博士（香港大学）

硕士（哈尔滨工业大学）

学士（哈尔滨工程大学）

方一向现为香港中文大学（深圳）数据科学学院副教授。他于2010年获哈尔滨工程大学工学学士学位，2013年获哈尔滨工业大学工学硕士学位，2017年获香港大学计算机科学系哲学博士学位，之后在澳大利亚新南威尔士大学继续从事学术研究工作。他曾于2016年，作为访问学者在新加坡南洋理工大学学习。

方博士主要研究大数据管理、挖掘、人工智能等相关课题，特别是面向大规模图数据的数据管理、数据挖掘、大模型技术、图神经网络、表达学习等。已在数据库、数据挖掘、人工智能等领域的国际顶级会议/期刊（如VLDB、SIGMOD、ICDE、NeurIPS、WWW、AAAI、IJCAI、TODS、VLDBJ、TKDE等）上累计发表论文100余篇，包括中国计算机学会认定的A类论文（即CCF-A）70余篇，第一/通讯作者CCF-A论文50余篇。其中一项代表性研究成果的论文被评为SIGMOD 2020会议的最佳论文之一（~4/458），并荣获2021 ACM SIGMOD Research Highlight Award。方博士还荣获2025年香港中文大学（深圳）教学成果特等奖。目前担任国际知名期刊《Information Processing & Management》（CCF-B类期刊）的编委、多个顶级会议（如VLDB、ICDE、KDD、WWW、AAAI、IJCAI等）的程序委员会成员、多个顶级期刊（如TKDE、VLDBJ等）的审稿人、中国计算机学会数据库专业委员会的执行委员。

[1] Yuyang Xia, Yixiang Fang*, Wensheng Luo. Efficiently Counting Triangles in Large Temporal Graphs. ACM International Conference on Management of Data (SIGMOD), 3(1):38:1-38:27, 2025.

[2] Yuanyuan Zeng, Yixiang Fang*, Wensheng Luo, Chenhao Ma. Accelerating Skyline Path Enumeration with a Core Attribute Index on Multi-attribute Graphs. ACM International Conference on Management of Data (SIGMOD), 3(3):124:1- 124:1:26, 2025.

[3] Shu Wang, Yixiang Fang*, Wensheng Luo. Searching and Detecting Structurally Similar Communities in Large Heterogeneous Information Networks. Proceedings of the VLDB Endowment (PVLDB), 18(5): 1425-1438, 2025.

[4] Yingli Zhou, Qingshuo Guo, Yixiang Fang*. Efficient k-Clique Densest Subgraph Discovery: Towards Bridging Practice and Theory. Proceedings of the VLDB Endowment (PVLDB), 18(10): 3490-3503, 2025.

[5] Yuanyuan Zeng, Yixiang Fang, Kun Chen, Yangfan Li, Chenhao Ma. Efficient Maintenance of 2-Hop Labeling Index on Dynamic Small-World Graphs. Proceedings of the VLDB Endowment (PVLDB), 18(7): 2005-2017, 2025.

[6] Yufan Sheng, Xin Cao, Kaiqi Zhao, Yixiang Fang, Jianzhong Qi, Wenjie Zhang, Christian S. Jensen. ACE: A Cardinality Estimator for Set-Valued Queries. Proceedings of the VLDB Endowment (PVLDB), 18(7): 2112-2125, 2025.

[7] Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Qingyu Shi, Richard Peng, Yixiang Fang, Chenhao Ma. Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. Proceedings of the VLDB Endowment (PVLDB), 18(6): 1607-1620, 2025.

[8] Yankai Chen, Taotao Wang, Yixiang Fang*, Yunyu Xiao. Semi-supervised Node Importance Estimation with Informative Distribution Modeling for Uncertainty Regularization. The ACM Web Conference (formerly known as International World Wide Web Conference (WWW)), pages 3108-3118, 2025.

[9] Yuyang Liang, Yankai Chen, Yixiang Fang, Laks. V.S. Lakshmanan, Chenhao Ma. TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. The ACM Web Conference (formerly known as International World Wide Web Conference (WWW)), pages 1118-1122, 2025.

[10] Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li. Bridging Knowledge Gap between Image Inpainting and Large-Area Visible Watermark Removal. AAAI Conference on Artificial Intelligence (AAAI), 39(5): 4589-4597, 2025.

[11] Mengyao Li, Zhibang Yang, Xu Zhou, Yixiang Fang, Kenli Li, Keqin Li. Clustering on Attributed Graphs: From Single-view to Multi-view. ACM Computing Surveys, 57(7): 163:1-163:36, 2025.

[12] Yuanyuan Zeng, Yixiang Fang*, Chenhao Ma, Xu Zhou, Kenli Li. Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs. ACM International Conference on Management of Data (SIGMOD), 2(1):22:1-22:25, 2024.

[13] Yingli Zhou, Qingshuo Guo, Yixiang Fang*, Chenhao Ma. A Counting-based Approach for Efficient 𝑘-Clique Densest Subgraph Discovery. ACM International Conference on Management of Data (SIGMOD), 2(3):156:2-156:27, 2024.

[14] Chunxu Lin, Wensheng Luo, Yixiang Fang*, Chenhao Ma, Xilin Liu, Yuchi Ma. On Efficient Large Sparse Matrix Chain Multiplication. ACM International Conference on Management of Data (SIGMOD), 2(3):119:2-119:27, 2024.

[15] Wensheng Luo, Qiaoyuan Yang, Yixiang Fang*, Xu Zhou. Efficient Core Maintenance in Large Bipartite Graphs. ACM International Conference on Management of Data (SIGMOD), 1(3):208:1-208:26, 2024.

[16] Yingli Zhou, Qingshuo Guo, Yi Yang, Yixiang Fang*, Chenhao Ma, Laks V.S. Lakshmanan. In-depth Analysis of Densest Subgraph Discovery in a Unified Framework. Proceedings of the VLDB Endowment (PVLDB), 18(4): 1131 - 1144, 2024.

[17] Zheng Wu, Xuliang Zhu, Yixiang Fang, Jianliang Xu, Xin Huang. Interactive Graph Search for Multiple Targets on DAGs. Proceedings of the VLDB Endowment (PVLDB), 18(4): 1091-1103, 2024.

[18] Yingli Zhou, Yixiang Fang*, Chenhao Ma, Tianci Hou, Xin Huang. Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks. Proceedings of the VLDB Endowment (PVLDB), 17(11): 2946 - 2959, 2024.

[19] Wensheng Luo, Yixiang Fang*, Chunxu Lin, Yingli Zhou. Efficient Parallel D-core Decomposition at Scale. Proceedings of the VLDB Endowment (PVLDB), 17(10): 2654-2667, 2024.

[20] Yuanyuan Zeng, Chenhao Ma, Yixiang Fang. Distributed Shortest Distance Labeling on Large-Scale Graphs. Proceedings of the VLDB Endowment (PVLDB), 17(10): 2641-2653, 2024.

[21] Yucan Guo, Chenhao Ma, Yixiang Fang. Efficient Core Decomposition over Large Heterogeneous Information Networks. IEEE International Conference on Data Engineering (ICDE), pages 2393-2406, 2024.

[22] Jiayang Pang, Chenhao Ma, Yixiang Fang. A Similarity-based Approach for Efficient Large Quasi-clique Detection. The ACM Web Conference (formerly known as International World Wide Web Conference (WWW)), pages 401-409, 2024.

[23] Yankai Chen, Yixiang Fang*, Qiongyan Wang, Xin Cao, Irwin King. Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI Conference on Artificial Intelligence (AAAI), pages 8302-8310, 2024.

[24] Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King. Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI Conference on Artificial Intelligence (AAAI), pages 9368-9376, 2024.

[25] Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li. Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. AAAI Conference on Artificial Intelligence (AAAI), pages 2983-2990, 2024.

[26] Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King. Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 2967-2979, 2024.

[27] Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu. Dynamic Graph Embedding via Meta-Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(7): 2967-2979, 2024.

[28] Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao. Efficient and Effective Algorithms for Densest Subgraph Discovery and Maintenance. The VLDB Journal (VLDBJ), 33(5): 1427-1452, 2024.

[29] Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Xiaolin Han, Xiaodong Li. Accelerating Directed Densest Subgraph Queries with Software and Hardware Approaches. The VLDB Journal (VLDBJ), 33(1): 207-230, 2024.

[30] Haoxuan Xie, Yixiang Fang*, Yuyang Xia, Wensheng Luo, Chenhao Ma. On Querying Connected Components in Large Temporal Graphs. ACM International Conference on Management of Data (SIGMOD), 1(2):170:1-170:27, 2023.

[31] Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao. Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. ACM International Conference on Management of Data (SIGMOD), 1(2):169:1-169:27, 2023.

[32] Yufan Sheng, Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang. WISK: A Workload-aware Learned Index for Spatial Keyword Queries. ACM International Conference on Management of Data (SIGMOD), 1(2):187:1-187:27, 2023.

[33] Yingli Zhou, Yixiang Fang*, Wensheng Luo, Yunming Ye. Influential Community Search over Large Heterogeneous Information Networks. Proceedings of the VLDB Endowment (PVLDB), 16(8):2047-2060, 2023.

[34] Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King. Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. The ACM Web Conference (formerly known as International World Wide Web Conference (WWW)), pages 3164-3172, 2023.

[35] Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou. Scalable Algorithms for Densest Subgraph Discovery. IEEE International Conference on Data Engineering (ICDE), pages 285-298, 2023.

[36] Tongfeng Weng, Xu Zhou, Yixiang Fang, Kian-Lee Tan, Kenli Li. Finding Top-k Important Edges on Bipartite Graphs: Ego-betweenness Centrality-based Approaches. IEEE International Conference on Data Engineering (ICDE), pages 2406-2419, 2023.

[37] Linhao Luo, Yixiang Fang*, Moli Lu, Xin Cao, Xiaofeng Zhang, Wenjie Zhang. GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(12):12693-12707, 2023.

[38] Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang. Cohesive Subgraph Search over Big Heterogeneous Information Networks [Book]. Springer Briefs in Computer Science, Springer, ISBN 978-3-030-97567-8, pages 1-63, 2022.

[39] Chenhao Ma, Yixiang Fang*, Reynold Cheng, Laks V.S. Lakshmanan, Xiaolin Han. A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. ACM International Conference on Management of Data (SIGMOD), pages 845-859, 2022.

[40] Yixiang Fang, Wensheng Luo, Chenhao Ma. Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques. Proceedings of the VLDB Endowment (PVLDB), 15(12): 3766-3769, 2022.

[41] Yangqin Jiang, Yixiang Fang*, Chenhao Ma, Xin Cao, Chunshan Li. Effective Community Search over Large Star-Schema Heterogeneous Information Networks. Proceedings of the VLDB Endowment (PVLDB), 15(11): 2307-2320,2022.

[42] Chenji Huang, Yixiang Fang*, Xuemin Lin, Xin Cao, Wenjie Zhang, Maria Orlowska. Estimating Node Importance Values in Heterogeneous Information Networks. IEEE International Conference on Data Engineering (ICDE), pages 846-858, 2022.

[43] Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Sibo Wang, Xuemin Lin, Liang Feng. Constrained Path Search with Submodular Function Maximization. IEEE International Conference on Data Engineering (ICDE), pages 325-337, 2022.

[44] Yixiang Fang, Kai Wang, Xuemin Lin, Wenjie Zhang. Cohesive Subgraph Search over Big Heterogeneous Information Networks: Applications, Challenges, and Solutions. ACM International Conference on Management of Data (SIGMOD), pages 2829-2838, 2021.

[45] Chenhao Ma, Yixiang Fang*, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. On Directed Densest Subgraph Discovery. ACM Transactions on Database Systems (TODS), 46(3):13:1-13:45, 2021.

[46] Yixing Yang, Yixiang Fang*, Maria Orlowska, Wenjie Zhang, Xuemin Lin. Efficient Bi-triangle Counting for Large Bipartite Networks. Proceedings of the VLDB Endowment (PVLDB), 14(6): 984-996, 2021.

[47] Yu Hao, Xin Cao, Yufan Sheng, Yixiang Fang, Wei Wang. KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network. The Annual Conference on Neural Information Processing Systems (NeurIPS), pages 1700-1712, 2021.

[48] Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. Efficient Directed Densest Subgraph Discovery. ACM SIGMOD Record, 50(1):33-40, 2021. (ACM SIGMOD Research Highlight Award)

[49] Bolong Zheng, Lingfeng Ming, Qi Hu, Yixiang Fang, Kai Zheng, Guohui Li. Dynamic Taxi Route Planning based on Deep Reinforcement Learning. International Conference on Spatial Data and Intelligence (SpatialDI)/Journal of Computer Research and Development, 2021. (Best Paper Award)

[50] Yixiang Fang, Yixing Yang, Wenjie Zhang, Xuemin Lin, Xin Cao. Effective and Efficient Community Search over Large Heterogeneous Information Networks. Proceedings of the VLDB Endowment (PVLDB), 13(6): 854-867, 2020.

[51] Yixiang Fang, Xin Huang, Lu Qin, Ying Zhang, Wenjie Zhang, Reynold Cheng, Xuemin Lin. A Survey of Community Search Over Big Graphs. The VLDB Journal (VLDBJ), 29(1): 353-392, 2020.

[52] Chenhao Ma, Yixiang Fang*, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. ACM International Conference on Management of Data (SIGMOD), pages 1051-1066, 2020. (One of the four Best Papers in SIGMOD'2020, rate: 4/458)

[53] Yixing Yang, Yixiang Fang*, Xuemin Lin, Wenjie Zhang. Effective and Efficient Truss Computation Over Large Heterogeneous Information Networks. IEEE International Conference on Data Engineering (ICDE), pages 901-912, 2020.

[54] Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin C.C. Chang, Xuemin Lin. MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. IEEE International Conference on Data Engineering (ICDE), pages 1722-1725, 2020.

[55] Yankai Chen, Jie Zhang, Yixiang Fang*, Xin Cao, Irwin King. Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. International Joint Conferences on Artificial Intelligence (IJCAI), pages 3544-3550, 2020.

[56] Yu Hao, Xin Cao, Yixiang Fang*, Xike Xie, Sibo Wang. Inductive Link Prediction for Nodes with Only Attribute Information. International Joint Conferences on Artificial Intelligence (IJCAI), pages 1209-1215, 2020.

[57] Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao. Optimal Region Search with Submodular Maximization. International Joint Conferences on Artificial Intelligence (IJCAI), pages 1216-1222, 2020.

[58] Hongmei Chen, Yixiang Fang, Ying Zhang, Wenjie Zhang, Lizhen Wang. ESPM: Efficient Spatial Pattern Matching. IEEE Transactions on Knowledge and Data Engineering (TKDE), 32(6): 1227-1233, 2020.

[59] Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V.S. Lakshmanan, Xuemin Lin. Efficient Algorithms for Densest Subgraph Discovery. Proceedings of the VLDB Endowment (PVLDB), 12(11): 1719-1732, 2019.

[60] Yixiang Fang, Yun Li, Reynold Cheng, Nikos Mamoulis, Gao Cong. Evaluating Pattern Matching Queries for Spatial Databases. The VLDB Journal (VLDBJ), 28(5): 649-673, 2019.

[61] Yixiang Fang, Zhongran Wang, Reynold Cheng, Hongzhi Wang, Jiafeng Hu. Effective and Efficient Community Search over Large Directed Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(11): 2093-2107, 2019.

[62] Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen. On Spatial-Aware Community Search. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(4): 783-798, 2019.

[63] Yankai Chen, Yixiang Fang*, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang. Exploring Communities in Large Profiled Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31(8): 1624-1629, 2019.

[64] Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Tobias Grubenmann, Yixiang Fang*, Xiaodong Li. LINC: A Motif Counting Algorithm for Uncertain Graphs. Proceedings of the VLDB Endowment (PVLDB), 13(2): 155-168, 2019.

[65] Jiafeng Hu, Reynold Cheng, Kevin C.C. Chang, Aravind Sankar, Yixiang Fang*, Brian Y. H. Lam. Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. IEEE International Conference on Data Engineering (ICDE), pages 746-757, 2019.

[66] Yixiang Fang, Reynold Cheng, Gao Cong, Nikos Mamoulis, Yun Li. On Spatial Pattern Matching. IEEE International Conference on Data Engineering (ICDE), pages 293-304, 2018.

[67] Yixiang Fang, Reynold Cheng, Jikun Wang, Budiman, Gao Cong, Nikos Mamoulis. SpaceKey: Exploring Patterns in Spatial Databases. IEEE International Conference on Data Engineering (ICDE), pages 1577-1580, 2018.

[68] Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang. PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(3): 559-572, 2018.

[69] Yixiang Fang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu. Effective Community Search over Large Spatial Graphs. Proceedings of the VLDB Endowment (PVLDB), 10(6): 709-720, 2017.

[70] Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu, Kai Huang. C-Explorer: Browsing Communities in Large Graphs. Proceedings of the VLDB Endowment (PVLDB), 10(12): 1885-1888, 2017.

[71] Yixiang Fang, Reynold Cheng, Yankai Chen, Siqiang Luo, Jiafeng Hu. Effective and Efficient Attributed Community Search. The VLDB Journal (VLDBJ), 26(6): 803-828, 2017.

[72] Jiafeng Hu, Xiaowei Wu, Reynold Cheng, Siqiang Luo, Yixiang Fang. On Minimal Steiner Maximum-Connected Subgraph Queries. IEEE Transactions on Knowledge and Data Engineering (TKDE), 29(11): 2455-2469, 2017.

[73] Yixiang Fang, Reynold Cheng, Wenbin Tang, Silviu Maniu, Xuan Yang. Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(3): 785-800, 2016.

[74] Yixiang Fang, Reynold Cheng, Siqiang Luo, Jiafeng Hu. Effective Community Search for Large Attributed Graphs. Proceedings of the VLDB Endowment (PVLDB), 9(12): 1233-1244, 2016.

[75] Zhenguo Li, Yixiang Fang, Qin Liu, Jiefeng Cheng, Reynold Cheng, John C.S. Lui. Walking in the Cloud: Parallel SimRank at Scale. Proceedings of the VLDB Endowment (PVLDB), 9(1): 24-35, 2015.

The star (*) indicates corresponding author.