Visual EI

International Refereed Journals

  1. Gaurav Singh, Wu Meiqing, Minh V. Do, and Siew-Kei Lam, “Fast Semantic-Aware Motion State Detection for Visual SLAM in Dynamic Environment”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 12, December 2022 [PDF]
  2. Chengju Zhou, Meiqing Wu, and Siew-Kei Lam, “Enhanced Multi-Task Learning Architecture for Detecting Pedestrian at Far Distance”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 9, September 2022, pp. 15588-15604 [PDF]
  3. Chengju Zhou, Meiqing Wu, and Siew-Kei Lam, “A Unified Multi-task Learning Architecture for Fast and Accurate Pedestrian Detection”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 2, February 2022, pp. 982-996 [PDF]
  4. Wanshun Gao, Meiqing Wu, Siew-Kei Lam, Qihui Xia, and Jianhua Zou, “Decoupled Self-supervised Label Augmentation for Fully-Supervised Image Classification”, Knowledge-based Systems, Vol. 235, January 2022 [PDF]
  5. Wei He, Meiqing Wu, and Siew-Kei Lam, “ACSL: Adaptive Correlation-driven Sparsity Learning for Deep Neural Network Compression”, Neural Networks, Vol. 144, December 2021, pp. 465-477 [PDF]
  6. Chengju Zhou, Meiqing Wu, and Siew-Kei Lam, “Group Cost-sensitive BoostLR with Vector Form Decorrelated Filters for Pedestrian Detection”, IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 12, December 2020 [PDF]
  7. Heechul Bae, Eoin Brophy, Rosa H.M. Chan, Baoquan Chen, Fan Feng, Gabriele Graffieti, Vidit Goel, Xinyue Hao, Hyonyoung Han, Sathursan Kanagarajah, Somesh Kumar, Siew-Kei Lam, Tin Lun Lam, Chuanlin Lan, Qi Liu, Vincenzo Lomonaco, Liang Ma, Davide Maltoni, German I. Parisi, Lorenzo Pellegrini, Duvindu Piyasena, Shiliang Pu, Qi She, Debdoot Sheet, Soonyong Song, Youngsung Son, Zhengwei Wang, Tomas E. Ward, Jianwen Wu, Meiqing Wu, Di Xie, Yangsheng Xu, Lin Yang, Qihan Yang, Qiaoyong Zhong, and Liguang Zhou, “IROS 2019 Lifelong Robotic Vision: Object Recognition Challenge”, IEEE Robotics & Automation Magazine, Vol. 27, No. 2, June 2020, pp. 11-16 [PDF]
  8. Meiqing Wu, Siew-Kei Lam, and Thambipillai Srikanthan, “A Framework for Fast and Robust Visual Odometry”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 12, December 2017, pp. 3433-3448 [PDF]
  9. Meiqing Wu, Siew-Kei Lam, and Thambipillai Srikanthan, “Non-Parametric Technique Based High-Speed Road Surface Detection”, IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 2, 2015, pp. 874-884 [PDF]
  10. Nirmala Ramakrishnan, Meiqing Wu, Siew-Kei Lam, and Thambipillai Srikanthan, “Enhanced Low-Complexity Pruning for Corner Detection”, Journal of Real-Time Image Processing, Vol. 2, No. 1, June 2016, pp. 197-213 [PDF]
  11. Bo Liu, Siew-Kei Lam, Thambipillai Srikanthan and Weiqi Yuan, “Iris Recognition Using Stable Dark Features”, Journal of Computers: Special Issue on Parallel Architecture, Algorithms and Programming, Vol. 8 No. 1, January 2013
  12. Bo Liu, Siew-Kei Lam, Thambipillai Srikanthan and Weiqi Yuan, “Iris Recognition of Defocused Images for Mobile Phones", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 26, No. 8, 1260010, December 2012 [PDF]

    13. International Refereed Conferences/Workshops

    1. Dongshuo Zhang, Meiqing Wu, and Siew-Kei Lam “Training-Free Attentive-Patch Selection for Visual Place Recognition”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2023
    2. Gaurav Singh, Meiqing Wu, Siew-Kei Lam, and Do Van Minh “Hierarchical Loop Closure Detection for Long-term Visual SLAM with Semantic-Geometric Descriptors”, 24th IEEE International Conference on Intelligent Transportation (ITSC), September 2021 [PDF]
    3. He Wei, Meiqing Wu and Siew-Kei Lam, “CAP: Context-Aware Pruning for Semantic Segmentation”, IEEE Winter Conference on Applications of Computer Vision (WACV), January 2021 [PDF]
    4. Gaurav Singh, Meiqing Wu and Siew-Kei Lam, “Fusing Semantics and Motion State Detection for Robust Visual SLAM”, IEEE Winter Conference on Applications of Computer Vision (WACV), March 2020 [Colorado] [PDF]
    5. Sirin Haddad and Siew-Kei Lam, “Self-Growing Spatial Graph Networks for Pedestrian Trajectory Prediction”, IEEE Winter Conference on Applications of Computer Vision (WACV), March 2020 [Colorado] [PDF]
    6. Duvindu Piyasena, Sathursan Kanagarajah, Siew-Kei Lam and Meiqing Wu, “Lifelong Learning with Regularization and Data Augmentation”, IEEE/RSJ International Conference on Intelligent Robots and Systems, November 2019 [Macau, China] [PDF]
    7. Gaurav Singh, Meiqing Wu and Siew-Kei Lam, “Revisiting Visual Odometry for Real-Time Performance”, International Conference on Machine Vision Applications (MVA), May 2019 [Tokyo, Japan] [PDF]
    8. Sirin Haddad, Meiqing Wu, He Wei and Siew-Kei Lam, “Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model”, 24th Computer Vision Winter Workshop (CVWW), February 2019 [Austria] [PDF]
    9. Chengju Zhou, Meiqing Wu and Siew-Kei Lam, “Fast and Accurate Pedestrian Detection using Dual-Stage Group Cost-Sensitive RealBoost with Vector Form Filters”, 25th ACM Multimedia (MM), October 2017 [California, USA] [PDF]
    10. Chengju Zhou, Meiqing Wu and Siew-Kei Lam, “Group Cost-sensitive Boosting with Multi-scale Decorrelated Filters for Pedestrian Detection”, 28th British Machine Vision Conference (BMVC), September 2017 [London, UK] [PDF]
    11. Kratika Garg, Vedika Agarwal, Siew-Kei Lam and Thambipillai Srikanthan, “Real-time Road Traffic Density Estimation using Block Variance”, IEEE Winter Conference on Applications of Computer Vision (WACV), March 2016, pp. 1-9 [New York, USA] [PDF]
    12. Nirmala Ramakrishnan, Thambipillai Srikanthan, Siew-Kei Lam and Gauri Tulsulkar, “Adaptive Window Strategy for High Speed and Robust KLT Feature”, Pacific Rim Symposium on Image and Video Technology (PSIVT), November 2015
    13. Meiqing Wu, Siew-Kei Lam, Thambipillai Srikanthan, “Vision-based Pedestrian Tracking System using Color and Motion Cue”, International Symposium on Integrated Circuits (ISIC), December 2014, pp. 372-375
    14. Nirmala Ramakrishnan, Meiqing Wu, Siew-Kei Lam, Thambipillai Srikanthan, “Mask-based Non-Maximal Suppression with Iterative Pruning for Low Complexity Corner Detection”, International Symposium on Integrated Circuits (ISIC), December 2014, pp. 368-371 [PDF]
    15. Meiqing Wu, Siew-Kei Lam, Thambipillai Srikanthan, “Stereo-based ROIs Generation for Detecting Pedestrians in Close Proximity”, International Conference on Intelligent Transportation Systems (ITSC), October 2014, pp. 1929-1934 [PDF]
    16. Nirmala Ramakrishnan, Meiqing Wu, Siew-Kei Lam, Thambipillai Srikanthan, “Automated Thresholding for Low Complexity Corner Detection”, NASA/ESA Conference on Adaptive Hardware and Systems, 2014, pp. 97-103 [PDF]
    17. Meiqing Wu, Nirmala Ramakrishnan, Siew-Kei Lam and Thambipillai Srikanthan, "Low-Complexity Pruning for Accelerating Corner Detection", IEEE International Symposium on Circuits and Systems (ISCAS), May 2012, pp. 1684-1687 [PDF]

      18. Domain Specific EI

      International Refereed Journals

      1. Siew-Kei Lam, Teck Chuan Lim, Meiqing Wu, Bin Cao, and Bhavan A. Jasani, “Data-path Unrolling with Logic Folding for Area-Time Efficient FPGA-based FAST Corner Detector”, Journal of Real-Time Image Processing, Vol. 16, No. 6, December 2019, pp 2147–2158 [PDF]
      2. Thinh Hung Pham, Phong Tran, Siew-Kei Lam, “High-Throughput and Area-Optimized Architecture for rBRIEF Feature Extraction”, IEEE Transactions on Very Large Scale Integration System, Vol. 27, No. 4, April 2019, pp. 747-756 [PDF]
      3. Siew-Kei Lam, Guiyuan Jiang, Meiqing Wu, Bin Cao, “Area-Time Efficient Streaming Architecture for FAST and BRIEF Detector”, IEEE Transactions on Circuits and Systems II, Vol. 66, No. 2, February 2019, pp. 282-286 [PDF]
      4. Bhavan A. Jasani, Siew-Kei Lam, Pramod K. Meher, and Meiqing Wu, “Threshold-Guided Design and Optimization for Harris Corner Detector Architecture”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 28, No. 12, December 2018, pp. 3516-3526 [PDF]
      5. Siew-Kei Lam, Teck Chuan Lim, Meiqing Wu, Bin Cao, Bhavan A. Jasani, “Area-Time Efficient FAST Corner Detector using Data-path Transposition”, IEEE Transactions on Circuits and Systems II, Vol. 65, No. 9, September 2018, pp. 1224-1228 [PDF]

        6. International Refereed Conferences/Workshops

        1. Duvindu Piyasena, Siew-Kei Lam and Meiqing Wu, “Accelerating Continual Learning on Edge FPGA”, Field Programmable Logic and Applications (FPL), August 2021
        2. Duvindu Piyasena, Siew-Kei Lam and Meiqing Wu, “Edge Accelerator for Lifelong Deep Learning using Streaming Linear Discriminant Analysis”, 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), May 2021 (Poster)
        3. Duvindu Piyasena, Miyuru Thathsara, Sathursan Kanagarajah, Siew-Kei Lam and Meiqing Wu, “Dynamically Growing Neural Network Architecture for Lifelong Deep Learning on the Edge”, Field Programmable Logic and Applications (FPL), August 2020 [PDF]
        4. Duvindu Piyasena, Rukshan Wickramasinghe, Debdeep Paul, Siew Kei Lam and Meiqing Wu, “Reducing Dynamic Power in Streaming CNN Hardware Accelerators by Exploiting Computational Redundancies”, Field Programmable Logic and Applications (FPL), September 2019 [Barcelona, Spain] [PDF]
        5. Duvindu Piyasena, Rukshan Wickramasinghe, Debdeep Paul, Siew Kei Lam and Meiqing Wu, “Lowering Dynamic Power of a Stream-based CNN Hardware Accelerator”, IEEE 21st International Workshop on Multimedia Signal Processing (MMSP), September 2019 [Kuala Lumpur, Malaysia] [PDF]
        6. Phong Tran, Thinh Hung Pham, Siew-Kei Lam, Meiqing Wu, and Bhavan A. Jasani, “Stream-based ORB Feature Extractor with Dynamic Power Optimization”, International Conference on Field-Programmable Technology (ICFPT), December 2018 [Okinawa, Japan] [PDF]
        7. Siew-Kei Lam, Rakesh Kumar Bijarniya, and Meiqing Wu, “Lowering Dynamic Power in Stream-based Harris Corner Detection Architecture”, International Conference on Field-Programmable Technology (ICFPT), December 2017 [Melbourne, Australia] [PDF]
        8. Kadiyala Sai Praveen, Vikram Pudikumar and Siew-Kei Lam, “Approximate Compressed Sensing for Hardware-Efficient Image Compression”, IEEE International System-on-Chip Conference (SOCC), September 2017 [Munich, Germany] [PDF]
        9. Fubing Mao, Wei Zhang, Bingsheng He and Siew Kei Lam, “Dynamic Module Partitioning for Library based Placement on Heterogeneous FPGAs”, 25th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), April 2017
        10. Fubing Mao, Wei Zhang, Bingsheng He and Siew Kei Lam, “Dynamic Partitioning for Library based Placement on Heterogeneous FPGAs”, 25th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), February 2017
        11. Gaurav Mishra, Yan Lin Aung, Meiqing Wu, Siew-Kei Lam and Thambipillai Srikanthan, “Real-Time Image Resizing Hardware Accelerator for Object Detection Algorithms", 4th International Symposium on Electronic System Design (ISED), December 2013, pp. 98-102 [PDF]

          12. Secure and Reliable EI

          International Refereed Journals

          1. Jiaxing Li, Jigang Wu, Long Chen, Jin Li, and Siew-Kei Lam, "Blockchain-based Secure Key Management for Mobile Edge Computing", IEEE Transactions on Mobile Computing, Vol. 22, No. 1, January 2023 [PDF]
          2. Changhai Ou, Xinping Zhou, and Siew-Kei Lam, "Information Entropy Based Leakage Profiling", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 40, No. 6, June 2021, pp. 1052-1062 [PDF]
          3. Changhai Ou, Siew-Kei Lam, and Guiyuan Jiang, "The Science of Guessing in Collision-Optimized Divide-and-Conquer Attacks", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 40, No. 6, June 2021, pp. 1039-1051 [PDF]
          4. Changhai Ou, Chengju Zhou, Siew-Kei Lam, and Guiyuan Jiang, “Multiple-Differential Mechanism for Collision-Optimized Divide-and-Conquer Attacks”, IEEE Transactions on Information Forensics and Security, Vol. 16, No. 1, December 2021, pp. 418-430 [PDF]
          5. Changhai Ou, Siew-Kei Lam, Degang Sun, Xinping Zhou, Kexin Qiao, and Qu Wang, "SNR-Centric Power Trace Extractors for Side-Channel Attack", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 40, No. 4, April 2021 [PDF]
          6. Changhai Ou, Siew-Kei Lam, Chengju Zhou, Guiyuan Jiang, and Fan Zhang, “A Lightweight Detection Algorithm for Collision-Optimized Divide-and-Conquer Attacks”, IEEE Transactions on Computers, Vol. 69, November 2020, pp. 1694-1706 [PDF]
          7. Changhai Ou, Chengju Zhou, and Siew-Kei Lam, “A First Study of Compressive Sensing for Side-Channel Leakage Sampling”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 39, No. 10, October 2020, pp. 2166-2177 [PDF]
          8. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, and Fangxin Ning, “Designing Energy-Efficient MPSoC with Untrustworthy 3PIP Cores”, IEEE Transactions on Parallel and Distributed Systems, Vol. 31, No. 1, January 2020, pp. 51-63 [PDF]
          9. Saru Vig, Rohan Juneja, Guiyuan Jiang, Siew-Kei Lam, and Changhai Ou, “A Framework for Fast Memory Authentication using Dynamically Skewed Integrity Tree”, IEEE Transactions on Very Large Scale Integration System, Vol. 27, No. 10, October 2019 [PDF]
          10. Jigang Wu, Yalan Wu, Guiyuan Jiang and Siew-Kei Lam, “Algorithms for Reconfiguring NoC-based Fault-Tolerant Multiprocessor Arrays”, Journal of Circuits, Systems and Computers, August 2018 [PDF]
          11. Jigang Wu, G. Jiang, Y. Shen, Siew-Kei Lam, J. Sun and T. Srikanthan, “Parallel Reconfiguration Algorithms for Mesh-connected Processor Arrays”, Journal of Supercomputing, Vol. 69. No. 2, August 2014, pp. 610-628 [PDF]

          International Refereed Conferences/Workshops

          1. Srivatsan Chandrasekar, Siew-Kei Lam, and Srikanthan Thambipillai, “DNN Model Theft through Trojan Side-Channel on Edge FPGA Accelerator”, 19th International Symposium on Applied Reconfigurable Computing (ARC), September 2023
          2. Saru Vig, Siew-Kei Lam and Rohan Juneja, “Cache-Aware Dynamic Skewed Tree for Fast Memory Authentication”, 26th Asia and South Pacific Design Automation Conference (ASP-DAC), January 2021 [PDF]
          3. Saru Vig, Rohan Juneja, and Siew-Kei Lam, “DISSECT: Dynamic Skew-and-Split Tree for Memory Authentication”, Design, Automation and Test in Europe (DATE), March 2020 [PDF]
          4. Alexander Fell, Hung Thinh Pham, Siew-Kei Lam, “TAD: Time Side-Channel Attack Defense of Obfuscated Source Code”, 24th Asia and South Pacific Design Automation Conference (ASP-DAC), January 2019 [Tokyo, Japan] [PDF]
          5. Manaar Alam, Debdeep Mukhopadhyay, Sai Praveen Kadiyala, Siew-Kei Lam and Thambipillai Srikanthan, “Side-Channel Assisted Malware Classifier with Gradient Descent Correction for Embedded Platforms”, 7th International Workshop on Security Proofs for Embedded Systems (PROOFS), Vol. 7, September 2018, pp. 1-15 [PDF]
          6. Thinh Hung Pham, Alexander Fell, Arnab Kumar Biswas, Siew-Kei Lam, and Nandeesha Veeranna, “CIDPro: Custom Instructions for Dynamic Program Diversification”, Field Programmable Logic and Applications (FPL), August 2018, [PDF]
          7. Saru Vig, Sarani Bhattacharya, Debdeep Mukhopadhyay and Siew-Kei Lam, “Rapid Detection of RowHammer Attacks using Dynamic Skewed Hash Tree", Hardware and Architectural Support for Security and Privacy (HASP@ISCA), June 2018 [PDF]
          8. Saru Vig, Guiyuan Jiang, and Siew-Kei Lam, “Dynamic Skewed Tree for Fast Memory Integrity Verification", Design, Automation and Test in Europe (DATE), March 2018, pp. 642-647 [PDF]
          9. Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Rohith R., Siew-Kei Lam, and Muhammad Shafique, "HIMAP: A Hierarchical Mapping Approach for Enhancing Lifetime Reliability of Dark Silicon Manycore Systems", Design Automation and Test Europe (DATE), March 2018, pp. 991-996
          10. Rohith R, Vijeta Rathore, Vivek Chaturvedi, Amit Kumar Singh, Thambipillai Srikanthan, Siew-Kei Lam, "LifeSim: A Lifetime Reliability Simulator for Manycore Systems", 8th IEEE Annual Computing and Communication Workshop and Conference (CCWC), January 2018
          11. Saru Vig, Tan Yng Tzer, Guiyuan Jiang, and Siew-Kei Lam, “Customizing Skewed Trees for Fast Memory Integrity Verification in Embedded Systems", IEEE Computer Society Annual Symposium on VLSI (ISVLSI), July 2017, pp. 213-218 [PDF]
          12. Jigang Wu, Ningjing Liu, Siew-Kei Lam and Guiyuan Jiang, “Shortest Partial Path First Algorithm for Reconfigurable Processor Array with Faults”, 14th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), August 2016, pp. 1198-1203 [PDF]
          13. Xu Wang, Jigang Wu, Guiyuan Jiang, Siew-Kei Lam, Thambipillai Srikanthan, "Fast Replica Placement and Update Strategies in Tree Networks", IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May 2015, pp. 915-920
          14. Yuanbo Zhu, Jigang Wu, Siew-Kei Lam and T. Srikanthan, “Preprocessing Technique for Accelerating Reconfiguration of Degradable VLSI Arrays", IEEE International Symposium on Circuits and Systems (ISCAS), May 2013, pp. 2424-2427
          15. Yuanbo Zhu, Jigang Wu, Siew-Kei Lam and T. Srikanthan, “Reconfiguration Algorithms for Degradable VLSI Arrays with Switch Faults", IEEE International Conference on Parallel and Distributed Systems (ICPADS), Singapore, December 2012, pp. 356-361 [PDF]

          Distributed EI

          International Refereed Journals

          1. Peilan He, Guiyuan Jiang, Siew-Kei Lam, Yidan Sun, and Fangxin Ning “Exploring Public Transport Transfer Opportunities for Pareto Search of Multicriteria Journeys”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 12, December 2022 [PDF]
          2. Peilan He, Guiyuan Jiang, Siew-Kei Lam, and Yidan Sun “ML-MMAS: Self-Learning Ant Colony Optimization for Multi-criteria Journey Planning”, Information Sciences, Vol. 609, September 2022, pp. 1052-1074 [PDF]
          3. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, and Peilan He “Learning Traffic Network Embeddings for Predicting Congestion Propagation”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 8, August 2022 [PDF]
          4. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Peilan He, and Fangxin Ning “Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency”, Applied Soft Computing, Vol. 124, July 2022 [PDF]
          5. Guiyuan Jiang, Siew-Kei Lam, Peilan He, Changhai Ou, and Dihao Ai, “A Multi-Scale Attributes Attention Model for Transport Mode Identification”, IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 1, January 2022, pp. 152-164 [PDF]
          6. Fangxin Ning, Guiyuan Jiang, Siew-Kei Lam, Changhai Ou, Peilan He, and Yidan Sun, “Passenger-Centric Vehicle Routing for First-Mile Transportation Considering Request Uncertainty”, Information Sciences, Vol. 570, September 2021, pp. 241-261 [PDF]
          7. Guiyuan Jiang, Siew-Kei Lam, Fangxin Ning, Peilan He, and Jidong Xie, “Peak-Hour Vehicle Routing for First-Mile Transportation: Problem Formulation and Algorithms”, IEEE Transactions on Intelligent Transportation Systems, Vol. 21, No. 8, August 2020, pp. 3308-3321 [PDF]
          8. Peilan He, Guiyuan Jiang, Siew-Kei Lam, and Yidan Sun, “Learning Heterogeneous Traffic Patterns for Travel Time Prediction of Bus Journeys”, Information Sciences, Vol. 512, February 2020, pp. 1394-1406 [PDF]
          9. Peilan He, Guiyuan Jiang, Siew-Kei Lam, and Dehua Tang, “Travel Time Prediction of Bus Journey with Multiple Bus Trip”, IEEE Transactions on Intelligent Transportation Systems, Vol. 20, No. 11 , November 2019 [PDF]
          10. Zikai Zhang, Jigang Wu, Long Chen, Guiyuan Jiang, and Siew-Kei Lam, “Collaborative Task Offloading with Computation Result Reusing for Mobile Edge Computing”, The Computer Journal, April 2019 [PDF]
          11. Longting Zhu, Jigang Wu, Guiyuan Jiang, Long Chen, and Siew-Kei Lam, “Efficient Hybrid Multicast Approach in Wireless Data Center Network”, Future Generation Computer Systems, Vol. 83, June 2018, pp. 27-36
          12. Guiyuan Jiang, Siew-Kei Lam, Yidan Sun, Lijia Tu and Jigang Wu, “Joint Charging Tour Planning and Depot Positioning for Wireless Sensor Networks using Mobile Chargers”, IEEE/ACM Transactions on Networking, Vol. 25, No. 4, August 2017, pp. 2250-2266

            13. International Refereed Conferences/Workshops

            1. Sun Yidan, He Peilan, Jiang Guiyuan, and Siew-Kei Lam, “Learning Congestion Propagation Behaviors for Traffic Prediction”, 24th IEEE International Conference on Intelligent Transportation (ITSC), September 2021 [PDF]
            2. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam and Peilan He, “Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach”, 30th International Joint Conference on Artificial Intelligence (IJCAI), August 2021 [PDF]
            3. Peilan He, Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, “Predicting Travel Time of Bus Journeys with Alternative Bus Services”, 19th IEEE International Conference on Data Mining Workshop (ICDMW), November 2019
            4. Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Shicheng Chen and Peilan He, “Bus Travel Speed Prediction using Attention Network of Heterogeneous Correlation Features”, SIAM International Conference on Data Mining (SDM), May 2019 [Calgary, Canada] [PDF]