Dr. Harris Tsang

Profile of Dr. Harris Tsang

Assistant Professor
Department of Computer Science


EDUCATION

  • Ph.D. in Electronic and Information Engineering of The Hong Kong Polytechnic University
  • B.Eng. in Electronic and Information Engineering of The Hong Kong Polytechnic University

 

WORKING EXPERIENCE

  • 01/2025 – Present, Assistant Professor, Hong Kong Chu Hai College (HKCHC), Tuen Mun, HKSAR.
  • 01/2026 – Present, Honorary Assistant Professor, The University of Hong Kong, HKSAR.
  • 09/2023 – 12/2024, System Architect, Laboratory of Data Discovery for Health (D²4H), by InnoHK@HKUMed, HKU, Hong Kong Science Park, HKSAR.
  • 08/2020 – 08/2023, Postdoctoral Fellow, Centre for Advances in Reliability and Safety (CAiRS), InnoHK R&D Centres by PolyU, Hong Kong Science Park, HKSAR.
  • 11/2013 – 08/2020, Postdoctoral Fellow and Research Fellow, The Hong Kong Polytechnic University (PolyU), Hung Hom, HKSAR.

 

TEACHING SUBJECTS

  • CSC139 Programming for Machine Learning
  • CSC141 Final Year Project
  • CSC169 Artificial Intelligence Technology
  • CSC178 Embedded Systems Applications
  • CSC179 Computer Vision and Applications
  • RAI601 Capstone Project
  • RAI605 Machine Learning
  • RAI615 Computer Vision
  • RAI617 Natural Language Processing

 

EXTERNAL FUNDED PROJECTS

  1.  “Acoustic-based Automated Obstructive Sleep Apnea Detection Method,” Dr. T.-C. Hsung (PI), Prof. W.-L. Lo (Co-I), Dr. S.-H. Tsang (Co-I), Dr. W. W.-S. Choi (Co-I), Dr. W.-F. Yang (Co-I), HKD$1,022,981, UGC/FDS13/E03/25, 2026-2028.
  2. “Seminar Series on Artificial Intelligence Applications in Health Science and Dental Science” Prof. W.-L. Lo (PI), Dr. T.-C. Hsung (Co-PI), Dr. Y.-H. Lam (Co-I), Dr. H. FU (Co-I), Dr. M. GU (Co-I), Dr. S.-H. Tsang (Co-I), Dr. Y. Zhu (Co-I), Prof. G. D. Smith (Co-PI), Prof. M. C.-M. Chow (Co-I), Prof. D. M. Chiu (Co-I), Dr. C. M. Chow (Co-I), HKD$184,100, UGC/IIDS13/E01/25, 2026.

 

SPEAKERS / AWARDS / HIGHLIGHTS

  1. Best Oral Presentation Award, “Parameter-Efficient Multi-Source Adaptation for Multimodal Fashion Retrieval,” 2026 IEEE International Conference on Artificial Intelligence and Electromechanical Automation (IEEE-AIEA 2026), Jun. 2026.
  2. Speaker, “Building a Multimodal VLM Agent for Intelligent Oral Health Image Analysis,” Seminar Series on Artificial Intelligence applications in Health Science and Dental Science, Research Grants Council (RGC) Inter-Institutional Development Scheme (IIDS), UGC/IIDS13/E01/25, May 2026.
  3. Silver Medal, “ClearLens: Cutting-Edge Camera Tampering and Anomaly Detection System for Video Surveillance,” International Exhibition of Inventions Geneva, April 2024.
  4. Invitation to Special Section, “DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding,” IEEE Transactions on Circuits and Systems for Video Technology, July 2020.
  5. Featured Article, “Mode Skipping for HEVC Screen Content Coding via Random Forest,” IEEE Transactions on Multimedia, October 2019.

 

PROFESSIONAL ACTIVITIES

Academic Reviewer

  • IEEE: IEEE Transactions on Image Processing (TIP), IEEE Transactions on Broadcasting (TBC), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), IEEE Access (ACCESS), IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
  • Elsevier: Elsevier Journal of Pattern Recognition (JPR), Elsevier Journal of Neurocomputing (JNEUCOM), Elsevier Journal of Signal Processing: Image Communication (JSPIC), Elsevier Journal of Microprocessors and Microsystems (JMicro)
  • Springer: Springer The Journal of Supercomputing (JSupercomput)
  • IET: IET Image Processing (IET-IPR)
  • JMIR: JMIR Human Factors (JHF)
  • Wiley: Electronics and Telecommunications Research Institute Journal (ETRIJ)
  • AIMS Press: Quantitative Finance and Economics (QFE)
  • MDPI: MDPI Sensors, MDPI Imaging, MDPI Applied Sciences, MDPI Electronics, MDPI Digital, MDPI Entropy, MDPI Computers
  • PLOS: PLOS One

Proposal Reviewer

  • MTR Research Funding (MRF)

Conference Duties

  • Technical Program Committee (ICICSP 2026)

 

PATENT LIST

  1. 伦栢江, 曾锡豪, 潘奕昆, 陈锐霖, 陈德林, 洪益东, “监控摄像机异常检测系统和方法,” CN117690066A, CN Patent, March 2024.
  2. P.-K. Lun, S.-H. Tsang, Y. Pan, Y.-L. Chan, T.-L. Chan, and Y.-T. Hung, “System and Method for Spray Paint Image Synthesis in Surveillance Camera Anomaly Detection,” HK30076502, HK Patent, February 2023.
  3. 陈锐霖, 曾锡豪, 萧允治, 张开珏, 许伟林, 伦柏江, 任俊彦, “用于深度图编码和解码的混合型跳过模式,” CN102752595B, CN Patent, July 2014.
  4. Y.-L. Chan, S.-H. Tsang, W.-C. Siu, H.-K. Cheung, W.-L. Hui, P.-K. Lun, and J. Ren, “Hybrid skip mode for depth map coding and decoding,” US20140002594A1, US Patent, January 2014.

 

PUBLICATION LIST

Journal Papers

  1. R. C. W. Chau, Z. Gong, A. C. C. Cheng, K. Mao, K. M. Thu, R. Zhang, T. H. Chang, H. J. Tan, H. S.-H. Tsang, M. S. Tonetti, F. Schwendicke, R. T.-C. Hsung, W. Y. H. Lam, “External Validation of a mHealth Tool for Detecting Gingival Inflammation in Community-Dwelling Older Adults,” Journal of Dentistry, vol. 173, 106804, Oct. 2026, doi: 10.1016/j.jdent.2026.106804.
  2. W.-L. Dong, R. T.-C. Hsung, H. S.-H. Tsang, T. Y. Zhu, and W.-L. Lo, “A Novel Multimodal Hierarchical Large Language Model for Enhancing Image and Text Sequence Recommendations in Item and User Modeling,” Big Data and Cognitive Computing, 10(8): 250, Jul. 2026, doi: 10.3390/bdcc10080250.
  3. N.-W. Kwong, Y.-L. Chan, Z. Huang, and S.-H. Tsang, “Multi-Branch Aesthetic and Technical Perspectives with Cross Tri-Fusion Attention for No-Reference Audio-Visual Quality Assessment,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 36, no. 7, pp. 10260-10275, July 2026, doi: 10.1109/TCSVT.2026.3674552.[HT1.1]
  4. W. L. Lo, K. W. Wong, R. T.-C. Hsung, H. S. H. Chung, H. Fu, H. S. H. Tsang, and T. Y. Zhu, “VISR-CNN: A Dual-Stream Framework for Meteorological Visibility Estimation via Multi-Scale Transmission Attention and Spectral Gating,” Algorithms, 19(6), 434, pp. 1-24, May 2026, doi: 10.3390/a19060434.
  5. Z. Lin, Y. Lai, W. L. Lo, R. T.-C. Hsung, H. S.-H. Tsang, X. Xue, K. Zhou, and Y. Zhu, “TSFusion: Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting,” IET Communications, 20 (1), e70150, Apr. 2026, doi: 10.1049/cmu2.70150.
  6. W. L. Lo, K. W. Wong, R. T. C. Hsung, H. S. H. Chung, H. Fu, H. S. H. Tsang, and T. Y. Zhu, “A Range-Aware Attention Framework for Meteorological Visibility Estimation,” Sensors, 26(6), 1893, pp. 1-22, Mar. 2026, doi: 10.3390/s26061893.
  7. N.-W. Kwong, Y.-L. Chan, S.-H. Tsang, Z. Huang, and K.-M. Lam, “Multi-frame Spatiotemporal Feature and Hierarchical Learning Approach for No-reference Screen Content Video Quality Assessment,” in IEEE Transactions on Multimedia, vol. 27, pp. 7632-7647, 2025, doi: 10.1109/TMM.2025.3599071.
  8. Z. Song, H. S.-H. Tsang, R. T.-C. Hsung, Y. Zhu, and W.-L. Lo, “From Market Volatility to Predictive Insight: An Adaptive Transformer–RL Framework for Sentiment-Driven Financial Time-Series Forecasting,” Forecasting, 7(4), 55, Oct. 2025, doi: 10.3390/forecast7040055.
  9. W. L. Lo, H. S. H. Chung, R. T. C. Hsung, H. Fu, T. Y. Zhu, T. W. Shen, and H. S. H. Tsang, “Optimal Parameter Estimation for Solar PV Panel Based on ANN and Adaptive Particle Swarm Optimization,” Algorithms, 18(10), 598, pp. 1-22, Sep. 2025, doi: 10.3390/a18100598.
  10. Z. Huang, Y.-L. Chan, N.-W. Kwong, S.-H. Tsang, K.-M. Lam, and W.-K. Ling, “Long Short-term Fusion by Multi-scale Distillation for Screen Content Video Quality Enhancement,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 35, no. 8, pp. 7762-7777, Aug. 2025, doi: 10.1109/TCSVT.2025.3544314.
  11. H. He, D. Wu, Y. Du, W. Lo, X. Zeng (S. H. Tsang), and Y. Zhu, “Research on PCB Defect Detection Technology Based on the Improved YOLOv5 Model” Journal of Intelligent Perception Engineering, 2(2), pp. 82-90, Apr. 2025, doi: 10.3969/j.issn.2097-4965.2025.02.007.
  12. Y. Pan, S.-H. Tsang, T. T.-L. Chan, Y.-L. Chan, and D. P.-K. Lun, “Solving the Imbalanced Dataset Problem in Surveillance Image Blur Classification,” Engineering Applications of Artificial Intelligence, 138, Part A, 109345, Dec. 2024, doi: 10.1016/j.engappai.2024.109345.
  13. N.-W. Kwong, Y.-L. Chan, S.-H. Tsang, Z. Huang, and K.-M. Lam, “Deep Learning Approach for No-Reference Screen Content Video Quality Assessment,” IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 555-569, 2024, doi: 10.1109/TBC.2024.3374042.
  14. N.-W. Kwong, Y.-L. Chan, S.-H. Tsang, Z. Huang, and K.-M. Lam, “Spatiotemporal Feature Learning for No-Reference Gaming Content Video Quality Assessment,” Journal of Visual Communication and Image Representation, vol. 100, 104118, pp. 1-11, 2024, doi: 10.1016/j.jvcir.2024.104118.
  15. S.-H. Tsang, Z. Suo, T. T.-L. Chan, H.-T. Nguyen, and D. P.-K. Lun, “PCB Soldering Defect Inspection Using Multi-Task Learning Under Low Data Regimes,” Journal Advanced Intelligent Systems, vol. 5, 2300364, pp. 1-11, 2023, doi: 10.1002/aisy.202300364.
  16. N.-W. Kwong, Y.-L. Chan, S.-H. Tsang and D. P.-K. Lun, “Quality Feature Learning via Multi-Channel CNN and GRU for No-Reference Video Quality Assessment,” in IEEE Access, vol. 11, pp. 28060-28075, 2023, doi: 10.1109/ACCESS.2023.3259101.
  17. Z. Huang, Y.-L. Chan, S.-H. Tsang and K.-M. Lam, “Mode Information Guided CNN for Quality Enhancement of Screen Content Coding,” in IEEE Access, vol. 11, pp. 24149-24161, 2023, doi: 10.1109/ACCESS.2023.3242673.
  18. C.-H. Fu, Y.-L. Chan, H.-B. Zhang, S. H. Tsang and M.-T. Xu, “Efficient Depth Intra Frame Coding in 3D-HEVC by Corner Points,” in IEEE Transactions on Image Processing, vol. 30, pp. 1608-1622, 2021, doi: 10.1109/TIP.2020.3046866.
  19. W. Kuang, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “DeepSCC: Deep Learning-Based Fast Prediction Network for Screen Content Coding,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 7, pp. 1917-1932, July 2020, doi: 10.1109/TCSVT.2019.2929317.
  20. W. Kuang, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “Machine Learning-Based Fast Intra Mode Decision for HEVC Screen Content Coding via Decision Trees,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 5, pp. 1481-1496, May 2020, doi: 10.1109/TCSVT.2019.2903547.
  21. Y.-L. Chan, C.-H. Fu, H. Chen and S.-H. Tsang, “Overview of current development in depth map coding of 3D video and its future,” IET Signal Process., 14: 1-14, 2020, doi: 10.1049/iet-spr.2019.0063.
  22. C.-H. Fu, H. Chen, Y.-L. Chan, S.-H. Tsang and X. Zhu, “Early termination for fast intra mode decision in depth map coding using DIS-inheritance,” Signal Processing: Image Communication, Volume 80, 2020, 115644, ISSN 0923-5965, doi: 10.1016/j.image.2019.115644.
  23. W. Kuang, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “Online-Learning-Based Bayesian Decision Rule for Fast Intra Mode and CU Partitioning Algorithm in HEVC Screen Content Coding,” in IEEE Transactions on Image Processing, vol. 29, pp. 170-185, 2020, doi: 10.1109/TIP.2019.2924810.
  24. C.-H. Fu, H. Chen, Y.-L. Chan, S.-H. Tsang, H. Hong and X. Zhu, “Fast Depth Intra Coding Based on Decision Tree in 3D-HEVC,” in IEEE Access, vol. 7, pp. 173138-173147, 2019, doi: 10.1109/ACCESS.2019.2956994.
  25. S.-H. Tsang, Y.-L. Chan and W. Kuang, “Mode Skipping for HEVC Screen Content Coding via Random Forest,” in IEEE Transactions on Multimedia, vol. 21, no. 10, pp. 2433-2446, Oct. 2019, doi: 10.1109/TMM.2019.2907472.
  26. S.-H. Tsang, Y.-L. Chan and W. Kuang, “Standard compliant light field lenslet image coding model using enhanced screen content coding framework,” Journal of Electronic Imaging 28(5), 053027 (23 October 2019), doi: 10.1117/1.JEI.28.5.053027.
  27. W. Kuang, Y.-L. Chan and S.-H. Tsang, “Efficient Intra Bitrate Transcoding for Screen Content Coding Based on Convolutional Neural Network,” in IEEE Access, vol. 7, pp. 107211-107224, 2019, doi: 10.1109/ACCESS.2019.2933029.
  28. S.-H. Tsang, Y.-L. Chan, W. Kuang and W.-C. Siu, “Reduced-Complexity Intra Block Copy (IntraBC) Mode With Early CU Splitting and Pruning for HEVC Screen Content Coding,” in IEEE Transactions on Multimedia, vol. 21, no. 2, pp. 269-283, Feb. 2019, doi: 10.1109/TMM.2018.2856078.
  29. W. Kuang, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “Fast HEVC to SCC Transcoder by Early CU Partitioning Termination and Decision Tree-Based Flexible Mode Decision for Intra-Frame Coding,” in IEEE Access, vol. 7, pp. 8773-8788, 2019, doi: 10.1109/ACCESS.2018.2890720.
  30. H.-B. Zhang, C.-H. Fu, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “Probability-Based Depth Intra-Mode Skipping Strategy and Novel VSO Metric for DMM Decision in 3D-HEVC,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 2, pp. 513-527, Feb. 2018, doi: 10.1109/TCSVT.2016.2612693.
  31. W. Kuang, Y.-L. Chan, S.-H. Tsang and W.-C. Siu, “Fast intraprediction for high-efficiency video coding screen content coding by content analysis and dynamic thresholding,” Journal of Electronic Imaging 27(5), 053029 (8 October 2018), doi: 10.1117/1.JEI.27.5.053029.
  32. H.-B. Zhang, C.-H. Fu, Y.-L. Chan, S.-H. Tsang W.-C. Siu and W.-M. Su “Efficient wedgelet pattern decision for depth modeling modes in three-dimensional high-efficiency video coding,” Journal of Electronic Imaging 25(3), 033023 (23 June 2016), doi: 10.1117/1.JEI.25.3.033023.
  33. S.-H. Tsang, Y.-L. Chan and W.-C. Siu, “Region-Based Weighted Prediction for Coding Video With Local Brightness Variations,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 3, pp. 549-561, March 2013, doi: 10.1109/TCSVT.2012.2210802.
  34. S.-H. Tsang, Y.-L. Chan and W.-C. Siu, “Efficient intra prediction algorithm for smooth regions in depth coding,” IET Electronics Letters, Volume 48, Issue 18, 30 August 2012, pp. 1117–1119, doi: 10.1049/el.2012.1768.
  35. S.-H. Tsang, Y.-L. Chan and W.-C. Siu, “Multiple weighted prediction models for video coding with brightness variations,” IET Image Processing, Volume 6, Issue 4, June 2012, pp. 434–443, doi: 10.1049/iet-ipr.2010.0243.
  36. S.-H. Tsang, Y.-L. Chan and W.-C. Siu, “Flash scene video coding using weighted prediction,” Journal of Visual Communication and Image Representation, Volume 23, Issue 2, 2012, Pages 264-270, ISSN 1047-3203, doi: 10.1016/j.jvcir.2011.11.004.

Conference Papers

  1. C. Tan, A. C.-C. Cheng, H. S.-H. Tsang, R. T.-C. Hsung, W. L. Lo, A. Y.-S. Sum, W. W.-S. Choi, and T. W. Yang, “A Sleep Audio Preprocessor for OSA Acoustic Analysis” International Conference on Information Communication and Signal Processing (ICICSP), Shanghai, China, Sep. 2026. (Accepted, to be appeared.)
  2. A. C.-C. Cheng, H. S.-H. Tsang, R. T.-C. Hsung, W.-L. Lo, L. Chen, Y.-L. Chan, R. C. W. Chau, Z. Gong, K. Mao, and W. Lam, “OralIQA: No-Reference Multiview Intraoral Image Quality Assessment for Accessible Teledentistry,” International Conference on Information Communication and Signal Processing (ICICSP), Shanghai, China, Sep. 2026. (Accepted, to be appeared.)
  3. J. Feng, W. L. Lo, T. C. Hsung, S. H. Tsang, X. Yang, Z. Xhang, Y. Lai, X. Xue, K. Zhou, and Y. Zhu, “Shadow2Points: End-to-End 3D Reconstruction from Multi-illumination Shadow Observations,” International Conference on Computer Vision, Application and Algorithm (CVAA), Hong Kong, China, Sep. 2026. (Accepted, to be appeared.)
  4. X. Sha, H. S.-H. Tsang, W.-L. Lo, R. T.-C. H., T. Y. Zhu, X. Yang, Z. Song, Y.-L. Chan, “FinBERT-Driven Sentiment Analysis and Multi-Factor Synergy for Stock Market Forecasting,” International Conference on Generative Artificial Intelligence for Business (GAIB), Shenzhen, China, Jul.-Aug. 2026. (Accepted, to be appeared.)
  5. T. Chen, R. T.-C. Hsung, H. S.-H. Tsang, W.-L. Lo, T. Y.-L. Zhu, X. Yang, B. Chiu, and W. Lam “Choice-Head Distillation for Dental Multiple-Choice Question Answering,” International Conference on Artificial Intelligence and Electromechanical Automation (AIEA), Shenzhen, China, Jun. 2026. (Accepted, to be appeared.)
  6. Y. Wang, W. L. Lo, T. C. Hsung, S. H. Tsang, X. Yang, Z. Zhang, Y. Lai, X. Xue, K. Zhou, and Y. Zhu, “Self-Supervised Contrastive Learning Enhanced UAV Thermal-Imaging-Based PV Defect Detection,” International Conference on Artificial Intelligence and Electromechanical Automation (AIEA), Shenzhen, China, Jun. 2026. (Accepted, to be appeared.)
  7. Y. Liu, H. S.-H. Tsang, R. T.-C. Hsung, T. Y. Zhu, X. Yang, W.-L. Lo, Z. Huang, Y.-L. Chan, “Parameter-Efficient Multi-Source Adaptation for Multimodal Fashion Retrieval,” International Conference on Artificial Intelligence and Electromechanical Automation (AIEA), Shenzhen, China, Jun. 2026. (Accepted, to be appeared.)
  8. W. L, Lo, K.-W. Wong, R. T.-C. Hsung, H. S.-H. Chung, H. Fu, T. Y. Zhu, H. S.-H. Tsang, and K.-H. Pong, “Meteorological Visibility Estimation Through Multi-Modal Feature Fusion with Convolutional and Frequency Domain Representations,” International Conference on Computer and Communications (ICCC), Chengdu, China, 2025, pp. 1202-1206, doi: 10.1109/ICCC68654.2025.11437622.
  9. A. C.-H. Chan, E. S.-W. Wong, and H. S.-H. Tsang, “Innovative Applications in Drainage Safety Plan and Monitoring,” Guangdong-Hong Kong-Macao Greater Bay Area Conference on Building Operation and Maintenance, Guangzhou, China, Dec. 2025.
  10. L.-S. Zhou, R. T.-C. Hsung, H. S.-H. Tsang, T. Y.-L. Zhu, and W.-L. Lo, “A Robust Drone based Parking Space Detection System Based on Deep Learning Algorithms,” International Conference on Machine Intelligence and Nature-inspireD Computing (MIND), Xiamen, China, Oct.-Nov. 2025, pp. 284-289, doi: 10.1109/MIND67540.2025.11351839.
  11. C.-C. Cheng, H. S.-H. Tsang, R. T.-C. Hsung, Y.-L. Chan, W.-L. Lo, and W. Lam, “GumAgent: Towards an Accessible Gum Disease Detection Tool Leveraging Vision Language Model,” International Conference on Information Communication and Signal Processing (ICICSP), Xi’an, China, Sep. 2025, pp. 513-518, doi: 10.1109/ICICSP66564.2025.11338496.
  12. J. Yang, R. T.-C. Hsung, T.-Y. Zhang, H. S.-H. Tsang, T. Y.L. Zhu, and W.-L. Lo, “On Supervised Fine-tuning of Large Language Model for IELTS Writing Assessment System,” International Conference on Innovation Management and Information Systems (ICICSP), Xi’an, China, 2025, Sep. 2025, pp. 525-529, doi: 10.1109/ICICSP66564.2025.11338245.
  13. Z. Song, S.-H. Tsang, and T.-C. Hsung, “Optimization of Futures Price Forecasting and Trading Strategies Based on Clustering and Multi-model Fusion,” International Conference on Innovation Management and Information Systems (ICIIS), Shenzhen, China, 2025, pp. 241-246, doi: 10.1145/3745676.3745711.
  14. Z. Huang, Y.-L. Chan, N.-W. Kwong, S.-H. Tsang, K.-M. Lam, and W.-K. Ling, “Frame Similarity-Based Screen Content Video Quality Enhancement via Adaptive Long Short-Term Fusion,” IEEE International Conference on Visual Communications and Image Processing (VCIP), Tokyo, Japan, 2024, pp. 1-5, doi: 10.1109/VCIP63160.2024.10849791.
  15. N.-W. Kwong, Y.-L. Chan, S.-H. Tsang, and D. P.-K. Lun, “Optimized Quality Feature Learning for Video Quality Assessment,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095975.
  16. Z. Huang, Y. Cao, S.-H. Tsang, Y.-L. Chan, and K.-M. Lam, “Quality Enhancement of Screen Content Video using Dual-input CNN,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, 2022, pp. 797-803, doi: 10.23919/APSIPAASC55919.2022.9979969.
  17. Y. Pan, S.-H. Tsang, Y.-L. Chan, and D. P. K. Lun, “Blur Detection for Surveillance Camera System,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai, Thailand, 2022, pp. 1879-1884, doi: 10.23919/APSIPAASC55919.2022.9980343.
  18. N.-W. Kwong, S.-H. Tsang, Y.-L. Chan, D. P.-K. Lun, and T.-K. Lee, “No-Reference Video Quality Assessment Metric Using Spatiotemporal Features Through LSTM,” Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT), 1176629 (13 March 2021), doi: 10.1117/12.2590406.
  19. S.-H. Tsang, N.-W. Kwong, and Y.-L. Chan, “Ultra Fast Screen Content Coding via Random Forest,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Auckland, New Zealand, 2020, pp. 1112-1117.
  20. S.-H. Tsang, N.-W. Kwong, and Y.-L. Chan, “FastSCCNet: Fast Mode Decision in VVC Screen Content Coding via Fully Convolutional Network,” IEEE International Conference on Visual Communications and Image Processing (VCIP), Macau, China, 2020, pp. 177-180, doi: 10.1109/VCIP49819.2020.9301885.
  21. S.-H. Tsang, and Y.-L. Chan, “360-Degree Intra Coding Mode for Equirectangular Projection Format Videos,” IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020, pp. 1-5, doi: 10.1109/ISCAS45731.2020.9180456.
  22. W. Kuang, Y.-L. Chan, and S.-H. Tsang, “Low-Complexity Intra Prediction for Screen Content Coding by Convolutional Neural Network,” IEEE International Symposium on Circuits and Systems (ISCAS), Seville, Spain, 2020, pp. 1-5, doi: 10.1109/ISCAS45731.2020.9180754.
  23. W. Kuang, Y.-L. Chan, and S.-H. Tsang, “Efficient Mode Decision for HEVC Screen Content Coding by Content Analysis,” International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, QLD, Australia, 2019, pp. 1-5, doi: 10.1109/ICSPCS47537.2019.9008718.
  24. S.-H. Tsang, Y.-L. Chan, and W. Kuang, “Standard-Compliant HEVC Screen Content Coding for Raw Light Field Image Coding,” International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, QLD, Australia, 2019, pp. 1-6, doi: 10.1109/ICSPCS47537.2019.9008587.
  25. W. Kuang, Y.-L. Chan, S.-H. Tsang, and W.-C. Siu, “Fast HEVC to SCC Transcoding Based on Decision Trees,” IEEE International Conference on Multimedia and Expo (ICME), San Diego, CA, USA, 2018, pp. 1-6, doi: 10.1109/ICME.2018.8486461.
  26. W. Kuang, S.-H. Tsang, Y.-L. Chan, and W.-C. Siu, “Fast Mode Decision Algorithm for HEVC Screen Content Intra Coding,” IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017, pp. 2473-2477, doi: 10.1109/ICIP.2017.8296727.
  27. S.-H. Tsang, W. Kuang, Y.-L. Chan, and W.-C. Siu, “Decoder Side Merge Mode and AMVP in HEVC Screen Content Coding,” IEEE International Conference on Image Processing (ICIP), Beijing, China, 2017, pp. 260-264, doi: 10.1109/ICIP.2017.8296283.
  28. S.-H. Tsang, W. Kuang, Y.-L. Chan, and W.-C. Siu, “Fast HEVC Screen Content Coding by Skipping Unnecessary Checking of Intra Block Copy Mode Based on CU Activity and Gradient,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Jeju, Korea (South), 2016, pp. 1-5, doi: 10.1109/APSIPA.2016.7820900.
  29. H.-B. Zhang, Y.-L. Chan, C.-H. Fu, S.-H. Tsang, and W.-C. Siu, “Quadtree Decision for Depth Intra Coding in 3D-HEVC by Good Feature,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, 2016, pp. 1481-1485, doi: 10.1109/ICASSP.2016.7471923.
  30. S.-H. Tsang, Y.-L. Chan, and W.-C. Siu, “Hash Based Fast Local Search for Intra Block Copy (IntraBC) Mode in HEVC Screen Content Coding,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Hong Kong, China, 2015, pp. 396-400, doi: 10.1109/APSIPA.2015.7415302.
  31. H.-B. Zhang, S.-H. Tsang, Y.-L. Chan, C.-H. Fu, and W.-M. Su, “Early Determination of Intra Mode and Segment-Wise DC Coding for Depth Map Based on Hierarchical Coding Structure in 3D-HEVC,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Hong Kong, China, 2015, pp. 374-378, doi: 10.1109/APSIPA.2015.7415297.
  32. H.-B. Zhang, C.-H. Fu, Y.-L. Chan, S.-H. Tsang, and W.-C. Siu, “Efficient Depth Intra Mode Decision by Reference Pixels Classification in 3D-HEVC,” IEEE International Conference on Image Processing (ICIP), Quebec City, QC, Canada, 2015, pp. 961-965, doi: 10.1109/ICIP.2015.7350942.
  33. C.-H. Fu, H.-B. Zhang, W.-M. Su, S.-H. Tsang, and Y.-L. Chan, “Fast Wedgelet Pattern Decision for DMM in 3D-HEVC,” IEEE International Conference on Digital Signal Processing (DSP), Singapore, 2015, pp. 477-481, doi: 10.1109/ICDSP.2015.7251918.
  34. H.-B. Zhang, C.-H. Fu, W.-M. Su, S.-H. Tsang, and Y.-L. Chan, “Adaptive Fast Intra Mode Decision of Depth Map Coding by Low Complexity RD-Cost in 3D-HEVC,” IEEE International Conference on Digital Signal Processing (DSP), Singapore, 2015, pp. 487-491, doi: 10.1109/ICDSP.2015.7251920.
  35. S.-H. Tsang, Y.-L. Chan, and W.-C. Siu, “Fast and Efficient Intra Coding Techniques for Smooth Regions in Screen Content Coding Based on Boundary Prediction Samples,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), South Brisbane, QLD, Australia, 2015, pp. 1409-1413., doi: 10.1109/ICASSP.2015.7178202.
  36. S.-H. Tsang, Y.-L. Chan, and W.-C. Siu, “Exploiting Inter-Layer Correlations in Scalable HEVC for the Support of Screen Content Videos,” International Conference on Digital Signal Processing (DSP), Hong Kong, China, 2014, pp. 888-892, doi: 10.1109/ICDSP.2014.6900796.
  37. S.-H. Tsang, T.-K. Lee, Y.-L. Chan, and W.-C. Siu, “Region-Based Weighted Prediction Algorithm for H.264/AVC Video Coding,” IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, 2013, pp. 269-272, doi: 10.1109/ISCAS.2013.6571834.
  38. S.-H. Tsang, T.-K. Lee, Y.-L. Chan, and W.-C. Siu, “H.264 Region-Based Weighted Prediction for Scenes with Local Brightness Variations,” Constantinides International Workshop on Signal Processing (CIWSP), London, 2013, pp. 1-4, doi: 10.1049/ic.2013.0004.
  39. S.-H. Tsang, and Y.-L. Chan, “H.264 Video Coding with Multiple Weighted Prediction Models,” IEEE International Conference on Image Processing (ICIP), Hong Kong, China, 2010, pp. 2069-2072, doi: 10.1109/ICIP.2010.5654032.
  40. S.-H. Tsang, Y.-L. Chan, and W.-C. Siu, “New Weighted Prediction Architecture for Coding Scenes with Various Fading Effects in Image and Video Processing,” International Conference on Signal Processing and Multimedia Applications (SIGMAP), Athens, Greece, 2010, pp. 118-123.

 


 

ADMISSION