Prof. Wen-Hsiao Peng, NYCU CS

Personal details

Department of Computer Science, National Yang Ming Chiao Tung University
1001 Ta-Hsueh Rd., Hsinchu 30010, Taiwan
Email: wpeng@cs.nctu.edu.tw (Primary); wpeng@g2.nctu.edu.tw; wpeng@nycu.edu.tw;
Google scholar: https://scholar.google.com/citations?user=HucsFB4AAAAJ&hl=en
Linked In: https://www.linkedin.com/in/wen-hsiao-peng-02752b141/
Lab@NCTU: http://mapl.cs.nycu.edu.tw
ORCID: https://orcid.org/0000-0002-4421-8031

Education

Ph.D., M.S. and B.S. in EE, National Chiao Tung University (NCTU), Taiwan, 2005, 1999, 1997 (all with the highest honor)

Work Experience

Aug. 2022 – Pres., Director, Institute of Data Science, National Yang Ming Chiao Tung University (formly NCTU), Taiwan
Jan. 2020 – Pres., Associate Director, Joint AI Research Labs, Univ. of Washington, USA and National Yang Ming Chiao Tung University, Taiwan
July 2015 – July 2016, Visiting Professor, IBM Thomas J. Watson Research Center, New York, USA
Aug. 2006 – Pres., National Yang Ming Chiao Tung University (NYCU), Hsinchu, Taiwan
- Professor, Department of Computer Science
- Director, Division of Industry Cooperation, Office of International Affairs
- Associate Director, Computer Vision Research Center
- Secretariat, EECS Center for Circuit Theory, Communications, and Signal Processing
Aug. 2011 – Pres., Industrial Technology Research Institute International (ITRI-USA), USA
- Principal Representative to the InterNational Committee for Information Technology Standards, USA
Nov. 2000 – Nov. 2001, Intern, Intel Microprocessor Research Lab, California, USA

Memberships

Chair, IEEE CASS Visual Signal Processing and Communications Technical Committee (VSPC TC), ’21 – ’22.
Secretary, IEEE CASS Visual Signal Processing and Communications Technical Committee, ’18 – ’20.
Member, IEEE CASS Standards Activities Sub-Division (SASD), ’22-’23.
Member, IEEE CASS Digital Communications Ad-hoc Committee, ’20-’21
Senior Member of the IEEE, ’13
Member, IEEE CASS Visual Signal Processing and Communications Technical Committee, ’09 – Pres.
Conference Subcommittee Co-chair, IEEE CASS VSPC TC, ’15 – Pres.
Member, Chinese Institute of Engineers - Greater New York Chapter (CIE-GNYC), ’15 – Pres.
Member, IEEE CASS Multimedia Systems and Applications Technical Committee, ’09 – ’15
Delegate, ISO/IEC Moving Picture Experts Group (MPEG), ’04 – Pres.

Research Interests

Neural network-based image/video coding, e.g. end-to-end learned image/video coding, reinforcement learning-assisted image/video encoder control, and learned image/video coding for machines.
ISO/IEC & ITU-T video coding standards, e.g. H.264/AVC Scalable Extension (SVC), High-Efficiency Video Coding (H.265/HEVC), Screen Content coding (SCC), Versatile Video Coding (H.266/VVC), JPEG AI, and 360 Video.
Visual signal processing, e.g. image/video super-resolution and re-scaling.
Computer vision, e.g. semantic segmentation, incremental learning, video prediction, and domain adaptation.
Multi-modality data fusion for data analytics.
Graph computing and mining.

Research Highlights

Machine/deep learning for visual signal coding and processing
- Participated in ISO/IEC AG 5 Call for learning-based video codecs for study of quality assessment.
- Participated in ISO/IEC and ITU-T JPEG AI Call-for-Evidence & Call-for-Proposals on learning-based image compression.
- Participated in Grand Challenge on Neural Network-based Video Coding (organized by Bytedance) at IEEE ISCAS 2022, 2023.
- Participated in Challenge on Learned Image Compression (organized mainly by Google) at IEEE CVPR 2018, 2019, 2020, 2021, 2022.
- Conducted a joint study with Leibniz University Hannover on learned conditional video coding.
- Conducted a joint study with Poznan University of Technology on reinforcement learning-based image/video coding.
- Conducted a joint study with MediaTek on learning-based video/image coding.
- Conducted a joint study with Qualcomm on learning-assisted video/image coding.
- Explored feature-graph-based incremental learning.
- Explored cross-domain/task adaptation through data disentanglement and learning similarity metrics.
Computer vision
- Conducted a joint study with IBM System G group on cross-domain data fusion for multimedia analytics.
- Explored video/image understanding and retrieval (e.g. visual question answering and visual search).
ISO/IEC & ITU-T video coding standards
- Contributed actively to the development of international ISO/IEC & ITU-T image/video coding standards since 2003.
- Submitted responses (one of the few university teams) to ISO/IEC & ITU-T Call-for-Evidence (CfE) and Call-for-Proposals (CfP).
  - CfE on Scalable Video Coding (SVC), 2003. (ISO/IEC M9767)
  - CfP on Scalable Video Coding (SVC), 2004. (ISO/IEC M10724)
  - CfP on High-Efficiency Video Coding (H.265/HEVC), 2011. (ISO/IEC & ITU-T JCTVC-A123)
  - CfP HEVC Screen Content Coding Extensions (SCC), 2014. (ISO/IEC & ITU-T JCTVC-Q0032)
  - CfE on JPEG AI learning-based image coding, 2022.
  - CfP on JPEG AI learning-based image coding, 2023. (ISO/IEC & ITU-T M96054)
- Led several Core Experiments towards the completion of these standards.
Published 100+ technical papers and 60+ ISO/IEC & ITU-T standards contributions, and hold 15+ US/TW patents

Professional Activities

Editor-in-Chief, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, ’24 - ’25. (Active Calls-for-Papers, JETCAS LinkedIn)
Technical Program Co-Chair, Picture Coding Symposium (PCS), June '24.
Technical Program Co-Chair, APSIPA Annual Summit and Conference (ASC), ’23.
Distinguished Lecturer, IEEE Circuits and Systems Society, ’22 – ’23
CASS Representative for the Signal Processing Society, IEEE Circuits and Systems Society, ’22-’23
Best Paper Committee Member, Picture Coding Symposium (PCS), Dec. '22
Organizer, APSIPA Forum on Intelligent Low-Complexity, Low-Power Visual Signal Processing Systems, Dec. ’22.
Special Session Organizer, “Towards Practical Learning-based Image and Video Coding,” Picture Coding Symposium (PCS), ’22.
Session Chair, IEEE Int. Midwest Symposium on Circuits and Systems (MWSCAS), ’22.
Panelist, Asia-Pacific Signal and Information Processing Association (APSIPA) panel on the “Future of Video Coding”, ’21
Associate EiC for Digital Communications, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, ’20 - ’21
Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), ’19 - ’22
Organizer, IEEE TCSVT Special Section on Learning-based Image and Video Compression, ’20
Senior Editorial Board Member, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, ’17 - ’19
Guest Editor, IEEE Journal on Emerging and Selected Topics in Circuits and Systems: Special Issue on Immersive Video Coding and Transmission, ’19
Guest Editor, IEEE Transactions on Circuits and Systems II (TCAS-II): Express Briefs, ’19
Lead Guest Editor, IEEE Journal on Emerging and Selected Topics in Circuits and Systems: Special Issue on Screen Content Video Coding and Applications, ’16
Area Chair, IEEE Visual Communications and Image Processing Conference (VCIP), ’20
Area Chair, Picture Coding Symposium (PCS), ’19
Track Chair, IEEE Int. Symposium on Circuits and Systems (ISCAS), ’18 – Pres.
Publication Co-chair, IEEE Int. Conference on Image Processing (ICIP), ’19
Distinguished Lecturer, Asia Pacific Signal and Information Processing Association (APSIPA), ’17-’18
Technical Program Co-chair, APSIPA Annual Summit and Conference, ’18
Technical Program Co-chair, Int. Symp. on Intelligent Signal Process. and Comm. Syst. (ISPACS), ’17
Area Chair, IEEE Int. Conference on Multimedia and Expo (ICME), ’15, ’18
Area Chair, Visual Communications and Image Processing Conference (VCIP), ’15, ‘16
Best Reviewer Award, Visual Communications and Image Processing Conference (VCIP), ’13
Technical Program Co-chair, Visual Communications and Image Processing Conference (VCIP), ’11
Review Committee Member, IEEE Int. Symposium on Circuits and Systems (ISCAS), ’12 – Pres.
Best Paper Committee Member, IEEE Int. Conference on Multimedia & Expo (ICME), ’10
Special Session Organizer, 2017 IEEE ISPACS, 2014 and 2010 APSIPA ASC; 2010 IEEE ICME
- Video/Image Processing for New Media (ISPACS 2017)
- HEVC Screen Content Coding (ASC 2014)
- High-Efficiency Video Coding (ASC 2010)
- High-Quality Video Coding (ICME 2010)
Technical Program Committee Member, IEEE Int. Symposium on Multimedia (ISM), ’08 – ’15
Technical Program Committee Member, IEEE Int. Symposium on Consumer Electronics (ISCE), ’13
Technical Program Co-chair, IEEE Workshop on Scalable Video Coding and Transport, ’07
Technical Program Committee Members/Reviewers for major conferences/journals:
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- IEEE International Symposium on Circuits and Systems (ISCAS)
- IEEE Visual Communications and Image Processing (VCIP)
- IEEE International Conference on Image Processing (ICIP)
- IEEE Transactions on Multimedia (TMM)
- IEEE Transactions on Image Processing (TIP)
- IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE Winter Conference on Applications of Computer Vision (WACV)
- European Conference on Computer Vision (ECCV)
- IEEE International Conference on Computer Vision (ICCV)
- Asian Conference on Computer Vision (ACCV)
- IEEE International Workshop on Machine Learning for Signal Processing (MLSP)
- IEEE ICCV Workshop on Low-Power Computer Vision
- Journal on Visual Communications and Image Processing (JVCI)
- IEEE International Conference on Multimedia and Expo (ICME)
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Asia-Pacific Signal and Information Processing and Association Annual Summit and Conference (ASC)

Invited Talks (Selected)

Talk, “End-to-End Learned Image and Video Compression: Design, Implementation, and Computer Vision Applications” at Qualcomm, San Diego, April 2024.
Talk, “ANF-based Learned Image and Video Coding” at Leibniz Universität Hannover, Germany, Oct. 2023.
CASS Distinguished Lecture Talk, “End-to-End Learned Image and Video Compression: Design, Implementation, and Computer Vision Applications” at IEEE CASS North Italy Chapter and University of Brescia, Italy, Oct. 2023.
Tutorial, “End-to-End Learned Image and Video Compression: Design, Implementation, and Computer Vision Applications” at IEEE International Conference on Computer Vision (ICCV), Oct. 2023.
CASS Distinguished Lecture Talk, “End-to-End Learned Image and Video Compression: Design, Implementation, and Computer Vision Applications” at IEEE CASS Santa Clara Valley Chapter and APSIPA US Local Chapter, May 2023.
Tutorial, “Advances in Design and Implementation of End-to-End Learned Image and Video Compression,” at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan. 2023.
Talk, “Towards Practical Learning-based Image and Video Coding” at APSIPA Forum on Intelligent Low-Complexity, Low-Power Visual Signal Processing Systems, Dec. ’22.
Talk, “Advances in Design and Implementation of End-to-End Learned Image and Video Compression,” at Poznan Univ. of Technology, Poznan, Poland, Oct. 2022.
CASS Distinguished Lecture Talk, “Advances in Design and Implementation of End-to-End Learned Image and Video Compression”, at IEEE CASS Singapore Chapter, Sep. 2022.
Tutorial, “Recent Advances in Learning-based Image and Video Coding,” at 35th Symposium on Integrated Circuits and System Design (SBCCI), Brazil, Aug. 2022.
Talk, “Learning-based Image and Video Coding”, at Google Silicon Research Workshop, Taipei, May 2022.
Talk, “Learned Image and Video Compression Using Augmented Normalizing Flows,” at Leibniz Universität Hannover, Germany, Dec. 2021.
Talk, “Learned Image and Video Compression Using Augmented Normalizing Flows,” at FAU Erlangen-Nürnberg, Germany, Dec. 2021.
Tutorial, “Advances in Design and Implementation of End-to-End Learned Image and Video Compression,” at IEEE ISCAS, May 2021.
Tutorial, “Recent Advances in End-to-End Learned Image and Video Compression,” at IEEE Visual Communications and Image Processing Conference (VCIP), Macau, Dec. 2020.
Talk, “Application of reinforcement learning to video encoder control and video prediction,” at The 4th IEEE Seasonal School on Digital Processing of Visual Signals and Applications, Oct. 2020.
Talk, “Reinforcement Learning for Video Encoder Control and Video Prediction,” at Leibniz Universität Hannover, Hannover, Germany, Oct. 2019.
Talk, “Reinforcement Learning for Video Encoder Control and Video Prediction,” at RWTH Aachen Univ., Aachen, Germany, Oct. 2019.
Talk, “Reinforcement Learning for Video Encoder Control and Video Prediction,” at Poznan Univ. of Technology, Poznan, Poland, Oct. 2019.
APSIPA Distinguished Lecture Talk, “Reinforcement Learning for Video Encoder Control and Video Prediction,” at Sungkyunkwan Univ., Suwon, Korea, Mar. 2019.
APSIPA Distinguished Lecture Talk, “Reinforcement Learning for HEVC/H.265 Video Rate Control,” at Tongji Univ., Shanghai, China, Nov. 2018.
Talk, “What's trending in CVPR/ICML 2016?” at IBM Thomas J. Watson Research Center, New York, July 2016
Guest Lecture, “Large-scale multimedia analysis: MPEG video and visual search,” in EECS E6895: Advanced Big Data Analytics at Columbia University, New York, Apr. 2016
Tutorial, “HEVC screen content coding (SCC) – standardization and technologies,” in IEEE Visual Communications and Image Processing Conference (VCIP), Singapore, Dec. 2015
Talk, “Recent advances in ITU-T/MPEG video coding standards,” at IBM Thomas J. Watson Research Center, New York, Sep. 2015

Publications (Selected)

Learning-based and learning-assisted image and video coding

M.-J. Chen, H.-S. Xie, C. Chien, W.-H. Peng, H.-M. Hang, "Learned Hierarchical B-frame Coding with Adaptive Feature Modulation for YUV 4:2:0 Content," IEEE International Symposium on Circuits and Systems (ISCAS), May. 2023. (Top-creativity Award)
Y.-H. Ho, C.-H. Lin, P.-Y. Chen, M.-J. Chen, C.-P Chang, W.-H. Peng, and H.-M. Hang “Learned Video Compression for YUV 4:2:0 Content Using Flow-based Conditional Inter-frame Coding,” IEEE International Symposium on Circuits and Systems (ISCAS), 2022. (Top-performance Award)
W. C. Lee, C. P. Chang, W. H. Peng, and H. M. Hang, "A Hybrid-based Layered Image Compressor," IEEE International Workshop on Multimedia Signal Processing (MMSP), Sep. 2020. (Response to JPEG AI Call-for-Evidence on learning-based image compression)
Y.-H. Chen, Y.-C. Weng, W.-H. Peng, and M. Domański, “NYCU-PUT Response to the JPEG AI Call for Proposals,” ISO/IEC JTC1/SC29/WG1 96th meeting, M96054, July, 2022.
J. H. Hu, W. H. Peng, and C. H. Chung, "Reinforcement learning for HEVC/H.265 intra-frame rate control," in Proc. IEEE Int. Symposium on Circuits and Systems (ISCAS), May 2018.
Y.-H Ho, C.-P Chang, P.-Y. Chen, A. Gnutti, and W.-H Peng, “CANF-VC: Conditional Augmented Normalizing Flows for Video Compression,” European Conference on Computer Vision (ECCV), 2022.
Y. H. Ho, C. C. Chan, W. H. Peng, H. M. Hang, M. Domanski, "ANFIC: Image Compression Using Augmented Normalizing Flows," IEEE Open Journal of Circuits and Systems, 2021.
M.-J. Chen, Y.-H. Chen, and W.-H. Peng, "B-CANF: Adaptive B-frame Coding with Conditional Augmented Normalizing Flows," IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, 2023.
D. Alexandre, H.-M. Hang, and W.-H.Peng, "Hierarchical B-frame Video Compression Using Two-layer CANF without Motion Coding," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2023.
Y.-H. Chen, Y.-C. Weng, C.-H. Kao, C. Chien, W.-C. Chiu, W.-H. Peng, "TransTIC: Transferring Transformer-based Image Compression from Human Visualization to Machine Perception," IEEE International Conference on Computer Vision (ICCV), Oct. 2023.
C.-H. Kao, Y.-C. Weng, Y.-H. Chen, W.-C. Chiu, W.-H. Peng, "Transformer-based Variable-rate Image Compression with Region-of-interest Control," IEEE International Conference on Image Processing (ICIP), Oct. 2023.
Y. H. Ho, C. C. Chan, D. Alexandre, W. H. Peng, C. P. Chang, "P-frame Coding Proposal by NCTU: Parametric Video Prediction through Backprop-based Motion Estimation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 2020.
C. P. Chang, D. Alexandre, W. H. Peng and H. M. Hang, "Description of Challenge Proposal by NCTU: An Autoencoder-based Image Compressor with Principle Component Analysis and Soft-Bit Rate Estimation," CVPR Workshop and Challenge on Learned Image Compression, June 2019.
D. Alexandre, C. P. Chang, W. H. Peng and H. M. Hang, "An Autoencoder-based Learned Image Compressor: Description of Challenge Proposal by NCTU", CVPR Workshop and Challenge on Learned Image Compression, June 2018.
L. C. Chen*, J. H. Hu* and W. H. Peng, "Reinforcement Learning for HEVC/H.265 Frame-level Bit allocation," in Proc. IEEE International Conference on Digital Signal Processing (DSP), Dec. 2018.
C. H. Chung, W. H. Peng and J. H. Hu, "HEVC/H.265 coding unit split decision using deep reinforcement learning," in Proc. IEEE Int. Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), Nov. 2017.

Traditional image and video coding

H. C. Huang, W. H. Peng, Y. C. Lin, C. N. Wang, T. Chiang, and H. M. Hang, "Response to Cfp on Scalable Video Coding Technology: Proposal S07 -- A Robust Scalable Video Coding Technique," ISO/IEC MPEG 68th meeting, M10724, Munich, Germany, March 2004.
H. C. Huang, W. H. Peng, C. N. Wang, T. Chiang, and H. M. Hang, "Stack Robust Fine Granularity Scalability: Response to Call for Evidence on Scalable Video Coding," ISO/IEC MPEG 65th meeting, M9767, Trondheim, Norway, July 2003.
M. Wien, J. M. Boyce , T. Stockhammer, and W. H. Peng, "Immersive Video Coding Standardization Status," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Mar. 2019.
W.-H. Peng, F. Walls, R. A. Cohen, J. Xu, J. Ostermann, S. MacInnis, and T. Lin, “Overview of screen content video coding: technologies, standards, and beyond,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 6, no. 4, pp. 393 - 408, Dec. 2016
C.-C. Chen and W.-H. Peng, “Intra line copy for HEVC screen content intra-picture prediction,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1568 - 1579, July 2017
C. C. Chen, T. S. Chang, R. L. Liao, C. W. Kuo, W. H. Peng, H. M. Hang, Y. J. Chang, C. H. Hung, C. C. Lin, J. S. Tu, E. C. Ke, J. Y. Kao, C. L. Lin, F. D. Jou, and F. C. Chen, "Description of screen content coding technology proposal by NCTU and ITRI International," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 17th meeting, JCTVC-Q0032, Valencia, Spain, March 2014.
C. L. Lee, C. C. Chen, Y. W. Chen, M. H. Wu, C. H. Wu, W. H. Peng, and H. M. Hang, "Bi-prediction Combining Template and Block Motion Compensations," ITU-T SG16 WP3 and ISO/IEC JTC1/SC29/WG11 4th meeting, JCTVC-D175, Daegu, Korea, January 2011.
W. H. Peng and C. C. Chen, "An Inter-Frame Prediction Technique Combining Template Matching Prediction and Block Motion Compensation for High Efficiency Video Coding," IEEE Transactions on Circuits and Systems for Video Technology, vol. 23, no. 8, pp. 1432-1446, August 2013.
Y. W. Chen and W. H. Peng, "Parametric OBMC for Pixel-Adaptive Temporal Prediction on Irregular Motion Sampling Grids," IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 1, pp. 113-127, January 2012.
H. C. Huang, W. H. Peng, T. Chiang, and H. M. Hang, "Advances in the Scalable Amendment of H.264/AVC," IEEE Communications Magazine, vol. 45, no. 1, pp. 68-76, January 2007.
W. H. Peng, T. Chiang, H. M. Hang and C. Y. Lee, "A Context Adaptive Bit-plane Coder with Maximum-likelihood-based Stochastic Bit-reshuffling Technique for Scalable Video Coding," IEEE Transactions on Multimedia, vol. 8, no. 4, pp. 654-667, Aug. 2006.
S. H. Wang, W. H. Peng, Y. W. He, G. Y. Lin, C. Y. Lin, S. C. Chang, C. N. Wang and T. Chiang, "A Software-Hardware Co-Implementation of MPEG-4 Advanced Video Coding (AVC) Decoder with Block Level Pipelining," International Journal of VLSI Signal Processing, vol. 41, no. 1, pp. 93-110, Aug. 2005.
S. C. Chang, W. H. Peng, S. H. Wang and T. Chiang, "A Platform based Bus-interleaved Architecture for Deblocking Filter in H.264/MPEG-4 AVC," IEEE Transactions on Consumer Electronics, vol. 51, no.1, pp. 249-255, Feb. 2005.
W. H. Peng and Y. K. Chen, "Enhanced Mode Adaptive Fine Granularity Scalability," International Journal of Imaging Systems and Technology, vol. 13, no. 6, pp. 308-321, Nov. 2003.

Visual signal processing

W. L. Chang*, H. P. Wang*, W. H. Peng and W. C. Chiu, "All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Y. H. Ho, C. Y. Cho, W. H Peng, and G. L. Jin "SME-Net: Sparse Motion Estimation for Parametric Video Prediction through Reinforcement Learning," IEEE International Conference on Computer Vision (ICCV), Oct. 2019.
Y.-H. Chen*, S.-C. Chen*, Y.-H. Chen, Y.-Y. Lin, W.-H. Peng, "MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution," IEEE International Conference on Computer Vision (ICCV), Oct. 2023.
Y. C. Huang, Y. H. Chen, C. Y. Lu, H. P. Wang, W. H. Peng and C. C. Huang, "Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling, " IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.
S. P. Lee, S. C. Chen, W. H. Peng, "GSVNet: Guided Spatially-Varying Convolution for Fast Semantic Segmentation on Video," IEEE International Conference on Multimedia and Expo (ICME), July 2021.
S. Y. Pan*, C. Y. Lu*, S. P. Lee, W. H. Peng, "Weakly-Supervised Image Semantic Segmentation Using Graph Convolutional Networks," IEEE International Conference on Multimedia and Expo (ICME), July 2021.
C. H. Lei, Y. H. Chen, W. H. Peng, W. C. Chiu, "Class-incremental Learning with Rectified Feature-Graph Preservation," Asian Conference on Computer Vision (ACCV), Japan, Nov. 2020.