Publications

Here is a selected list of my publications:

Journals

  1. [TMC] Duo Wu, Panlong Wu, Miao Zhang, Fangxin Wang#, "MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning", to appear in IEEE Transactions on Mobile Computing, 2025 (CCF-A, JCR-Q1)

  2. [NETWORK] Wenjun Zhang, Xiaoli Liu, Chao Zhu, Samu Varjonen, Fangxin Wang, Sasu Tarkoma, "Federated Learning Meets Urban Opportunistic Crowdsensing in 6G Networks: Opportunities, Challenges and Optimization Potentials", to appear in IEEE Network, 2025 (JCR-Q1)

  3. [TMC] Yili Jin, Wenyi Zhang, Zihan Xu, Fangxin Wang#, Xue Liu, "Privacy-Preserving Gaze-Assisted Immersive Video Streaming", to appear in IEEE Transactions on Mobile Computing, 2025 (CCF-A, JCR-Q1)

  4. [NETWORK] Yili Jin, Junhua Liu, Kaiyuan Hu, Fangxin Wang#, "A Networking Perspective of Volumetric Video Service: Architecture, Opportunities, and Case Study", IEEE Network, vol. 38, no. 6, pp. 138-145, 2024 (JCR-Q1)

  5. [TMC] Panlong Wu, Kangshuo Li, Ting Wang, Yanjie Dong, Victor C.M. Leung, Fangxin Wang#, "FedFMSL: Federated Learning of Foundation Models With Sparsely Activated LoRA", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 15167-15181, 2024 (CCF-A, JCR-Q1)

  6. [IOTJ] Lai Wei, Yanting Liu, Fangxin Wang, Dan Wang, "FewVV: Few-Shot Adaptive Bitrate Volumetric Video Streaming with Prompted Online Adaptation", IEEE Internet of Things Journal, vol. 11, no. 19, pp. 32055-32066, 2024 (JCR-Q1)

  7. [TMC] Panlong Wu, Qi Liu, Yanjie Dong, Zhaorui Wang, Fangxin Wang#, "LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 12748-12760, 2024 (CCF-A, JCR-Q1)

  8. [TMC] Rongyu Zhang*, Yun Chen*, Chenrui Wu*, Fangxin Wang#, Bo Li, "Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 12396-12409, 2024 (CCF-A, JCR-Q1)

  9. [TVCG] Zhicheng Liang*, Junhua Liu*, Mallesham Dasari, Fangxin Wang#, "Fumos: Neural Compression and Progressive Refinement for Continuous Point Cloud Video Streaming", Transactions on Visualization and Computer Graphics, vol. 30, no. 5, pp. 2849-2859, 2024 (CCF-A, JCR-Q1) (presented at IEEE VR 2024 and selected to publish at IEEE TVCG)

  10. [TMC] Dayou Zhang, Lai Wei, Kai Shen, Hao Zhu, Dan Wang, Fangxin Wang#, "TrimStream: Adaptive Realtime Video Streaming through Intelligent Frame Retrospection in Adverse Network Conditions", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 11240-11252, 2024 (CCF-A, JCR-Q1)

  11. [TCOM] Jiwen Wang, Rongrong Zhang, Ju Ren, Fangxin Wang, Shuai Wang, Jihong Yu, "On AoI of Grant-Free Access with HARQ", IEEE Transactions on Communications, vol. 72, no. 2, pp. 924-937, 2024 (JCR-Q1)

  12. [TMC] Dayou Zhang, Hao Zhu, Kai Shen, Dan Wang, Fangxin Wang#, "DSJA: Distributed Server-driven Joint Route Scheduling and Streaming Adaptation for Multi-Party Realtime Video Streaming", IEEE Transactions on Mobile Computing, vol. 23, no. 7, pp. 7680-7694, 2024 (CCF-A, JCR-Q1)

  13. [IOTJ] Wenyi Zhang, Zihan Xu, Fangxin Wang#, Jiangchuan Liu, "Proffler: Toward Collaborative and Scalable Edge-Assisted Crowdsourced Livecast", IEEE Internet of Things Journal, vol. 11, no. 2, pp. 3539-3549, 2024 (JCR-Q1)

  14. [IOTJ] Lai Wei, Yanting Liu, Fangxin Wang#, Dayou Zhang, Dan Wang, "VSAS: Decision Transformer-based On-demand Volumetric Video Streaming with Passive Frame Dropping", IEEE Internet of Things Journal, vol. 11, no. 8, pp. 13752-13767, 2024 (JCR-Q1)

  15. [TMC] Duo Wu, Dayou Zhang, Miao Zhang, Ruoyu Zhang, Fangxin Wang#, Shuguang Cui, "ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration", IEEE Transactions on Mobile Computing, vol. 23, no. 6, pp. 6743-6757, 2024 (CCF-A, JCR-Q1)

  16. [IOTJ] Chenrui Wu, Yifei Zhu, Rongyu Zhang, Yun Chen, Fangxin Wang#, Shuguang Cui, "FedAB: Truthful Federated Learning with Auction-based Combinatorial Multi-Armed Bandit", IEEE Internet of Things Journal, vol. 10, no. 17, pp. 15159-15170, 2023 (JCR-Q1)

  17. [IOTJ] Yili Jin, Junhua Liu, Fangxin Wang#, Shuguang Cui, "Ebublio: Edge-Assisted Multiuser 360° Video Streaming", IEEE Internet of Things Journal, vol. 10, no. 17, pp. 15408-15419, 2023 (JCR-Q1)

  18. [IOTJ] Linfeng Shen, Fangxin Wang, Feng Wang, Jiangchuan Liu, "Backup Battery Allocation and Workload Migration against Electrical Load Shedding at Edge", IEEE Internet of Things Journal, vol. 10, no. 19, pp. 16804-16815, 2023 (JCR-Q1)

  19. [NETWORK] Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang#, Jiangchuan Liu, "Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge", IEEE Network, vol. 37, no. 4, pp. 120-126, 2023 (JCR-Q1)

  20. [TON] Miao Zhang, Yifei Zhu, Jiangchuan Liu, Feng Wang, Fangxin Wang, "CharmSeeker: Automated Pipeline Configuration for Serverless Video Processing", IEEE/ACM Transactions on Networking, vol. 30, no. 6, pp. 2730-2743, December 2022 (CCF-A, JCR-Q1)

  21. [NETWORK] Miao Zhang, Fangxin Wang, Yifei Zhu, Jiangchuan Liu, Bo Li, "Serverless Empowered Video Analytics for Ubiquitous Networked Cameras", IEEE Network, vol. 35, no. 6, pp. 186-193, December 2021, (JCR-Q1)

  22. [NETWORK] Fangxin Wang, Jiangchuan Liu, Cong Zhang, Lifeng Sun, Kai Hwang, "Intelligent Edge Learning for Personalized Crowdsourced Livecast: Challenges, Opportunities and Solutions", IEEE Network, vol. 35, no. 1, pp. 170-176, February 2021, (JCR-Q1)

  23. [TON] Fangxin Wang, Cong Zhang, Feng Wang, Jiangchuan Liu, Yifei Zhu, Haipian Pang, Lifeng Sun, "DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast with Deep Reinforcement Learning", IEEE/ACM Transactions on Networking, vol. 28, no. 3, pp. 1255-1268, June 2020 (CCF-A, JCR-Q1)

  24. [TMC] Fangxin Wang, Jiangchuan Liu, Wei Gong, "Multi-Adversarial In-Car Activity Recognition using RFIDs", IEEE Transactions on Mobile Computing, vol. 20, no. 6, pp. 2224-2237, June 2021, (CCF-A, JCR-Q1)

  25. [FGCS] Long Hu, Yinging Jiang, Fangxin Wang#, Kai Hwang#, M. Shamim Hossain, Ghulam Muhammad, "Follow me Robot-Mind: Cloud brain based personalized robot service with migration", Future Generation Computer Systems, vol. 107, pp. 324-332, June 2020 (JCR-Q1)

  26. [T-ITS] Fangxin Wang, Feng Wang, Yifei Zhu, Jiangchuan Liu, Xiaoqiang Ma, Xiaoyi Fan, "Car4Pac: Last Mile Parcel Delivery through Intelligent Car Trip Sharing", IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 10, pp. 4410-4423, October 2019, (JCR-Q1)

  27. [NETWORK] Fangxin Wang, Feng Wang, Xiaoqiang Ma, Jiangchuan Liu, "Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities", IEEE Network, vol. 33, no. 2, pp. 23-29, March/April 2019 (JCR-Q1)

  28. [WCM] Xiaoyi Fan, Fangxin Wang#, Feng Wang, Wei Gong, Jiangchuan Liu, "When RFID Meets Deep Learning: Exploring the Cognitive Intelligence for Activity Identification", IEEE Wireless Communications, vol. 26, no. 3, pp. 19-25, June 2019 (JCR-Q1)

  29. [IOTJ] Fangxin Wang, Wei Gong, Jiangchuan Liu, "On Spatial Diversity in WiFi-based Human Activity Recognition: A Deep Learning based Approach", IEEE Internet of Things Journal, vol. 6, no. 2, pp. 2035-2047, April 2019 (JCR-Q1)

  30. [TMC] Fangxin Wang, Xiaoyi Fan, Feng Wang, Jiangchuan Liu, "Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations", IEEE Transactions on Mobile Computing, vol. 18, no. 3, pp. 520-533, March 2019 (CCF-A, JCR-Q1)

  31. [TNSE] Fangxin Wang, Wei Gong, Jiangchuan Liu, Kui Wu, "Channel Selective Activity Recognition with WiFi: A Deep Learning Approach Exploring Wideband Information", IEEE Transactions on Network Science and Engineering, vol. 7, no. 1, pp. 181-192, Jan.-March 2020 (JCR-Q1)

  32. [TON] Ming Zhu, Dan Li, Fangxin Wang, Anke Li, K.K. Ramakrishnan, Ying Liu, Jianping Wu, Nan Zhu, Xue Liu, "CCDN: Content-Centric Data Center Networks", IEEE/ACM Transactions on Networking, vol. 24, no. 6, pp. 3537-3550, December 2016 (CCF-A, JCR-Q1)

Conferences

  1. [AAAI] Xianda Wang, Yaqi Qiao, Duo Wu, Chenrui Wu, Fangxin Wang#, "Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning", in Proceedings of the AAAI Conference on Artificial Intelligence, Philadelphia, USA, 25 February-04 March, 2025 (CCF-A)

  2. [MM] Yili Jin, Xize Duan, Fangxin Wang, Xue Liu, "HeadSetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets", in Proceedings of ACM Multimedia, Melbourne, Australia, 2024 (CCF-A)

  3. [SIGCOMM] Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang#, "NetLLM: Adapting Large Language Models for Networking", in Proceedings of ACM SIGCOMM, Sydney, Australia, August 4-8, 2024 (CCF-A) [Paper][Code]

  4. [ICASSP] Kaiyuan Hu, Hongjie Liao, Mingxiao Li, Fangxin Wang#, "mmCount: Stationary Crowd Counting System Based on Commodity Millimeter-wave Radar", in Proceedings of IEEE ICASSP, Seoul, Korea, 14-19 April, 2024 (CCF-B)

  5. [MM] Kaiyuan Hu*, Haowen Yang*, Yili Jin, Junhua Liu, Yongting Chen, Miao Zhang, Fangxin Wang#, "Understanding User Behavior in Volumetric Video Watching: Dataset, Analysis and Prediction", in Proceedings of ACM Multimedia, Ottawa, Canada, Oct.29-Nov.2, 2023 (CCF-A)

  6. [EMS] Junhua Liu, Yuanyuan Wang, Yan Wang, Yufeng Wang, Shuguang Cui, Fangxin Wang#, "Mobile Volumetric Video Streaming System through Implicit Neural Representation", in Proceedings of ACM SIGCOMM Workshop on Emerging Multimedia Systems, 2023

  7. [NOSSDAV] Rongyu Zhang, Lixuan Du, Jiaming Liu, Congcong Song, Fangxin Wang#, Xiaoqi Li, Ming Lu, Yandong Guo, Shanghang Zhang#, "RepCaM: Re-parameterization Content-aware Modulation for Neural Video Delivery", in Proceedings of ACM NOSSDAV, Vancouver, Canada, June 10, 2023 (CCF-B)

  8. [MMSys] Kaiyuan Hu, Yili Jin, Haowen Yang, Junhua Liu, Fangxin Wang#, "FSVVD: A Dataset of Full Scene Volumetric Video", in Proceedings of ACM MMSys, Vancouver, Canada, June 7-10, 2023 [Website]

  9. [ICME] Rongyu Zhang*, Yun Chen*, Chenrui Wu*, Fangxin Wang#, "Cluster-driven Federated GNN-based Recommendation System with Biased Message Dropout", in Proceedings of IEEE ICME, Brisbane, Australia, July 10-14, 2023 (CCF-B)

  10. [ICME] Chenrui Wu, Zexi Li, Fangxin Wang#, Chao Wu#, "Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients", in Proceedings of IEEE ICME Brisbane, Australia, July 10-14, 2023 (CCF-B)

  11. [VR] Junhua Liu, Boxiang Zhu, Fangxin Wang#, Yili Jin, Wenyi Zhang, Zihan Xu, Shuguang Cui, "CaV3: Cache-assisted Viewport Adaptive Volumetric Video Streaming", in Proceedings of IEEE VR, March 25-29, Shanghai, China, 2023 (CCF-A)

  12. [INFOCOM] Kai Shen, Dayou Zhang, Zi Zhu, Lei Zhang, Fangxin Wang#, Dan Wang, "SJA: Server-driven Joint Adaptation of Loss and Bitrate for Multi-Party Realtime Video Streaming", in Proceedings of IEEE INFOCOM, New York, USA, May 17-20, 2023 (CCF-A)

  13. [INFOCOM] Miao Zhang, Yifei Zhu, Linfeng Shen, Fangxin Wang#, Jiangchuan Liu#, "OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos", in Proceedings of IEEE INFOCOM, New York, USA, May 17-20, 2023 (CCF-A)

  14. [INFOCOM] Lei Zhang, Haotian Guo, Yanjie Dong, Fangxin Wang, Laizhong Cui, Victor Leung, "Collaborative Streaming and Super Resolution Adaptation for Mobile Immersive Videos", in Proceedings of IEEE INFOCOM, New York, USA, May 17-20, 2023 (CCF-A)

  15. [Satellite] Chenrui Wu, Yifei Zhu, Fangxin Wang#, "DSFL: Decentralized Satellite Federated Learning for Energy-Aware LEO Constellation Computing", in Proceedings of IEEE Satellite, Shenzhen, China, Nov. 26-27, 2022 (Best Student Paper Award)

  16. [MM] Yili Jin*, Junhua Liu*, Fangxin Wang#, Shuguang Cui, "Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study", in Proceedings of ACM Multimedia, Lisbon, Portugal, Oct. 10-14, 2022 [Website] (CCF-A)

  17. [ICME] Dayou Zhang, Kai Shen, Fangxin Wang#, Dan Wang, Jiangchuan Liu, "Towards Joint Loss and Bitrate Adaptation in Realtime Video Streaming", in Proceedings of IEEE ICME, Taipei, July 18-22, 2022 (CCF-B)

  18. [ICME] Ruoyu Zhang, Yutao Zhou, Fangxin Wang#, Zhi Wang, "Maxim: DRL-Based Cross-camera Streaming Configuration for Real-time Video Analytics", in Proceedings of IEEE ICME, Taipei, July 18-22, 2022 (CCF-B)

  19. [INFOCOM] Lei Zhang, Yuqing Zhang, Ximing Wu, Fangxin Wang, Laizhong Cui, Zhi Wang, Jiangchuan Liu, "Batch Adaptative Streaming for Video Analytics", in Proceedings of IEEE INFOCOM, virtual, May 2-5, 2022 (CCF-A)

  20. [INFOCOM] Miao Zhang, Fangxin Wang#, Jiangchuan Liu, "CASVA: Configuration-Adaptive Streaming for Live Video Analytics ", in Proceedings of IEEE INFOCOM, virtual, May 2-5, 2022 (CCF-A)

  21. [MMSys] Miao Zhang, Fangxin Wang, Yifei Zhu, Jiangchuan Liu, Zhi Wang, "Towards Cloud-Edge Collaborative Online Video Analytics with Fine-Grained Serverless Pipelines", in Proceedings of ACM MMSys, Istanbul, Turkey (virtual), 2021

  22. [IWQoS] Xiangxiang Wang, Jiangchuan Liu, Fangxin Wang, Ke Xu, "Demystifying the Relationship Between Network Latency and Mobility on High-Speed Rails: Measurement and Prediction", in Proceedings of IEEE/ACM IWQoS, Tokyo, Japan (virtual), 2021 (CCF-B)

  23. [IWQoS] Linfeng Shen, Fangxin Wang, Feng Wang, Jiangchuan Liu, "Workload Migration across Distributed Data Centers under Electrical Load Shedding", in Proceedings of IEEE/ACM IWQoS, Tokyo, Japan (virtual), 2021 (CCF-B)

  24. [INFOCOM] Fangxin Wang, Feng Wang, Jiangchuan Liu, Ryan Shea, Lifeng Sun, "Intelligent Video Caching at Network Edge: A Multi-Agent Deep Reinforcement Learning Approach", in Proceedings of IEEE INFOCOM, Toronto, Canada (virtual), 2020 (CCF-A)

  25. [IWQoS] Fangxin Wang, Jiangchuan Liu, Wei Gong, "WiCAR: WiFi-based in-Car Activity Recognition with Multi-Adversarial Domain Adaptation", in Proceedings of IEEE/ACM IWQoS, Phoenix, US, 2019, (CCF-B)

  26. [INFOCOM] Fangxin Wang, Cong Zhang, Feng Wang, Jiangchuan Liu, Yifei Zhu, Haitian Pang, Lifeng Sun, "Intelligent Edge-Assisted Crowdcast with Deep Reinforcement Learning for Personalized QoE", in Proceedings of IEEE INFOCOM, Paris, France, 2019 (CCF-A)

  27. [INFOCOM] Haitian Pang, Cong Zhang, Fangxin Wang, Jiangchuan Liu, Lifeng Sun, "Towards Low Latency Multi-viewpoint 360 Interactive Video: A Multimodal Deep Reinforcement Learning Approach", in Proceedings of IEEE INFOCOM, Paris, France, 2019 (CCF-A)

  28. [MM] Haitian Pang, Cong Zhang, Fangxin Wang, Han Hu, Zhi Wang, Jiangchuan Liu, Lifeng Sun, "Optimizing Personalized Interaction Experience in Crowd-Interactive Livecast: A Cloud-Edge Approach", in Proceedings of ACM Multimedia, Seoul, South Korea, 2018 (CCF-A)

  29. [IWQoS] Fangxin Wang, Yifei Zhu, Feng Wang, Jiangchuan Liu, "Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery", in Proceedings of IEEE/ACM IWQoS, Banff, Canada, 2018 (CCF-B)

  30. [e-Energy] Fangxin Wang, Feng Wang, Xiaoyi Fan, Jiangchuan Liu, "BatAlloc: Effective Battery Allocation against Power Outage for Cellular Base Stations", in Proceedings of ACM e-Energy, Hong Kong, China, 2017

  31. [IWQoS] Dan Li, Syed Shah-e-Mardan Ali Rizvi, Fangxin Wang, Wu He, "DVMP: Incremental Traffic-aware VM Placement on Heterogeneous Servers in Data Centers", in Proceedings of IEEE/ACM IWQoS, 2016, (CCF-B)

  32. [IPCCC] Fangxin Wang, Ruilin Ling, Jing Zhu, Dan Li, "Bandwidth Guaranteed Virtual Network Function Placement and Scaling in Datacenter Networks", in Proceedings of IEEE International Performance Computing and Communications Conference (IPCCC), 2015