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2020 – today
- 2025
[j61]Yexuan Shi, Wei Yu, Yuanyuan Zhang, Chunbo Xue, Yuxiang Zeng, Zimu Zhou, Manxue Guo, Lun Xin, Wenjing Nie:
Towards practical data alignment in production federated learning. Frontiers Comput. Sci. 19(1): 191603 (2025)- [j60]Sicong Liu, Bin Guo, Ziqi Wang, Lehao Wang, Zimu Zhou, Xiaochen Li, Zhiwen Yu:
DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing. Frontiers Comput. Sci. 19(3): 193501 (2025) - 2024
- [j59]Sicong Liu
, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu:
Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey. IEEE Commun. Surv. Tutorials 26(1): 389-427 (2024) - [j58]Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 41:1-41:22 (2024) - [j57]Youbing Hu, Yun Cheng, Zimu Zhou, Zhiqiang Cao, Anqi Lu, Jie Liu, Min Zhang, Zhijun Li:
RAPNet: Resolution-Adaptive and Predictive Early Exit Network for Efficient Image Recognition. IEEE Internet Things J. 11(20): 33492-33507 (2024) - [j56]Shuyue Wei, Yuanyuan Zhang, Zimu Zhou, Tianlong Zhang, Ke Xu:
FedSM: A Practical Federated Shared Mobility System. Proc. VLDB Endow. 17(12): 4445-4448 (2024) - [j55]Shuyuan Li, Yuxiang Zeng, Yuxiang Wang, Yiman Zhong, Zimu Zhou, Yongxin Tong:
An Experimental Study on Federated Equi-Joins. IEEE Trans. Knowl. Data Eng. 36(9): 4443-4457 (2024) - [j54]Yuxiang Wang, Yuxiang Zeng, Shuyuan Li, Yuanyuan Zhang, Zimu Zhou, Yongxin Tong:
Efficient and Private Federated Trajectory Matching. IEEE Trans. Knowl. Data Eng. 36(12): 8079-8092 (2024) - [j53]Kun Wang, Jiani Cao, Zimu Zhou, Zhenjiang Li:
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget. IEEE Trans. Mob. Comput. 23(9): 8935-8950 (2024) - [j52]Zhiqiang Cao, Yun Cheng, Zimu Zhou, Anqi Lu, Youbing Hu, Jie Liu, Min Zhang, Zhijun Li:
Patching in Order: Efficient On-Device Model Fine-Tuning for Multi-DNN Vision Applications. IEEE Trans. Mob. Comput. 23(12): 14484-14501 (2024) - [c77]Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu:
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. AdaAIoTSys@MobiSys 2024: 1-6 - [c76]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye:
Graph-constrained diffusion for End-to-End Path Planning. ICLR 2024 - [c75]Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong:
CASA: Clustered Federated Learning with Asynchronous Clients. KDD 2024: 1851-1862 - [c74]Linghua Yang, Wantong Chen, Xiaoxi He, Shuyue Wei, Yi Xu, Zimu Zhou, Yongxin Tong:
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction. KDD 2024: 6105-6116 - [c73]Kun Wang, Zimu Zhou, Zhenjiang Li:
LATTE: Layer Algorithm-aware Training Time Estimation for Heterogeneous Federated Learning. MobiCom 2024: 1470-1484 - [c72]Lixiang Han, Zimu Zhou, Zhenjiang Li:
Pantheon: Preemptible Multi-DNN Inference on Mobile Edge GPUs. MobiSys 2024: 465-478 - [c71]Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu:
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. SenSys 2024: 295-308 - [c70]Yu Li, Yi Zhang, Zimu Zhou, Qiang Li:
DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation. SIGIR 2024: 2114-2123 - [i18]Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control. CoRR abs/2401.15960 (2024) - [i17]Kun Wang, Jiani Cao, Zimu Zhou, Zhenjiang Li:
SwapNet: Efficient Swapping for DNN Inference on Edge AI Devices Beyond the Memory Budget. CoRR abs/2401.16757 (2024) - [i16]Sicong Liu, Wentao Zhou, Zimu Zhou, Bin Guo, Minfan Wang, Cheng Fang, Zheng Lin, Zhiwen Yu:
Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls. CoRR abs/2405.01851 (2024) - [i15]Cheng Fang, Sicong Liu, Zimu Zhou, Bin Guo, Jiaqi Tang, Ke Ma, Zhiwen Yu:
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments. CoRR abs/2410.08256 (2024) - 2023
- [j51]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Boyi Liu, Yexuan Shi, Shuyuan Li, Ke Xu, Weifeng Lv:
Federated Computing: Query, Learning, and Beyond. IEEE Data Eng. Bull. 46(1): 9-26 (2023) - [j50]Yanfei Wang, Zhiwen Yu, Sicong Liu, Zimu Zhou, Bin Guo:
Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(1): 36:1-36:29 (2023) - [j49]Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. IEEE Trans. Knowl. Data Eng. 35(1): 418-430 (2023) - [j48]Yuanyuan Zhang, Yexuan Shi, Zimu Zhou, Chunbo Xue, Yi Xu, Ke Xu, Junping Du:
Efficient and Secure Skyline Queries Over Vertical Data Federation. IEEE Trans. Knowl. Data Eng. 35(9): 9269-9280 (2023) - [j47]Xiaoxi He, Xu Wang, Zimu Zhou, Jiahang Wu, Zheng Yang, Lothar Thiele:
On-Device Deep Multi-Task Inference via Multi-Task Zipping. IEEE Trans. Mob. Comput. 22(5): 2878-2891 (2023) - [j46]Zheng Yang, Xu Wang, Jiahang Wu, Yi Zhao, Qiang Ma, Xin Miao, Li Zhang, Zimu Zhou:
EdgeDuet: Tiling Small Object Detection for Edge Assisted Autonomous Mobile Vision. IEEE/ACM Trans. Netw. 31(4): 1765-1778 (2023) - [c69]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu:
MoEnlight: Energy-efficient and self-adaptive Low-light Video Stream Enhancement on Mobile Devices. ACM TUR-C 2023: 19-20 - [c68]Kaining Zhang, Yongxin Tong, Yexuan Shi, Yuxiang Zeng, Yi Xu, Lei Chen, Zimu Zhou, Ke Xu, Weifeng Lv, Zhiming Zheng:
Approximate k-Nearest Neighbor Query over Spatial Data Federation. DASFAA (1) 2023: 351-368 - [c67]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. ICDE 2023: 776-788 - [c66]Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu:
Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework. ICDE 2023: 869-881 - [c65]Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang:
Distribution-Regularized Federated Learning on Non-IID Data. ICDE 2023: 2113-2125 - [c64]Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao:
Localised Adaptive Spatial-Temporal Graph Neural Network. KDD 2023: 448-458 - [c63]Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong:
DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization. KDD 2023: 3396-3408 - [i14]Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li:
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales. CoRR abs/2302.06470 (2023) - [i13]Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye:
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. CoRR abs/2303.03024 (2023) - [i12]Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao:
Localised Adaptive Spatial-Temporal Graph Neural Network. CoRR abs/2306.06930 (2023) - [i11]Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu:
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey. CoRR abs/2309.15467 (2023) - [i10]Yuxiang Wang, Yuxiang Zeng, Yi Xu, Zimu Zhou, Yongxin Tong:
Efficient and Private Federated Trajectory Matching. CoRR abs/2312.12012 (2023) - 2022
- [j45]Yun Cheng, Zimu Zhou, Lothar Thiele:
iSpray: Reducing Urban Air Pollution with Intelligent Water Spraying. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 4:1-4:29 (2022) - [j44]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu:
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 172:1-172:26 (2022) - [j43]Shu Liu, Kevin Koch, Zimu Zhou, Martin Maritsch, Xiaoxi He, Elgar Fleisch, Felix Wortmann:
Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition. IEEE Internet Things J. 9(14): 11699-11711 (2022) - [j42]Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv:
Hu-Fu: Efficient and Secure Spatial Queries over Data Federation. Proc. VLDB Endow. 15(6): 1159-1172 (2022) - [j41]Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv:
Hu-Fu: A Data Federation System for Secure Spatial Queries. Proc. VLDB Endow. 15(12): 3582-3585 (2022) - [j40]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Ke Xu:
Unified Route Planning for Shared Mobility: An Insertion-based Framework. ACM Trans. Database Syst. 47(1): 2:1-2:48 (2022) - [c62]Yu Li, Yi Zhang, Weijia Wu, Zimu Zhou, Qiang Li:
POSGen: Personalized Opening Sentence Generation for Online Insurance Sales. IEEE Big Data 2022: 1874-1879 - [c61]Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu:
Data Source Selection in Federated Learning: A Submodular Optimization Approach. DASFAA (2) 2022: 606-614 - [c60]Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract). ICDE 2022: 1559-1560 - [c59]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. ICDE 2022: 3327-3339 - [c58]Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding:
Finding Meta Winning Ticket to Train Your MAML. KDD 2022: 411-420 - [c57]Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. KDD 2022: 1441-1451 - [c56]Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv:
Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. KDD 2022: 4079-4089 - [c55]Zeyu Wang, Xiaoxi He, Zimu Zhou, Xu Wang, Qiang Ma, Xin Miao, Zhuo Liu, Lothar Thiele, Zheng Yang:
Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU. SECON 2022: 145-153 - [i9]Wenying Duan, Xiaoxi He, Lu Zhou, Zimu Zhou, Lothar Thiele, Hong Rao:
Hyper Attention Recurrent Neural Network: Tackling Temporal Covariate Shift in Time Series Analysis. CoRR abs/2202.10808 (2022) - [i8]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li:
Adaptive Task Planning for Large-Scale Robotized Warehouses. CoRR abs/2205.00831 (2022) - [i7]Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. CoRR abs/2206.12705 (2022) - [i6]Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haochen Shen, Zhiwen Yu:
AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices. CoRR abs/2211.16135 (2022) - 2021
- [j39]Yexuan Shi, Yongxin Tong, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang:
Federated Topic Discovery: A Semantic Consistent Approach. IEEE Intell. Syst. 36(5): 96-103 (2021) - [j38]Shu Liu, Kevin Koch, Zimu Zhou, Simon Föll, Xiaoxi He, Tina Menke, Elgar Fleisch, Felix Wortmann:
The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 117:1-117:34 (2021) - [j37]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Hui Liu, Zhangyang Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. IEEE Trans. Mob. Comput. 20(12): 3282-3297 (2021) - [c54]Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li:
RevMan: Revenue-aware Multi-task Online Insurance Recommendation. AAAI 2021: 303-310 - [c53]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning Meta-Trained Networks for On-Device Adaptation. CIKM 2021: 514-523 - [c52]Xu Wang, Zheng Yang, Jiahang Wu, Yi Zhao, Zimu Zhou:
EdgeDuet: Tiling Small Object Detection for Edge Assisted Autonomous Mobile Vision. INFOCOM 2021: 1-10 - [c51]Wenying Duan, Xiaoxi He, Zimu Zhou, Hong Rao, Lothar Thiele:
Injecting Descriptive Meta-Information into Pre-Trained Language Models with Hypernetworks. Interspeech 2021: 3216-3220 - [c50]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Pruning-Aware Merging for Efficient Multitask Inference. KDD 2021: 585-595 - [c49]Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang:
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing. KDD 2021: 3549-3557 - [c48]Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu:
A Differentially Private Task Planning Framework for Spatial Crowdsourcing. MDM 2021: 9-18 - [c47]Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong:
Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena. MDM 2021: 19-28 - 2020
- [j36]Xu Wang, Zimu Zhou, Yi Zhao, Xinglin Zhang, Kai Xing, Fu Xiao, Zheng Yang, Yunhao Liu:
Improving Urban Crowd Flow Prediction on Flexible Region Partition. IEEE Trans. Mob. Comput. 19(12): 2804-2817 (2020) - [j35]Yi Zhao, Zimu Zhou, Xu Wang, Tongtong Liu, Zheng Yang:
Urban Scale Trade Area Characterization for Commercial Districts with Cellular Footprints. ACM Trans. Sens. Networks 16(4): 42:1-42:20 (2020) - [j34]Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi:
Spatial crowdsourcing: a survey. VLDB J. 29(1): 217-250 (2020) - [c46]Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-Aware Quantization for Multi-Bit Networks. CVPR 2020: 7985-7994 - [c45]Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu:
Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach. ICDE 2020: 517-528 - [c44]Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele:
MapTransfer : Urban Air Quality Map Generation for Downscaled Sensor Deployments. IoTDI 2020: 14-26 - [c43]Dawei Gao, Xiaoxi He, Zimu Zhou, Yongxin Tong, Ke Xu, Lothar Thiele:
Rethinking Pruning for Accelerating Deep Inference At the Edge. KDD 2020: 155-164 - [p1]Shuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song:
Efficient and Fair Data Valuation for Horizontal Federated Learning. Federated Learning 2020: 139-152 - [i5]Sicong Liu, Junzhao Du, Kaiming Nan, Zimu Zhou, Atlas Wang, Yingyan Lin:
AdaDeep: A Usage-Driven, Automated Deep Model Compression Framework for Enabling Ubiquitous Intelligent Mobiles. CoRR abs/2006.04432 (2020)
2010 – 2019
- 2019
- [j33]Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen:
Interaction Management in Crowdsourcing. IEEE Data Eng. Bull. 42(4): 23-34 (2019) - [j32]Yun Cheng, Xiaoxi He, Zimu Zhou, Lothar Thiele:
ICT: In-field Calibration Transfer for Air Quality Sensor Deployments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 6:1-6:19 (2019) - [j31]Xu Wang, Zimu Zhou, Fu Xiao, Kai Xing, Zheng Yang, Yunhao Liu, Chunyi Peng:
Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis. IEEE Trans. Mob. Comput. 18(9): 2190-2202 (2019) - [j30]Junjie Yin, Zheng Yang, Hao Cao, Tongtong Liu, Zimu Zhou, Chenshu Wu:
A Survey on Bluetooth 5.0 and Mesh: New Milestones of IoT. ACM Trans. Sens. Networks 15(3): 28:1-28:29 (2019) - [c42]Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng:
Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach. AAAI 2019: 2245-2252 - [c41]Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye:
Recommendation-based Team Formation for On-demand Taxi-calling Platforms. CIKM 2019: 59-68 - [c40]Feifei Kou, Zimu Zhou, Hao Cheng, Junping Du, Yexuan Shi, Pan Xu:
Interaction-Aware Arrangement for Event-Based Social Networks. ICDE 2019: 1638-1641 - [c39]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. ICDE 2019: 2133-2134 - [c38]Yi Zhao, Zimu Zhou, Xu Wang, Tongtong Liu, Yunhao Liu, Zheng Yang:
CellTradeMap: Delineating Trade Areas for Urban Commercial Districts with Cellular Networks. INFOCOM 2019: 937-945 - [c37]Balz Maag, Zimu Zhou, Lothar Thiele:
Enhancing Multi-hop Sensor Calibration with Uncertainty Estimates. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 618-625 - [i4]Xiaoxi He, Dawei Gao, Zimu Zhou, Yongxin Tong, Lothar Thiele:
Disentangling Redundancy for Multi-Task Pruning. CoRR abs/1905.09676 (2019) - [i3]Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-aware Quantization for Multi-bit Networks. CoRR abs/1912.08883 (2019) - 2018
- [j29]Balz Maag, Zimu Zhou, Lothar Thiele:
W-Air: Enabling Personal Air Pollution Monitoring on Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(1): 24:1-24:25 (2018) - [j28]Yongpan Zou, Meng Zhao, Zimu Zhou, Jiawei Lin, Mo Li, Kaishun Wu:
BiLock: User Authentication via Dental Occlusion Biometrics. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(3): 152:1-152:20 (2018) - [j27]Balz Maag, Zimu Zhou, Lothar Thiele:
A Survey on Sensor Calibration in Air Pollution Monitoring Deployments. IEEE Internet Things J. 5(6): 4857-4870 (2018) - [j26]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu:
A Unified Approach to Route Planning for Shared Mobility. Proc. VLDB Endow. 11(11): 1633-1646 (2018) - [j25]Yongxin Tong, Zimu Zhou:
Dynamic task assignment in spatial crowdsourcing. ACM SIGSPATIAL Special 10(2): 18-25 (2018) - [j24]Yongxin Tong, Lei Chen, Zimu Zhou, H. V. Jagadish, Lidan Shou, Weifeng Lv:
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 30(8): 1588-1601 (2018) - [j23]Kun Qian, Chenshu Wu, Zheng Yang, Zimu Zhou, Xu Wang, Yunhao Liu:
Enabling Phased Array Signal Processing for Mobile WiFi Devices. IEEE Trans. Mob. Comput. 17(8): 1820-1833 (2018) - [c36]Qian Tao, Yuxiang Zeng, Zimu Zhou, Yongxin Tong, Lei Chen, Ke Xu:
Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing. DASFAA (2) 2018: 301-317 - [c35]Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou:
Latency-Oriented Task Completion via Spatial Crowdsourcing. ICDE 2018: 317-328 - [c34]Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou:
Demand-Aware Charger Planning for Electric Vehicle Sharing. KDD 2018: 1330-1338 - [c33]Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du:
On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework. MobiSys 2018: 389-400 - [c32]Xiaoxi He, Zimu Zhou, Lothar Thiele:
Multi-Task Zipping via Layer-wise Neuron Sharing. NeurIPS 2018: 6019-6029 - [c31]Yongxin Tong, Libin Wang, Zimu Zhou, Lei Chen, Bowen Du, Jieping Ye:
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach. SIGMOD Conference 2018: 773-788 - [i2]Xiaoxi He, Zimu Zhou, Lothar Thiele:
Multi-Task Zipping via Layer-wise Neuron Sharing. CoRR abs/1805.09791 (2018) - 2017
- [j22]Bin Guo, Qi Han, Huihui Chen, Longfei Shangguan, Zimu Zhou, Zhiwen Yu:
The Emergence of Visual Crowdsensing: Challenges and Opportunities. IEEE Commun. Surv. Tutorials 19(4): 2526-2543 (2017) - [j21]Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang:
UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 17:1-17:21 (2017) - [j20]Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele:
SCAN: Multi-Hop Calibration for Mobile Sensor Arrays. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(2): 19:1-19:21 (2017) - [j19]Weixi Gu,