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Jiaqi Ma 0001
Person information
- affiliation: University of Michigan, School of Information, Ann Arbor, MI, USA
Other persons with the same name
- Jiaqi Ma — disambiguation page
- Jiaqi Ma 0002
— School of Computer, Wuhan University, China
- Jiaqi Ma 0003
- Jiaqi Ma 0004 — University of Illinois Urbana-Champaign, UIUC, IL, USA (and 1 more)
- Jiaqi Ma 0005
- Jiaqi Ma 0006
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2020 – today
- 2024
- [j4]Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei:
PM2.5 forecasting under distribution shift: A graph learning approach. AI Open 5: 23-29 (2024) - [j3]Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma:
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? Trans. Mach. Learn. Res. 2024 (2024) - [i18]Junwei Deng, Ting-Wei Li, Shichang Zhang, Jiaqi Ma:
Efficient Ensembles Improve Training Data Attribution. CoRR abs/2405.17293 (2024) - [i17]Benhao Huang, Yingzhuo Yu, Jin Huang, Xingjian Zhang, Jiaqi Ma:
DCA-Bench: A Benchmark for Dataset Curation Agents. CoRR abs/2406.07275 (2024) - 2023
- [j2]Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei:
Partition-Based Active Learning for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c18]Yutong Xie
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. ICLR 2023 - [c17]Jiaqi Ma
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD 2023: 5870-5871 - [c16]Ting Wei Li, Qiaozhu Mei, Jiaqi Ma:
A Metadata-Driven Approach to Understand Graph Neural Networks. NeurIPS 2023 - [i16]Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma:
Can LLMs Effectively Leverage Graph Structural Information: When and Why. CoRR abs/2309.16595 (2023) - [i15]Ting Wei Li, Qiaozhu Mei, Jiaqi Ma:
A Metadata-Driven Approach to Understand Graph Neural Networks. CoRR abs/2310.19263 (2023) - [i14]Junwei Deng, Jiaqi Ma:
Computational Copyright: Towards A Royalty Model for AI Music Generation Platforms. CoRR abs/2312.06646 (2023) - 2022
- [j1]Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. J. Mach. Learn. Res. 23: 34:1-34:29 (2022) - [c15]Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei:
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. LoG 2022: 7 - [c14]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. WSDM 2022: 675-685 - [c13]Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. WSDM 2022: 715-725 - [i13]Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei:
Partition-Based Active Learning for Graph Neural Networks. CoRR abs/2201.09391 (2022) - [i12]Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei:
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. CoRR abs/2212.04537 (2022) - 2021
- [c12]Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei:
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS 2021: 928-936 - [c11]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. ICLR 2021 - [c10]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Subgroup Generalization and Fairness of Graph Neural Networks. NeurIPS 2021: 1048-1061 - [c9]Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein:
GReS: Workshop on Graph Neural Networks for Recommendation and Search. RecSys 2021: 780-782 - [i11]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. CoRR abs/2106.10785 (2021) - [i10]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Subgroup Generalization and Fairness of Graph Neural Networks. CoRR abs/2106.15535 (2021) - [i9]Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei:
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. CoRR abs/2112.12542 (2021) - [i8]Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. CoRR abs/2112.15575 (2021) - 2020
- [c8]Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei:
Towards More Practical Adversarial Attacks on Graph Neural Networks. NeurIPS 2020 - [c7]Jiaqi Ma
Off-policy Learning in Two-stage Recommender Systems. WWW 2020: 463-473 - [i7]Jiaqi Ma
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access. CoRR abs/2006.05057 (2020) - [i6]Jiaqi Ma
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR abs/2006.05067 (2020) - [i5]Weijing Tang, Jiaqi Ma
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. CoRR abs/2008.08637 (2020) - [i4]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. CoRR abs/2010.02089 (2020)
2010 – 2019
- 2019
- [c6]Jiaqi Ma
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning. AAAI 2019: 216-223 - [c5]Jiaqi Ma
A Flexible Generative Framework for Graph-based Semi-supervised Learning. NeurIPS 2019: 3276-3285 - [i3]Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. CoRR abs/1905.10769 (2019) - [i2]Jiaqi Ma, Qiaozhu Mei:
Graph Representation Learning via Multi-task Knowledge Distillation. CoRR abs/1911.05700 (2019) - 2018
- [c4]Jiaqi Ma
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. KDD 2018: 1930-1939 - 2017
- [c3]Cheng Li, Jiaqi Ma
DeepCas: An End-to-end Predictor of Information Cascades. WWW 2017: 577-586 - 2016
- [c2]Jie Zhang, Jiaqi Ma
Learning cascaded influence under partial monitoring. ASONAM 2016: 255-262 - [c1]Lifang He, Chun-Ta Lu, Jiaqi Ma
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD 2016: 875-884 - [i1]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: an End-to-end Predictor of Information Cascades. CoRR abs/1611.05373 (2016)
Coauthor Index
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