu Yuan, Xiaomin Sun, Shusen Wang
Effects of Distinguishing Vegetation Types on the Estimates of Remotely Sensed Evapotranspiration in Arid Regions. Remote. Sens. 11 (23) (2019)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. J. Mach. Learn. Res. 20 (2019)
Shusen Wang, Alex Gittens, Michael W. Mahoney
Scalable Kernel K-Means Clustering with Nystr\"om Approximation: Relative-Error Bounds. J. Mach. Learn. Res. 20 (2019)
Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang
Fast Generalized Matrix Regression with Applications in Machine Learning. CoRR (2019)
Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR (2019)
Yukun Guo, Ze Yu, Shusen Wang, Jingwen Li
A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering. IGARSS (2018)
Junhua Li, Shusen Wang
A new method for generating a clear-sky Landsat composite for cropland from cloud-contaminated Landsat-7 and Landsat-8 images. Int. J. Digit. Earth 11 (5) (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. KDD (2018)
Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran
OverSketch: Approximate Matrix Multiplication for the Cloud. CoRR (2018)
Junhua Li, Shusen Wang
Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval. Remote. Sens. 10 (9) (2018)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. CoRR (2018)
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. NeurIPS (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. CoRR (2018)
Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran
OverSketch: Approximate Matrix Multiplication for the Cloud. IEEE BigData (2018)
Shusen Wang, Ze Yu, Yukun Guo, Liwei Sun, Yanan Yu
Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar. IGARSS (2018)
Junhua Li, Shusen Wang, Grant Gunn, Pamela Joosse, Hazen A. J. Russell
A model for downscaling SMOS soil moisture using Sentinel-1 SAR data. Int. J. Appl. Earth Obs. Geoinformation 72 (2018)
Ze Yu, Shusen Wang, Wei Liu, Chunsheng Li
Joint Design of Space-Time Transmit and Receive Weights for Colocated MIMO Radar. Sensors 18 (8) (2018)
Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
Alchemist: An Apache Spark MPI Interface. CoRR (2018)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. ICML (2018)
Shusen Wang, Alex Gittens, Michael W. Mahoney
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. CoRR (2017)
Shusen Wang, Alex Gittens, Michael W. Mahoney
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. J. Mach. Learn. Res. 18 (2017)
Shusen Wang, Fuqun Zhou, Hazen A. J. Russell
Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations. Remote. Sens. 9 (3) (2017)
Youzuo Lin, Shusen Wang, Jayaraman J. Thiagarajan, George Guthrie, David Coblentz
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm. CoRR (2017)
Shusen Wang, Alex Gittens, Michael W. Mahoney
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. CoRR (2017)
Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. CoRR (2017)
Shusen Wang, Alex Gittens, Michael W. Mahoney
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. ICML (2017)
Miles E. Lopes, Shusen Wang, Michael W. Mahoney
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. CoRR (2017)
Ze Yu, Shusen Wang, Zhou Li
An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model. Remote. Sens. 8 (3) (2016)
Shusen Wang, Zhihua Zhang, Tong Zhang
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition. J. Mach. Learn. Res. 17 (2016)
Shusen Wang, Luo Luo, Zhihua Zhang
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions. J. Mach. Learn. Res. 17 (2016)
Ze Yu, Zhou Li, Shusen Wang
An Imaging Compensation Algorithm for Correcting the Impact of Tropospheric Delay on Spaceborne High-Resolution SAR. IEEE Trans. Geosci. Remote. Sens. 53 (9) (2015)
Shusen Wang
A Practical Guide to Randomized Matrix Computations with MATLAB Implementations. CoRR (2015)
Yangqiu Song, Shusen Wang, Haixun Wang
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. IJCAI (2015)
Shusen Wang, Ze Yu, Lvqian Zhang, Na Pu
A new simulation method based on continuous tangent motion model for spaceborne high-resolution SAR. IGARSS (2015)
Shusen Wang, Zhihua Zhang, Tong Zhang
Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition. CoRR (2015)
Shusen Wang, Zhihua Zhang, Tong Zhang
Improved Analyses of the Randomized Power Method and Block Lanczos Method. CoRR (2015)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI (2014)
Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
Improving the modified nyström method using spectral shifting. KDD (2014)
Shusen Wang, Tong Zhang, Zhihua Zhang
Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion. CoRR (2014)
Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang
Exact Subspace Clustering in Linear Time. AAAI (2014)
Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian
Making Fisher Discriminant Analysis Scalable. ICML (2014)
Shusen Wang, Zhihua Zhang
Efficient Algorithms and Error Analysis for the Modified Nystrom Method. AISTATS (2014)
Shusen Wang
Regression. CoRR (2014)
Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang
Transfer Understanding from Head Queries to Tail Queries. CIKM (2014)
Shusen Wang, Zhihua Zhang
Efficient Algorithms and Error Analysis for the Modified Nystrom Method. CoRR (2014)
Shusen Wang, Luo Luo, Zhihua Zhang
The Modified Nystrom Method: Theories, Algorithms, and Extension. CoRR (2014)
Shusen Wang
On The Lower Bounds of The Nyström Method CoRR (2013)
Shusen Wang, Zhihua Zhang
Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling. J. Mach. Learn. Res. 14 (1) (2013)
Shusen Wang, Dehua Liu, Zhihua Zhang
Nonconvex Relaxation Approaches to Robust Matrix Recovery. IJCAI (2013)
Shusen Wang, Zhihua Zhang
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. NIPS (2012)
Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan
EP-GIG Priors and Applications in Bayesian Sparse Learning. J. Mach. Learn. Res. 13 (2012)
Shusen Wang, Zhihua Zhang
Colorization by Matrix Completion. AAAI (2012)
Shusen Wang, Zhihua Zhang, Jian Li
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound CoRR (2012)
Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen
Efficient Subspace Segmentation via Quadratic Programming. AAAI (2011)
Tao Chen, Qing Gu, Shusen Wang, Xiaoan Chen, Daoxu Chen
Module-based large-scale software evolution based on complex networks. CIT (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shusen Wang