Yunsong Guo

According to our database, Yunsong Guo authored at least 21 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks.

Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Balancing Consistency and Disparity in Network Alignment.

Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Natural Language Annotations for Search Engine Optimization.

Porter Jenkins, Jennifer Zhao, Heath Vinicombe, Anant Subramanian, Arun Prasad, Atillia Dobi, Eileen Li, Yunsong Guo

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2010

Supervised learning with implicit preferences and constraints.

Yunsong Guo

PhD thesis, 2010

2009

Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search.

Yunsong Guo, Carla P. Gomes

Proceedings of the IJCAI 2009, 2009

Learning Optimal Subsets with Implicit User Preferences.

Yunsong Guo, Carla P. Gomes

Proceedings of the IJCAI 2009, 2009

2008

Tariff concessions in production sourcing.

Yunsong Guo, Yanzhi Li, Andrew Lim, Brian Rodrigues

Eur. J. Oper. Res., 2008

Metric Learning: A Support Vector Approach.

Nam Nguyen, Yunsong Guo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2007

Machine scheduling performance with maintenance and failure.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Shanhu Yu

Math. Comput. Model., 2007

Minimizing the makespan for Unrelated Parallel Machines.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Liang Yang

Int. J. Artif. Intell. Tools, 2007

ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming.

Yunsong Guo, Bart Selman

Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Comparisons of sequence labeling algorithms and extensions.

Nam Nguyen, Yunsong Guo

Proceedings of the Machine Learning, 2007

2006

Carrier assignment models in transportation procurement.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu

J. Oper. Res. Soc., 2006

Using a Lagrangian Heuristic for a Combinatorial Auction Problem.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Jiqing Tang

Int. J. Artif. Intell. Tools, 2006

Heuristics for a bidding problem.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu

Comput. Oper. Res., 2006

Multiple crossdocks with inventory and time windows.

Ping Chen, Yunsong Guo, Andrew Lim, Brian Rodrigues

Comput. Oper. Res., 2006

2005

A Non-Exact Approach and Experiment Studies on the Combinatorial Auction Problem.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu

Proceedings of the 38th Hawaii International Conference on System Sciences (HICSS-38 2005), 2005

A Multi-exchange Heuristic for a Production Location Problem.

Yunsong Guo, Yanzhi Li, Andrew Lim, Brian Rodrigues

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Minimizing total flow time in single machine environment with release time: an experimental analysis.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Shanhu Yu

Comput. Ind. Eng., 2004

Heuristics for a Brokering Set Packing Problem.

Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2004

2003

Transportation Bid Analysis Optimization with Shipper Input.

Yunsong Guo, Andrew Lim, Brian Rodrigues

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003