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Yunsong Guo
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2020 – today
- 2023
- [c14]Yunsong Guo
, Guosheng Ge
, Qiming Xu
, Shunxin Yang
:
A Survey of Motion Planning Algorithms. ICMML 2023: 28-32 - 2022
- [c13]Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee:
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. WWW 2022: 2205-2215 - [i1]Yun He, Xue Feng, Cheng Cheng, Geng Ji, Yunsong Guo, James Caverlee:
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks. CoRR abs/2203.06801 (2022) - 2021
- [c12]Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo:
Balancing Consistency and Disparity in Network Alignment. KDD 2021: 2212-2222 - 2020
- [c11]Porter Jenkins, Jennifer Zhao, Heath Vinicombe, Anant Subramanian, Arun Prasad, Atillia Dobi, Eileen Li, Yunsong Guo:
Natural Language Annotations for Search Engine Optimization. WWW 2020: 2856-2862
2010 – 2019
- 2010
- [b1]Yunsong Guo:
Supervised learning with implicit preferences and constraints. Cornell University, USA, 2010
2000 – 2009
- 2009
- [c10]Yunsong Guo, Carla P. Gomes:
Learning Optimal Subsets with Implicit User Preferences. IJCAI 2009: 1052-1057 - [c9]Yunsong Guo, Carla P. Gomes:
Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search. IJCAI 2009: 1058-1064 - 2008
- [j8]Yunsong Guo, Yanzhi Li
, Andrew Lim
, Brian Rodrigues:
Tariff concessions in production sourcing. Eur. J. Oper. Res. 187(2): 543-555 (2008) - [c8]Nam Nguyen, Yunsong Guo:
Metric Learning: A Support Vector Approach. ECML/PKDD (2) 2008: 125-136 - 2007
- [j7]Yunsong Guo, Andrew Lim, Brian Rodrigues, Liang Yang:
Minimizing the makespan for Unrelated Parallel Machines. Int. J. Artif. Intell. Tools 16(3): 399-415 (2007) - [j6]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Shanhu Yu:
Machine scheduling performance with maintenance and failure. Math. Comput. Model. 45(9-10): 1067-1080 (2007) - [c7]Nam Nguyen, Yunsong Guo:
Comparisons of sequence labeling algorithms and extensions. ICML 2007: 681-688 - [c6]Yunsong Guo, Bart Selman:
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming. ICTAI (2) 2007: 226-229 - 2006
- [j5]Ping Chen, Yunsong Guo, Andrew Lim
, Brian Rodrigues:
Multiple crossdocks with inventory and time windows. Comput. Oper. Res. 33: 43-63 (2006) - [j4]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Yi Zhu:
Heuristics for a bidding problem. Comput. Oper. Res. 33: 2179-2188 (2006) - [j3]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Jiqing Tang:
Using a Lagrangian Heuristic for a Combinatorial Auction Problem. Int. J. Artif. Intell. Tools 15(3): 481-489 (2006) - [j2]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Yi Zhu:
Carrier assignment models in transportation procurement. J. Oper. Res. Soc. 57(12): 1472-1481 (2006) - 2005
- [c5]Yunsong Guo, Yanzhi Li
, Andrew Lim
, Brian Rodrigues:
A Multi-exchange Heuristic for a Production Location Problem. Australian Conference on Artificial Intelligence 2005: 871-874 - [c4]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Yi Zhu:
A Non-Exact Approach and Experiment Studies on the Combinatorial Auction Problem. HICSS 2005 - [c3]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Jiqing Tang:
Using a Lagrangian Heuristic for a Combinatorial Auction Problem. ICTAI 2005: 99-103 - 2004
- [j1]Yunsong Guo, Andrew Lim
, Brian Rodrigues, Shanhu Yu:
Minimizing total flow time in single machine environment with release time: an experimental analysis. Comput. Ind. Eng. 47(2-3): 123-140 (2004) - [c2]Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu:
Heuristics for a Brokering Set Packing Problem. AI&M 2004 - 2003
- [c1]Yunsong Guo, Andrew Lim, Brian Rodrigues:
Transportation Bid Analysis Optimization with Shipper Input. ICTAI 2003: 290-
Coauthor Index
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