- Shaojie Tang
:
Data Summarization Beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization. COCOA (1) 2023: 277-286 - Chenhao Wang
, Yao Wang, Shaojie Tang:
When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model. COCOA (2) 2023: 16-42 - Jing Yuan
, Shaojie Tang
:
Approximating Decision Trees with Priority Hypotheses. COCOON (1) 2023: 61-70 - 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: 19318-19327 - 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: 1571-1576 - Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang
:
SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition. INFOCOM 2023: 1-10 - Shaojie Tang
, Jing Yuan
:
Partial-Adaptive Submodular Maximization. IWOCA 2023: 380-391 - Pengyu Zuo, Yao Wang, Shaojie Tang:
Regularized online DR-submodular optimization. UAI 2023: 2608-2617 - Jiao Zhou, Yingli Ran, Zhao Zhang, Shaojie Tang:
Improved Approximation Algorithm for Minimum-Weight (1, m)-Connected Dominating Set. CoRR abs/2301.09247 (2023) - Jing Yuan, Shaojie Tang:
Group Fairness in Non-monotone Submodular Maximization. CoRR abs/2302.01546 (2023) - Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin:
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. CoRR abs/2302.10434 (2023) - Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
DC-CCL: Device-Cloud Collaborative Controlled Learning for Large Vision Models. CoRR abs/2303.10361 (2023) - Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng:
Achieving Long-term Fairness in Submodular Maximization through Randomization. CoRR abs/2304.04700 (2023) - Shaojie Tang, Jing Yuan:
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints. CoRR abs/2304.06596 (2023) - Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen:
Unlocking the Potential of Federated Learning for Deeper Models. CoRR abs/2306.02701 (2023) - Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Xinghao Wu, Jiaxing Shen:
Take Your Pick: Enabling Effective Personalized Federated Learning within Low-dimensional Feature Space. CoRR abs/2307.13995 (2023) - Shaojie Tang, Jing Yuan:
Non-monotone Sequential Submodular Maximization. CoRR abs/2308.08641 (2023) - Shaojie Tang:
Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization. CoRR abs/2309.05183 (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. CoRR abs/2309.11103 (2023) - Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng:
Provable Tensor Completion with Graph Information. CoRR abs/2310.02543 (2023) - Shao-Bo Lin, Tao Li, Shaojie Tang, Yao Wang, Ding-Xuan Zhou:
Lifting the Veil: Unlocking the Power of Depth in Q-learning. CoRR abs/2310.17915 (2023) - Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang:
Efficient Generalized Low-Rank Tensor Contextual Bandits. CoRR abs/2311.01771 (2023) - 2022
- Yanping Fu
, Zhenyu Gai, Haifeng Zhao, Shaojie Zhang, Ying Shan, Yang Wu, Jin Tang:
Depth-Aware Shadow Removal. Comput. Graph. Forum 41(7): 455-464 (2022) - Haiyun Xu, Bo Jiang, Lili Huang, Jin Tang, Shaojie Zhang:
Multi-head collaborative learning for graph neural networks. Neurocomputing 499: 47-53 (2022) - Shaojie Tang:
Robust Adaptive Submodular Maximization. INFORMS J. Comput. 34(6): 3277-3291 (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): 3096-3116 (2022) - Siyuan Liu
, Shaojie Tang
, Jiangchuan Zheng, Lionel M. Ni:
Unsupervised Learning for Human Mobility Behaviors. INFORMS J. Comput. 34(3): 1565-1586 (2022) - Shaojie Tang
, Siyuan Liu
, Xu Han, Yu Qiao:
Toward Robust Monitoring of Malicious Outbreaks. INFORMS J. Comput. 34(2): 1257-1271 (2022) - Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Qingfeng Li
, Yong Wang, Jie Han, Shaojie Tang:
DG-CNN: Introducing Margin Information into Convolutional Neural Networks for Breast Cancer Diagnosis in Ultrasound Images. J. Comput. Sci. Technol. 37(2): 277-294 (2022) - Yu Deng, Ling Wang, Chen Zhao
, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou:
A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images. Medical Biol. Eng. Comput. 60(5): 1417-1429 (2022)