Chenhao Ma

Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy
Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma*, Yixiang Fang, Shan Dai and Guangli Lu
In The Conference on Information and Knowledge Management (CIKM), Short, 2024.
Paper

Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing
Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King.
In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Paper

Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks
Yingli Zhou, Yixiang Fang, Chenhao Ma, Tianci Hou, Xin Huang
In Proceedings of the VLDB Endowment (PVLDB), 2024.
Paper

Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks
Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma*
In SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
Paper

Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation
Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng
In Annual Meeting of the Association for Computational Linguistics (ACL), Findings, 2024.
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FDM: Effective and Efficient Incident Detection on Sparse Trajectory Data
Xiaolin Han, Tobias Grubenmann, Chenhao Ma*, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng
In Information Systems, 2024.
Paper

TRoute: Dynamic Time-dependent Route Recommendation on Road Networks
Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang.
In 21th International Conference on Web Information Systems and Applications (WISA), 2024.

Efficient and Effective Algorithms for Densest Subgraph Discovery and Maintenance.
Yichen Xu, Chenhao Ma*, Yixiang Fang, Zhifeng Bao
In The VLDB Journal, 2024.
Paper

Distributed Shortest Distance Labeling on Large-Scale Graphs.
Yuanyuan Zeng, Chenhao Ma*, Yixiang Fang
In Proceedings of the VLDB Endowment (PVLDB), 17, 2024.
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Efficient Core Decomposition over Large Heterogeneous Information Networks
Yucan Guo, Chenhao Ma*, Yixiang Fang
In IEEE International Conference on Data Engineering (ICDE), 2024.
Paper

A Counting-based Approach for Efficient 𝑘-Clique Densest Subgraph Discovery
Yingli Zhou, Qingshuo Guo, Yixiang Fang, Chenhao Ma
In Proceedings of the 2024 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.
Paper

On Efficient Large Sparse Matrix Chain Multiplication
Chunxu Lin, Wensheng Luo, Yixiang Fang, Chenhao Ma, Xilin Liu, Yuchi Ma
In Proceedings of the 2024 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.
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A Similarity-based Approach for Efficient Large Quasi-clique Detection
Jiayang Pang, Chenhao Ma*, Yixiang Fang
In ACM TheWebConf 2024 Conference (WWW), 2024.
Paper

Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs
Yuanyuan Zeng, Yixiang Fang, Chenhao Ma*, Xu Zhou, Kenli Li
In Proceedings of the 2024 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.
Paper

Influential Exemplar Replay for Incremental Learning in Recommender Systems
Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King
In AAAI Conference on Artificial Intelligence (AAAI), 2024.
Paper

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

MOSER: Scalable Network Motif Discovery using Serial Test
Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Laks V.S. Lakshmanan, Reynold Cheng
In Proceedings of the VLDB Endowment (PVLDB), 17, 2023.
Paper

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
Jinyang Li, Binyuan Hui, GE QU, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chang, Fei Huang, Reynold Cheng, Yongbin Li
In NeurIPS, Datasets and Benchmarks Track, Spotlight, 2023.
Paper | Slides

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery
Yichen Xu, Chenhao Ma*, Yixiang Fang, Zhifeng Bao
In Proceedings of the 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2023.
Paper

On Querying Connected Components in Large Temporal Graphs.
Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma
In Proceedings of the 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2023.
Paper

Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li
In AAAI Conference on Artificial Intelligence (AAAI), 2023.
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Scalable Algorithms for Densest Subgraph Discovery
Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou.
In IEEE International Conference on Data Engineering (ICDE), 2023.
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Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques
Yixiang Fang, Wensheng Luo, Chenhao Ma.
In Proceedings of the VLDB Endowment (PVLDB), 15, 2022.
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Finding Locally Densest Subgraphs: A Convex Programming Approach
Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Xiaolin Han
In Proceedings of the VLDB Endowment (PVLDB), 15, 2022.
Paper

Effective Community Search over Large Star-Schema Heterogeneous Information Networks
Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li
In Proceedings of the VLDB Endowment (PVLDB), 15, 2022.
Paper

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection
Xiaolin Han, Reynold Cheng, Chenhao Ma* and Tobias Grubenmann
In Proceedings of the VLDB Endowment (PVLDB), 15(7): 1493-1505, 2022.
Paper

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

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks
Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma*, Xiaodong Li
In SIAM International Conference on Data Mining (SDM), pages 64-72, 2022.
Paper

The Social Technology and Research (STAR) Lab in the University of Hong Kong
Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liu, Victor Y.L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao
In ACM SIGMOD Record, 51, 2022.

On Directed Densest Subgraph Discovery
Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin
In ACM Transactions on Database Systems (TODS), 46(4):1-45, 2021.
Invited as one of four Best of SIGMOD 2020.
Paper

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

On Analyzing Graphs with Motif-Paths
Xiaodong Li, Reynold Cheng, Kevin Chen Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao
In Proceedings of the VLDB Endowment (PVLDB), 14(6): 1111-1123, 2021.
Paper

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

Motif Paths: A New Approach for Analysing Higher-order Semantics between Graph Nodes
Xiaodong Li, Tse Nam Chan, Reynold Cheng, Caihua Shan, Chenhao Ma, Kevin Chang
In HKU Technical Reports, 2019.

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