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ORCIDChenhao Ma 0001
Person information
- affiliation: The Chinese University of Hong Kong, Shenzhen, China
Other persons with the same name
- Chenhao Ma 0002 — Yanshan University, Qinhuangdao, China
- Chenhao Ma 0003 — Jilin University, Changchun, China
- Chenhao Ma 0004
![[0000-0001-8807-8803]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8807-8803")
— Beijing Institute of Technology, China - Chenhao Ma 0005 — Southwest Forestry University, College of Big Data and Intelligent Engineering, Kunming, China
- Chenhao Ma 0006 — Southeast University, School of Integrated Circuits, National Center of Technology Innovation for EDA, China
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2020 – today
- 2025
[j22]Xiaolin Han, Yikun Zhang, Chenhao Ma, Xuequn Shang, Reynold Cheng, Tobias Grubenmann, Xiaodong Li:
Hypergraph-Enhanced Multi-Granularity Stochastic Weight Completion in Sparse Road Networks. ACM Trans. Knowl. Discov. Data 19(3): 77:1-77:23 (2025)- [i11]Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo:
CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. CoRR abs/2503.22740 (2025) - [i10]Yuyang Liang, Yankai Chen, Yixiang Fang, Laks V. S. Lakshmanan, Chenhao Ma:
TRACE: Intra-visit Clinical Event Nowcasting via Effective Patient Trajectory Encoding. CoRR abs/2503.23072 (2025) - 2024
- [j21]Xiaolin Han, Tobias Grubenmann, Chenhao Ma, Xiaodong Li, Wenya Sun, Sze Chun Wong, Xuequn Shang, Reynold Cheng:
FDM: Effective and efficient incident detection on sparse trajectory data. Inf. Syst. 125: 102418 (2024) - [j20]Yuanyuan Zeng, Yixiang Fang, Chenhao Ma, Xu Zhou, Kenli Li:
Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs. Proc. ACM Manag. Data 2(1): 22:1-22:25 (2024) - [j19]Yingli Zhou, Qingshuo Guo, Yixiang Fang, Chenhao Ma:
A Counting-based Approach for Efficient k-Clique Densest Subgraph Discovery. Proc. ACM Manag. Data 2(3): 119 (2024) - [j18]Chunxu Lin, Wensheng Luo, Yixiang Fang, Chenhao Ma, Xilin Liu, Yuchi Ma:
On Efficient Large Sparse Matrix Chain Multiplication. Proc. ACM Manag. Data 2(3): 156 (2024) - [j17]Yuanyuan Zeng, Chenhao Ma, Yixiang Fang:
Distributed Shortest Distance Labeling on Large-Scale Graphs. Proc. VLDB Endow. 17(10): 2641-2653 (2024) - [j16]Yingli Zhou, Yixiang Fang, Chenhao Ma, Tianci Hou, Xin Huang:
Efficient Maximal Motif-Clique Enumeration over Large Heterogeneous Information Networks. Proc. VLDB Endow. 17(11): 2946-2959 (2024) - [j15]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. 36(12): 9418-9432 (2024) - [j14]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han, Xiaodong Li:
Accelerating directed densest subgraph queries with software and hardware approaches. VLDB J. 33(1): 207-230 (2024) - [j13]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and effective algorithms for densest subgraph discovery and maintenance. VLDB J. 33(5): 1427-1452 (2024) - [c13]Xiaolin Han, Xiurui Hu, Chenhao Ma, Xuequn Shang:
TRoute: Dynamic Time-Dependent Route Recommendation on Road Networks. WISA 2024: 573-585 - [c12]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c11]Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng:
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation. ACL (Findings) 2024: 5456-5471 - [c10]Sida Lin, Zhouyi Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Shan Dai, Guangli Lu:
Effective Job-market Mobility Prediction with Attentive Heterogeneous Knowledge Learning and Synergy. CIKM 2024: 3897-3901 - [c9]Yucan Guo, Chenhao Ma, Yixiang Fang:
Efficient Core Decomposition Over Large Heterogeneous Information Networks. ICDE 2024: 2393-2406 - [c8]Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma:
Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. KDD 2024: 278-287 - [c7]Jiayang Pang, Chenhao Ma, Yixiang Fang:
A Similarity-based Approach for Efficient Large Quasi-clique Detection. WWW 2024: 401-409 - [i9]Jingbang Chen, Qiuyang Mang, Hangrui Zhou, Richard Peng, Yu Gao, Chenhao Ma:
Scalable Algorithm for Finding Balanced Subgraphs with Tolerance in Signed Networks. CoRR abs/2402.05006 (2024) - [i8]Jinyang Li, Nan Huo, Yan Gao, Jiayi Shi, Yingxiu Zhao, Ge Qu, Yurong Wu, Chenhao Ma, Jian-Guang Lou, Reynold Cheng:
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents. CoRR abs/2403.05307 (2024) - [i7]Ge Qu, Jinyang Li, Bowen Li, Bowen Qin, Nan Huo, Chenhao Ma, Reynold Cheng:
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation. CoRR abs/2405.15307 (2024) - [i6]Qiuyang Mang, Jingbang Chen, Hangrui Zhou, Yu Gao, Yingli Zhou, Richard Peng, Yixiang Fang, Chenhao Ma:
Efficient Historical Butterfly Counting in Large Temporal Bipartite Networks via Graph Structure-aware Index. CoRR abs/2406.00344 (2024) - [i5]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. CoRR abs/2406.04738 (2024) - [i4]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - 2023
- [j12]Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao:
Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery. Proc. ACM Manag. Data 1(2): 169:1-169:27 (2023) - [j11]Haoxuan Xie, Yixiang Fang, Yuyang Xia, Wensheng Luo, Chenhao Ma:
On Querying Connected Components in Large Temporal Graphs. Proc. ACM Manag. Data 1(2): 170:1-170:27 (2023) - [j10]Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V. S. Lakshmanan:
MOSER: Scalable Network Motif Discovery using Serial Test. Proc. VLDB Endow. 17(3): 591-603 (2023) - [c6]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. AAAI 2023: 13076-13084 - [c5]Wensheng Luo, Zhuo Tang, Yixiang Fang, Chenhao Ma, Xu Zhou:
Scalable Algorithms for Densest Subgraph Discovery. ICDE 2023: 287-300 - [c4]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:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS 2023 - [i3]Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li:
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing. CoRR abs/2301.07507 (2023) - [i2]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:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i1]Wensheng Luo, Chenhao Ma, Yixiang Fang, Laks V. S. Lakshmanan:
A Survey of Densest Subgraph Discovery on Large Graphs. CoRR abs/2306.07927 (2023) - 2022
- [j9]Xiaolin Han, Reynold Cheng, Chenhao Ma, Tobias Grubenmann:
DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection. Proc. VLDB Endow. 15(7): 1493-1505 (2022) - [j8]Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li:
Effective Community Search over Large Star-Schema Heterogeneous Information Networks. Proc. VLDB Endow. 15(11): 2307-2320 (2022) - [j7]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
Finding Locally Densest Subgraphs: A Convex Programming Approach. Proc. VLDB Endow. 15(11): 2719-2732 (2022) - [j6]Yixiang Fang, Wensheng Luo, Chenhao Ma:
Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques. Proc. VLDB Endow. 15(12): 3766-3769 (2022) - [j5]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:
The Social Technology and Research (STAR) Lab in the University of Hong Kong. SIGMOD Rec. 51(2): 63-68 (2022) - [c3]Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma, Xiaodong Li:
Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks. SDM 2022: 64-72 - [c2]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Xiaolin Han:
A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery. SIGMOD Conference 2022: 845-859 - 2021
- [j4]Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao:
On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. 14(6): 1111-1123 (2021) - [j3]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Directed Densest Subgraph Discovery. SIGMOD Rec. 50(1): 33-40 (2021) - [j2]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
On Directed Densest Subgraph Discovery. ACM Trans. Database Syst. 46(4): 13:1-13:45 (2021) - 2020
- [c1]Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V. S. Lakshmanan, Wenjie Zhang, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs. SIGMOD Conference 2020: 1051-1066
2010 – 2019
- 2019
- [j1]Chenhao Ma, Reynold Cheng, Laks V. S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li:
LINC: A Motif Counting Algorithm for Uncertain Graphs. Proc. VLDB Endow. 13(2): 155-168 (2019)
Coauthor Index
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