Wu, Shanshan

14 publications

ICML 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs Bowen Tan, Zheng Xu, Eric Xing, Zhiting Hu, Shanshan Wu

ICLRW 2025 Synthesizing Privacy-Preserving Text Data via Finetuning *without* Finetuning Billion-Scale LLMs Bowen Tan, Zheng Xu, Eric P. Xing, Zhiting Hu, Shanshan Wu

NeurIPS 2025 Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation Qing Yu, Xiaobei Wang, Shuchang Liu, Cheng.Feng, Xiaoyu Yang, Xueliang Wang, Chang Meng, Shanshan Wu, HailanYang, Bin Wen, Huihui Xiao, Xiang Li, Fan Yang, Xiaoqiang Feng, Lantao Hu, Han Li, Kun Gai, Lixin Zou

NeurIPSW 2023 Profit: Benchmarking Personalization and Robustness Trade-Off in Federated Prompt Tuning Liam Collins, Shanshan Wu, Sewoong Oh, Khe Chai Sim

NeurIPSW 2022 Motley: Benchmarking Heterogeneity and Personalization in Federated Learning Shanshan Wu, Tian Li, Zachary Charles, Yu Xiao, Ken Liu, Zheng Xu, Virginia Smith

NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash

NeurIPS 2020 Implicit Regularization and Convergence for Weight Normalization Xiaoxia Wu, Edgar Dobriban, Tongzheng Ren, Shanshan Wu, Zhiyuan Li, Suriya Gunasekar, Rachel Ward, Qiang Liu

NeurIPS 2019 Learning Distributions Generated by One-Layer ReLU Networks Shanshan Wu, Alexandros G Dimakis, Sujay Sanghavi

ICML 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

NeurIPS 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models Shanshan Wu, Sujay Sanghavi, Alexandros G Dimakis

NeurIPS 2016 Leveraging Sparsity for Efficient Submodular Data Summarization Erik Lindgren, Shanshan Wu, Alexandros G Dimakis

NeurIPS 2016 Single Pass PCA of Matrix Products Shanshan Wu, Srinadh Bhojanapalli, Sujay Sanghavi, Alexandros G Dimakis

AAAI 2014 Intra-View and Inter-View Supervised Correlation Analysis for Multi-View Feature Learning Xiao-Yuan Jing, Ruimin Hu, Yang-Ping Zhu, Shanshan Wu, Chao Liang, Jing-Yu Yang

ECML-PKDD 2009 Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid