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2020 – today
- 2024
[c45]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: 18099-18107- [c44]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? EMNLP (Findings) 2024: 199-222 - [i35]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 abs/2406.12641 (2024) - 2023
- [j27]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): 6569-6584 (2023) - [j26]Shusen Wang, Chao Luo, Rui Shao:
Unsupervised concept drift detection for time series on Riemannian manifolds. J. Frankl. Inst. 360(17): 13186-13204 (2023) - [j25]Praveena Krishnan, Shusen Wang:
Editorial for the Special Issue "Understanding Biosphere-Atmosphere Interactions with Remote Sensing". Remote. Sens. 15(2): 332 (2023) - [c43]Xuting Tang, Jia Xu, Shusen Wang:
RoMA: Resilient Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CloudNet 2023: 247-255 - [c42]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: 2511-2535 - [c41]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: 3940-3951 - [c40]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: 1-5 - [i34]Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang:
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. CoRR abs/2302.04477 (2023) - [i33]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 abs/2305.14994 (2023) - [i32]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:
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. CoRR abs/2306.05783 (2023) - [i31]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 abs/2307.05113 (2023) - [i30]Shusen Wang:
Methodologies for Improving Modern Industrial Recommender Systems. CoRR abs/2308.01204 (2023) - 2022
- [j24]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): 5991 (2022) - [j23]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): 1172-1186 (2022) - [c39]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: 297-315 - [c38]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. AISTATS 2022: 18-37 - [c37]Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu:
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction. COLING 2022: 1834-1841 - [c36]Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu:
Learning by Interpreting. IJCAI 2022: 4390-4396 - [c35]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: 2433-2438 - [c34]Shusen Wang, Bosen Zhang, Yajing Xu, Yanan Wu, Bo Xiao:
RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. NAACL-HLT (Findings) 2022: 2456-2468 - [i29]Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Federated Reinforcement Learning with Environment Heterogeneity. CoRR abs/2204.02634 (2022) - [i28]Xuting Tang, Jia Xu, Shusen Wang:
Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents. CoRR abs/2208.02424 (2022) - 2021
- [j22]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: 102404 (2021) - [j21]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): 15303-15316 (2021) - [j20]Sen Yuan, Ze Yu, Chunsheng Li, Shusen Wang:
A Novel SAR Sidelobe Suppression Method Based on CNN. IEEE Geosci. Remote. Sens. Lett. 18(1): 132-136 (2021) - [j19]Detang Zhong, Shusen Wang, Junhua Li:
Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs. Remote. Sens. 13(5): 900 (2021) - [j18]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): 1952-1956 (2021) - [c33]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: 169-174 - [c32]Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. ICML 2021: 6504-6514 - [c31]Mengjiao Zhang, Shusen Wang:
Matrix Sketching for Secure Collaborative Machine Learning. ICML 2021: 12589-12599 - [c30]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: 142-148 - [i27]Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang:
Privacy-Preserving Distributed SVD via Federated Power. CoRR abs/2103.00704 (2021) - 2020
- [c29]Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020: 4723-4730 - [c28]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: 245-254 - [c27]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. ICLR 2020 - [i26]Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
Communication-Efficient Distributed SVD via Local Power Iterations. CoRR abs/2002.08014 (2020)
2010 – 2019
- 2019
- [j17]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) - [j16]Shusen Wang, Alex Gittens, Michael W. Mahoney:
Scalable Kernel K-Means Clustering with Nystr\"om Approximation: Relative-Error Bounds. J. Mach. Learn. Res. 20: 12:1-12:49 (2019) - [j15]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. J. Mach. Learn. Res. 20: 39:1-39:40 (2019) - [j14]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): 2856 (2019) - [j13]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): 5289-5299 (2019) - [c26]Shusen Wang:
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. AAAI 2019: 5305-5312 - [i25]Xiang Li, Shusen Wang, Zhihua Zhang:
Do Subsampled Newton Methods Work for High-Dimensional Data? CoRR abs/1902.04952 (2019) - [i24]Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
On the Convergence of FedAvg on Non-IID Data. CoRR abs/1907.02189 (2019) - [i23]Shusen Wang:
Matrix Sketching for Secure Collaborative Machine Learning. CoRR abs/1909.11201 (2019) - [i22]Shusen Wang:
Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping. CoRR abs/1909.11207 (2019) - [i21]Xiang Li, Wenhao Yang, Shusen Wang, Zhihua Zhang:
Communication Efficient Decentralized Training with Multiple Local Updates. CoRR abs/1910.09126 (2019) - [i20]Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
Graph Message Passing with Cross-location Attentions for Long-term ILI Prediction. CoRR abs/1912.10202 (2019) - [i19]Haishan Ye, Shusen Wang, Zhihua Zhang, Tong Zhang:
Fast Generalized Matrix Regression with Applications in Machine Learning. CoRR abs/1912.12008 (2019) - 2018
- [j12]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: 109-121 (2018) - [j11]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): 533-545 (2018) - [j10]Junhua Li, Shusen Wang:
Using SAR-Derived Vegetation Descriptors in a Water Cloud Model to Improve Soil Moisture Retrieval. Remote. Sens. 10(9): 1370 (2018) - [j9]Ze Yu, Shusen Wang, Wei Liu, Chunsheng Li:
Joint Design of Space-Time Transmit and Receive Weights for Colocated MIMO Radar. Sensors 18(8): 2722 (2018) - [c25]Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran:
OverSketch: Approximate Matrix Multiplication for the Cloud. IEEE BigData 2018: 298-304 - [c24]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. ICML 2018: 3223-3232 - [c23]Shusen Wang, Ze Yu, Yukun Guo, Liwei Sun, Yanan Yu:
Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar. IGARSS 2018: 1300-1303 - [c22]Yukun Guo, Ze Yu, Shusen Wang, Jingwen Li:
A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering. IGARSS 2018: 5851-5854 - [c21]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: 293-301 - [c20]Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney:
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. NeurIPS 2018: 2338-2348 - [i18]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. CoRR abs/1803.08021 (2018) - [i17]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 abs/1805.11800 (2018) - [i16]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 abs/1806.01270 (2018) - [i15]Vipul Gupta, Shusen Wang, Thomas A. Courtade, Kannan Ramchandran:
OverSketch: Approximate Matrix Multiplication for the Cloud. CoRR abs/1811.02653 (2018) - 2017
- [j8]Shusen Wang, Alex Gittens, Michael W. Mahoney:
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. J. Mach. Learn. Res. 18: 218:1-218:50 (2017) - [j7]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): 256 (2017) - [c19]Shusen Wang, Alex Gittens, Michael W. Mahoney:
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. ICML 2017: 3608-3616 - [i14]Shusen Wang, Alex Gittens, Michael W. Mahoney:
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. CoRR abs/1702.04837 (2017) - [i13]Shusen Wang, Alex Gittens, Michael W. Mahoney:
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds. CoRR abs/1706.02803 (2017) - [i12]Miles E. Lopes, Shusen Wang, Michael W. Mahoney:
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication. CoRR abs/1708.01945 (2017) - [i11]Shusen Wang, Farbod Roosta-Khorasani, Peng Xu, Michael W. Mahoney:
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization. CoRR abs/1709.03528 (2017) - [i10]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 abs/1710.04329 (2017) - 2016
- [j6]Shusen Wang, Luo Luo, Zhihua Zhang:
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions. J. Mach. Learn. Res. 17: 49:1-49:49 (2016) - [j5]Shusen Wang, Zhihua Zhang, Tong Zhang:
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition. J. Mach. Learn. Res. 17: 210:1-210:49 (2016) - [j4]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): 223 (2016) - 2015
- [j3]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): 4825-4836 (2015) - [c18]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: 1813-1816 - [c17]Yangqiu Song, Shusen Wang, Haixun Wang:
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. IJCAI 2015: 3820-3826 - [i9]Shusen Wang, Zhihua Zhang, Tong Zhang:
Towards More Efficient Nystrom Approximation and CUR Matrix Decomposition. CoRR abs/1503.08395 (2015) - [i8]Shusen Wang:
A Practical Guide to Randomized Matrix Computations with MATLAB Implementations. CoRR abs/1505.07570 (2015) - [i7]Shusen Wang, Zhihua Zhang, Tong Zhang:
Improved Analyses of the Randomized Power Method and Block Lanczos Method. CoRR abs/1508.06429 (2015) - 2014
- [c16]Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang:
Exact Subspace Clustering in Linear Time. AAAI 2014: 2113-2120 - [c15]Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. AAAI 2014: 2121-2127 - [c14]Shusen Wang, Zhihua Zhang:
Efficient Algorithms and Error Analysis for the Modified Nystrom Method. AISTATS 2014: 996-1004 - [c13]Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang:
Transfer Understanding from Head Queries to Tail Queries. CIKM 2014: 1299-1308 - [c12]Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian:
Making Fisher Discriminant Analysis Scalable. ICML 2014: 964-972 - [c11]Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang:
Improving the modified nyström method using spectral shifting. KDD 2014: 611-620 - [i6]Shusen Wang:
Sharpened Error Bound for Random Sampling Based ℓ2 Regression. CoRR abs/1403.7737 (2014) - [i5]Shusen Wang, Zhihua Zhang:
Efficient Algorithms and Error Analysis for the Modified Nystrom Method. CoRR abs/1404.0138 (2014) - [i4]Shusen Wang, Luo Luo, Zhihua Zhang:
The Modified Nystrom Method: Theories, Algorithms, and Extension. CoRR abs/1406.5675 (2014) - [i3]Shusen Wang, Tong Zhang, Zhihua Zhang:
Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion. CoRR abs/1412.7938 (2014) - 2013
- [j2]Shusen Wang, Zhihua Zhang:
Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling. J. Mach. Learn. Res. 14(1): 2729-2769 (2013) - [c10]Shusen Wang, Dehua Liu, Zhihua Zhang:
Nonconvex Relaxation Approaches to Robust Matrix Recovery. IJCAI 2013: 1764-1770 - [i2]Shusen Wang:
On The Lower Bounds of The Nyström Method. CoRR abs/1303.4207 (2013) - 2012
- [j1]Zhihua Zhang, Shusen Wang, Dehua Liu, Michael I. Jordan:
EP-GIG Priors and Applications in Bayesian Sparse Learning. J. Mach. Learn. Res. 13: 2031-2061 (2012) - [c9]Shusen Wang, Zhihua Zhang:
Colorization by Matrix Completion. AAAI 2012: 1169-1175 - [c8]Shusen Wang, Zhihua Zhang:
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. NIPS 2012: 656-664 - [i1]Shusen Wang, Zhihua Zhang, Jian Li:
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound. CoRR abs/1210.1461 (2012) - 2011
- [c7]Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen:
Efficient Subspace Segmentation via Quadratic Programming. AAAI 2011: 519-524
2000 – 2009
- 2008
- [c6]Tao Chen, Qing Gu, Shusen Wang, Xiaoan Chen, Daoxu Chen:
Module-based large-scale software evolution based on complex networks. CIT 2008: 798-803 - [c5]Wenjun Liu, Baoxin Hu, Shusen Wang:
Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing. IGARSS (2) 2008: 801-804 - 2006
- [c4]Ian Olthof, Darren Pouliot, Robert H. Fraser, Andrea Clouston, Shusen Wang, Wenjun Chen, Jonathan Orazietti, Jean Poitevin, Donald McLennan, J. Kerr, Michael C. Sawada:
Using Satellite Remote Sensing to Assess and Monitor Ecosystem Integrity and Climate Change in Canadas National Parks. IGARSS 2006: 686-689 - 2004
- [c3]Anita Simic, Richard Fernandes, Shusen Wang:
Sensitivity assessment of simulated evapotranspiration and groundwater recharge across a shallow water region for diverse land cover and soil properties. IGARSS 2004: 4881-4884 - 2002
- [c2]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:
Improving temporal and spatial consistency of forest biomass data by integrating forest yield tables and satellite radar data. IGARSS 2002: 1777-1779 - [c1]Shusen Wang, Sylvain G. Leblanc, Richard A. Fernandes, Josef Cihlar:
Diurnal variation of direct and diffuse radiation and its impact on surface albedo. IGARSS 2002: 3224-3226
Coauthor Index
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