An Object Oriented Simulation Model for Assigning Browser Clients to Servers. - Sub Ramakrishnan; B. Madhu Rao; Tong Shu (PDCS, 2003)

A Study of Corporate Managerial Module and Information System Orienting Agile Virtual Enterprises. - Tong Shu; Shou Chen (ICEB, 2004)

A performance evaluation model for RSS-based vertical handoff algorithms. - Tong Shu; Min Liu 001; Zhongcheng Li (ISCC, 2009)

Network-layer soft vertical handoff schemes without packet reordering. - Tong Shu; Min Liu 001; Zhongcheng Li; Kun Zheng (LCN, 2009)

Joint Variable Width Spectrum Allocation and Link Scheduling for Wireless Mesh Networks. - Tong Shu; Min Liu 001; Zhongcheng Li; Anfu Zhou (ICC, 2010)

A Diagnosis-Based Soft Vertical Handoff Mechanism for TCP Performance Improvement. - Tong Shu; Min Liu 001; Zhongcheng Li; Anfu Zhou (ICCCN, 2010)

Ave-CPFR Working Chains on the Basis of Selection Model of Collaborative Credit-Granting Guarantee Approaches. - Tong Shu; Shou Chen; Chi Xie; Shouyang Wang; Kin Keung Lai (Int. J. Inf. Technol. Decis. Mak., 2010)

Spectrum Allocation for Distributed Throughput Maximization under Secondary Interference Constraints in Wireless Mesh Networks. - Tong Shu; Min Liu 001; Zhongcheng Li (ICCCN, 2011)

Exploiting the full potential of multi-AP diversity in centralized WLANs through back-pressure scheduling. - Anfu Zhou; Min Liu 001; Tong Shu; Yilin Song; Zhongcheng Li (LCN, 2011)

Interference pair-based distributed spectrum allocation in wireless mesh networks with frequency-agile radios. - Tong Shu; Min Liu 001; Zhongcheng Li; Qishi Wu (SECON, 2011)

Advance bandwidth reservation for energy efficiency in high-performance networks. - Tong Shu; Chase Qishi Wu; Daqing Yun (LCN, 2013)

GBOM-oriented management of production disruption risk and optimization of supply chain construction. - Tong Shu; Shou Chen; Shouyang Wang; Kin Keung Lai (Expert Syst. Appl., 2014)

Energy-efficient Mapping of Big Data Workflows under Deadline Constraints. - Tong Shu; Chase Qishi Wu (WORKS@SC, 2016)

An improved grey neural network model for predicting transportation disruptions. - Chunxia Liu; Tong Shu; Shou Chen; Shouyang Wang; Kin Keung Lai; Lu Gan (Expert Syst. Appl., 2016)

Energy-Efficient Dynamic Scheduling of Deadline-Constrained MapReduce Workflows. - Tong Shu; Chase Q. Wu (eScience, 2017)

Performance optimization of Hadoop workflows in public clouds through adaptive task partitioning. - Tong Shu; Chase Q. Wu (INFOCOM, 2017)

Bandwidth Scheduling for Energy Efficiency in High-Performance Networks. - Tong Shu; Chase Q. Wu (IEEE Trans. Commun., 2017)

Retailers' Order Strategies in Transshipments in Disruption Risks of Supply Chains. - Tong Shu; Xirui Yang; Shou Chen; Shouyang Wang; Kin Keung Lai; Hong-lin Yang (J. Syst. Sci. Complex., 2018)

Analysis of product return rate and price competition in two supply chains. - Yanyan Zheng; Tong Shu; Shouyang Wang; Shou Chen; Kin Keung Lai; Lu Gan (Oper. Res., 2018)

Probabilistic Power Flow Analysis for Hybrid HVAC and LCC-VSC HVDC System. - Tong Shu; Xingyu Lin; Sui Peng; Xiao Du; Huixiang Chen 003; Feng Li; Junjie Tang; Wenyuan Li 003 (IEEE Access, 2019)

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. - Justin M. Wozniak; Matthieu Dorier; Robert B. Ross; Tong Shu; Tahsin M. Kurç; Li Tang 007; Norbert Podhorszki; Matthew Wolf (Future Gener. Comput. Syst., 2019)

Production Decision and Coordination Mechanism of Socially Responsible Closed-Loop Supply Chain. - Xiaofeng Long; Jiali Ge; Tong Shu; Chunxia Liu (Complex., 2020)

In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (CoRR, 2020)

Energy-efficient mapping of large-scale workflows under deadline constraints in big data computing systems. - Tong Shu; Chase Q. Wu (Future Gener. Comput. Syst., 2020)

In-situ workflow auto-tuning through combining component models. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (PPoPP, 2021)

Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (SC, 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

An Adaptive Smoothness Parameter Strategy for Variational Optical Flow Model. - Hussain Zaid H. Alsharif; Tong Shu; Bin Zhu; Farisi Zeyad Sahl (Sci. Program., 2021)

Competitive strategy and production strategy of the original equipment manufacturer and the third-party remanufacturer in remanufacturing. - Minzhen Xu; Tong Shu; Shou Chen; Shouyang Wang; Shulin Lan (Int. J. Comput. Integr. Manuf., 2022)

HIOS: Hierarchical Inter-Operator Scheduler for Real-Time Inference of DAG-Structured Deep Learning Models on Multiple GPUs. - Turja Kundu; Tong Shu (CLUSTER, 2023)

A Key-Points Based Anchor-Free Cervical Cell Detector. - Tong Shu; Jun Shi 006; Yushan Zheng; Zhiguo Jiang 001; Lanlan Yu (EMBC, 2023)

Pareto Optimization of CNN Models via Hardware-Aware Neural Architecture Search for Drainage Crossing Classification on Resource-Limited Devices. - Yuke Li; Jiwon Baik; Md Marufi Rahman; Iraklis Anagnostopoulos; Ruopu Li; Tong Shu (SC Workshops, 2023)

Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations. - Yicheng Zhang; Dhroov Pandey; Di Wu; Turja Kundu; Ruopu Li; Tong Shu (SC Workshops, 2023)

Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection. - Amirhossein Nazeri; Denys W. Godwin; Aikaterini Maria Panteleaki; Iraklis Anagnostopoulos; Michael I. Edidem; Ruopu Li; Tong Shu (IEEE Big Data, 2024)

A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation. - Kalpit M. Vadnerkar; Emmanuela Amen Eze; Rinoj Gautam; Daoru Han; Xin Liang 001; Tong Shu (IEEE Big Data, 2024)

Modeling Lunar Surface Charging Using Physics-Informed Neural Networks. - Niloofar Zendehdel; Adib Mosharrof; Katherine Delgado; Daoru Han; Xin Liang 001; Tong Shu (IEEE Big Data, 2024)

SlideGCD: Slide-Based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification. - Tong Shu; Jun Shi 006; Dongdong Sun; Zhiguo Jiang 001; Yushan Zheng (MICCAI (4), 2024)

A Comparative Survey: Reusing Small Pre-Trained Models for Efficient Large Model Training. - Dhroov Pandey; Jonah Ghebremichael; Zongqing Qi; Tong Shu (SC Workshops, 2024)

AM-DGCNN: Leveraging Graph Attention Networks and Edge Attributes for Link Classification in Knowledge Graphs. - Dhroov Pandey; Tong Shu (SC Workshops, 2024)

Masked hypergraph learning for weakly supervised histopathology whole slide image classification. - Jun Shi 006; Tong Shu; Kun Wu 010; Zhiguo Jiang 001; Liping Zheng; Wei Wang 380; Haibo Wu; Yushan Zheng (Comput. Methods Programs Biomed., 2024)

Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis. - Jun Shi 006; Tong Shu; Zhiguo Jiang 001; Wei Wang 380; Haibo Wu; Yushan Zheng (CoRR, 2024)

Models for dual-channel remanufacturing supply chain with reference price effect under static and dynamic games. - Lili Dai; Tong Shu; Yanyan Zheng; Shouyang Wang (RAIRO Oper. Res., 2024)

Joint optimization of the inventory routing problem considering the recycling of broken bikes in the bike-sharing system. - Aigui Wu; Tong Shu; Shouyang Wang (RAIRO Oper. Res., 2024)

Optimal two-period pricing decisions and value-added service strategies of two-sided platform considering suppliers entry timing. - Huabao Zeng; Tong Shu; Yue Yu; Jiaming Cheng (Int. Trans. Oper. Res., 2024)

PredTOP: Latency Predictor Utilizing DAG Transformers for Distributed Deep Learning Training with Operator Parallelism. - Dipak Acharya; Tong Shu (IPDPS, 2025)