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Tang, Shaojie
21 publications
ICML
2025
Causality Inspired Federated Learning for OOD Generalization
Jiayuan Zhang
,
Xuefeng Liu
,
Jianwei Niu
,
Shaojie Tang
,
Haotian Yang
,
Xinghao Wu
AAAI
2025
DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
Wei Chen
,
Jianwei Niu
,
Xuefeng Liu
,
Zhendong Wang
,
Shaojie Tang
,
Guogang Zhu
ICML
2025
Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
Sijia Zhang
,
Shuli Zeng
,
Shaoang Li
,
Feng Wu
,
Shaojie Tang
,
Xiangyang Li
ECML-PKDD
2025
Learning Submodular Sequencing from Samples
Jing Yuan
,
Qi Cai
,
Xin Gao
,
Shaojie Tang
NeurIPS
2025
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
Xinghao Wu
,
Xuefeng Liu
,
Jianwei Niu
,
Guogang Zhu
,
Mingjia Shi
,
Shaojie Tang
,
Jing Yuan
IJCAI
2024
Estimating Before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
,
Xuefeng Liu
,
Xinghao Wu
,
Shaojie Tang
,
Chao Tang
,
Jianwei Niu
,
Hao Su
AAAI
2024
Non-Monotone Sequential Submodular Maximization
Shaojie Tang
,
Jing Yuan
ICMLW
2024
Shall We Team up: Exploring Spontaneous Cooperation of Competing LLM Agents
Zengqing Wu
,
Brian I. Kwon
,
Shuyuan Zheng
,
Qianying Liu
,
Xu Han
,
Makoto Onizuka
,
Shaojie Tang
,
Run Peng
,
Chuan Xiao
NeurIPS
2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates
Haolin Wang
,
Xuefeng Liu
,
Jianwei Niu
,
Wenkai Guo
,
Shaojie Tang
ICCV
2023
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning Through Cautiously Aggressive Collaboration
Xinghao Wu
,
Xuefeng Liu
,
Jianwei Niu
,
Guogang Zhu
,
Shaojie Tang
UAI
2023
Regularized Online DR-Submodular Optimization
Pengyu Zuo
,
Yao Wang
,
Shaojie Tang
ICML
2022
Fast and Provable Nonconvex Tensor RPCA
Haiquan Qiu
,
Yao Wang
,
Shaojie Tang
,
Deyu Meng
,
Quanming Yao
NeurIPS
2022
Federated Submodel Optimization for Hot and Cold Data Features
Yucheng Ding
,
Chaoyue Niu
,
Fan Wu
,
Shaojie Tang
,
Chengfei Lyu
,
Yanghe Feng
,
Guihai Chen
COLT
2022
Improved Parallel Algorithm for Minimum Cost Submodular Cover Problem
Yingli Ran
,
Zhao Zhang
,
Shaojie Tang
AAAI
2022
Optimal Sampling Gaps for Adaptive Submodular Maximization
Shaojie Tang
,
Jing Yuan
AAAI
2021
Toward Understanding the Influence of Individual Clients in Federated Learning
Yihao Xue
,
Chaoyue Niu
,
Zhenzhe Zheng
,
Shaojie Tang
,
Chengfei Lyu
,
Fan Wu
,
Guihai Chen
IJCAI
2020
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen
,
Jianwei Niu
,
Xuefeng Liu
,
Shaojie Tang
AAAI
2018
When Social Advertising Meets Viral Marketing: Sequencing Social Advertisements for Influence Maximization
Shaojie Tang
IJCAI
2017
No Time to Observe: Adaptive Influence Maximization with Partial Feedback
Jing Yuan
,
Shaojie Tang
AAAI
2017
Profit-Driven Team Grouping in Social Networks
Shaojie Tang
IJCAI
2017
Robust Advertisement Allocation
Shaojie Tang