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ORCIDShaojie Tang 0001
Shao-Jie Tang 0001
Person information
- affiliation: University at Buffalo, Department of Management Science and Systems, NY, USA
- affiliation (former): University of Texas at Dallas, TX, USA
Other persons with the same name
- Shaojie Tang 0002
![[0000-0003-1323-6939]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1323-6939")
— Xi'an University of Posts and Telecommunications, Xi'an, Shaanxi, China
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2020 – today
- 2025
[j162]Jing Yuan, Shaojie Tang:
Approximating decision trees with priority hypotheses. Theor. Comput. Sci. 1023: 114896 (2025)- 2024
- [j161]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: 122897 (2024) - [j160]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: 124755 (2024) - [j159]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): 185-202 (2024) - [j158]Shaojie Tang, Jing Yuan:
Group Equality in Adaptive Submodular Maximization. INFORMS J. Comput. 36(2): 359-376 (2024) - [j157]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): 510-525 (2024) - [j156]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): 294-317 (2024) - [j155]Qianxin Yi, Yiyang Yang, Shaojie Tang, Jiapeng Liu, Yao Wang:
Effective Generalized Low-Rank Tensor Contextual Bandits. IEEE Trans. Knowl. Data Eng. 36(12): 8051-8065 (2024) - [j154]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): 5880-5896 (2024) - [c188]Shaojie Tang, Jing Yuan:
Non-monotone Sequential Submodular Maximization. AAAI 2024: 15284-15291 - [c187]Jing Yuan, Shaojie Tang:
Submodular Participatory Budgeting. AAIM (1) 2024: 222-234 - [c186]Hang Zeng, Chaoyue Niu, Fan Wu, Shaojie Tang, Leihao Pei, Chengfei Lv, Guihai Chen:
BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks. EMNLP (Findings) 2024: 3156-3171 - [c185]Zengqing Wu, Run Peng, Shuyuan Zheng, Qianying Liu, Xu Han, Brian Inhyuk Kwon, Makoto Onizuka, Shaojie Tang, Chuan Xiao:
Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents. EMNLP (Findings) 2024: 5163-5186 - [c184]Shaojie Tang, Jing Yuan:
Submodular Optimization beyond Nonnegativity: Adaptive Seed Selection in Incentivized Social Advertising. ICWSM 2024: 1490-1502 - [c183]Jing Yuan, Twumasi Mensah-Boateng, Shaojie Tang:
Influencer Marketing Augmented Personalized Assortment Planning: A Two-Stage Optimization Problem. ICWSM 2024: 1753-1765 - [c182]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. IJCAI 2024: 2625-2633 - [c181]Shuang Cui, Kai Han, Shaojie Tang, Feng Li, Jun Luo:
Fairness in Streaming Submodular Maximization Subject to a Knapsack Constraint. KDD 2024: 514-525 - [c180]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: 597-608 - [c179]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: 4191-4202 - [c178]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. ACM Multimedia 2024: 7172-7181 - [c177]Guogang Zhu, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Xinghao Wu, Jiayuan Zhang:
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations. ACM Multimedia 2024: 11060-11069 - [i82]Shaojie Tang, Shuzhang Cai, Jing Yuan, Kai Han:
Assortment Planning with Sponsored Products. CoRR abs/2402.06158 (2024) - [i81]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 abs/2402.12327 (2024) - [i80]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 abs/2405.19789 (2024) - [i79]Jing Yuan, Shaojie Tang:
Submodular Participatory Budgeting. CoRR abs/2406.13586 (2024) - [i78]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 abs/2406.19931 (2024) - [i77]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 abs/2407.15464 (2024) - [i76]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 abs/2407.16139 (2024) - [i75]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 abs/2407.17754 (2024) - [i74]Wei Liang, Shaojie Tang, Zhao Zhang:
A Constant-Approximation Algorithm for Budgeted Sweep Coverage with Mobile Sensors. CoRR abs/2408.12468 (2024) - [i73]Jing Yuan, Shaojie Tang:
The Power of Second Chance: Personalized Submodular Maximization with Two Candidates. CoRR abs/2409.03545 (2024) - [i72]Jing Yuan, Shaojie Tang:
Learning Submodular Sequencing from Samples. CoRR abs/2409.05265 (2024) - [i71]Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang:
Why Go Full? Elevating Federated Learning Through Partial Network Updates. CoRR abs/2410.11559 (2024) - 2023
- [j153]Qingjuan Zhao, Jianwei Niu, Xuefeng Liu, Wenbo He, Shaojie Tang:
Generation of Coherent Multi-Sentence Texts with a Coherence Mechanism. Comput. Speech Lang. 78: 101457 (2023) - [j152]Yuben Qu, Dongyu Lu, Haipeng Dai, Haisheng Tan, Shaojie Tang, Fan Wu, Chao Dong:
Resilient Service Provisioning for Edge Computing. IEEE Internet Things J. 10(3): 2255-2271 (2023) - [j151]Shaojie Tang, Jing Yuan:
Partial-monotone adaptive submodular maximization. J. Comb. Optim. 45(1): 35 (2023) - [j150]Jing Yuan, Shaojie Tang:
Group fairness in non-monotone submodular maximization. J. Comb. Optim. 45(3): 88 (2023) - [j149]Shaojie Tang, Jing Yuan:
Beyond submodularity: a unified framework of randomized set selection with group fairness constraints. J. Comb. Optim. 45(4): 102 (2023) - [j148]Shaojie Tang, Jing Yuan:
Streaming adaptive submodular maximization. Theor. Comput. Sci. 944: 113644 (2023) - [j147]Qinya Li, Zun Li, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Zhao Zhang, Guihai Chen:
Capitalize Your Data: Optimal Selling Mechanisms for IoT Data Exchange. IEEE Trans. Mob. Comput. 22(4): 1988-2000 (2023) - [j146]Xiaojun Zhu, Zhouqing Han, Shaojie Tang, Lijie Xu, Chao Dong:
Deploying the Minimum Number of Rechargeable UAVs for a Quarantine Barrier. ACM Trans. Sens. Networks 19(2): 40:1-40:28 (2023) - [c176]Jing Yuan, Shaojie Tang:
Worst-Case Adaptive Submodular Cover. AAMAS 2023: 1915-1922 - [c175]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 - [c174]Shaojie Tang:
Data Summarization Beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization. COCOA (1) 2023: 277-286 - [c173]Jing Yuan, Shaojie Tang:
Approximating Decision Trees with Priority Hypotheses. COCOON (1) 2023: 61-70 - [c172]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 - [c171]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 - [c170]Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang:
SVDFed: Enabling Communication-Efficient Federated Learning via Singular-Value-Decomposition. INFOCOM 2023: 1-10 - [c169]Shaojie Tang, Jing Yuan:
Partial-Adaptive Submodular Maximization. IWOCA 2023: 380-391 - [c168]Pengyu Zuo, Yao Wang, Shaojie Tang:
Regularized online DR-submodular optimization. UAI 2023: 2608-2617 - [i70]Jiao Zhou, Yingli Ran, Zhao Zhang, Shaojie Tang:
Improved Approximation Algorithm for Minimum-Weight (1, m)-Connected Dominating Set. CoRR abs/2301.09247 (2023) - [i69]Jing Yuan, Shaojie Tang:
Group Fairness in Non-monotone Submodular Maximization. CoRR abs/2302.01546 (2023) - [i68]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) - [i67]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) - [i66]Shaojie Tang, Jing Yuan, Twumasi Mensah-Boateng:
Achieving Long-term Fairness in Submodular Maximization through Randomization. CoRR abs/2304.04700 (2023) - [i65]Shaojie Tang, Jing Yuan:
Beyond Submodularity: A Unified Framework of Randomized Set Selection with Group Fairness Constraints. CoRR abs/2304.06596 (2023) - [i64]Haolin Wang, Xuefeng Liu, Jianwei Niu, Shaojie Tang, Jiaxing Shen:
Unlocking the Potential of Federated Learning for Deeper Models. CoRR abs/2306.02701 (2023) - [i63]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) - [i62]Shaojie Tang, Jing Yuan:
Non-monotone Sequential Submodular Maximization. CoRR abs/2308.08641 (2023) - [i61]Shaojie Tang:
Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization. CoRR abs/2309.05183 (2023) - [i60]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) - [i59]Kaidong Wang, Yao Wang, Xiuwu Liao, Shaojie Tang, Can Yang, Deyu Meng:
Provable Tensor Completion with Graph Information. CoRR abs/2310.02543 (2023) - [i58]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) - [i57]Qianxin Yi, Yiyang Yang, Shaojie Tang, Yao Wang:
Efficient Generalized Low-Rank Tensor Contextual Bandits. CoRR abs/2311.01771 (2023) - 2022
- [j145]Shaojie Tang, Siyuan Liu, Xu Han, Yu Qiao:
Toward Robust Monitoring of Malicious Outbreaks. INFORMS J. Comput. 34(2): 1257-1271 (2022) - [j144]Siyuan Liu, Shaojie Tang, Jiangchuan Zheng, Lionel M. Ni:
Unsupervised Learning for Human Mobility Behaviors. INFORMS J. Comput. 34(3): 1565-1586 (2022) - [j143]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) - [j142]Shaojie Tang:
Robust Adaptive Submodular Maximization. INFORMS J. Comput. 34(6): 3277-3291 (2022) - [j141]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) - [j140]Shaojie Tang, Jing Yuan, Chenhao Wang, Yao Wang, Luoying Chen:
Assortment optimization with repeated exposures and product-dependent patience cost. Oper. Res. Lett. 50(1): 8-15 (2022) - [j139]Shaojie Tang:
Beyond pointwise submodularity: Non-monotone adaptive submodular maximization subject to knapsack and k-system constraints. Theor. Comput. Sci. 936: 139-147 (2022) - [j138]Shaojie Tang:
Stochastic submodular probing with state-dependent costs. Theor. Comput. Sci. 937: 63-68 (2022) - [j137]Chaoyue Niu, Fan Wu, Shaojie Tang, Shuai Ma, Guihai Chen:
Toward Verifiable and Privacy Preserving Machine Learning Prediction. IEEE Trans. Dependable Secur. Comput. 19(3): 1703-1721 (2022) - [j136]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen:
Online Pricing With Reserve Price Constraint for Personal Data Markets. IEEE Trans. Knowl. Data Eng. 34(4): 1928-1943 (2022) - [j135]Kaili Mao, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Lizi Liao, Tat-Seng Chua:
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices. IEEE Trans. Knowl. Data Eng. 34(12): 5571-5585 (2022) - [j134]Yuben Qu, Haipeng Dai, Fan Wu, Dongyu Lu, Chao Dong, Shaojie Tang, Guihai Chen:
Robust Offloading Scheduling for Mobile Edge Computing. IEEE Trans. Mob. Comput. 21(7): 2581-2595 (2022) - [j133]Jiaxing Shen, Jiannong Cao, Oren Lederman, Shaojie Tang, Alex 'Sandy' Pentland:
User Profiling Based on Nonlinguistic Audio Data. ACM Trans. Inf. Syst. 40(1): 17:1-17:23 (2022) - [j132]Youjing Lu, Fan Wu, Qianyi Huang, Shaojie Tang, Linghe Kong, Guihai Chen:
Shared Secret Key Generation by Exploiting Inaudible Acoustic Channels. ACM Trans. Sens. Networks 18(1): 13:1-13:26 (2022) - [j131]Peiyan Yuan, Shuhong Li, Yunyun Cai, Xiaoyan Zhao, Shaojie Tang, Xiang-Yang Li:
Maximizing the Capacity of Edge-Caching Networks With User-Content Evolution Relationship. IEEE Trans. Veh. Technol. 71(11): 12169-12178 (2022) - [j130]Yuben Qu, Haipeng Dai, Lihao Wang, Weijun Wang, Fan Wu, Haisheng Tan, Shaojie Tang, Chao Dong:
CoTask: Correlation-aware task offloading in edge computing. World Wide Web 25(5): 2185-2213 (2022) - [c167]Shaojie Tang, Jing Yuan:
Optimal Sampling Gaps for Adaptive Submodular Maximization. AAAI 2022: 8450-8457 - [c166]Shaojie Tang, Jing Yuan:
Streaming Adaptive Submodular Maximization. AAIM 2022: 109-120 - [c165]Shaojie Tang:
Constrained Stochastic Submodular Maximization with State-Dependent Costs. AAIM 2022: 121-132 - [c164]Yingli Ran, Zhao Zhang, Shaojie Tang:
Improved Parallel Algorithm for Minimum Cost Submodular Cover Problem. COLT 2022: 3490-3502 - [c163]Guogang Zhu, Xuefeng Liu, Shaojie Tang, Jianwei Niu:
Aligning before Aggregating: Enabling Cross-domain Federated Learning via Consistent Feature Extraction. ICDCS 2022: 809-819 - [c162]Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao:
Fast and Provable Nonconvex Tensor RPCA. ICML 2022: 18211-18249 - [c161]Yikai Yan, Chaoyue Niu, Renjie Gu, Fan Wu, Shaojie Tang, Lifeng Hua, Chengfei Lyu, Guihai Chen:
On-Device Learning for Model Personalization with Large-Scale Cloud-Coordinated Domain Adaption. KDD 2022: 2180-2190 - [c160]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Yanghe Feng, Guihai Chen:
Federated Submodel Optimization for Hot and Cold Data Features. NeurIPS 2022 - [c159]Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. OSDI 2022: 249-265 - [c158]Can Zhang, Xuefeng Liu, Shaojie Tang, Jianwei Niu, Tao Ren, Quanquan Hu:
Addressing Class Imbalance in Federated Learning via Collaborative GAN-Based Up-Sampling. WiCON 2022: 213-227 - [i56]Renjie Gu, Chaoyue Niu, Yikai Yan, Fan Wu, Shaojie Tang, Rongfeng Jia, Chengfei Lyu, Guihai Chen:
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems. CoRR abs/2201.10382 (2022) - [i55]Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen:
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning. CoRR abs/2205.14833 (2022) - [i54]Shaojie Tang, Jing Yuan:
Group Fairness in Adaptive Submodular Maximization. CoRR abs/2207.03364 (2022) - [i53]Shaojie Tang, Jing Yuan:
Partial-Monotone Adaptive Submodular Maximization. CoRR abs/2207.12840 (2022) - [i52]Shaojie Tang, Jing Yuan:
Streaming Adaptive Submodular Maximization. CoRR abs/2208.08021 (2022) - [i51]Yaoyao Zhang, Chaojie Zhu, Shaojie Tang, Ringli Ran, Ding-Zhu Du, Zhao Zhang:
Evolution is Still Good: Theoretical Analysis of Evolutionary Algorithms on General Cover Problems. CoRR abs/2210.00672 (2022) - [i50]Jing Yuan, Shaojie Tang:
Worst-Case Adaptive Submodular Cover. CoRR abs/2210.13694 (2022) - [i49]Yucheng Ding, Chaoyue Niu, Fan Wu, Shaojie Tang, Chengfei Lyu, Guihai Chen:
On-Device Model Fine-Tuning with Label Correction in Recommender Systems. CoRR abs/2211.01163 (2022) - [i48]Yikai Yan, Chaoyue Niu, Fan Wu, Qinya Li, Shaojie Tang, Chengfei Lyu, Guihai Chen:
One-Time Model Adaptation to Heterogeneous Clients: An Intra-Client and Inter-Image Attention Design. CoRR abs/2211.06276 (2022) - 2021
- [j129]Honghao Gao, Shaojie Tang, Xinheng Wang, Yuyu Yin:
IEEE Access Special Section Editorial: Innovation and Application of Internet of Things and Emerging Technologies in Smart Sensing. IEEE Access 9: 76816-76821 (2021) - [j128]Yingli Ran, Zhao Zhang, Shaojie Tang, Ding-Zhu Du:
Breaking the rmax Barrier: Enhanced Approximation Algorithms for Partial Set Multicover Problem. INFORMS J. Comput. 33(2): 774-784 (2021) - [j127]Xiaojun Zhu, Shaojie Tang:
Exact Algorithms for the Minimum Load Spanning Tree Problem. INFORMS J. Comput. 33(4): 1431-1445 (2021) - [j126]Xiaojun Zhu, Shaojie Tang:
A Branch-and-Bound Algorithm for Building Optimal Data Gathering Tree in Wireless Sensor Networks. INFORMS J. Comput. 33(4): 1446-1460 (2021) - [j125]Xiaozheng Xie, Jianwei Niu, Xuefeng Liu, Zhengsu Chen, Shaojie Tang, Shui Yu:
A survey on incorporating domain knowledge into deep learning for medical image analysis. Medical Image Anal. 69: 101985 (2021) - [j124]Kai Han, Shuang Cui, Tianshuai Zhu, Enpei Zhang, Benwei Wu, Zhizhuo Yin, Tong Xu, Shaojie Tang, He Huang:
Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint. Proc. ACM Meas. Anal. Comput. Syst. 5(1): 05:1-05:31 (2021) - [j123]Shaojie Tang:
Beyond pointwise submodularity: Non-monotone adaptive submodular maximization in linear time. Theor. Comput. Sci. 850: 249-261 (2021) - [j122]Jianfeng Lu, Yun Xin, Zhao Zhang, Shaojie Tang, Changbing Tang, Shaohua Wan:
Extortion and Cooperation in Rating Protocol Design for Competitive Crowdsourcing. IEEE Trans. Comput. Soc. Syst. 8(1): 246-259 (2021) - [j121]Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Xiaofeng Gao, Guihai Chen:
ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data. IEEE Trans. Knowl. Data Eng. 33(3): 975-990 (2021) - [j120]Xiaofeng Gao, Zuowu Zheng, Quanquan Chu, Shaojie Tang, Guihai Chen, Qianni Deng:
Popularity Prediction for Single Tweet Based on Heterogeneous Bass Model. IEEE Trans. Knowl. Data Eng. 33(5): 2165-2178 (2021) - [j119]Fan Wu, Shuo Yang, Zhenzhe Zheng, Shaojie Tang, Guihai Chen:
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing. IEEE Trans. Mob. Comput. 20(10): 2961-2976 (2021) - [j118]Youjing Lu, Fan Wu, Qianyi Huang, Shaojie Tang, Guihai Chen:
Telling Secrets in the Light: An Efficient Key Extraction Mechanism Via Ambient Light. IEEE Trans. Wirel. Commun. 20(1): 186-198 (2021) - [c157]