Seuraa
Jiaqi W. Ma
Jiaqi W. Ma
Muut nimetJiaqi Ma
Assistant Professor, University of Illinois Urbana-Champaign
Vahvistettu sähköpostiosoite verkkotunnuksessa illinois.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Modeling task relationships in multi-task learning with multi-gate mixture-of-experts
J Ma, Z Zhao, X Yi, J Chen, L Hong, EH Chi
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
12242018
Deepcas: An end-to-end predictor of information cascades
C Li, J Ma, X Guo, Q Mei
Proceedings of the 26th international conference on World Wide Web, 577-586, 2017
3832017
Towards more practical adversarial attacks on graph neural networks
J Ma, S Ding, Q Mei
Advances in neural information processing systems 33, 4756-4766, 2020
1492020
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-task Learning
J Ma, Z Zhao, J Chen, A Li, L Hong, EH Chi
1252019
Off-policy learning in two-stage recommender systems
J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi
Proceedings of The Web Conference 2020, 463-473, 2020
1142020
Subgroup generalization and fairness of graph neural networks
J Ma, J Deng, Q Mei
Advances in Neural Information Processing Systems 34, 1048-1061, 2021
952021
Joint community and structural hole spanner detection via harmonic modularity
L He, CT Lu, J Ma, J Cao, L Shen, PS Yu
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
912016
A flexible generative framework for graph-based semi-supervised learning
J Ma, W Tang, J Zhu, Q Mei
Advances in Neural Information Processing Systems 32, 2019
852019
Post Hoc Explanations of Language Models Can Improve Language Models
S Krishna, J Ma, D Slack, A Ghandeharioun, S Singh, H Lakkaraju
arXiv preprint arXiv:2305.11426, 2023
642023
Can llms effectively leverage graph structural information: when and why
J Huang, X Zhang, Q Mei, J Ma
54*2023
Adversarial attack on graph neural networks as an influence maximization problem
J Ma, J Deng, Q Mei
Proceedings of the fifteenth ACM international conference on web search and …, 2022
402022
Soden: A scalable continuous-time survival model through ordinary differential equation networks
W Tang, J Ma, Q Mei, J Zhu
Journal of Machine Learning Research 23 (34), 1-29, 2022
392022
Copulagnn: Towards integrating representational and correlational roles of graphs in graph neural networks
J Ma, B Chang, X Zhang, Q Mei
arXiv preprint arXiv:2010.02089, 2020
242020
Analyzing chain-of-thought prompting in large language models via gradient-based feature attributions
S Wu, EM Shen, C Badrinath, J Ma, H Lakkaraju
arXiv preprint arXiv:2307.13339, 2023
222023
Partition-based active learning for graph neural networks
J Ma, Z Ma, J Chai, Q Mei
arXiv preprint arXiv:2201.09391, 2022
222022
How much space has been explored? measuring the chemical space covered by databases and machine-generated molecules
Y Xie, Z Xu, J Ma, Q Mei
arXiv preprint arXiv:2112.12542, 2021
22*2021
Graph representation learning via multi-task knowledge distillation
J Ma, Q Mei
arXiv preprint arXiv:1911.05700, 2019
192019
Confronting LLMs with traditional ML: Rethinking the fairness of large language models in tabular classifications
Y Liu, S Gautam, J Ma, H Lakkaraju
arXiv preprint arXiv:2310.14607, 2023
17*2023
Ai risk management should incorporate both safety and security
X Qi, Y Huang, Y Zeng, E Debenedetti, J Geiping, L He, K Huang, ...
arXiv preprint arXiv:2405.19524, 2024
152024
Fair machine unlearning: Data removal while mitigating disparities
A Oesterling, J Ma, F Calmon, H Lakkaraju
International Conference on Artificial Intelligence and Statistics, 3736-3744, 2024
152024
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Artikkelit 1–20