2024
TreeCN: Time Series Prediction With the Tree Convolutional Network for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., May, 2024
Optimization of spatial-temporal graph: A taxi demand forecasting model based on spatial-temporal tree.
Inf. Fusion, April, 2024
A weak Galerkin method for the nonlinear Navier-Stokes problem.
Comput. Appl. Math., February, 2024
ST-TDCN: A two-channel tree-structure spatial-temporal convolutional network model for traffic velocity prediction.
Expert Syst. Appl., 2024
Progress and prospects of future urban health status prediction.
Eng. Appl. Artif. Intell., 2024
Data-Efficient Low-Complexity Acoustic Scene Classification via Distilling and Progressive Pruning.
CoRR, 2024
AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection.
CoRR, 2024
CIPO: Efficient, lightweight and programmable packet scheduling.
Comput. Networks, 2024
A transportation Revitalization index prediction model based on Spatial-Temporal attention mechanism.
Adv. Eng. Informatics, 2024
A Conducted Compromising Emanations Method on High-Speed USB Devices via USB Hubs.
Proceedings of the IEEE Symposium on Computers and Communications, 2024
HID Detector: A New Detection Framework Against HID Attacks Based on Behavior Features.
Proceedings of the IEEE Symposium on Computers and Communications, 2024
MT-CNN: A Lightweight Spatial-Temporal Convolutional Neural Network for Deep Learning of Complex Trajectory Distributions based on Area Partitioning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Exploring Large Scale Pre-Trained Models for Robust Machine Anomalous Sound Detection.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the IEEE International Conference on Acoustics, 2024
Meta Analysis of Traffic Safety Prediction.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
STDFN: A Taxi Flow Prediction Model Based on Spatial-Temporal Data Fusion.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
A Deep Spatial-Temporal Model Based on Discrete Wavelet Transform for Traffic Flow Forecasting.
Proceedings of the Twelfth International Conference on Advanced Cloud and Big Data, 2024
2023
Fast autoregressive tensor decomposition for online real-time traffic flow prediction.
Knowl. Based Syst., December, 2023
Deep spatial-temporal travel time prediction model based on trajectory feature.
Comput. Electr. Eng., September, 2023
A new approach to COVID-19 data mining: A deep spatial-temporal prediction model based on tree structure for traffic revitalization index.
Data Knowl. Eng., July, 2023
GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading.
IEEE Trans. Netw. Serv. Manag., June, 2023
Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on Discrete Wavelet Transformation.
ACM Trans. Knowl. Discov. Data, June, 2023
DeepSTF: A Deep Spatial-Temporal Forecast Model of Taxi Flow.
Comput. J., March, 2023
Taxi travel time prediction based on fusion of traffic condition features.
Comput. Electr. Eng., January, 2023
Multi-attribute Graph Convolution Network for Regional Traffic Flow Prediction.
Neural Process. Lett., 2023
A Novel Perspective on Travel Demand Prediction Considering Natural Environmental and Socioeconomic Factors.
IEEE Intell. Transp. Syst. Mag., 2023
A novel LightGBM-based industrial internet intrusion detection method.
Int. J. Comput. Appl. Technol., 2023
A Spatio-Temporal Tree and Gauss Convolutional Network for Traffic Flow Forecasting.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
Neighbor-Discovery Recurrent Model for Point-of-Interest Recommendation.
Proceedings of the 6th International Conference on Big Data Technologies, 2023
2022
A weak Galerkin method with rectangle partitions for the Signorini problem.
Comput. Appl. Math., July, 2022
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic.
Adv. Eng. Informatics, 2022
Socially Acceptable Trajectory Prediction for Scene Pedestrian Gathering Area.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
Prediction of Cancellation Probability of Online Car-Hailing Orders Based on Multi-source Heterogeneous Data Fusion.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
A Spatial-Temporal Convolutional Model with Improved Graph Representation.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
MEBV: Resource Optimization for Packet Classification Based on Mapping Encoding Bit Vectors.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022
Multi-region SRAM-Based TCAM for Longest Prefix.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022
MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Fake Audio Detection Based On Unsupervised Pretraining Models.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Blind Travel Prediction Based on Obstacle Avoidance in Indoor Scene.
Wirel. Commun. Mob. Comput., 2021
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.
,
,
,
,
,
,
,
,
,
,
,
,
,
Proc. VLDB Endow., 2021
Keyword Search Based on Unsupervised Pre-Trained Acoustic Models.
Int. J. Asian Lang. Process., 2021
DeepPTP: A Deep Pedestrian Trajectory Prediction Model for Traffic Intersection.
KSII Trans. Internet Inf. Syst., 2021
Deep learning in the COVID-19 epidemic: A deep model for urban traffic revitalization index.
Data Knowl. Eng., 2021
VRM-Phase I VKW system description of long-short video customizable keyword wakeup challenge.
CoRR, 2021
A graph spatial-temporal model for predicting population density of key areas.
Comput. Electr. Eng., 2021
DDCAttNet: Road Segmentation Network for Remote Sensing Images.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
Temporal Attention-Based Graph Convolution Network for Taxi Demand Prediction in Functional Areas.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
Parallel Computing of Spatio-Temporal Model Based on Deep Reinforcement Learning.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
MFAGCN: Multi-Feature Based Attention Graph Convolutional Network for Traffic Prediction.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
The TNT Team System Descriptions of Cantonese and Mongolian for IARPA OpenASR20.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Multimodal Traffic Travel Time Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021
A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning.
Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021
Spatial and Dual-channel Temporal Convolution Networks: A Novel Method for Speed Forecasting.
Proceedings of the ACM TURC 2021: ACM Turing Award Celebration Conference - Hefei, China, 30 July 2021, 2021
2020
Traffic Flow Prediction Model Based on Spatio-Temporal Dilated Graph Convolution.
KSII Trans. Internet Inf. Syst., 2020
A Deep Spatial-Temporal Network for Vehicle Trajectory Prediction.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020
Estimation of Short-Term Online Taxi Travel Time Based on Neural Network.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2020
Novel design of Hardware Trojan: A generic approach for defeating testability based detection.
Proceedings of the 19th IEEE International Conference on Trust, 2020
Depthwise Separable Convolutional Neural Network for Confidential Information Analysis.
Proceedings of the Knowledge Science, Engineering and Management, 2020
Similarity of Binaries Across Optimization Levels and Obfuscation.
Proceedings of the Computer Security - ESORICS 2020, 2020
2019
Multimedia Simultaneous Translation System for Minority Language Communication with Mandarin.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Verifying Deep Keyword Spotting Detection with Acoustic Word Embeddings.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2018
Low-resource Tibetan Dialect Acoustic Modeling Based on Transfer Learning.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018
Investigating the Use of Mixed-Units Based Modeling for Improving Uyghur Speech Recognition.
Proceedings of the 6th Intl. Workshop on Spoken Language Technologies for Under-Resourced Languages, 2018
AdvRefactor: A Resampling-Based Defense Against Adversarial Attacks.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
2017
An LSTM-CTC based verification system for proxy-word based OOV keyword search.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
MR raster positioning analysis and precise planning application.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016
Using LAU information in mobile communication for high-speed user selection.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016
A Novel Discriminative Score Calibration Method for Keyword Search.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
The THUEE system for the openKWS14 keyword search evaluation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Improved system fusion for keyword search.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015
High-performance Swahili keyword search with very limited language pack: The THUEE system for the OpenKWS15 evaluation.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015
Calibration of word posterior estimation in confusion networks for keyword search.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015
2013
Unlabeled Sample Reduction in Semi-supervised Graph-Based Band Selection for Hyperspectral Image Classification.
Proceedings of the Seventh International Conference on Image and Graphics, 2013
2012
Using self-training and graph laplacian in semi-supervised band selection for hyperspectral image classification.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012