Ninghao Liu

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Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityPreverjeni e-poštni naslov na rice.edu
Mengnan DuAssistant Professor, New Jersey Institute of TechnologyPreverjeni e-poštni naslov na njit.edu
Fan YangAssistant Professor of Computer Science, Wake Forest UniversityPreverjeni e-poštni naslov na wfu.edu
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaPreverjeni e-poštni naslov na cs.uga.edu
Qiaoyu (Smach) TanAssistant Professor of Computer Science, New York University (Shanghai)Preverjeni e-poštni naslov na nyu.edu
Xuansheng WuUniversity of GeorgiaPreverjeni e-poštni naslov na uga.edu
Yucheng ShiUniversity of GeorgiaPreverjeni e-poštni naslov na uga.edu
Xiang LiAssistant Professor, Massachusetts General Hospital and Harvard Medical SchoolPreverjeni e-poštni naslov na mgh.harvard.edu
Xiao HuangAssistant Professor at The Hong Kong Polytechnic UniversityPreverjeni e-poštni naslov na comp.polyu.edu.hk
Jundong LiAssistant Professor, University of VirginiaPreverjeni e-poštni naslov na virginia.edu
Rui ChenChief Scientist, Samsung Ads / Senior Director of Engineering (AI), Samsung Research AmericaPreverjeni e-poštni naslov na samsung.com
Hongxia YangProfessor, HK Polytechnic UniversityPreverjeni e-poštni naslov na polyu.edu.hk
Xiaoming ZhaiAssociate Professor, University of GeorgiaPreverjeni e-poštni naslov na uga.edu
Xiaotian (Max) HanCase Western Reserve UniversityPreverjeni e-poštni naslov na case.edu
Qingquan SongLinkedInPreverjeni e-poštni naslov na linkedin.com
James CaverleeProfessor, Computer Science and Engineering, Texas A&M UniversityPreverjeni e-poštni naslov na cse.tamu.edu

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Ninghao Liu

Assistant Professor, University of Georgia

Preverjeni e-poštni naslov na uga.edu - Domača stran

Explainable AI Fairness in Machine Learning Graph Mining Anomaly Detection


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Techniques for interpretable machine learning M Du, N Liu, X Hu Communications of the ACM 63 (1), 68-77, 2019	1541	2019
Explainability for large language models: A survey H Zhao, H Chen, F Yang, N Liu, H Deng, H Cai, S Wang, D Yin, M Du ACM Transactions on Intelligent Systems and Technology 15 (2), 1-38, 2024	474	2024
Auggpt: Leveraging chatgpt for text data augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, F Zeng, W Liu, ... IEEE Transactions on Big Data, 2023	375*	2023
G-mixup: Graph data augmentation for graph classification X Han, Z Jiang, N Liu, X Hu International Conference on Machine Learning, 8230-8248, 2022	237	2022
An embarrassingly simple approach for trojan attack in deep neural networks R Tang, M Du, N Liu, F Yang, X Hu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	219	2020
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) G Mai, W Huang, J Sun, S Song, D Mishra, N Liu, S Gao, T Liu, G Cong, ... ACM Transactions on Spatial Algorithms and Systems, 2024	187*	2024
Towards explanation of dnn-based prediction with guided feature inversion M Du, N Liu, Q Song, X Hu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	164	2018
Sparse-interest network for sequential recommendation Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu Proceedings of the 14th ACM international conference on web search and data …, 2021	158	2021
S2GAE: self-supervised graph autoencoders are generalizable learners with graph masking Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu Proceedings of the sixteenth ACM international conference on web search and …, 2023	148*	2023
Edits: Modeling and mitigating data bias for graph neural networks Y Dong, N Liu, B Jalaian, J Li Proceedings of the ACM web conference 2022, 1259-1269, 2022	145	2022
Deep representation learning for social network analysis Q Tan, N Liu, X Hu Frontiers in big Data 2, 2, 2019	143	2019
In-processing modeling techniques for machine learning fairness: A survey M Wan, D Zha, N Liu, N Zou ACM Transactions on Knowledge Discovery from Data 17 (3), 1-27, 2023	140	2023
Artificial general intelligence (AGI) for education E Latif, G Mai, M Nyaaba, X Wu, N Liu, G Lu, S Li, T Liu, X Zhai arXiv preprint arXiv:2304.12479, 2023	111	2023
Learning to hash with graph neural networks for recommender systems Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu Proceedings of The Web Conference 2020, 1988-1998, 2020	110	2020
Contextual outlier interpretation N Liu, D Shin, X Hu Proceedings of the 27th International Joint Conference on Artificial …, 2018	104	2018
Is a single vector enough? exploring node polysemy for network embedding N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	102	2019
Applying large language models and chain-of-thought for automatic scoring GG Lee, E Latif, X Wu, N Liu, X Zhai Computers and Education: Artificial Intelligence 6, 100213, 2024	88	2024
Adversarial detection with model interpretation N Liu, H Yang, X Hu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	82	2018
Dynamic memory based attention network for sequential recommendation Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu Proceedings of the AAAI conference on artificial intelligence 35 (5), 4384-4392, 2021	76	2021
Accelerated Local Anomaly Detection via Resolving Attributed Networks. N Liu, X Huang, X Hu IJCAI, 2337-2343, 2017	74	2017

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