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Han Liu
Han Liu
Associate Professor, Dalian University of Technology
Verified email at dlut.edu.cn
Title
Cited by
Cited by
Year
Attributed Graph Clustering via Adaptive Graph Convolution
X Zhang, H Liu, Q Li, XM Wu
IJCAI 2019, 2019
2642019
Label Efficient Semi-Supervised Learning via Graph Filtering
Q Li, XM Wu, H Liu, X Zhang, Z Guan
CVPR 2019, 9582-9591, 2019
1832019
Multi-task multi-view clustering
X Zhang, X Zhang, H Liu, X Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE) 28 (12), 3324-3338, 2016
772016
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
G Yan, L Fan, Q Li, H Liu, X Zhang, XM Wu, AYS Lam
ACL 2020, 1050-1060, 2020
732020
Deep anomaly detection with self-supervised learning and adversarial training
X Zhang, J Mu, X Zhang, H Liu, L Zong, Y Li
Pattern Recognition (PR) 121, 108234, 2022
522022
Multi-task multi-view clustering for non-negative data
X Zhang, X Zhang, H Liu
IJCAI 2015, 2015
472015
Smart multitask Bregman clustering and multitask kernel clustering
X Zhang, X Zhang, H Liu
ACM Transactions on Knowledge Discovery from Data (TKDD) 10 (1), 8, 2015
452015
Reconstructing Capsule Networks for Zero-shot Intent Classification
H Liu, X Zhang, L Fan, X Fu, Q Li, XM Wu, AYS Lam
EMNLP 2019, 4801-4811, 2019
392019
Novel density-based and hierarchical density-based clustering algorithms for uncertain data
X Zhang, H Liu, X Zhang
Neural Networks (NN) 93, 240-255, 2017
392017
Self-Adapted Multi-Task Clustering.
X Zhang, X Zhang, H Liu
IJCAI 2016, 2357-2363, 2016
352016
Spectral embedding network for attributed graph clustering
X Zhang, H Liu, XM Wu, X Zhang, X Liu
Neural Networks (NN), 2021
332021
Multi-task clustering through instances transfer
X Zhang, X Zhang, H Liu, X Liu
Neurocomputing 251, 145-155, 2017
272017
Self-adapted mixture distance measure for clustering uncertain data
H Liu, X Zhang, X Zhang, Y Cui
Knowledge-Based Systems (KBS) 126, 33-47, 2017
252017
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks
Q Dai, XM Wu, L Fan, Q Li, H Liu, X Zhang, D Wang, G Lin, K Yang
Pattern Recognition 128, 108628, 2022
202022
Multi-Task Clustering with Model Relation Learning.
X Zhang, X Zhang, H Liu, J Luo
IJCAI 2018, 3132-3140, 2018
202018
Partially related multi-task clustering
X Zhang, X Zhang, H Liu, X Liu
IEEE Transactions on Knowledge and Data Engineering (TKDE) 30 (12), 2367-2380, 2018
202018
Novel Density-Based Clustering Algorithms for Uncertain Data
X Zhang, H Liu, X Zhang, X Liu
AAAI 2014, 2191-2197, 2014
192014
Possible world based consistency learning model for clustering and classifying uncertain data
H Liu, X Zhang, X Zhang
Neural Networks (NN) 102, 48-66, 2018
172018
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data
H Liu, X Zhang, X Zhang
Knowledge-Based Systems (KBS), 104930, 2019
152019
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
H Liu, F Zhang, X Zhang, S Zhao, X Zhang
EMNLP 2021, 1945-1955, 2021
132021
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