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Weixi Gu
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2020 – today
- 2024
- [j11]Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu:
When game theory meets satellite communication networks: A survey. Comput. Commun. 217: 208-229 (2024) - [j10]Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu:
ML-based pre-deployment SDN performance prediction with neural network boosting regression. Expert Syst. Appl. 241: 122774 (2024) - [j9]Shang Liu, Miao He, Zhiqiang Wu, Peng Lu, Weixi Gu:
Spatial-temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks. Inf. Fusion 103: 102079 (2024) - [c40]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. IPSN 2024: 283-284 - [i3]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios. CoRR abs/2402.01723 (2024) - 2023
- [j8]Weiwei Jiang, Jiayun Luo, Miao He, Weixi Gu:
Graph Neural Network for Traffic Forecasting: The Research Progress. ISPRS Int. J. Geo Inf. 12(3): 100 (2023) - [c39]Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang:
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. CIKM 2023: 3505-3513 - [c38]Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu:
Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network. UbiComp/ISWC Adjunct 2023: 694-699 - [c37]Weiwei Jiang, Haoyu Han, Yang Zhang, Miao He, Weixi Gu:
Matching Games in Satellite-Terrestrial Integrated Networks: Who to Match and How to Match? ICCIP 2023: 284-288 - [c36]Weiwei Jiang, Haoyu Han, Yang Zhang, Xu Li, Miao He, Weixi Gu:
Rise of Community-driven Communication Network Research. ICCIP 2023: 308-312 - [c35]Wei Chen, Huaijin Wang, Weixi Gu, Shuai Wang:
RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing. ISC 2023: 99-118 - [c34]Runze Lian, Weixi Gu, Dongxing Zhang:
Application of LSTM Networks in the Temporal Analysis and Prediction of Earth Pressure Balance Shield Parameter. RICAI 2023: 780-789 - [c33]Miao He, Weiwei Jiang, Weixi Gu:
Making Wines Smarter: Evidence from an Interpretable Learning Paradigm. SECON 2023: 60-65 - [c32]Jiahua Liu, Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu:
Satellite Internet of Things for Smart Agriculture Applications: A Case Study of Computer Vision. SECON 2023: 66-71 - [c31]Jiahua Liu, Weiwei Jiang, Haoyu Han, Miao He, Weixi Gu:
Drought Level Prediction Based on Meteorological Data and Deep Learning. SECON 2023: 74-75 - [i2]Wenshuo Chen, Xiang Zhou, Zhengdi Yu, Zhaoyu Zheng, Weixi Gu, Kai Zhang:
Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training. CoRR abs/2305.18743 (2023) - [i1]Wei Chen, Huaijin Wang, Weixi Gu, Shuai Wang:
RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing. CoRR abs/2310.02609 (2023) - 2022
- [j7]Guowei Zhu, Weixi Gu:
User Mapping Strategy in Multi-CDN Streaming: A Data-Driven Approach. IEEE Internet Things J. 9(9): 6638-6649 (2022) - [c30]Fei Ma, Weixi Gu, Shiguang Ni, Lin Zhang:
Poster Abstract: Representation Learning from Multimodal Sensor Data with Maximally Correlated Autoencoders. IPSN 2022: 513-514 - [c29]Wenying Qiu, Weixi Gu:
Research and analysis of sensor synergy based on Artificial Intelligence. WAC 2022: 467-470 - [c28]Wenying Qiu, Weixi Gu:
Research on Algorithm of big data sensor anomaly diagnosis. WAC 2022: 475-479 - 2020
- [j6]Miao He, Weixi Gu, Ying Kong, Lin Zhang, Costas J. Spanos, Khalid M. Mosalam:
CausalBG: Causal Recurrent Neural Network for the Blood Glucose Inference With IoT Platform. IEEE Internet Things J. 7(1): 598-610 (2020) - [j5]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Mining Regional Mobility Patterns for Urban Dynamic Analytics. Mob. Networks Appl. 25(2): 459-473 (2020) - [c27]Ge Ma, Weixi Gu, Qiyang Huang, Guowei Zhu, Kan Lv, Yujia Li:
Anomaly detection for mobile devices in industrial internet. UbiComp/ISWC Adjunct 2020: 75-77 - [c26]Ge Ma, Qiyang Huang, Weixi Gu:
Collaborative edge-network content replication: a joint user preference and mobility approach. UbiComp/ISWC Adjunct 2020: 560-567 - [c25]Guowei Zhu, Kan Lv, Ge Ma, Weixi Gu:
Relay strategy in online mobile games: a data-driven approach. UbiComp/ISWC Adjunct 2020: 605-615 - [c24]Ge Ma, Rongsheng Xue, Weixi Gu:
An incentive mechanism design for resource collection in crowdsourced CDN: poster abstract. SenSys 2020: 657-658 - [c23]Ge Ma, Tao Yu, Guowei Zhu, Kan Lv, Qiyang Huang, Weixi Gu:
APPLE: a new compression scheme for bitmap indexes: poster abstract. SenSys 2020: 663-664
2010 – 2019
- 2019
- [c22]Miao He, Weixi Gu, Ying Kong, Lin Zhang:
Identifying causal patterns from mobile sensing data: a case study on blood glucose inference. UbiComp/ISWC Adjunct 2019: 77-80 - [c21]Miao He, Weixi Gu, Yuxun Zhou, Ying Kong, Lin Zhang:
Causal feature selection for physical sensing data: a case study on power events prediction. UbiComp/ISWC Adjunct 2019: 565-570 - 2018
- [j4]Ruoxi Jia, Baihong Jin, Ming Jin, Yuxun Zhou, Ioannis C. Konstantakopoulos, Han Zou, Joyce Kim, Dan Li, Weixi Gu, Reza Arghandeh, Pierluigi Nuzzo, Stefano Schiavon, Alberto L. Sangiovanni-Vincentelli, Costas J. Spanos:
Design Automation for Smart Building Systems. Proc. IEEE 106(9): 1680-1699 (2018) - [c20]Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
WiFi-Based Human Identification via Convex Tensor Shapelet Learning. AAAI 2018: 1711-1719 - [c19]Yuxun Zhou, Han Zou, Reza Arghandeh, Weixi Gu, Costas J. Spanos:
Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis. AAAI 2018: 4605-4612 - [c18]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Joint Mobility Pattern Mining with Urban Region Partitions. MobiQuitous 2018: 362-371 - [c17]Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang:
Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. SenSys 2018: 363-364 - [c16]Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang:
Multimodal Emotion Recognition by extracting common and modality-specific information. SenSys 2018: 396-397 - [c15]Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang:
Attention-based LSTM-CNNs For Time-series Classification. SenSys 2018: 410-411 - [c14]Weixi Gu, Yue Zhang, Fei Ma, Khalid M. Mosalam, Lin Zhang, Shiguang Ni:
Real-Time Emotion Detection via E-See. SenSys 2018: 420-421 - 2017
- [j3]Weixi Gu, Yuxun Zhou, Zimu Zhou, Xi Liu, Han Zou, Pei Zhang, Costas J. Spanos, Lin Zhang:
SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 54:1-54:27 (2017) - [c13]Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
FreeCount: Device-Free Crowd Counting with Commodity WiFi. GLOBECOM 2017: 1-6 - [c12]Weixi Gu, Yunxin Liu, Yuxun Zhou, Zimu Zhou, Costas J. Spanos, Lin Zhang:
BikeSafe: bicycle behavior monitoring via smartphones. UbiComp/ISWC Adjunct 2017: 45-48 - [c11]Miao He, Weixi Gu, Ying Kong:
Group recommendation: by mining users' check-in behaviors. UbiComp/ISWC Adjunct 2017: 65-68 - [c10]Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition. ICMLA 2017: 268-274 - [c9]Weixi Gu:
Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract. IPSN 2017: 249-250 - [c8]Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
Poster: WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning. MobiCom 2017: 606-608 - [c7]Weixi Gu, Zimu Zhou, Yuxun Zhou, Han Zou, Yunxin Liu, Costas J. Spanos, Lin Zhang:
BikeMate: Bike Riding Behavior Monitoring with Smartphones. MobiQuitous 2017: 313-322 - [c6]Han Zou, Yuxun Zhou, Jianfei Yang, Weixi Gu, Lihua Xie, Costas J. Spanos:
FreeDetector: Device-Free Occupancy Detection with Commodity WiFi. SECON Workshops 2017: 14-18 - [c5]Weixi Gu, Zimu Zhou, Yuxun Zhou, Miao He, Han Zou, Lin Zhang:
Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning. SenSys 2017: 55:1-55:2 - 2016
- [j2]Weixi Gu, Longfei Shangguan, Zheng Yang, Yunhao Liu:
Sleep Hunter: Towards Fine Grained Sleep Stage Tracking with Smartphones. IEEE Trans. Mob. Comput. 15(6): 1514-1527 (2016) - [c4]Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang:
MetroEye: towards fine-grained passenger tracking underground. UbiComp Adjunct 2016: 77-80 - [c3]Weixi Gu, Ming Jin, Zimu Zhou, Costas J. Spanos, Lin Zhang:
MetroEye: Smart Tracking Your Metro Trips Underground. MobiQuitous 2016: 84-93 - 2014
- [j1]Zheng Yang, Longfei Shangguan, Weixi Gu, Zimu Zhou, Chenshu Wu, Yunhao Liu:
Sherlock: Micro-Environment Sensing for Smartphones. IEEE Trans. Parallel Distributed Syst. 25(12): 3295-3305 (2014) - [c2]Weixi Gu, Zheng Yang, Longfei Shangguan, Wei Sun, Kun Jin, Yunhao Liu:
Intelligent sleep stage mining service with smartphones. UbiComp 2014: 649-660 - [c1]Weixi Gu, Zheng Yang, Longfei Shangguan, Xiaoyu Ji, Yiyang Zhao:
ToAuth: Towards Automatic Near Field Authentication for Smartphones. TrustCom 2014: 229-236
Coauthor Index
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