Han Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 62

Top Topics

Clustering Algorithm

Graph Clustering

Top Venues

Publications

Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI (2024)
Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM (2024)
Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong
Continual Learning with Class-Level Minimally Interfered Update. ICASSP (2024)
Han Liu, Siyang Zhao, Xiaotong Zhang
Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks. ACM TUR-C (2024)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI (2024)
Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang
A Goal Interaction Graph Planning Framework for Conversational Recommendation. AAAI (2024)
Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang
Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. SIGIR (2024)
Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Depression Detection via Capsule Networks with Contrastive Learning. AAAI (2024)
QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks. CoRR (2024)
Wenxin Liang, Zhiliang Hao, Han Liu, Hongyang Chen
Boosting Zero-Shot Node Classification via Dependency Capture and Discriminative Feature Learning. ICASSP (2024)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR (2024)
Wenxin Liang, Tingyu Zhang, Han Liu, Feng Zhang
SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification. ACL (Findings) (2024)
Han Liu, Junjie Sun, Xiaotong Zhang, Hongyang Chen
New Intent Discovery with Multi-View Clustering. ICASSP (2024)
Jie Mu, Xianchao Zhang, Yujiao Du, Yuxiang Hu, Han Liu, Jian Xu
BCRNet: Bidirectional contrastive representation network for deep multimodal learning of exercise representations in online education systems. Neurocomputing 548 (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR (2023)
Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang
TRICL: Triplet Continual Learning. ICASSP (2023)
Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI (2023)
Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM (2023)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang
Adaptive Graph Convolution Methods for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Few-Shot Text Classification via Distribution Estimation. AAAI (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI (2023)
Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR (2023)
Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD (2023)
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS (2023)
Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li
Deep anomaly detection with self-supervised learning and adversarial training. Pattern Recognit. 121 (2022)
Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang
Graph Clustering With Graph Capsule Network. Neural Comput. 34 (5) (2022)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. CoRR (2022)
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128 (2022)
Yue Li, Han Liu, Yuan Tan
POLYBRIDGE: A Crosschain Bridge For Heterogeneous Blockchains. ICBC (2022)
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. SIGIR (2022)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. KDD (2022)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. CoRR (2022)
Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu
Attributed graph clustering with multi-task embedding learning. Neural Networks 152 (2022)
Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang
Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. ICPR (2022)
Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu
Class-based Core Feature Extraction Network for Few-shot Classification. SMC (2021)
Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang
Graphnet: Graph Clustering with Deep Neural Networks. ICASSP (2021)
Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu
RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. 176 (2021)
Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. CVPR (2021)
Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu
Spectral embedding network for attributed graph clustering. Neural Networks 142 (2021)
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. KDD (2021)
Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang
Self-supervised Graph Representation Learning with Variational Inference. PAKDD (3) (2021)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. EMNLP (Findings) (2021)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. CoRR (2021)
Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL (2020)
Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR (2019)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
Attributed Graph Clustering via Adaptive Graph Convolution. IJCAI (2019)
Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan
Label Efficient Semi-Supervised Learning via Graph Filtering. CVPR (2019)
Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu
Attributed Graph Learning with 2-D Graph Convolution. CoRR (2019)
Han Liu, Xianchao Zhang, Xiaotong Zhang
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. Knowl. Based Syst. 186 (2019)
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam
Reconstructing Capsule Networks for Zero-shot Intent Classification. EMNLP/IJCNLP (1) (2019)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
Attributed Graph Clustering via Adaptive Graph Convolution. CoRR (2019)
Han Liu, Xianchao Zhang, Xiaotong Zhang
Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks 102 (2018)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Partially Related Multi-Task Clustering. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
Multi-Task Clustering with Model Relation Learning. IJCAI (2018)
Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui
Self-adapted mixture distance measure for clustering uncertain data. Knowl. Based Syst. 126 (2017)
Xianchao Zhang, Han Liu, Xiaotong Zhang
Novel density-based and hierarchical density-based clustering algorithms for uncertain data. Neural Networks 93 (2017)
Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang
A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. PAKDD (Workshops) (2017)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Multi-task clustering through instances transfer. Neurocomputing 251 (2017)
Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu
Multi-Task Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 28 (12) (2016)
Xianchao Zhang, Xiaotong Zhang, Han Liu
Self-Adapted Multi-Task Clustering. IJCAI (2016)
Xianchao Zhang, Xiaotong Zhang, Han Liu
Smart Multitask Bregman Clustering and Multitask Kernel Clustering. ACM Trans. Knowl. Discov. Data 10 (1) (2015)
Xianchao Zhang, Xiaotong Zhang, Han Liu
Multi-Task Multi-View Clustering for Non-Negative Data. IJCAI (2015)
Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu
Novel Density-Based Clustering Algorithms for Uncertain Data. AAAI (2014)