← Authors

Shusen Wang

29 papers · 2012–2024 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (14) 🀝 Dynamic Duo (12) πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ’Ž Century Club (29) πŸ—ƒοΈ Keyword Collector (118) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ”₯ Unstoppable (13) ❓ The Questioner (2) πŸ“ˆ Trend Setter

Conferences

JMLR (7) ICML (5) AAAI (3) EMNLP (3) IJCAI (3) AISTATS (2) NAACL (2) NIPS (2) COLING (1) ICLR (1)

Top co-authors

Zhihua Zhang (12) Michael W. Mahoney (5) Alex Gittens (3) Yajing Xu (3) Xiang Li (3) Zili Wang (2) Wenhao Yang (2) Yan Gao (2) Wenhao Huang (2) Xiaoxuan Zhu (2)

Research topics

Statistics (1)

Keywords

matrix approximation (4) nystrom method (4) low-rank approximation (3) empirical risk minimization (3) relative-error bound (3) nystrom approximation (3) large language model (3) ridge regression (3) cur matrix decomposition (3) randomized algorithm (2) matrix decomposition (2) nystrΓΆm method (2) relation classification (2) matrix sketching (2) communication efficiency (2) convex optimization (2) model averaging (2) instruction tuning (2) dimensionality reduction (2) distributed optimization (2)

Papers

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024
Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation AAAI 2024
RefGPT: Dialogue Generation of GPT, by GPT, and for GPT EMNLP 2023
2INER: Instructive and In-Context Learning on Few-Shot Named Entity Recognition EMNLP 2023
Learning by Interpreting IJCAI 2022
RCL: Relation Contrastive Learning for Zero-Shot Relation Extraction NAACL 2022
Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022
Cluster-aware Pseudo-Labeling for Supervised Open Relation Extraction COLING 2022
Learning Discriminative Representations for Open Relation Extraction with Instance Ranking and Label Calibration NAACL 2022
Communication-Efficient Distributed SVD via Local Power Iterations ICML 2021
Matrix Sketching for Secure Collaborative Machine Learning ICML 2021
On the Convergence of FedAvg on Non-IID Data ICLR 2020
Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020
A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression AAAI 2019
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication JMLR 2019
Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds JMLR 2019
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap ICML 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging JMLR 2018
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging ICML 2017
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions JMLR 2016
Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach IJCAI 2015
Efficient Algorithms and Error Analysis for the Modified Nystrom Method AISTATS 2014
Making Fisher Discriminant Analysis Scalable ICML 2014
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013
Nonconvex Relaxation Approaches to Robust Matrix Recovery IJCAI 2013
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound NIPS 2012
EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012