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Kaixiong Zhou
Kaixiong Zhou
MIT, NCSU
Verified email at ncsu.edu - Homepage
Title
Cited by
Cited by
Year
Towards deeper graph neural networks with differentiable group normalization
K Zhou, X Huang, Y Li, D Zha, R Chen, X Hu
Advances in neural information processing systems 33, 4917-4928, 2020
2312020
Auto-gnn: Neural architecture search of graph neural networks
K Zhou, X Huang, Q Song, R Chen, X Hu
Frontiers in big Data 5, 1029307, 2022
1932022
Gppt: Graph pre-training and prompt tuning to generalize graph neural networks
M Sun, K Zhou, X He, Y Wang, X Wang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
1472022
Experience replay optimization
D Zha, KH Lai, K Zhou, X Hu
IJCAI, 2019
1412019
Dirichlet energy constrained learning for deep graph neural networks
K Zhou, X Huang, D Zha, R Chen, L Li, SH Choi, X Hu
Advances in Neural Information Processing Systems 34, 21834-21846, 2021
1242021
Policy-gnn: Aggregation optimization for graph neural networks
KH Lai, D Zha, K Zhou, X Hu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
1092020
Bag of tricks for training deeper graph neural networks: A comprehensive benchmark study
T Chen, K Zhou, K Duan, W Zheng, P Wang, X Hu, Z Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 2769-2781, 2022
742022
A comprehensive study on large-scale graph training: Benchmarking and rethinking
K Duan, Z Liu, P Wang, W Zheng, K Zhou, T Chen, X Hu, Z Wang
Advances in Neural Information Processing Systems 35, 5376-5389, 2022
632022
Temporal augmented graph neural networks for session-based recommendations
H Zhou, Q Tan, X Huang, K Zhou, X Wang
Proceedings of the 44th International ACM SIGIR conference on research and …, 2021
612021
EXACT: Scalable graph neural networks training via extreme activation compression
Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu
International Conference on Learning Representations, 2021
612021
Multi-channel graph neural networks
K Zhou, Q Song, X Huang, D Zha, N Zou, X Hu
International Joint Conferences on Artificial Intelligence, 2020
53*2020
Orthogonal graph neural networks
K Guo, K Zhou, X Hu, Y Li, Y Chang, X Wang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3996-4004, 2022
522022
An information fusion approach to learning with instance-dependent label noise
Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu
International Conference on Learning Representations, 2021
402021
Towards similarity-aware time-series classification
D Zha, KH Lai, K Zhou, X Hu
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
382022
Distributed channel allocation and rate control for hybrid FSO/RF vehicular ad hoc networks
K Zhou, C Gong, N Wu, Z Xu
Journal of Optical Communications and Networking 9 (8), 669-681, 2017
352017
Compress, then prompt: Improving accuracy-efficiency trade-off of llm inference with transferable prompt
Z Xu, Z Liu, B Chen, Y Tang, J Wang, K Zhou, X Hu, A Shrivastava
arXiv preprint arXiv:2305.11186, 2023
302023
Autood: Neural architecture search for outlier detection
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
2021 IEEE 37th International Conference on Data Engineering (ICDE), 2117-2122, 2021
302021
Color planning and intercell interference coordination for multicolor visible light communication networks
K Zhou, C Gong, Z Xu
Journal of Lightwave Technology 35 (22), 4980-4993, 2017
292017
Automated anomaly detection via curiosity-guided search and self-imitation learning
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
IEEE Transactions on Neural Networks and Learning Systems 33 (6), 2365-2377, 2021
282021
Autood: Automated outlier detection via curiosity-guided search and self-imitation learning
Y Li, Z Chen, D Zha, K Zhou, H Jin, H Chen, X Hu
arXiv preprint arXiv:2006.11321, 2020
262020
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