Shaojie Tang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 24

Top Topics

Cancer Diagnosis

Supervised Learning

Approximation Ratio

Top Venues

INFORMS J. Comput.

Publications

Jiayuan Zhang, Xuefeng Liu, Yukang Zhang, Guogang Zhu, Jianwei Niu, Shaojie Tang
Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning. KDD (2024)
Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen
Enhancing On-Device LLM Inference with Historical Cloud-Based LLM Interactions. KDD (2024)
Jing Yuan, Twumasi Mensah-Boateng, Shaojie Tang
Influencer Marketing Augmented Personalized Assortment Planning: A Two-Stage Optimization Problem. ICWSM (2024)
Guogang Zhu, Xuefeng Liu, Xinghao Wu, Shaojie Tang, Chao Tang, Jianwei Niu, Hao Su
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning. CoRR (2024)
Xinghao Wu, Jianwei Niu, Xuefeng Liu, Mingjia Shi, Guogang Zhu, Shaojie Tang
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation. CoRR (2024)
Yaoyao Zhang, Chaojie Zhu, Shaojie Tang, Yingli Ran, Ding-Zhu Du, Zhao Zhang
Evolutionary Algorithm on General Cover with Theoretically Guaranteed Approximation Ratio. INFORMS J. Comput. 36 (2) (2024)
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Haolin Wang, Shaojie Tang, Guogang Zhu, Hao Su
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition. CoRR (2024)
Shuang Cui, Kai Han, Shaojie Tang, Feng Li, Jun Luo
Fairness in Streaming Submodular Maximization Subject to a Knapsack Constraint. KDD (2024)
Shaojie Tang, Jing Yuan
Group Equality in Adaptive Submodular Maximization. INFORMS J. Comput. 36 (2) (2024)
Zengqing Wu, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Run Peng, Chuan Xiao
Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents. CoRR (2024)
Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Yong Wang, Qingfeng Li, Shaojie Tang
A domain knowledge powered hybrid regularization strategy for semi-supervised breast cancer diagnosis. Expert Syst. Appl. 243 (2024)
Yikai Yan, Chaoyue Niu, Yucheng Ding, Zhenzhe Zheng, Shaojie Tang, Qinya Li, Fan Wu, Chengfei Lyu, Yanghe Feng, Guihai Chen
Federated Optimization Under Intermittent Client Availability. INFORMS J. Comput. 36 (1) (2024)
Shaojie Tang, Jing Yuan
Non-monotone Sequential Submodular Maximization. AAAI (2024)
Shaojie Tang, Jing Yuan
Submodular Optimization beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising. ICWSM (2024)
Guogang Zhu, Xuefeng Liu, Jianwei Niu, Yucheng Wei, Shaojie Tang, Jiayuan Zhang
Learning by imitating the classics: Mitigating class imbalance in federated learning via simulated centralized learning. Expert Syst. Appl. 255 (2024)
Jing Yuan, Shaojie Tang
Submodular Participatory Budgeting. CoRR (2024)
Leila Hosseini, Shaojie Tang, Vijay S. Mookerjee
When Is More Merrier? A Cloud-Based Architecture to Procure Impressions from Multiple Ad Exchanges. Inf. Syst. Res. 35 (1) (2024)
Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. CoRR (2024)
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang, Xiaotian Li, Jiannong Cao
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning. CoRR (2024)
Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu
Aligning Before Aggregating: Enabling Communication Efficient Cross-Domain Federated Learning via Consistent Feature Extraction. IEEE Trans. Mob. Comput. 23 (5) (2024)
Yufei Zhu, Chaoyue Niu, Yikai Yan, Zhijie Cao, Hao Jiang, Chengfei Lyu, Shaojie Tang, Fan Wu
Device-Unimodal Cloud-Multimodal Collaboration for Livestreaming Content Understanding. ICDM (2023)
Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. ICCV (2023)
Shaojie Tang
Robust Adaptive Submodular Maximization. INFORMS J. Comput. 34 (6) (2022)
Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang
Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. INFORMS J. Comput. 34 (6) (2022)