Yongkang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 77

Top Venues

CoRR

WFCS

ITSC

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Yongkang Liu, Donghui Pan, Haifeng Zhang, Kai Zhong
Degradation-Trend-Aware Deep Neural Network With Attention Mechanism for Bearing Remaining Useful Life Prediction. IEEE Trans. Artif. Intell. 5 (6) (2024)
Lei Guo, Yongkang Liu, Youxi Wu, Guizhi Xu
FPGA-based small-world spiking neural network with anti-interference ability under external noise. Neural Comput. Appl. 36 (20) (2024)
Yongkang Liu, Donghui Pan, Yongbin Liu
Structural-Guided Interaction and Attention-Enhancing Compensation Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 73 (2024)
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform. IEEE Intell. Transp. Syst. Mag. 15 (2) (2023)
Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han
Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. IV (2023)
Yongkang Liu, Chianing Wang, Kentaro Oguchi
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles. sec (2023)
Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR. IEEE Trans. Intell. Transp. Syst. 24 (9) (2023)
Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda
Distracted driving detection based on the fusion of deep learning and causal reasoning. Inf. Fusion 89 (2023)
Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models. PLANS (2023)
Seyhan Ucar, Sachin Sharma, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Richard T. Meyer
Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions. SECON (2023)
Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
Evaluate What You Can't Evaluate: Unassessable Generated Responses Quality. CoRR (2023)
Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
An Understanding-oriented Robust Machine Reading Comprehension Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (1) (2023)
Guangqing Chen, Shikai Wang, Yongkang Liu, Jinju Li, Gaobin Qin, Jidai Wang, Aiqin Sun, Liang Yuan
Research on Transmission Line Hardware Identification Based on Improved YOLOv5 and DeblurGANv2. IEEE Access 11 (2023)
Yongkang Liu, Mohamad Omar Al Kalaa
Testbed as a RegUlatory Science Tool (TRUST): A Testbed Design for Evaluating 5G-Enabled Medical Devices. IEEE Access 11 (2023)
Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schütze
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. ACL (1) (2023)
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation. CoRR (2023)
Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation. CoRR (2022)
Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma
An Understanding-Oriented Robust Machine Reading Comprehension Model. CoRR (2022)
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. CoRR (2022)
Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. IV (2022)
Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
Deep Understanding based Multi-Document Machine Reading Comprehension. CoRR (2022)
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. CoRR (2022)
Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR. CoRR (2022)
Yongkang Liu, Xuewei Qi, Emrah Akin Sisbot, Kentaro Oguchi
Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network. IV (2022)
Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection. CoRR (2022)
Jiahe Cao, Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras. ITSC (2022)
Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Aggressive Driving Detection on Other Vehicles. VTC Fall (2022)
Yongkang Liu, Donghui Pan, Haifeng Zhang, Kai Zhong
Remaining Useful Life Prediction of Bearing via a Double Attention-Based Deep Neural Network. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao
Continual Reinforcement Learning with Group Symmetries. CoRR (2022)
Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
Demo: Nearby Aggressive Driving Detection. SEC (2022)
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. CoRR (2022)
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection. CoRR (2022)
Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. CoRR (2022)
Yongkang Liu, Qingbao Huang, Jing Li, Linzhang Mo, Yi Cai, Qing Li
SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Yongkang Liu, Shi Feng, Daling Wang, Hinrich Schütze, Yifei Zhang
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. CoRR (2022)
Muhammad Umar Bin Farooq, Marvin Manalastas, Haneya Naeem Qureshi, Yongkang Liu, Ali Imran, Mohamad Omar Al Kalaa
MDT-based Intelligent Route Selection for 5G-Enabled Connected Ambulances. HealthCom (2022)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Trans. Intell. Veh. 7 (2) (2022)
Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. IV (2022)
Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang
Deep Understanding Based Multi-Document Machine Reading Comprehension. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21 (5) (2022)
Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda
An enhanced driver's risk perception modeling based on gate recurrent unit network. IV (2022)
Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi
PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. ITSC (2022)
Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation. COLING (2022)
Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection. EMNLP (2022)
Mohamed Kashef, Yongkang Liu, Karl Montgomery, Richard Candell
Wireless Cyber-Physical System Performance Evaluation Through a Graph Database Approach. J. Comput. Inf. Sci. Eng. 21 (2) (2021)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. CoRR (2021)
Jing Geng, Mohamed Kashef, Richard Candell, Yongkang Liu, Karl Montgomery, Shuvra S. Bhattacharyya
Feature Extraction and Classification for Communication Channels in Wireless Mechatronic Systems. WFCS (2021)
Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training. AAAI (2021)
Jing Li, Qingbao Huang, Yi Cai, Yongkang Liu, Mingyi Fu, Qing Li
Topic-level knowledge sub-graphs for multi-turn dialogue generation. Knowl. Based Syst. 234 (2021)
Richard Candell, Yongkang Liu, Mohamed Kashef, Karl Montgomery, Sebti Foufou
Smart Manufacturing Testbed for the Advancement of Wireless Adoption in the Factory. PLM (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. IV (2020)
Richard Candell, Mohamed Kashef, Yongkang Liu, Karl Montgomery, Sebti Foufou
A Graph Database Approach to Wireless IIoT Workcell Performance Evaluation. ICIT (2020)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. IV (2020)
Yongkang Liu, Wenzhong Wu, Xiao Chen, Minghua Wu, Gang Hu, Guoxing Zhou, Zhongqiu Wang, Rong Chen
Aberrant Correlation Between the Default Mode and Salience Networks in Mild Traumatic Brain Injury. Frontiers Comput. Neurosci. 14 (2020)
Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training. CoRR (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR (2020)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. CoRR (2020)
Jing Geng, Honglei Li, Mohamed Kashef, Yongkang Liu, Richard Candell, Shuvra S. Bhattacharyya
Integrating Field Measurements into a Model-Based Simulator for Industrial Communication Networks. WFCS (2020)
Yongkang Liu, John H. L. Hansen
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information. ITSC (2019)
Honglei Li, Jing Geng, Yongkang Liu, Mohamed Kashef, Richard Candell, Shuvra S. Bhattacharyya
Design Space Exploration for Wireless-Integrated Factory Automation Systems. WFCS (2019)
Yongkang Liu, Richard Candell, Mohamed Kashef, Karl Montgomery
A Collaborative Work Cell Testbed for Industrial Wireless Communications - The Baseline Design. ISIE (2019)
Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. ITSC (2019)
Mohamed Kashef, Richard Candell, Yongkang Liu
Clustering and Representation of Time-Varying Industrial Wireless Channel Measurements. IECON (2019)
Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. CoRR (2019)
Yongkang Liu, Mohamed Kashef, Kang B. Lee, Lotfi Benmohamed, Richard Candell
Wireless Network Design for Emerging IIoT Applications: Reference Framework and Use Cases. Proc. IEEE 107 (6) (2019)
Richard Candell, Karl Montgomery, Mohamed Kashef, Yongkang Liu, Sebti Foufou
Wireless Interference Estimation Using Machine Learning in a Robotic Force-Seeking Scenario. ISIE (2019)
Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang
Neural Relation Classification with Text Descriptions. COLING (2018)
Rong Wang, Yongkang Liu, Mengnan Hu
The Research on Shape Context Based on Gait Sequence Image. Int. J. Multim. Data Eng. Manag. 9 (2) (2018)
Lingfeng Pan, Yi Zhang, Feiliang Ren, Yining Hou, Yan Li, Xiaobo Liang, Yongkang Liu
A Multiple Utterances based Neural Network Model for Joint Intent Detection and Slot Filling. CCKS Tasks (2018)
Yongkang Liu, Richard Candell, Mohamed Kashef, Lotfi Benmohamed
Dimensioning wireless use cases in Industrial Internet of Things. WFCS (2018)
Jing Geng, Honglei Li, Yanzhou Liu, Yongkang Liu, Mohamed Kashef, Richard Candell, Shuvra S. Bhattacharyya
Model-based cosimulation for industrial wireless networks. WFCS (2018)
Yongkang Liu, Xiaobo Liang, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan
An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention. CCKS Tasks (2018)
Feiliang Ren, Yining Hou, Yan Li, Lingfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu
TechKG: A Large-Scale Chinese Technology-Oriented Knowledge Graph. CoRR (2018)
Yang Zheng, Yongkang Liu, John H. L. Hansen
Intent detection and semantic parsing for navigation dialogue language processing. ITSC (2017)
Mengnan Hu, Yongkang Liu, Rong Wang
The Research of Multi-angle Face Detection Based on Multi-feature Fusion. ICIG (1) (2017)
Yang Zheng, Yongkang Liu, John H. L. Hansen
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue. Intelligent Vehicles Symposium (2017)
Yujie Tang, Yongkang Liu, Ning Zhang, Jon W. Mark, Xuemin (Sherman) Shen
Cluster-based coordination scheme for cooperative cognitive radio networks. Wirel. Commun. Mob. Comput. 16 (9) (2016)
Yongkang Liu, Richard Candell, Kang Lee, Nader Moayeri
A simulation framework for industrial wireless networks and process control systems. WFCS (2016)
Haibo Zhou, Bo Liu, Yongkang Liu, Ning Zhang, Lin Gui, Ying Li, Xuemin (Sherman) Shen, Quan Yu
A Cooperative Matching Approach for Resource Management in Dynamic Spectrum Access Networks. IEEE Trans. Wirel. Commun. 13 (2) (2014)
Jianchao Zheng, Yueming Cai, Yongkang Liu, Yuhua Xu, Bowen Duan, Xuemin Shen
Optimal Power Allocation and User Scheduling in Multicell Networks: Base Station Cooperation Using a Game-Theoretic Approach. IEEE Trans. Wirel. Commun. 13 (12) (2014)
Zhiguo Shi, Yongkang Liu, Shaohua Hong, Jiming Chen, Xuemin Shen
POSE: Design of Hardware-Friendly Particle-Based Observation Selection PHD Filter. IEEE Trans. Ind. Electron. 61 (4) (2014)
Yongkang Liu, Tianyao Wang, Xiao Chen, Jianhua Zhang, Guoxing Zhou, Zhongqiu Wang, Rong Chen
Tract-Based Bayesian Multivariate Analysis of Mild Traumatic Brain Injury. Comput. Math. Methods Medicine 2014 (2014)
Zi Wang, Ju Liu, Wenbo Wan, Jiande Sun, Jun Bo, Yongkang Liu
Security Monitoring by Watermarking and Hashing for Multimedia Service on Internet Platform. IIH-MSP (2014)
Lin X. Cai, Yongkang Liu, Tom H. Luan, Xuemin (Sherman) Shen, Jon W. Mark, H. Vincent Poor
Sustainability Analysis and Resource Management for Wireless Mesh Networks with Renewable Energy Supplies. IEEE J. Sel. Areas Commun. 32 (2) (2014)
Shimin Gong, Ping Wang, Yongkang Liu, Weihua Zhuang
Robust power control in cognitive radio networks with channel uncertainty. WCNC (2013)
Yujie Tang, Yongkang Liu, Jon W. Mark, Xuemin Shen
Spectrum sharing strategy using bipartite matching for cooperative cognitive radio networks. GLOBECOM (2013)
Yongkang Liu, Lin X. Cai, Xuemin Shen, Hongwei Luo
Deploying cognitive cellular networks under dynamic resource management. IEEE Wirel. Commun. 20 (2) (2013)
Shimin Gong, Ping Wang, Yongkang Liu, Weihua Zhuang
Robust Power Control with Distribution Uncertainty in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 31 (11) (2013)
Yongkang Liu, Lin X. Cai, Xuemin (Sherman) Shen
Spectrum-Aware Opportunistic Routing in Multi-Hop Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 30 (10) (2012)
Lin X. Cai, Yongkang Liu, Tom H. Luan, Xuemin Shen, Jon W. Mark, H. Vincent Poor
Adaptive Resource Management in Sustainable Energy Powered Wireless Mesh Networks. GLOBECOM (2011)
Yongkang Liu, Lin X. Cai, Xuemin Shen
Joint Channel Selection and Opportunistic Forwarding in Multi-Hop Cognitive Radio Networks. GLOBECOM (2011)
Yongkang Liu, Lin X. Cai, Xuemin Shen, Jon W. Mark
Exploiting Heterogeneity Wireless Channels for Opportunistic Routing in Dynamic Spectrum Access Networks. ICC (2011)
Lin X. Cai, H. Vincent Poor, Yongkang Liu, Tom H. Luan, Xuemin Shen, Jon W. Mark
Dimensioning network deployment and resource management in green mesh networks. IEEE Wirel. Commun. 18 (5) (2011)
Lin X. Cai, Yongkang Liu, Xuemin Shen, Jon W. Mark, Dongmei Zhao
Distributed QoS-Aware MAC for Multimedia over Cognitive Radio Networks. GLOBECOM (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongkang Liu