Shusen Wang

According to our database, Shusen Wang authored at least 93 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised concept drift detection for time series on Riemannian manifolds.

Shusen Wang, Chao Luo, Rui Shao

J. Frankl. Inst., November, 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

Appl. Intell., March, 2023

Editorial for the Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing".

Praveena Krishnan, Shusen Wang

Remote. Sens., January, 2023

Methodologies for Improving Modern Industrial Recommender Systems.

Shusen Wang

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, Hongwei Feng, Yanghua Xiao

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, Wenhao Huang, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao

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

CoRR, 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

Relational Representation Learning for Zero-Shot Relation Extraction with Instance Prompting and Prototype Rectification.

Bin Duan, Xingxian Liu, Shusen Wang, Yajing Xu, Bo Xiao

Proceedings of the IEEE International Conference on Acoustics, 2023

2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition.

Jiasheng Zhang, Xikai Liu, Xinyi Lai, Yan Gao, Shusen Wang, Yao Hu, Yiqing Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents.

Xuting Tang, Jia Xu, Shusen Wang

Proceedings of the 12th IEEE International Conference on Cloud Networking, 2023

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., December, 2022

Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar.

Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao

IEEE Trans. Veh. Technol., 2022

Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents.

Xuting Tang, Jia Xu, Shusen Wang

CoRR, 2022

RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction.

Shusen Wang, Bosen Zhang, Yajing Xu, Yanan Wu, Bo Xiao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration.

Shusen Wang, Bin Duan, Yanan Wu, Yajing Xu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Learning by Interpreting.

Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction.

Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Federated Reinforcement Learning with Environment Heterogeneity.

Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation.

Yuan Lv, Yajing Xu, Shusen Wang, Yingjian Ma, Dengke Wang

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Fast Randomized-MUSIC for Mm-Wave Massive MIMO Radars.

Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao

IEEE Trans. Veh. Technol., 2021

Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs.

Detang Zhong, Shusen Wang, Junhua Li

Remote. Sens., 2021

A Novel SAR Sidelobe Suppression Method Based on CNN.

Sen Yuan, Ze Yu, Chunsheng Li, Shusen Wang

IEEE Geosci. Remote. Sens. Lett., 2021

Fast Pseudospectrum Estimation for Automotive Massive MIMO Radar.

Bin Li, Shusen Wang, Zhiyong Feng, Jun Zhang, Xianbin Cao, Chenglin Zhao

IEEE Internet Things J., 2021

Privacy-Preserving Distributed SVD via Federated Power.

Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang

CoRR, 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

Int. J. Appl. Earth Obs. Geoinformation, 2021

Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning.

Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding

Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Matrix Sketching for Secure Collaborative Machine Learning.

Mengjiao Zhang, Shusen Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Communication-Efficient Distributed SVD via Local Power Iterations.

Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU.

Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020

On the Convergence of FedAvg on Non-IID Data.

Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang

Proceedings of the 8th International Conference on Learning Representations, 2020

Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction.

Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Do Subsampled Newton Methods Work for High-Dimensional Data?

Xiang Li, Shusen Wang, Zhihua Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Imaging Algorithm for Spaceborne High-Squint L-Band SAR Based on Time-Domain Rotation.

Liwei Sun, Ze Yu, Chunsheng Li, Wei Liu, Shusen Wang, Jiwen Geng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Effects of Distinguishing Vegetation Types on the Estimates of Remotely Sensed Evapotranspiration in Arid Regions.

Tao Du, Li Wang, Guofu Yuan, Xiaomin Sun, Shusen Wang

Remote. Sens., 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

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication.

Miles E. Lopes, Shusen Wang, Michael W. Mahoney

J. Mach. Learn. Res., 2019

Fast Generalized Matrix Regression with Applications in Machine Learning.

Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang

CoRR, 2019

Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction.

Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning

CoRR, 2019

Communication Efficient Decentralized Training with Multiple Local Updates.

Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang

CoRR, 2019

Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping.

Shusen Wang

CoRR, 2019

Matrix Sketching for Secure Collaborative Machine Learning.

Shusen Wang

CoRR, 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

A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression.

Shusen Wang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Joint Design of Space-Time Transmit and Receive Weights for Colocated MIMO Radar.

Ze Yu, Shusen Wang, Wei Liu, Chunsheng Li

Sensors, 2018

Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval.

Junhua Li, Shusen Wang

Remote. Sens., 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

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

GIANT: Globally Improved Approximate Newton Method for Distributed Optimization.

Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 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

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar.

Shusen Wang, Ze Yu, Yukun Guo, Liwei Sun, Yanan Yu

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering.

Yukun Guo, Ze Yu, Shusen Wang, Jingwen Li

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap.

Miles E. Lopes, Shusen Wang, Michael W. Mahoney

Proceedings of the 35th International Conference on Machine Learning, 2018

OverSketch: Approximate Matrix Multiplication for the Cloud.

Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging.

Shusen Wang, Alex Gittens, Michael W. Mahoney

J. Mach. Learn. Res., 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

Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds.

Shusen Wang, Alex Gittens, Michael W. Mahoney

CoRR, 2017

2016

An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model.

Ze Yu, Shusen Wang, Zhou Li

Remote. Sens., 2016

Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition.

Shusen Wang, Zhihua Zhang, Tong Zhang

J. Mach. Learn. Res., 2016

SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions.

Shusen Wang, Luo Luo, Zhihua Zhang

J. Mach. Learn. Res., 2016

2015

An Imaging Compensation Algorithm for Correcting the Impact of Tropospheric Delay on Spaceborne High-Resolution SAR.

Ze Yu, Zhou Li, Shusen Wang

IEEE Trans. Geosci. Remote. Sens., 2015

Improved Analyses of the Randomized Power Method and Block Lanczos Method.

Shusen Wang, Zhihua Zhang, Tong Zhang

CoRR, 2015

Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition.

Shusen Wang, Zhihua Zhang, Tong Zhang

CoRR, 2015

A Practical Guide to Randomized Matrix Computations with MATLAB Implementations.

Shusen Wang

CoRR, 2015

Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach.

Yangqiu Song, Shusen Wang, Haixun Wang

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A new simulation method based on continuous tangent motion model for spaceborne high-resolution SAR.

Shusen Wang, Ze Yu, Lvqian Zhang, Na Pu

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion.

Shusen Wang, Tong Zhang, Zhihua Zhang

CoRR, 2014

The Modified Nystrom Method: Theories, Algorithms, and Extension.

Shusen Wang, Luo Luo, Zhihua Zhang

CoRR, 2014

Sharpened Error Bound for Random Sampling Based ℓ₂ Regression.

Shusen Wang

CoRR, 2014

Improving the modified nyström method using spectral shifting.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Making Fisher Discriminant Analysis Scalable.

Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian

Proceedings of the 31th International Conference on Machine Learning, 2014

Transfer Understanding from Head Queries to Tail Queries.

Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Algorithms and Error Analysis for the Modified Nystrom Method.

Shusen Wang, Zhihua Zhang

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms.

Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Exact Subspace Clustering in Linear Time.

Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling.

Shusen Wang, Zhihua Zhang

J. Mach. Learn. Res., 2013

On The Lower Bounds of The Nyström Method

Shusen Wang

CoRR, 2013

Nonconvex Relaxation Approaches to Robust Matrix Recovery.

Shusen Wang, Dehua Liu, Zhihua Zhang

Proceedings of the IJCAI 2013, 2013

2012

EP-GIG Priors and Applications in Bayesian Sparse Learning.

Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan

J. Mach. Learn. Res., 2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound

Shusen Wang, Zhihua Zhang, Jian Li

CoRR, 2012

A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound.

Shusen Wang, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Colorization by Matrix Completion.

Shusen Wang, Zhihua Zhang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Efficient Subspace Segmentation via Quadratic Programming.

Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2008

Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing.

Wenjun Liu, Baoxin Hu, Shusen Wang

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Module-based large-scale software evolution based on complex networks.

Tao Chen, Qing Gu, Shusen Wang, Xiaoan Chen, Daoxu Chen

Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2006

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

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

2004

Sensitivity assessment of simulated evapotranspiration and groundwater recharge across a shallow water region for diverse land cover and soil properties.

Anita Simic, Richard Fernandes, Shusen Wang

Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, 2004

2002

Diurnal variation of direct and diffuse radiation and its impact on surface albedo.

Shusen Wang, Sylvain G. Leblanc, Richard A. Fernandes, Josef Cihlar

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002

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, Shusen Wang, Jeremy T. Kerr, Chhun-Huor Ung, D. T. Price, Mahta Moghaddam, Kenneth R. McDonald

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2002