Shusen Wang - RankMe

110 papers A* 20A 4B 1C 8Misc 1Journal 64Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Real-Time Trend Prediction via Continually-Aligned LLM Query Generation. WWW Zijing Hui, Wenhan Lyu, Shusen Wang, Li Chen, Chu Wang
2026	J	`jnl`	Real-Time Trend Prediction via Continually-Aligned LLM Query Generation. CoRR Zijing Hui, Wenhan Lyu, Shusen Wang, Li Chen, Chu Wang
2024	—	`conf`	DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP (Findings) Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao
2024	J	`jnl`	DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? CoRR Zhouhong Gu, Lin Zhang, Xiaoxuan Zhu, Jiangjie Chen, Wenhao Huang, Yikai Zhang, Shusen Wang, Zheyu Ye, Yan Gao, Hongwei Feng, Yanghua Xiao
2024	J	`jnl`	Fedpower: privacy-preserving distributed eigenspace estimation. Mach. Learn. Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
2024	A*	`conf`	Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. AAAI 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
2023	—	`conf`	2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition. EMNLP (Findings) Jiasheng Zhang, Xikai Liu, Xinyi Lai, Yan Gao, Shusen Wang, Yao Hu, Yiqing Lin
2023	J	`jnl`	An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. CoRR Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang
2023	J	`jnl`	Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark). CoRR 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
2023	J	`jnl`	Editorial for the Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing". Remote. Sens. Praveena Krishnan, Shusen Wang
2023	J	`jnl`	Methodologies for Improving Modern Industrial Recommender Systems. CoRR Shusen Wang
2023	—	`conf`	RefGPT: Dialogue Generation of GPT, by GPT, and for GPT. EMNLP (Findings) Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao
2023	J	`jnl`	RefGPT: Reference -> Truthful & Customized Dialogues Generation by GPTs and for GPTs. CoRR Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao
2023	Misc	`conf`	Relational Representation Learning for Zero-Shot Relation Extraction with Instance Prompting and Prototype Rectification. ICASSP Bin Duan, Xingxian Liu, Shusen Wang, Yajing Xu, Bo Xiao
2023	—	`conf`	RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CloudNet Xuting Tang, Jia Xu, Shusen Wang
2023	J	`jnl`	SMDM: Tackling zero-shot relation extraction with semantic max-divergence metric learning. Appl. Intell. Bosen Zhang, Yajing Xu, Jinglei Li, Shusen Wang, Boya Ren, Sheng Gao
2023	J	`jnl`	Unsupervised concept drift detection for time series on Riemannian manifolds. J. Frankl. Inst. Shusen Wang, Chao Luo, Rui Shao
2023	J	`jnl`	Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. CoRR 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
2022	J	`jnl`	A New Spatiotemporal Estimator to Downscale GRACE Gravity Models for Terrestrial and Groundwater Storage Variations Estimation. Remote. Sens. Farzam Fatolazadeh, Mehdi Eshagh, Kalifa Goïta, Shusen Wang
2022	B	`conf`	Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction. COLING Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu
2022	—	`conf`	Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation. ACCV (5) Yuan Lv, Yajing Xu, Shusen Wang, Yingjian Ma, Dengke Wang
2022	A	`conf`	Federated Reinforcement Learning with Environment Heterogeneity. AISTATS Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang
2022	J	`jnl`	Federated Reinforcement Learning with Environment Heterogeneity. CoRR Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang
2022	—	`conf`	Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration. NAACL-HLT (Findings) Shusen Wang, Bin Duan, Yanan Wu, Yajing Xu
2022	A*	`conf`	Learning by Interpreting. IJCAI Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu
2022	—	`conf`	RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. NAACL-HLT (Findings) Shusen Wang, Bosen Zhang, Yajing Xu, Yanan Wu, Bo Xiao
2022	J	`jnl`	Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CoRR Xuting Tang, Jia Xu, Shusen Wang
2022	J	`jnl`	Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar. IEEE Trans. Veh. Technol. Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao
2021	J	`jnl`	A Novel SAR Sidelobe Suppression Method Based on CNN. IEEE Geosci. Remote. Sens. Lett. Sen Yuan, Ze Yu, Chunsheng Li, Shusen Wang
2021	—	`conf`	Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding
2021	A*	`conf`	Communication-Efficient Distributed SVD via Local Power Iterations. ICML Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang
2021	J	`jnl`	Fast Pseudospectrum Estimation for Automotive Massive MIMO Radar. IEEE Internet Things J. Bin Li, Shusen Wang, Zhiyong Feng, Jun Zhang, Xianbin Cao, Chenglin Zhao
2021	J	`jnl`	Fast Randomized-MUSIC for Mm-Wave Massive MIMO Radars. IEEE Trans. Veh. Technol. Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao
2021	—	`conf`	HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding
2021	A*	`conf`	Matrix Sketching for Secure Collaborative Machine Learning. ICML Mengjiao Zhang, Shusen Wang
2021	J	`jnl`	Privacy-Preserving Distributed SVD via Federated Power. CoRR Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang
2021	J	`jnl`	Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model. Int. J. Appl. Earth Obs. Geoinformation Qiutong Yu, Shusen Wang, Hongjie He, Ke Yang, Lingfei Ma, Jonathan Li
2021	J	`jnl`	Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs. Remote. Sens. Detang Zhong, Shusen Wang, Junhua Li
2020	A	`conf`	Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2020	J	`jnl`	Communication-Efficient Distributed SVD via Local Power Iterations. CoRR Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang
2020	A*	`conf`	Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI Xiang Li, Shusen Wang, Zhihua Zhang
2020	A*	`conf`	On the Convergence of FedAvg on Non-IID Data. ICLR Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
2019	J	`jnl`	A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. J. Mach. Learn. Res. Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2019	A*	`conf`	A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. AAAI Shusen Wang
2019	J	`jnl`	Alchemist: An Apache Spark ⇔ MPI interface. Concurr. Comput. Pract. Exp. Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2019	J	`jnl`	An Imaging Algorithm for Spaceborne High-Squint L-Band SAR Based on Time-Domain Rotation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Liwei Sun, Ze Yu, Chunsheng Li, Wei Liu, Shusen Wang, Jiwen Geng
2019	J	`jnl`	Communication Efficient Decentralized Training with Multiple Local Updates. CoRR Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang
2019	J	`jnl`	Do Subsampled Newton Methods Work for High-Dimensional Data? CoRR Xiang Li, Shusen Wang, Zhihua Zhang
2019	J	`jnl`	Effects of Distinguishing Vegetation Types on the Estimates of Remotely Sensed Evapotranspiration in Arid Regions. Remote. Sens. Tao Du, Li Wang, Guofu Yuan, Xiaomin Sun, Shusen Wang
2019	J	`jnl`	Fast Generalized Matrix Regression with Applications in Machine Learning. CoRR Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang
2019	J	`jnl`	Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning
2019	J	`jnl`	Matrix Sketching for Secure Collaborative Machine Learning. CoRR Shusen Wang
2019	J	`jnl`	On the Convergence of FedAvg on Non-IID Data. CoRR Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang
2019	J	`jnl`	Scalable Kernel K-Means Clustering with Nystr\"om Approximation: Relative-Error Bounds. J. Mach. Learn. Res. Shusen Wang, Alex Gittens, Michael W. Mahoney
2019	J	`jnl`	Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. CoRR Shusen Wang
2018	C	`conf`	A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering. IGARSS Yukun Guo, Ze Yu, Shusen Wang, Jingwen Li
2018	J	`jnl`	A model for downscaling SMOS soil moisture using Sentinel-1 SAR data. Int. J. Appl. Earth Obs. Geoinformation Junhua Li, Shusen Wang, Grant Gunn, Pamela Joosse, Hazen A. J. Russell
2018	J	`jnl`	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 Junhua Li, Shusen Wang
2018	A*	`conf`	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. KDD Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018	J	`jnl`	Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist. CoRR Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael F. Ringenburg, Kristyn J. Maschhoff
2018	J	`jnl`	Alchemist: An Apache Spark MPI Interface. CoRR Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Jey Kottalam, Lisa Gerhardt, Prabhat, Michael F. Ringenburg, Kristyn J. Maschhoff
2018	C	`conf`	Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar. IGARSS Shusen Wang, Ze Yu, Yukun Guo, Liwei Sun, Yanan Yu
2018	A*	`conf`	Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. ICML Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2018	J	`jnl`	Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. CoRR Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2018	A*	`conf`	GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. NeurIPS Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney
2018	J	`jnl`	Joint Design of Space-Time Transmit and Receive Weights for Colocated MIMO Radar. Sensors Ze Yu, Shusen Wang, Wei Liu, Chunsheng Li
2018	—	`conf`	OverSketch: Approximate Matrix Multiplication for the Cloud. IEEE BigData Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran
2018	J	`jnl`	OverSketch: Approximate Matrix Multiplication for the Cloud. CoRR Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran
2018	J	`jnl`	Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval. Remote. Sens. Junhua Li, Shusen Wang
2017	J	`jnl`	A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. CoRR Miles E. Lopes, Shusen Wang, Michael W. Mahoney
2017	J	`jnl`	Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm. CoRR Youzuo Lin, Shusen Wang, Jayaraman J. Thiagarajan, George Guthrie, David Coblentz
2017	J	`jnl`	Estimating Snow Mass and Peak River Flows for the Mackenzie River Basin Using GRACE Satellite Observations. Remote. Sens. Shusen Wang, Fuqun Zhou, Hazen A. J. Russell
2017	J	`jnl`	GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. CoRR Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney
2017	J	`jnl`	Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. CoRR Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	A*	`conf`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. ICML Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	J	`jnl`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. CoRR Shusen Wang, Alex Gittens, Michael W. Mahoney
2017	J	`jnl`	Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. J. Mach. Learn. Res. Shusen Wang, Alex Gittens, Michael W. Mahoney
2016	J	`jnl`	An Imaging Compensation Algorithm for Spaceborne High-Resolution SAR Based on a Continuous Tangent Motion Model. Remote. Sens. Ze Yu, Shusen Wang, Zhou Li
2016	J	`jnl`	SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions. J. Mach. Learn. Res. Shusen Wang, Luo Luo, Zhihua Zhang
2016	J	`jnl`	Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition. J. Mach. Learn. Res. Shusen Wang, Zhihua Zhang, Tong Zhang
2015	J	`jnl`	A Practical Guide to Randomized Matrix Computations with MATLAB Implementations. CoRR Shusen Wang
2015	C	`conf`	A new simulation method based on continuous tangent motion model for spaceborne high-resolution SAR. IGARSS Shusen Wang, Ze Yu, Lvqian Zhang, Na Pu
2015	J	`jnl`	An Imaging Compensation Algorithm for Correcting the Impact of Tropospheric Delay on Spaceborne High-Resolution SAR. IEEE Trans. Geosci. Remote. Sens. Ze Yu, Zhou Li, Shusen Wang
2015	J	`jnl`	Improved Analyses of the Randomized Power Method and Block Lanczos Method. CoRR Shusen Wang, Zhihua Zhang, Tong Zhang
2015	A*	`conf`	Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. IJCAI Yangqiu Song, Shusen Wang, Haixun Wang
2015	J	`jnl`	Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition. CoRR Shusen Wang, Zhihua Zhang, Tong Zhang
2014	J	`jnl`	Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion. CoRR Shusen Wang, Tong Zhang, Zhihua Zhang
2014	A	`conf`	Efficient Algorithms and Error Analysis for the Modified Nystrom Method. AISTATS Shusen Wang, Zhihua Zhang
2014	J	`jnl`	Efficient Algorithms and Error Analysis for the Modified Nystrom Method. CoRR Shusen Wang, Zhihua Zhang
2014	A*	`conf`	Exact Subspace Clustering in Linear Time. AAAI Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang
2014	A*	`conf`	Improving the modified nyström method using spectral shifting. KDD Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
2014	A*	`conf`	Making Fisher Discriminant Analysis Scalable. ICML Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian
2014	J	`jnl`	Sharpened Error Bound for Random Sampling Based ℓ CoRR Shusen Wang
2014	J	`jnl`	The Modified Nystrom Method: Theories, Algorithms, and Extension. CoRR Shusen Wang, Luo Luo, Zhihua Zhang
2014	A	`conf`	Transfer Understanding from Head Queries to Tail Queries. CIKM Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang
2014	A*	`conf`	Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang
2013	J	`jnl`	Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling. J. Mach. Learn. Res. Shusen Wang, Zhihua Zhang
2013	A*	`conf`	Nonconvex Relaxation Approaches to Robust Matrix Recovery. IJCAI Shusen Wang, Dehua Liu, Zhihua Zhang
2013	J	`jnl`	On The Lower Bounds of The Nyström Method CoRR Shusen Wang
2012	J	`jnl`	A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound CoRR Shusen Wang, Zhihua Zhang, Jian Li
2012	—	`conf`	A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. NIPS Shusen Wang, Zhihua Zhang
2012	A*	`conf`	Colorization by Matrix Completion. AAAI Shusen Wang, Zhihua Zhang
2012	J	`jnl`	EP-GIG Priors and Applications in Bayesian Sparse Learning. J. Mach. Learn. Res. Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan
2011	A*	`conf`	Efficient Subspace Segmentation via Quadratic Programming. AAAI Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen
2008	—	`conf`	Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing. IGARSS (2) Wenjun Liu, Baoxin Hu, Shusen Wang
2008	C	`conf`	Module-based large-scale software evolution based on complex networks. CIT Tao Chen, Qing Gu, Shusen Wang, Xiaoan Chen, Daoxu Chen
2006	C	`conf`	Using Satellite Remote Sensing to Assess and Monitor Ecosystem Integrity and Climate Change in Canadas National Parks. IGARSS Ian Olthof, Darren Pouliot, Robert H. Fraser, Andrea Clouston, Shusen Wang, Wenjun Chen, Jonathan Orazietti, Jean Poitevin, Donald McLennan, J. Kerr, Michael C. Sawada
2004	C	`conf`	Sensitivity assessment of simulated evapotranspiration and groundwater recharge across a shallow water region for diverse land cover and soil properties. IGARSS Anita Simic, Richard Fernandes, Shusen Wang
2002	C	`conf`	Diurnal variation of direct and diffuse radiation and its impact on surface albedo. IGARSS Shusen Wang, Sylvain G. Leblanc, Richard A. Fernandes, Josef Cihlar
2002	C	`conf`	Improving temporal and spatial consistency of forest biomass data by integrating forest yield tables and satellite radar data. IGARSS 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