Page 83 - 2017 Brochure
P. 83
究員
楊得年 De-Nian Yang
Research Fellow
Ph.D., Electrical Engineering, National Taiwan University
Tel: +886-2-2788-3799 ext. 1728 Fax: +886-2-2782-4814
Email: dnyang@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/dnyang/
• IEEE INFOCOM Best In-Session Presentation Award, USA (2016)
• Junior Research Investigators Award , Academia Sinica (2015)
• PAKDD Best Paper Runner-Up Award, Vietnam (2015)
• ACM CHI Best Paper Honorable Mention Award, Canada (2014)
• IEEE GLOBECOM Best Paper Nominee, USA (2014)
• Outstanding Youth Electrical Engineer Award, Chinese Institute of Electrical Engineering, Taiwan (2013)
• K. T. Li Distinguished Young Scholar Award, ACM Taipei/Taiwan Chapter (2012)
• Project for Excellent Junior Research Investigator , National Science Council, Taiwan (2012–2015)
Research Description For Software-Defined Networks (SDN), we prove scalable multicast
traffic engineering with the TCAM and link capacity constraints are
My research interests include graph optimization and analysis NP-Hard and propose approximation algorithms to acquire the
for social and mobile multimedia networks. For social networks, best approximation ratios. With the emergence of VR, we formulate
my research topics include social graph and group queries, a new resource allocation problem as a Stackelberg game in
social influence and privacy, and detection and group therapy of Game Theory and find the equilibrium for mobile networks. For
social network mental disorder (SNMD). Recently, we developed mobile applications, we formulate a new mobile search problem to
a machine learning framework to accurately identify potential cooperatively search an area, and also propose an approximation
cases of SNMD, and we formulated the Member Selection for algorithm that can be implemented on mobile devices.
Online Support Group problem to identify SNMD group therapy
participants. For group queries, we explored social, temporal,
spatial, and preference dimensions of group searches and
formulated the social temporal group query and socio-spatial group
query to find optimal groups. For query processing and clustering,
the research topics include Probabilistic k-Nearest-Neighbor (k-NN)
query, diverse k-NN query, and uncertain skyline query.
Publications 7. T.-Y. Ho, D.-N. Yang, and W. Liao, “Efficient Resource Allocation of
Mobile Multi-View 3D Videos with Depth Image-Based Rendering,”
1. C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, W.-C. Lee, and IEEE Trans. on Mobile Computing, volume 14, number 2, pages 344-
M.-S. Chen, “On Finding Socially Teneous Groups for Online Social 357, February 2015.
Networks,” ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD), August 2017, 8. H.-H. Shuai, D.-N. Yang, P.-S. Yu, and M.-S. Chen, “Willingness
Optimization for Social Group Activity,” International Conference on
2. J.-J. Kuo, S.-H. Shen, H.-Y. Kang, D.-N. Yang, M.-J. Tsai, and Very Large Data Bases (VLDB), August 2014.
W.-T. Chen, “Service Chain Embedding with Maximum Flow in
Software Defined Network and Application to the Next-Generation 9. D.-N. Yang, H.-J. Hung, W.-C. Lee, and W. Chen, “Maximizing
Cellular Network Architecture,” IEEE Conference on Computer Acceptance Probability for Active Friending in On-Line Social
Communications (IEEE INFOCOM), May 2017 Networks,” ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (ACM KDD), August 2013.
3. H.-J. Hung, H.-H. Shuai, D.-N. Yang, L.-H. Huang, W.-C. Lee, J. Pei,
and M.-S. Chen, “When Social Influence Meets Item Inference,” ACM 10. D.-N. Yang, C.-Y. Shen, W.-C. Lee, and M.-S. Chen, “On Socio-
SIGKDD International Conference on Knowledge Discovery and Data Spatial Group Query for Location-Based Social Networks,” ACM
Mining (ACM KDD), August 2016. SIGKDD International Conference on Knowledge Discovery and Data
Mining (ACM KDD), August 2012.
4. L.-H. Huang, H.-C. Hsu, S.-H. Shen, D.-N. Yang, and W.-T. Chen,
“Multicast Traffic Engineering for Software-Defined Networks,” IEEE
Conference on Computer Communications (IEEE INFOCOM), April
2016.
5. H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P.-
S. Yu, and M.-S. Chen, “Mining Online Social Data for Detecting
Social Network Mental Disorders,” International World Wide Web
Conference (WWW), April 2016.
6. S.-H. Shen, L.-H. Huang, D.-N. Yang, and W.-T. Chen, “Reliable
Multicast Routing for Software-Defined Networks,” IEEE Conference
on Computer Communications (IEEE INFOCOM), April 2015.
81
楊得年 De-Nian Yang
Research Fellow
Ph.D., Electrical Engineering, National Taiwan University
Tel: +886-2-2788-3799 ext. 1728 Fax: +886-2-2782-4814
Email: dnyang@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/dnyang/
• IEEE INFOCOM Best In-Session Presentation Award, USA (2016)
• Junior Research Investigators Award , Academia Sinica (2015)
• PAKDD Best Paper Runner-Up Award, Vietnam (2015)
• ACM CHI Best Paper Honorable Mention Award, Canada (2014)
• IEEE GLOBECOM Best Paper Nominee, USA (2014)
• Outstanding Youth Electrical Engineer Award, Chinese Institute of Electrical Engineering, Taiwan (2013)
• K. T. Li Distinguished Young Scholar Award, ACM Taipei/Taiwan Chapter (2012)
• Project for Excellent Junior Research Investigator , National Science Council, Taiwan (2012–2015)
Research Description For Software-Defined Networks (SDN), we prove scalable multicast
traffic engineering with the TCAM and link capacity constraints are
My research interests include graph optimization and analysis NP-Hard and propose approximation algorithms to acquire the
for social and mobile multimedia networks. For social networks, best approximation ratios. With the emergence of VR, we formulate
my research topics include social graph and group queries, a new resource allocation problem as a Stackelberg game in
social influence and privacy, and detection and group therapy of Game Theory and find the equilibrium for mobile networks. For
social network mental disorder (SNMD). Recently, we developed mobile applications, we formulate a new mobile search problem to
a machine learning framework to accurately identify potential cooperatively search an area, and also propose an approximation
cases of SNMD, and we formulated the Member Selection for algorithm that can be implemented on mobile devices.
Online Support Group problem to identify SNMD group therapy
participants. For group queries, we explored social, temporal,
spatial, and preference dimensions of group searches and
formulated the social temporal group query and socio-spatial group
query to find optimal groups. For query processing and clustering,
the research topics include Probabilistic k-Nearest-Neighbor (k-NN)
query, diverse k-NN query, and uncertain skyline query.
Publications 7. T.-Y. Ho, D.-N. Yang, and W. Liao, “Efficient Resource Allocation of
Mobile Multi-View 3D Videos with Depth Image-Based Rendering,”
1. C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, W.-C. Lee, and IEEE Trans. on Mobile Computing, volume 14, number 2, pages 344-
M.-S. Chen, “On Finding Socially Teneous Groups for Online Social 357, February 2015.
Networks,” ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD), August 2017, 8. H.-H. Shuai, D.-N. Yang, P.-S. Yu, and M.-S. Chen, “Willingness
Optimization for Social Group Activity,” International Conference on
2. J.-J. Kuo, S.-H. Shen, H.-Y. Kang, D.-N. Yang, M.-J. Tsai, and Very Large Data Bases (VLDB), August 2014.
W.-T. Chen, “Service Chain Embedding with Maximum Flow in
Software Defined Network and Application to the Next-Generation 9. D.-N. Yang, H.-J. Hung, W.-C. Lee, and W. Chen, “Maximizing
Cellular Network Architecture,” IEEE Conference on Computer Acceptance Probability for Active Friending in On-Line Social
Communications (IEEE INFOCOM), May 2017 Networks,” ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (ACM KDD), August 2013.
3. H.-J. Hung, H.-H. Shuai, D.-N. Yang, L.-H. Huang, W.-C. Lee, J. Pei,
and M.-S. Chen, “When Social Influence Meets Item Inference,” ACM 10. D.-N. Yang, C.-Y. Shen, W.-C. Lee, and M.-S. Chen, “On Socio-
SIGKDD International Conference on Knowledge Discovery and Data Spatial Group Query for Location-Based Social Networks,” ACM
Mining (ACM KDD), August 2016. SIGKDD International Conference on Knowledge Discovery and Data
Mining (ACM KDD), August 2012.
4. L.-H. Huang, H.-C. Hsu, S.-H. Shen, D.-N. Yang, and W.-T. Chen,
“Multicast Traffic Engineering for Software-Defined Networks,” IEEE
Conference on Computer Communications (IEEE INFOCOM), April
2016.
5. H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, W.-C. Lee, P.-
S. Yu, and M.-S. Chen, “Mining Online Social Data for Detecting
Social Network Mental Disorders,” International World Wide Web
Conference (WWW), April 2016.
6. S.-H. Shen, L.-H. Huang, D.-N. Yang, and W.-T. Chen, “Reliable
Multicast Routing for Software-Defined Networks,” IEEE Conference
on Computer Communications (IEEE INFOCOM), April 2015.
81
