Chenhao Ma

According to our database, Chenhao Ma authored at least 24 papers between 2019 and 2024.

Collaborative distances:

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

2024

Accelerating directed densest subgraph queries with software and hardware approaches.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li

VLDB J., January, 2024

Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents.

Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Yurong Wu, Chenhao Ma, Jian-Guang Lou, Reynold Cheng

CoRR, 2024

Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks.

Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma

CoRR, 2024

Influential Exemplar Replay for Incremental Learning in Recommender Systems.

Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MOSER: Scalable Network Motif Discovery using Serial Test.

Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan

Proc. VLDB Endow., November, 2023

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery.

Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao

Proc. ACM Manag. Data, 2023

On Querying Connected Components in Large Temporal Graphs.

Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma

Proc. ACM Manag. Data, 2023

A Survey of Densest Subgraph Discovery on Large Graphs.

Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan

CoRR, 2023

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, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

CoRR, 2023

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, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Algorithms for Densest Subgraph Discovery.

Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

SIGMOD Rec., 2022

Finding Locally Densest Subgraphs: A Convex Programming Approach.

Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han

Proc. VLDB Endow., 2022

Effective Community Search over Large Star-Schema Heterogeneous Information Networks.

Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li

Proc. VLDB Endow., 2022

DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection.

Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann

Proc. VLDB Endow., 2022

Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques.

Yixiang Fang, Wensheng Luo, Chenhao Ma

Proc. VLDB Endow., 2022

A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks.

Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

2021

On Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

ACM Trans. Database Syst., 2021

Efficient Directed Densest Subgraph Discovery.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

SIGMOD Rec., 2021

On Analyzing Graphs with Motif-Paths.

Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao

Proc. VLDB Endow., 2021

2020

Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs.

Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

LINC: A Motif Counting Algorithm for Uncertain Graphs.

Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li

Proc. VLDB Endow., 2019