Ziyu Shao
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Recent Highlights

  • S. Wang, S. Bian, X. liu, and Z. Shao, ‘‘Neural Constrained Combinatorial Bandits’’, in Proceedings of IEEE INFOCOM 2023, New York, U.S.A, May 17-20, 2023.

  • H. Yu, A. Chen, X. Chen, L. Xu, Z. Shao, and J. Yu, ‘‘Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting’’, in Proceedings of AAAI 2022 (Oral), February 22 - March 1, 2022.

  • X. Huang, S. Bian, X. Gao, W. Wu, Z. Shao , Y. Yang and J. Lui, ‘‘Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs’’, IEEE/ACM Transactions on Networking, vol. 29, no. 4, pp. 1867-1880, August 2021.

  • Y. Chang, X. Huang, L. Deng, Z. Shao, and J. Zhang, ‘‘Systematic Topology Design for Large-Scale Networks: A Unified Framework’’, in Proceedings of IEEE INFOCOM 2020, Toronto, Canada, July 6-9, 2020.

Books and Chapters

  • Y. Yang, Z. Liu, S. Zhao, Z. Shao, K. Wang, ‘‘Machine Learning for Context-Aware Cross-Layer Optimization’’, book chapter in Machine Learning for Future Wireless Communications, John Wiley and Sons Ltd, 2020.

Journal Papers (published/accepted)

  • S. Wang, Z. Shao, and J. Lui, ‘‘Next-Word Prediction: A Perspective of Energy-Aware Distributed Inference’’, IEEE Transactions on Mobile Computing, Accepted.

  • Y. Tang, J. Hou, X. Huang, Z. Shao, and Y. Yang, ‘‘Green Edge Intelligence Scheme for Mobile Keyboard Emoji Prediction’’, IEEE Transactions on Mobile Computing, Early Access.

  • Y. Yang，M. Ma, H. Wu, Q. Yu, Z. Shao, et al, ‘‘6G Network AI Architecture for Everyone-Centric Customized Services’’, IEEE Network, Early Access.

  • X. Gao, J. Wang, X. Huang, Q. Leng, Z. Shao, and Y. Yang, ‘‘Energy-Constrained Online Scheduling for Satellite-Terrestrial Integrated Networks’’, IEEE Transactions on Mobile Computing, vol. 22, no. 4, pp. 2163 - 2176, April 2023.

  • X. Huang, Z. Shao and Y. Yang, ‘‘POTUS: Predictive Online Tuple Scheduling for Data Stream Processing Systems’’, IEEE Transactions on Cloud Computing, vol. 10, no. 4, pp. 2863 - 2875, December 2022.

  • X. Huang, S. Zhao, Z. Shao , H. Qian and Y. Yang, ‘‘Online User-AP Association with Predictive Scheduling in Wireless Caching Networks’’, IEEE Transactions on Mobile Computing, vol. 21, no. 6, pp. 2116 - 2129, June 2022.

  • X. Gao, X. Huang, Y. Tang, Z. Shao , and Y. Yang, ‘‘History-Aware Online Cache Placement in Fog-Assisted IoT Systems: An Integration of Learning and Control’’, IEEE Internet of Things Journal, vol. 8, no. 19, pp. 14683-14704, October 2021.

  • J. Zhu, X. Huang, X. Gao, Z. Shao , and Y. Yang, ‘‘Multi-Interface Channel Allocation in Fog Computing Systems using Thompson Sampling’’, IEEE Internet of Things Journal, vol. 8, no. 17, pp. 13542-13554, September 2021.

  • X. Gao, X. Huang, Z. Shao , and Y. Yang, ‘‘An Integration of Online Learning and Online Control for Green Offloading in Fog-Assisted IoT Systems’’, IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1632-1646, September 2021.

  • X. Huang, S. Bian, X. Gao, W. Wu, Z. Shao , Y. Yang and J. Lui, ‘‘Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs’’, IEEE/ACM Transactions on Networking, vol. 29, no. 4, pp. 1867-1880, August 2021.

  • X. Huang, Y. Tang, Z. Shao, and H. Xu, ‘‘Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integrated Online Perspective of Control and Learning’’, IEEE Transactions on Network and Service Management, vol. 18, no. 1, pp. 315-330, March 2021.

  • S. Bian, X. Huang, X. Gao, Z. Shao , and Y. Yang, ‘‘Service Chain Composition with Resource Failures in NFV Systems: A Game-Theoretic Perspective’’, IEEE Transactions on Network and Service Management, vol. 18, no. 1, pp. 224-239, March 2021.

  • X. Huang, S. Bian, Z. Shao and H. Xu, ‘‘Predictive Switch-Controller Association and Control Devolution for SDN Systems’’, IEEE/ACM Transactions on Networking, vol. 28, no. 6, pp. 2783-2796, December 2020.

  • K. Wang, Y. Zhou, Z. Liu, Z. Shao, X. Luo and Y. Yang, ‘‘Online Task Scheduling and Resource Allocation for Intelligent NOMA-Based Industrial Internet of Things’’, IEEE Journal on Selected Areas in Communications, vol. 38, no. 5, pp. 803-815, May 2020.

  • Z. Liu, Y. Yang, K. Wang, Z. Shao and J. Zhang, ‘‘POST: Parallel Offloading of Splittable Tasks in Heterogeneous Fog Networks’’, IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3170-3183, April 2020.

  • X. Gao, X. Huang, S. Bian, Z. Shao, and Y. Yang, ‘‘PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems’’, IEEE Internet of Things Journal, vol. 7, no. 1, pp. 72-87, January 2020.

  • K. Wang, Y. Tan, Z. Shao, Y. Yang, and S. Ci, ‘‘Learning-based Task Offloading for Delay-sensitive Applications in Dynamic Fog Networks’’, IEEE Transactions on Vehicular Technology, vol. 68, no. 11, pp. 11399-11403, November 2019.

  • S. Zhao, Y. Yang, Z. Shao, X. Yang, H. Qian, and C. Wang, ‘‘FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks’’, IEEE Internet of Things Journal, vol. 5, no. 2, pp. 1169-1183, April 2018.

  • S. Li, Z. Shao and J. Huang, ‘‘ARM: Anonymous Rating Mechanism for Discrete Power Control’’, IEEE Transactions on Mobile Computing (TMC), vol. 16, no. 2, pp. 326-340, February 2017.

  • S. Zhang, Z. Shao, M. Chen and L. Jiang, ‘‘Optimal Distributed P2P Streaming under Node Degree Bounds’’, IEEE/ACM Transactions on Networking, vol. 22, no. 3, pp. 717-730, June 2014.

  • M. Chen, S. Liew, Z. Shao, and C. Kai, ‘‘Markov Approximation for Combinatorial Network Optimization’’, IEEE Transactions on Information Theory, vol. 59, no. 10, pp. 6301 - 6327, October 2013.

  • Z. Shao, M. Chen, S. Avestimehr, and S.-Y. R. Li, ‘‘Cross-layer Optimization for Wireless Networks with Deterministic Channel Models,’’ IEEE Transactions on Information Theory, vol. 57, no. 9, pp. 5840 - 5862, September 2011.

  • Z. Shao and S. -Y. R. Li, ‘‘To Code or Not to Code: Rate Optimality and Complexity of Network Coding versus Routing in Peer-to-Peer Networks’’, IEEE Transactions on Communications, vol. 59, no. 4, pp. 948-954, April, 2011.

  • S.-Y. R. Li , Q. T. Sun and Z. Shao, ‘‘Linear Network Coding: Theory and Algorithms’’, Proceedings of the IEEE, vol. 99, no. 3, pp. 372-387, March, 2011.

Conference Papers

  • Y. Xu, S. Wang, H. Guo, Z. Shao and X. Liu, ‘‘Learning to Schedule Online Tasks with Bandit Feedback’’, in Proceedings of AAMAS 2024, Auckland, New Zealand, May 6-10, 2024.

  • T. Zhang, S. Wang, Y. Tang, Z. Shao and Y. Yang, ‘‘Privacy-Preserving Edge Intelligence: A Perspective of Constrained Bandits’’, in Proceedings of IEEE WCNC 2024, Dubai, United Arab Emirates, April 21-24, 2024.

  • M. Chen, S. Wang, T. Zhang, Z. Shao and Y. Yang, ‘‘GNN-Aided Distributed GAN with Partially Observable Social Graph’’, in Proceedings of IEEE WCNC 2024, Dubai, United Arab Emirates, April 21-24, 2024.

  • S. Wang, S. Bian, Y. Tang and Z. Shao, ‘‘Social-Aware Distributed Meta-Learning: A Perspective of Constrained Graphical Bandits’’, in Proceedings of IEEE ICC 2023, Rome, Italy, May 28 - June 1, 2023.

  • S. Wang and Z. Shao, ‘‘Green Dueling Bandits’’, in Proceedings of IEEE ICC 2023, Rome, Italy, May 28 - June 1, 2023.

  • S. Wang, J. Wang, Y. Mao and Z. Shao, ‘‘Online Learning-Based Beamforming for Rate-Splitting Multiple Access: A Constrained Bandit Approach’’, in Proceedings of IEEE ICC 2023, Rome, Italy, May 28 - June 1, 2023.

  • S. Wang, S. Bian, X. liu, and Z. Shao, ‘‘Neural Constrained Combinatorial Bandits’’, in Proceedings of IEEE INFOCOM 2023, New York, U.S.A, May 17-20, 2023.

  • S. Bian, S. Wang, Y. Tang, and Z. Shao, ‘‘Social-Aware Edge Intelligence: A Constrained Graphical Bandit Approach’’, in Proceedings of IEEE GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022.

  • M. Ma, L. Wu, W. Liu, N. Chen, Z. Shao, and Y. Yang, ‘‘Data-aware Hierarchical Federated Learning via Task Offloading’’, in Proceedings of IEEE GLOBECOM 2022, Rio de Janeiro, Brazil, December 4-8, 2022.

  • Y. Tang, T. Huang, X. Huang, Z. Shao, and Y. Yang, ‘‘Learning-Aided Stable Matching for Switch-Controller Association in SDN Systems’’, in Proceedings of IEEE ICC 2022, Seoul, South Korea, May 16-20, 2022.

  • Q. Leng, S. Wang, X. Huang, Z. Shao, and Y. Yang, ‘‘Decentralized Multi-Agent Bandit Learning for Intelligent Internet of Things Systems’’, in Proceedings of IEEE WCNC 2022, Austin, TX, USA, April 10-13, 2022.

  • H. Yu, A. Chen, X. Chen, L. Xu, Z. Shao, and J. Yu, ‘‘Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting’’, in Proceedings of AAAI 2022 (Oral), February 22 - March 1, 2022.

  • G. Gao, L. Wu, Z. Shao, Y. Yang, and Z. Lin, ‘‘OCDST: Offloading Chained DNNs for Streaming Tasks’’, in Proceedings of IEEE GLOBECOM 2021, Madrid, Spain, December 7-11, 2021.

  • J. Hou, Y. Tang, X. Huang, Z. Shao, and Y. Yang, ‘‘Green Edge Intelligence Scheme for Mobile Keyboard Emoji Prediction’’, in Proceedings of IEEE ICC 2021, Montreal, Canada, June 14-23, 2021.

  • J. Wang, X. Gao, X. Huang, Q. Leng, Z. Shao, and Y. Yang, ‘‘Energy-Constrained Online Matching for Satellite-Terrestrial Integrated Networks’’, in Proceedings of IEEE ICC 2021, Montreal, Canada, June 14-23, 2021.

  • Y. Chang, X. Huang, L. Deng, Z. Shao, and J. Zhang, ‘‘Systematic Topology Design for Large-Scale Networks: A Unified Framework’’, in Proceedings of IEEE INFOCOM 2020, Toronto, Canada, July 6-9, 2020.

  • X. Huang, Y. Tang, Z. Shao, and H. Xu, ‘‘Joint Switch-Controller Association and Control Devolution for SDN Systems: An Integration of Online Control and Online Learning’’, in Proceedings of IEEE/ACM IWQoS 2020, Hangzhou, China, June 15-17, 2020.

  • X. Gao, X. Huang, Y. Tang, Z. Shao, and Y. Yang, ‘‘Proactive Cache Placement with Bandit Learning in Fog-Assisted IoT Systems’’, in Proceedings of IEEE ICC 2020, Dublin, Ireland, June 7-11, 2020.

  • J. Zhu, X. Huang, X. Gao, Z. Shao, and Y. Yang, ‘‘Multi-Interface Channel Allocation in Fog Computing Systems using Thompson Sampling’’, in Proceedings of IEEE ICC 2020, Dublin, Ireland, June 7-11, 2020.

  • X. Gao, X. Huang, Z. Shao, and Y. Yang, ‘‘Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control’’, in Proceedings of IEEE ICC 2020, Dublin, Ireland, June 7-11, 2020.

  • J. Zhu, X. Huang, and Z. Shao, ‘‘Learning-aided Content Placement in Caching-enabled Fog Computing Systems using Thompson Sampling’’, in Proceedings of IEEE ICASSP 2020, Barcelona, May 4-8, 2020.

  • Z. Liu, K. Wang, M. Zhou, Z. Shao, and Y. Yang, ‘‘Distributed Task Scheduling in Heterogeneous Fog Networks: A Matching with Externalities Method’’, in Proceedings of IEEE ICNC 2020, Big Island, Hawaii, USA, February 17-20, 2020.

  • S. Bian, X. Huang, Z. Shao and Y. Yang, ‘‘Neural Task Scheduling with Reinforcement Learning for Fog Computing Systems’’, in Proceedings of IEEE GLOBECOM 2019, Waikoloa, Hawaii, USA, December 4-8, 2019.

  • Y. Chang, X. Huang, Z. Shao and Y. Yang, ‘‘An Efficient Distributed Deep Learning Framework for Fog-Based IoT Systems’’, in Proceedings of IEEE GLOBECOM 2019, Waikoloa, Hawaii, USA, December 4-8, 2019.

  • X. Huang, S. Bian, X. Gao, W. Wu, Z. Shao and Y. Yang, ‘‘Online VNF Chaining and Scheduling with Prediction: Optimality and Trade-offs’’, in Proceedings of IEEE GLOBECOM 2019, Waikoloa, Hawaii, USA, December 4-8, 2019.

  • X. Huang, Z. Shao and Y. Yang, ‘‘Dynamic Tuple Scheduling with Prediction for Data Stream Processing Systems’’, in Proceedings of IEEE GLOBECOM 2019, Waikoloa, Hawaii, USA, December 4-8, 2019.

  • Z. Liu, X. Yang, K. Wang, Y. Yang and Z. Shao, ‘‘Computation Offloading Game for Multi-Task Multi-Helper Fog Networks’’, in Proceedings of IEEE GLOBECOM 2019, Waikoloa, Hawaii, USA, December 4-8, 2019.

  • J. Zhu, X. Huang, Y. Tang and Z. Shao, ‘‘Learning-Aided Online Task Offloading for UAVs-Aided IoT Systems’’, in Proceedings of IEEE VTC-Fall 2019, Honolulu, Hawaii, USA, September 22-25, 2019.

  • S. Bian, X. Huang and Z. Shao, ‘‘Online Task Scheduling for Fog Computing with Multi-Resource Fairness’’, in Proceedings of IEEE VTC-Fall 2019, Honolulu, Hawaii, USA, September 22-25, 2019.

  • X. Gao, X. Huang and Z. Shao, ‘‘Online Task Offloading with Bandit Learning in Fog-assisted IoT Systems’’, in Proceedings of IEEE VTC-Fall 2019, Honolulu, Hawaii, USA, September 22-25, 2019.

  • X. Huang, S. Bian, Z. Shao and H. Xu, ‘‘Predictive Switch-Controller Association and Control Devolution for SDN Systems’’, in Proceedings of IEEE IWQoS 2019, Phoenix, Arizona, USA, June 24-25, 2019.

  • X. Gao, X. Huang, S. Bian, Z. Shao, Y. Yang, ‘‘PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems’’, in Proceedings of IEEE ICC 2019, Shanghai, China, May 20-24, 2019.

  • S. Bian, X. Huang, X. Gao, Z. Shao, Y. Yang, ‘‘Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective’’, in Proceedings of IEEE ICC 2019, Shanghai, China, May 20-24, 2019.

  • X. Huang, Z. Shao, Y. Yang, ‘‘MIPS: Instance Placement for Stream Processing Systems based on Monte Carlo Tree Search’’, in Proceedings of IEEE ICC 2019, Shanghai, China, May 20-24, 2019.

  • S. Zhao, Z. Shao, H. Qian and Y. Yang, ‘‘Online User-AP Association with Predictive Scheduling in Wireless Caching Networks’’, in Proceedings of IEEE GLOBECOM 2017, Singapore, December 4-8, 2017.

  • K. Liu, V. Aggarwal, Z. Shao and M. Chen, ‘‘Joint Upload-Download TCP Acceleration Over Mobile Data Networks’’, in Proceedings of IEEE SECON 2017, San Diego, CA, USA, June 12-14, 2017.

  • X. Huang, S. Bian, Z. Shao and H. Xu, ‘‘Dynamic Switch-Controller Association and Control Devolution for SDN Systems’’, in Proceedings of IEEE ICC 2017, Paris, France, May 21-25, 2017.

  • S. Li, Z. Shao and J. Huang, ‘‘ ARM: Anonymous Rating Mechanism for Discrete Power Control’’, in Proceedings of IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt) 2015, Mumbai, India, May 25-29, 2015.

  • Z. Shao and S.-Y. R. Li, ‘‘Distributed Optimization for Wireless Networks with Inter-Session Network Coding’’, in Proceedings of IEEE International Symposium on Information Theory (ISIT) 2013, Istanbul, Turkey, July 7-12, 2013.

  • Z. Shao, X. Jin, W. Jiang, M. Chen, and M. Chiang, ‘‘Intra-Data-Center Traffic Engineering with Ensemble Routing’’, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM) 2013, Torino, Italy, April 14-19, 2013.

  • K. Leey, H. Zhang, Z. Shao, M. Chen, A. Parekhy and K. Ramchandran, ‘‘An Optimized Distributed Video-on-Demand Streaming System: Theory and Design’’, in Proceedings of 50th Annual Allerton Conference on Communication, Control and Computing (Allerton 2012), Allerton, IL, USA, October 1-5, 2012.

  • Z. Shao, H. Zhang, M. Chen, and K. Ramchandran, ‘‘Reverse-Engineering BitTorrent: A Markov Approximation Perspective’’, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM) 2012, Orlando, Florida, USA, March 25-30, 2012.

  • Z. Shao, M. Chen, and S.-Y. R. Li, ‘‘Distributed Optimization for Combinatorial Coding Subgraph Selection Problems’’, in Proceedings of the 2011 International Symposium on Network Coding (NetCod 2011), Beijing, China, July 25-27, 2011.

  • H. Zhang, Z. Shao, M. Chen, and K. Ramchandran, ‘‘Optimal Neighbor Selection in BitTorrent-like Peer-to-Peer Networks’’, in Proceedings of ACM SIGMETRICS, San Jose, CA, USA, June 7-11, 2011.

  • S. Zhang, Z. Shao, and M. Chen, ‘‘Optimal Distributed P2P Streaming under Node Degree Bounds’’, in Proceedings of IEEE International Conference on Network Protocols (ICNP) 2010, Kyoto, Japan, October 4-8, 2010.

  • Z. Shao, M. Chen, A. S. Avestimehr, and S.-Y. R. Li,, ‘‘Cross-layer Optimization for Wireless Networks with Deterministic Channel’’, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM) 2010, San Diego, CA, USA, March 15-19, 2010.

  • M. Chen, S. Liew, Z. Shao, and C. Kai, ‘‘Markov Approximation for Combinatorial Network Optimization’’, in Proceedings of IEEE International Conference on Computer Communications (INFOCOM) 2010, San Diego, CA, USA, March 15-19, 2010.

  • Z. Shao, S. Jaggi and S.-Y. R. Li, ‘‘To Code or Not to Code: Rate Optimality in Node-Capacitated Networks,’’ in Proceedings of IEEE International Symposium on Information Theory (ISIT) 2009, Seoul, Korea, June 28-July 3, 2009.

  • Z. Shao and S.-Y. R. Li, ‘‘The Promise of Network Coding,’’ in Proceedings of International Conference on Ubiquitous and Future Networks (ICUFN) 2009, pp.148-152, Hong Kong, June 7-9, 2009.