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Hui Liu
Hui Liu
Verified email at msu.edu
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Cited by
Cited by
Year
Adversarial attacks and defenses in images, graphs and text: A review
H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain
International journal of automation and computing 17, 151-178, 2020
7902020
Exploring the potential of large language models (llms) in learning on graphs
Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ...
ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024
2382024
Current researches and future development trend of intelligent robot: A review
TM Wang, Y Tao, H Liu
International Journal of Automation and Computing 15 (5), 525-546, 2018
1712018
A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability
E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang
Machine Intelligence Research, 1-51, 2024
1502024
Does gender matter? towards fairness in dialogue systems
H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang
arXiv preprint arXiv:1910.10486, 2019
1272019
Optimal placement and configuration of roadside units in vehicular networks
Y Liang, H Liu, D Rajan
2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 1-6, 2012
1222012
Autoemb: Automated embedding dimensionality search in streaming recommendations
X Zhaok, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ...
2021 IEEE International Conference on Data Mining (ICDM), 896-905, 2021
1172021
Dear: Deep reinforcement learning for online advertising impression in recommender systems
X Zhao, C Gu, H Zhang, X Yang, X Liu, J Tang, H Liu
Proceedings of the AAAI conference on artificial intelligence 35 (1), 750-758, 2021
1122021
Towards robust graph neural networks for noisy graphs with sparse labels
E Dai, W Jin, H Liu, S Wang
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
972022
Whole-chain recommendations
X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang
Proceedings of the 29th ACM international conference on information …, 2020
822020
Attacking black-box recommendations via copying cross-domain user profiles
W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li
2021 IEEE 37th international conference on data engineering (ICDE), 1583-1594, 2021
772021
Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection
Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
712021
Mitigating gender bias for neural dialogue generation with adversarial learning
H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang
arXiv preprint arXiv:2009.13028, 2020
712020
Empowering molecule discovery for molecule-caption translation with large language models: A chatgpt perspective
J Li, Y Liu, W Fan, XY Wei, H Liu, J Tang, Q Li
IEEE Transactions on Knowledge and Data Engineering, 2024
672024
Generative diffusion models on graphs: Methods and applications
C Liu, W Fan, Y Liu, J Li, H Li, H Liu, J Tang, Q Li
arXiv preprint arXiv:2302.02591, 2023
652023
Autodim: Field-aware embedding dimension searchin recommender systems
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
Proceedings of the Web Conference 2021, 3015-3022, 2021
622021
Autoloss: Automated loss function search in recommendations
X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
592021
Diffusionshield: A watermark for copyright protection against generative diffusion models
Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y Xing, J Tang
arXiv preprint arXiv:2306.04642, 2023
552023
Label-free node classification on graphs with large language models (llms)
Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang
arXiv preprint arXiv:2310.04668, 2023
502023
Memory-efficient embedding for recommendations
X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long
arXiv preprint arXiv:2006.14827, 2020
352020
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