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Fangxin Wang 0001
Person information
- affiliation: Chinese University of Hong Kong, Shenzhen, China
Other persons with the same name
- Fangxin Wang 0002 — University of Chinese Academy of Sciences, Beijing, China
- Fangxin Wang 0003 — University of Illinois Chicago, Chicago, USA
- Fangxin Wang 0004 — Xizang Minzu University, School of Information Engineering, Xianyang, China
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2020 – today
- 2024
- [j33]Wenyi Zhang, Zihan Xu, Fangxin Wang, Jiangchuan Liu:
Proffler: Toward Collaborative and Scalable Edge-Assisted Crowdsourced Livecast. IEEE Internet Things J. 11(2): 3539-3549 (2024) - [j32]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 Things J. 11(8): 13752-13767 (2024) - [j31]Lai Wei, Yanting Liu, Fangxin Wang, Dan Wang:
FewVV: Few-Shot Adaptive Bitrate Volumetric Video Streaming With Prompted Online Adaptation. IEEE Internet Things J. 11(19): 32055-32066 (2024) - [j30]Yili Jin, Junhua Liu, Kaiyuan Hu, Fangxin Wang:
A Networking Perspective of Volumetric Video Service: Architecture, Opportunities, and Case Study. IEEE Netw. 38(6): 138-145 (2024) - [j29]Jiwen Wang, Rongrong Zhang, Ju Ren, Fangxin Wang, Shuai Wang, Jihong Yu:
On AoI of Grant-Free Access With HARQ. IEEE Trans. Commun. 72(2): 924-937 (2024) - [j28]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 Trans. Mob. Comput. 23(6): 6743-6757 (2024) - [j27]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 Trans. Mob. Comput. 23(7): 7680-7694 (2024) - [j26]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 Trans. Mob. Comput. 23(12): 11240-11252 (2024) - [j25]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Bo Li:
Multi-Level Personalized Federated Learning on Heterogeneous and Long-Tailed Data. IEEE Trans. Mob. Comput. 23(12): 12396-12409 (2024) - [j24]Panlong Wu, Qi Liu, Yanjie Dong, Zhaorui Wang, Fangxin Wang:
LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication. IEEE Trans. Mob. Comput. 23(12): 12748-12760 (2024) - [j23]Yili Jin, Wenyi Morty Zhang, Zihan Xu, Fangxin Wang, Xue (Steve) Liu:
Privacy-Preserving Gaze-Assisted Immersive Video Streaming. IEEE Trans. Mob. Comput. 23(12): 15098-15113 (2024) - [j22]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 Trans. Mob. Comput. 23(12): 15167-15181 (2024) - [j21]Zhicheng Liang, Junhua Liu, Mallesham Dasari, Fangxin Wang:
Fumos: Neural Compression and Progressive Refinement for Continuous Point Cloud Video Streaming. IEEE Trans. Vis. Comput. Graph. 30(5): 2849-2859 (2024) - [c41]Kaiyuan Hu, Hongjie Liao, Mingxiao Li, Fangxin Wang:
MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar. ICASSP 2024: 56-60 - [c40]Yili Jin, Xize Duan, Fangxin Wang, Xue Liu:
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets. ACM Multimedia 2024: 7928-7936 - [c39]Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang:
NetLLM: Adapting Large Language Models for Networking. SIGCOMM 2024: 661-678 - [i17]Panlong Wu, Qi Liu, Yanjie Dong, Fangxin Wang:
LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication. CoRR abs/2401.02675 (2024) - [i16]Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang:
Large Language Model Adaptation for Networking. CoRR abs/2402.02338 (2024) - [i15]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Bo Li:
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data. CoRR abs/2405.06413 (2024) - [i14]Yili Jin, Xize Duan, Fangxin Wang, Xue Liu:
HeadsetOff: Enabling Photorealistic Video Conferencing on Economical VR Headsets. CoRR abs/2407.19988 (2024) - [i13]Yanjie Dong, Xiaoyi Fan, Fangxin Wang, Chengming Li, Victor C. M. Leung, Xiping Hu:
Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches. CoRR abs/2408.10691 (2024) - [i12]Boyan Li, Yongting Chen, Dayou Zhang, Fangxin Wang:
DeformStream: Deformation-based Adaptive Volumetric Video Streaming. CoRR abs/2409.16615 (2024) - [i11]Jiahao Zheng, Jinke Ren, Peng Xu, Zhihao Yuan, Jie Xu, Fangxin Wang, Gui Gui, Shuguang Cui:
Generative Semantic Communication for Text-to-Speech Synthesis. CoRR abs/2410.03459 (2024) - 2023
- [j20]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 Things J. 10(17): 15159-15170 (2023) - [j19]Yili Jin, Junhua Liu, Fangxin Wang, Shuguang Cui:
Ebublio: Edge-Assisted Multiuser 360° Video Streaming. IEEE Internet Things J. 10(17): 15408-15419 (2023) - [j18]Linfeng Shen, Fangxin Wang, Feng Wang, Jiangchuan Liu:
Backup Battery Allocation and Workload Migration Against Electrical Load Shedding at Edge. IEEE Internet Things J. 10(19): 16804-16815 (2023) - [j17]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang, Jiangchuan Liu:
Optimizing Efficient Personalized Federated Learning with Hypernetworks at Edge. IEEE Netw. 37(4): 120-126 (2023) - [c38]Rongyu Zhang, Yun Chen, Chenrui Wu, Fangxin Wang:
Cluster-driven GNN-based Federated Recommendation with Biased Message Dropout. ICME 2023: 594-599 - [c37]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. ICME 2023: 660-665 - [c36]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. INFOCOM 2023: 1-10 - [c35]Lei Zhang, Haotian Guo, Yanjie Dong, Fangxin Wang, Laizhong Cui, Victor C. M. Leung:
Collaborative Streaming and Super Resolution Adaptation for Mobile Immersive Videos. INFOCOM 2023: 1-10 - [c34]Miao Zhang, Yifei Zhu, Linfeng Shen, Fangxin Wang, Jiangchuan Liu:
OmniSense: Towards Edge-Assisted Online Analytics for 360-Degree Videos. INFOCOM 2023: 1-10 - [c33]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. ACM Multimedia 2023: 1108-1116 - [c32]Kaiyuan Hu, Yili Jin, Haowen Yang, Junhua Liu, Fangxin Wang:
FSVVD: A Dataset of Full Scene Volumetric Video. MMSys 2023: 410-415 - [c31]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. NOSSDAV 2023: 1-7 - [c30]Junhua Liu, Yuanyuan Wang, Yan Wang, Yufeng Wang, Shuguang Cui, Fangxin Wang:
Mobile Volumetric Video Streaming System through Implicit Neural Representation. EMS@SIGCOMM 2023: 1-7 - [c29]Junhua Liu, Boxiang Zhu, Fangxin Wang, Yili Jin, Wenyi Zhang, Zihan Xu, Shuguang Cui:
CaV3: Cache-assisted Viewport Adaptive Volumetric Video Streaming. VR 2023: 173-183 - [i10]Kaiyuan Hu, Yili Jin, Haowen Yang, Junhua Liu, Fangxin Wang:
FSVVD: A Dataset of Full Scene Volumetric Video. CoRR abs/2303.03599 (2023) - [i9]Rongyu Zhang, Xiaowei Chi, Guiliang Liu, Wenyi Zhang, Yuan Du, Fangxin Wang:
Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation. CoRR abs/2303.15486 (2023) - [i8]Chenrui Wu, Zexi Li, Fangxin Wang, Chao Wu:
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients. CoRR abs/2304.02892 (2023) - [i7]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. CoRR abs/2308.07578 (2023) - [i6]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. CoRR abs/2308.10068 (2023) - [i5]Yili Jin, Kaiyuan Hu, Junhua Liu, Fangxin Wang, Xue Liu:
From Capture to Display: A Survey on Volumetric Video. CoRR abs/2309.05658 (2023) - [i4]Kaiyuan Hu, Yongting Chen, Kaiying Han, Junhua Liu, Haowen Yang, Yili Jin, Boyan Li, Fangxin Wang:
LiveVV: Human-Centered Live Volumetric Video Streaming System. CoRR abs/2310.08205 (2023) - [i3]Duo Wu, Panlong Wu, Miao Zhang, Fangxin Wang:
MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning. CoRR abs/2311.06812 (2023) - [i2]Panlong Wu, Kangshuo Li, Ting Wang, Fangxin Wang:
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models. CoRR abs/2312.15926 (2023) - 2022
- [j16]Wenzao Li, Fangxin Wang, Yuwen Pan, Lei Zhang, Jiangchuan Liu:
Computing Cost Optimization for Multi-BS in MEC by Offloading. Mob. Networks Appl. 27(1): 236-248 (2022) - [j15]Miao Zhang, Yifei Zhu, Jiangchuan Liu, Feng Wang, Fangxin Wang:
CharmSeeker: Automated Pipeline Configuration for Serverless Video Processing. IEEE/ACM Trans. Netw. 30(6): 2730-2743 (2022) - [c28]Dayou Zhang, Kai Shen, Fangxin Wang, Dan Wang, Jiangchuan Liu:
Towards Joint Loss and Bitrate Adaptation in Realtime Video Streaming. ICME 2022: 1-6 - [c27]Ruoyu Zhang, Yutao Zhou, Fangxin Wang, Zhi Wang:
Maxim: DRL-Based Cross-Camera Streaming Configuration for Real-Time Video Analytics. ICME 2022: 1-6 - [c26]Lei Zhang, Yuqing Zhang, Ximing Wu, Fangxin Wang, Laizhong Cui, Zhi Wang, Jiangchuan Liu:
Batch Adaptative Streaming for Video Analytics. INFOCOM 2022: 2158-2167 - [c25]Miao Zhang, Fangxin Wang, Jiangchuan Liu:
CASVA: Configuration-Adaptive Streaming for Live Video Analytics. INFOCOM 2022: 2168-2177 - [c24]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. ACM Multimedia 2022: 1025-1034 - [c23]Yili Jin, Junhua Liu, Fangxin Wang:
Ebublio: Edge Assisted Multi-user 360-Degree Video Streaming. VR Workshops 2022: 600-601 - [i1]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. CoRR abs/2208.04079 (2022) - 2021
- [j14]Fangxin Wang, Jiangchuan Liu, Cong Zhang, Lifeng Sun, Kai Hwang:
Intelligent Edge Learning for Personalized Crowdsourced Livecast: Challenges, Opportunities, and Solutions. IEEE Netw. 35(1): 170-176 (2021) - [j13]Miao Zhang, Fangxin Wang, Yifei Zhu, Jiangchuan Liu, Bo Li:
Serverless Empowered Video Analytics for Ubiquitous Networked Cameras. IEEE Netw. 35(6): 186-193 (2021) - [j12]Fangxin Wang, Jiangchuan Liu, Wei Gong:
Multi-Adversarial In-Car Activity Recognition Using RFIDs. IEEE Trans. Mob. Comput. 20(6): 2224-2237 (2021) - [c22]Linfeng Shen, Fangxin Wang, Feng Wang, Jiangchuan Liu:
Workload Migration across Distributed Data Centers under Electrical Load Shedding. IWQoS 2021: 1-6 - [c21]Xiangxiang Wang, Jiangchuan Liu, Fangxin Wang, Ke Xu:
Demystifying the Relationship Between Network Latency and Mobility on High-Speed Rails: Measurement and Prediction. IWQoS 2021: 1-10 - [c20]Miao Zhang, Fangxin Wang, Yifei Zhu, Jiangchuan Liu, Zhi Wang:
Towards cloud-edge collaborative online video analytics with fine-grained serverless pipelines. MMSys 2021: 80-93 - 2020
- [j11]Fangxin Wang, Miao Zhang, Xiangxiang Wang, Xiaoqiang Ma, Jiangchuan Liu:
Deep Learning for Edge Computing Applications: A State-of-the-Art Survey. IEEE Access 8: 58322-58336 (2020) - [j10]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 Gener. Comput. Syst. 107: 324-332 (2020) - [j9]Fangxin Wang, Yifei Zhu, Feng Wang, Jiangchuan Liu, Xiaoqiang Ma, Xiaoyi Fan:
Car4Pac: Last Mile Parcel Delivery Through Intelligent Car Trip Sharing. IEEE Trans. Intell. Transp. Syst. 21(10): 4410-4424 (2020) - [j8]Fangxin Wang, Wei Gong, Jiangchuan Liu, Kui Wu:
Channel Selective Activity Recognition with WiFi: A Deep Learning Approach Exploring Wideband Information. IEEE Trans. Netw. Sci. Eng. 7(1): 181-192 (2020) - [j7]Fangxin Wang, Cong Zhang, Feng Wang, Jiangchuan Liu, Yifei Zhu, Haitian Pang, Lifeng Sun:
DeepCast: Towards Personalized QoE for Edge-Assisted Crowdcast With Deep Reinforcement Learning. IEEE/ACM Trans. Netw. 28(3): 1255-1268 (2020) - [c19]Fangxin Wang, Feng Wang, Jiangchuan Liu, Ryan Shea, Lifeng Sun:
Intelligent Video Caching at Network Edge: A Multi-Agent Deep Reinforcement Learning Approach. INFOCOM 2020: 2499-2508
2010 – 2019
- 2019
- [j6]Xiaoqiang Ma, Tai Yao, Menglan Hu, Yan Dong, Wei Liu, Fangxin Wang, Jiangchuan Liu:
A Survey on Deep Learning Empowered IoT Applications. IEEE Access 7: 181721-181732 (2019) - [j5]Fangxin Wang, Wei Gong, Jiangchuan Liu:
On Spatial Diversity in WiFi-Based Human Activity Recognition: A Deep Learning-Based Approach. IEEE Internet Things J. 6(2): 2035-2047 (2019) - [j4]Fangxin Wang, Feng Wang, Xiaoqiang Ma, Jiangchuan Liu:
Demystifying the Crowd Intelligence in Last Mile Parcel Delivery for Smart Cities. IEEE Netw. 33(2): 23-29 (2019) - [j3]Fangxin Wang, Xiaoyi Fan, Feng Wang, Jiangchuan Liu:
Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations. IEEE Trans. Mob. Comput. 18(3): 520-533 (2019) - [j2]Xiaoyi Fan, Fangxin Wang, Feng Wang, Wei Gong, Jiangchuan Liu:
When RFID Meets Deep Learning: Exploring Cognitive Intelligence for Activity Identification. IEEE Wirel. Commun. 26(3): 19-25 (2019) - [c18]Yuan Shen, Yunxiao Wang, Fangxin Wang, He Xu, Peng Li:
A Novel Heat-Proof Clothing Design Algorithm Based on Heat Conduction Theory. ICDS 2019: 266-274 - [c17]Wenzao Li, Jianwei Liu, Xi Wu, Fangxin Wang, Jiangchuan Liu:
A Location-Aware Duty Cycle Approach toward Energy-Efficient Mobile Crowdsensing. ICPADS 2019: 562-569 - [c16]Yutao Huang, Feng Wang, Fangxin Wang, Jiangchuan Liu:
DeePar: A Hybrid Device-Edge-Cloud Execution Framework for Mobile Deep Learning Applications. INFOCOM Workshops 2019: 892-897 - [c15]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. INFOCOM 2019: 910-918 - [c14]Haitian Pang, Cong Zhang, Fangxin Wang, Jiangchuan Liu, Lifeng Sun:
Towards Low Latency Multi-viewpoint 360° Interactive Video: A Multimodal Deep Reinforcement Learning Approach. INFOCOM 2019: 991-999 - [c13]Fangxin Wang, Jiangchuan Liu, Wei Gong:
WiCAR: wifi-based in-car activity recognition with multi-adversarial domain adaptation. IWQoS 2019: 19:1-19:10 - [c12]Wenzao Li, Yuwen Pan, Fangxin Wang, Lei Zhang, Jiangchuan Liu:
Toward Optimal Resource Allocation for Task Offloading in Mobile Edge Computing. QSHINE 2019: 50-62 - 2018
- [c11]Yutao Huang, Yifei Zhu, Xiaoyi Fan, Xiaoqiang Ma, Fangxin Wang, Jiangchuan Liu, Ziyi Wang, Yong Cui:
Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning. ICCCN 2018: 1-9 - [c10]Yuchi Chen, Wei Gong, Jiangchuan Liu, Fangxin Wang, Haitian Pang:
Sensing Power Spectrum Density of True Ultrasounds on Mobile Devices. IWQoS 2018: 1-2 - [c9]Yiting He, Xiaoyi Fan, Feng Wang, Fangxin Wang, Jiangchuan Liu:
Edge Computing Empowered Generative Adversarial Networks for Realtime Road Sensing. IWQoS 2018: 1-2 - [c8]Fangxin Wang, Yifei Zhu, Feng Wang, Jiangchuan Liu:
Ridesharing as a Service: Exploring Crowdsourced Connected Vehicle Information for Intelligent Package Delivery. IWQoS 2018: 1-10 - [c7]Jihong Yu, Wei Gong, Jiangchuan Liu, Lin Chen, Fangxin Wang, Haitian Pang:
Practical Key Tag Monitoring in RFID Systems. IWQoS 2018: 1-2 - [c6]Cong Zhang, Jiangchuan Liu, Haitian Pang, Fangxin Wang:
Highlight-Aware Content Placement in Crowdsourced Livecast Services. IWQoS 2018: 1-2 - [c5]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. ACM Multimedia 2018: 1217-1225 - 2017
- [c4]Fangxin Wang, Feng Wang, Xiaoyi Fan, Jiangchuan Liu:
BatAlloc: Effective Battery Allocation against Power Outage for Cellular Base Stations. e-Energy 2017: 234-241 - 2016
- [j1]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 Trans. Netw. 24(6): 3537-3550 (2016) - [c3]Dan Li, Syed Shah-e-Mardan Ali Rizvi, Fangxin Wang, Wu He:
DVMP: Incremental traffic-aware VM placement on heterogeneous servers in data centers. IWQoS 2016: 1-10 - 2015
- [c2]Fangxin Wang, Ruilin Ling, Jing Zhu, Dan Li:
Bandwidth guaranteed virtual network function placement and scaling in datacenter networks. IPCCC 2015: 1-8 - 2013
- [c1]Fangxin Wang, Wei Pan, Lifeng Wu, Yong Guan:
An introduction to the variable neighborhood and the related adaptive determination algorithm. GrC 2013: 326-331
Coauthor Index
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last updated on 2024-12-02 22:26 CET by the dblp team
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