Home
Publications
Talks
Honors
Teaching
Services
Group
CFP

Talks

Invited Lectures (8)

  1. Invited course: Transfer Learning, a lecture in the Online Asian Machine Learning School (OAMLS). Nov. 2021.

  2. Invited course: Transfer Learning: Fundamentals and Applications, a lecture in Aalborg University, Denmark. Jun. 2019.

  3. Invited course: Transfer Learning: Fundamentals and Applications, a lecture in Tsinghua-NTU theoretical computer science winter school, organized by NTU, Singapore. Jan. 2019.

  4. Invited course: Transfer Learning: Fundamentals and Applications, a lecture in summer school, organized by Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore. May 2018.

  5. Invited course: Transfer Learning, a lecture at the 2017 IEEE SPS Summer School on Visual Image Search and Visual Analytics (VISVA-17), Singapore. Jul. 2017.

  6. Invited course: Transfer Learning: Fundamentals and Applications, a lecture in summer school, organized by Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore. May 2017.

  7. Invited course: Transfer Learning, a lecture of the short course on Data Mining Techniques and Applications, organized by Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore. Jan. 2014.

  8. Invited course: Transfer Learning (Part I: Overview), a lecture at Machine Learning Summer School 2011 (MLSS-11), Singapore. Jun. 2011.

Tutorials (4)

  1. Tutorial: Fine-grained Opinion Mining: Current Trend and Cutting-Edge Dimensions, at the 28th International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China. Aug. 2019.

  2. Tutorial: Transfer Learning with Applications, at the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China. Aug. 2013.

  3. Tutorial: Transfer Learning with Applications, at the 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-13), Gold Coast, Australia. Apr. 2013.

  4. Tutorial: Domain Adaptation in Real-world Applications, at the 4th Asian Conference on Machine Learning (ACML-12), Singapore. Nov. 2012.

Invited Keynotes (4)

  1. Invited keynote: Integration of First-Order Logic and Deep Learning, at the 1st MICCAI 2022 Workshop on Resource-Efficient Medical Image Analysis. Singapore, Sept. 2022.

  2. Invited keynote: Sensor-based Activity Recognition via Kernel-embedding Neural Networks, at the 2021 International Conference on Crowd Science and Engineering (ICCSE). Jinan, China, Oct. 2021.

  3. Invited keynote: Distribution-embedded Networks for Sensor-based Activity Recognition, at the 3rd International Workshop on Deep Learning for Human Activity Recognition (in conjunction with IJCAI 2021). Montreal, Canada, Aug. 2021.

  4. Invited keynote: Syntactically-Meaningful and Transferable Recursive Neural Networks for Fine-grained Sentiment Analysis, at the IJCAI 2019 Workshop on Multi-output Learning. Macau, Aug. 2019.

Invited Talks (30)

  1. Invited talk: Sensor-based Activity Recognition via Kernel-embedding Neural Networks, at School of Mathematics and Statistics, Ningbo University. Dec. 2021.

  2. Invited talk: Integration of First-order Logic and Deep Learning, at Department of Computer Science and Engineering, The Chinese University of Hong Kong. Nov. 2021.

  3. Invited talk: An Overview of Transfer Learning, at DataRobot. Dec. 2020.

  4. Invited talk: Integrating Logic into Deep Learning Models for NLP Tasks, at MSRA Collaborative Research Workshop: Advanced Machine Learning algorithm. Dec. 2020.

  5. Invited talk: Transferable Recursive Neural Networks for Fine-grained Sentiment Analysis, at the Workshop on Low-Resource Machine Learning of the Microsoft Research Asia Academic Day 2019. Beijing, China, Nov. 2019.

  6. Invited talk: Communication-Efficient Geo-Distributed Multi-Task Learning, at Breakout Sessions of the Microsoft Research Asia Academic Day 2019. Beijing, China, Nov. 2019.

  7. Invited talk: From Supervised Learning to Transfer Learning, at Department of Computer Science, Aalborg University. Denmark, Jun. 2019.

  8. Invited talk: From Supervised Learning to Transfer Learning, at Department of Computer Science and Engineering, The Chinese University of Hong Kong. Hong Kong, May 2019.

  9. Invited talk: From Supervised Learning to Transfer Learning, at Continental townhall. Singapore, Mar. 2019.

  10. Invited talk: From Supervised Learning to Transfer Learning, at Department of Computer Science, City University of Hong Kong. Hong Kong, Jan. 2019.

  11. Invited talk: From Supervised Learning to Transfer Learning, at School of Data and Computer Science, Sun Yat-Sen University. Guangzhou, China, Dec. 2018.

  12. Invited talk: Informed Exploration of Deep Reinforcement Learning through Hashing, at Computing in the 21st Century Conference and Asia Faculty Summit on MSRA’s 20th anniversary. Beijing, China, Nov. 2018.

  13. Invited talk: From Supervised Learning to Transfer Learning, at Big Data & AI Leaders Summit. Singapore, Sept. 2018.

  14. Invited talk: Transfer Learning, at IEEE International Conference on Agents (ICA)/International Conference on Crowd Science and Engineering (ICCSE)/ International Conference on Ageless Aging (ICAA). Singapore, Jul. 2018.

  15. Invited talk: Distributed Multi-task Relationship Learning, at School of Biomedical Engineering, Shenzhen University. Shenzhen, China, Jun. 2018.

  16. Invited talk: Transfer Learning, at AI workshop on Visions of AI Futures, co-organised by School of Computing, National University of Singapore (NUS) and AI Singapore. Singapore, May 2018.

  17. Invited talk: Distributed Multi-task Relationship Learning, at AI Innovation talk series, organized by DSO National Laboratories. Singapore, Apr. 2018.

  18. Invited talk: Distributed Multi-task Relationship Learning, at the Data Science Workshop and Demonstration Day, organized by Singapore Data Science Consortium. Singapore, Jan. 2018.

  19. Invited talk: Feature-based Transfer Learning via Kernel Embedding of Distributions, at the 13th China Workshop on Machine Learning and Applications (MLA), Nanjing, China. Nov. 2016.

  20. Invited talk: Defect Detection through Transfer Learning, at the 5th International Workshop on Software Mining, in conjunction with the 31st IEEE/ACM International Conference on Automated Software Engineering (ASE 2016), Singapore. Sept. 2016.

  21. Invited spotlight talk: AI through Transfer Learning, at the Symposium on Future of AI, organized by Singapore University of Technology and Design (SUTD) and Nvidia. Singapore. Jul. 2016.

  22. Invited talk: Deep Learning for Heterogeneous Transfer Learning, at the CSE Alumni Homecoming Workshop 2016 on Big Data and Deep Learning, organized by the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST). Hong Kong. Jun. 2016.

  23. Invited talk: Heterogeneous Transfer Learning through Deep Learning, at the Workshop on Deep Learning, organized by Advanced Digital Sciences Center (ADSC) and Institute for Infocomm Research (I2R). Singapore. Aug. 2015.

  24. Invited talk: Feature-based Transfer Learning and Real-world Applications, at the 1st International Workshop on Feature and Similarity Learning for Computer Vision (FSLCV-14), in conjunction with The 12th Asian Conference on Computer Vision (ACCV-14). Singapore. Nov. 2014.

  25. Invited talk: Transfer Learning: Methodologies and Applications, at the School of Computer Engineering, Nanyang Technological University (NTU), Singapore. Feb. 2014.

  26. Invited talk: An Overview on Transfer Learning, at the NIPS-13 Workshop on New Directions in Multi-Task and Transfer Learning, Lake Tahoe, Nevada, USA. Dec. 2013.

  27. Invited talk: Transfer Learning with Applications on Text, Sensors and Images, at the 2nd Workshop on Machine Learning for Interactive Systems (MLIS-13): Bridging the Gap between Perception, Action and Communication, in conjunction with the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China. Aug. 2013.

  28. Invited talk: Transfer Learning for Sentiment Analysis, at seminars of the Department of Computer Science, National University of Singapore (NUS), Singapore. Sept. 2012.

  29. Invited talk: Feature-based Transfer Learning with Real-world Applications, at seminars of Learning and Vision Research Group, Department of Electrical and Computer Engineering, National University of Singapore (NUS). Singapore, Aug. 2011.

  30. Invited talk: Feature-based Transfer Learning with Real-world Applications, at Yahoo!-DAIS Seminars, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), USA. May 2010.