| 2026 | WWW | Real-Time Trend Prediction via Continually-Aligned LLM Query Generation. | Zijing Hui, Wenhan Lyu, Shusen Wang, Li Chen, Chu Wang |
| 2024 | AAAI | 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 |
| 2024 | EMNLP | 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 |
| 2023 | EMNLP | RefGPT: Dialogue Generation of GPT, by GPT, and for GPT. | Dongjie Yang, Ruifeng Yuan, Yuantao Fan, Yifei Yang, Zili Wang, Shusen Wang, Hai Zhao |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | Relational Representation Learning for Zero-Shot Relation Extraction with Instance Prompting and Prototype Rectification. | Bin Duan, Xingxian Liu, Shusen Wang, Yajing Xu, Bo Xiao |
| 2022 | ACCV | Continuous Self-study: Scene Graph Generation with Self-knowledge Distillation and Spatial Augmentation. | Yuan Lv, Yajing Xu, Shusen Wang, Yingjian Ma, Dengke Wang |
| 2022 | AISTATS | Federated Reinforcement Learning with Environment Heterogeneity. | Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang |
| 2022 | COLING | Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction. | Bin Duan, Shusen Wang, Xingxian Liu, Yajing Xu |
| 2022 | IJCAI | Learning by Interpreting. | Xuting Tang, Abdul Rafae Khan, Shusen Wang, Jia Xu |
| 2022 | NAACL | Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration. | Shusen Wang, Bin Duan, Yanan Wu, Yajing Xu |
| 2022 | NAACL | RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction. | Shusen Wang, Bosen Zhang, Yajing Xu, Yanan Wu, Bo Xiao |
| 2021 | ICML | Communication-Efficient Distributed SVD via Local Power Iterations. | Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang |
| 2021 | ICML | Matrix Sketching for Secure Collaborative Machine Learning. | Mengjiao Zhang, Shusen Wang |
| 2020 | AAAI | Do Subsampled Newton Methods Work for High-Dimensional Data? | Xiang Li, Shusen Wang, Zhihua Zhang |
| 2020 | CIKM | Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. | Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning |
| 2020 | ICLR | On the Convergence of FedAvg on Non-IID Data. | Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang |
| 2019 | AAAI | A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression. | Shusen Wang |
| 2018 | ICML | Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap. | Miles E. Lopes, Shusen Wang, Michael W. Mahoney |
| 2018 | IGARSS | Dynamic Programming Track Before Detect Algorithm for Multistatic Mimo Stap Radar. | Shusen Wang, Ze Yu, Yukun Guo, Liwei Sun, Yanan Yu |
| 2018 | IGARSS | A New Imaging Method for Geostationary SAR Constellation Using Doppler Filtering. | Yukun Guo, Ze Yu, Shusen Wang, Jingwen Li |
| 2018 | KDD | 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 |
| 2017 | ICML | Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging. | Shusen Wang, Alex Gittens, Michael W. Mahoney |
| 2015 | IGARSS | A new simulation method based on continuous tangent motion model for spaceborne high-resolution SAR. | Shusen Wang, Ze Yu, Lvqian Zhang, Na Pu |
| 2015 | IJCAI | Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. | Yangqiu Song, Shusen Wang, Haixun Wang |
| 2014 | AAAI | Exact Subspace Clustering in Linear Time. | Shusen Wang, Bojun Tu, Congfu Xu, Zhihua Zhang |
| 2014 | AAAI | Using The Matrix Ridge Approximation to Speedup Determinantal Point Processes Sampling Algorithms. | Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang |
| 2014 | AISTATS | Efficient Algorithms and Error Analysis for the Modified Nystrom Method. | Shusen Wang, Zhihua Zhang |
| 2014 | CIKM | Transfer Understanding from Head Queries to Tail Queries. | Yangqiu Song, Haixun Wang, Weizhu Chen, Shusen Wang |
| 2014 | ICML | Making Fisher Discriminant Analysis Scalable. | Bojun Tu, Zhihua Zhang, Shusen Wang, Hui Qian |
| 2014 | KDD | Improving the modified nystrm method using spectral shifting. | Shusen Wang, Chao Zhang, Hui Qian, Zhihua Zhang |
| 2013 | IJCAI | Nonconvex Relaxation Approaches to Robust Matrix Recovery. | Shusen Wang, Dehua Liu, Zhihua Zhang |
| 2012 | AAAI | Colorization by Matrix Completion. | Shusen Wang, Zhihua Zhang |
| 2011 | AAAI | Efficient Subspace Segmentation via Quadratic Programming. | Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen |
| 2008 | IGARSS | Improving Land Surface Pixel Level Albedo Characterization Using Sub-Pixel Information Retrieved from Remote Sensing. | Wenjun Liu, Baoxin Hu, Shusen Wang |
| 2006 | IGARSS | 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 |
| 2004 | IGARSS | 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 |
| 2002 | IGARSS | Diurnal variation of direct and diffuse radiation and its impact on surface albedo. | Shusen Wang, Sylvain G. Leblanc, Richard A. Fernandes, Josef Cihlar |
| 2002 | IGARSS | 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 |