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个人简介

刘圣鑫,哈尔滨工业大学(深圳)计算机科学与技术学院助理教授。2018年于香港城市大学计算机科学学院获得博士学位,随后在新加坡南洋理工数理科学学院从事博士后研究工作。研究领域为理论计算机科学(Theoretical Computer Science)和计算经济学(Computational Economics)。研究兴趣集中于计算社会选择与公平分配(Computational Social Choice and Fair Division),算法博弈论(Algorithmic Game Theory)以及算法设计和分析及其在计算机各领域的应用。所发表论文荣获CCF-A类顶级会议 AAAI-20 最佳学生论文奖(获奖论文比例:~4/7737)和理论计算机知名会议 FAW-20 最佳论文奖。

研究领域

算法设计与分析及其应用

近期论文

查看导师最新文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Joint work with Xinhang Lu, Mashbat Suzuki, and Toby Walsh. ** Mixed Fair Division: A Survey. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Senior Member Track, 2024, Forthcoming. Joint work with Xiaolin Bu, Zihao Li, Jiaxin Song, and Biaoshuai Tao. ** Fair Division with Allocator's Preference. In Proceedings of the Conference on Web and Internet Economics (WINE), 2023, Forthcoming. Joint work with Xiaohui Bei and Xinhang Lu. ** Fair Division with Subjective Divisibility. In Proceedings of the Conference on Web and Internet Economics (WINE), 2023, Forthcoming. Qifan Zhang and Shengxin Liu. Efficient Exact Minimum k-Core Search in Real-World Graphs. In Proceedings of the the Conference on Information and Knowledge Management (CIKM), pages 3391-3401, 2023. Joint work with Zihao Li, Xinhang Lu, and Biaoshuai Tao. ** Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 2808-2816, 2023. Joint work with Xiaolin Bu, Zihao Li, Jiaxin Song, and Biaoshuai Tao. ** Fair Division with Prioritized Agents. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages 5540-5548, 2023. Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, and Raymond Chi-Wing Wong. Cost-Aware and Distance-Constrained Collective Spatial Keyword Query. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(2): 1324-1336, 2023. Kaiqiang Yu, Cheng Long, Shengxin Liu, and Da Yan. Efficient Algorithms for Maximal $k$-Biplex Enumeration. In Proceedings of the ACM International Conference on Management of Data (SIGMOD), pages 860-873, 2022. Joint work with Chung Keung Poon. ** Greedy Algorithms for the Profit-Aware Social Team Formation Problem. Journal of Combinatorial Optimization (JOCO), 44(1): 94-118, 2022. Joint work with Xiaohui Bei, Chung Keung Poon, and Hongao Wang. ** Candidate Selections with Proportional Fairness Constraints. Autonomous Agents and Multi-Agent Systems (JAAMAS), 36(1): 5, 2022. Joint work with Xiaohui Bei, Xinhang Lu, and Hongao Wang. ** Maximin Fairness with Mixed Divisible and Indivisible Goods. Autonomous Agents and Multi-Agent Systems (JAAMAS), 35(2): 34, 2021. Joint work with Vincent Chau, Ken Fong, Elaine Yinling Wang, and Yong Zhang. ** Minimizing Energy on Homogeneous Processors with Shared Memory. Theoretical Computer Science (TCS), 866:160-180, 2021. Joint work with Xiaohui Bei, Xinhang Lu, and Hongao Wang. ** Maximin Fairness with Mixed Divisible and Indivisible Goods. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages 5167-5175, 2021. Joint work with Xiaohui Bei, Zihao Li, Jinyan Liu, and Xinhang Lu. ** Fair Division of Mixed Divisible and Indivisible Goods. Artificial Intelligence (AIJ), 293:103436, 2021. (Best papers of AAAI-20) Joint work with Xiaohui Bei, Zihao Li, Jinyan Liu, and Xinhang Lu. ** Fair Division of Mixed Divisible and Indivisible Goods. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pages 1814-1821, 2020. (Invited to AIJ Fast Track) AAAI-20 Outstanding Student Paper Award Joint work with Xiaohui Bei, Chung Keung Poon, and Hongao Wang. ** Candidate Selections with Proportional Fairness Constraints. In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pages 150-158, 2020. (Invited to JAAMAS Fast Track) Joint work with Vincent Chau, Ken Fong, Elaine Yinling Wang, and Yong Zhang. ** Minimizing Energy on Homogeneous Processors with Shared Memory. In Proceedings of the International Frontiers of Algorithmics Workshop (FAW), pages 83-95, 2020. (Invited to TCS Fast Track) FAW-20 Best Paper Award Shengxin Liu, Carlee Joe-Wong, Jiasi Chen, Christopher G. Brinton, Chee Wei Tan, and Liang Zheng. Economic Viability of a Virtual ISP. IEEE/ACM Transactions on Networking (TON), 28(2): 902-916, 2020. Xiao Zhang, Sheung-Hung Poon, Shengxin Liu, Minming Li, and Victor C. S. Lee. Consistent Dynamic Map Labeling with Fairness and Importance. Computer Aided Geometric Design (CAGD), 81:101892, 2020. Joint work with Minming Li, Hongyu Liang, Chung Keung Poon, and Hao Yuan. ** Asymptotically Optimal Algorithms for Running Max and Min Filters on Random Inputs. IEEE Transactions on Signal Processing (TSP), 66(13): 3421-3435, 2018. Shengxin Liu and Chung Keung Poon. On Mining Approximate and Exact Fault-Tolerant Frequent Itemsets. Knowledge and Information Systems (KAIS), 55(2): 361-391, 2018. Joint work with Chung Keung Poon. ** A Simple Greedy Algorithm for the Profit-Aware Social Team Formation Problem. In Proceedings of the International Conference on Combinatorial Optimization and Applications (COCOA), pages 379-393, 2017. Joint work with Hongyu Liang and Hao Yuan. ** Optimal Algorithms for Running Max and Min Filters on Random Inputs. In Proceedings of the International Computing and Combinatorics Conference (COCOON), pages 507-520, 2015. Shengxin Liu and Chung Keung Poon. On Mining Proportional Fault-Tolerant Frequent Itemsets. In Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA), pages 342-356, 2014.

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