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ORCIDXiaotong Zhang 0003
Person information
- unicode name: 张晓彤
- affiliation: Dalian University of Technology, School of Software, China
- affiliation (PhD 2018): Dalian University of Technology, School of Computer Science and Technology, China
Other persons with the same name
- Xiaotong Zhang — disambiguation page
- Xiaotong Zhang 0001
![[0000-0002-8397-2096]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8397-2096")
— Beijing Normal University, Faculty of Geographical Science, China (and 1 more) - Xiaotong Zhang 0002 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Xiaotong Zhang 0004 — University of Minnesota, Department of Biomedical Engineering, USA
- Xiaotong Zhang 0005 — Zhejiang University, Qiushi Academy for Advanced Studies, Interdisciplinary Institute of Neuroscience and Technology, Hangzhou, China
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2020 – today
- 2024
[c32]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: 18644-18652- [c31]Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang:
A Goal Interaction Graph Planning Framework for Conversational Recommendation. AAAI 2024: 19578-19587 - [c30]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: 22231-22239 - [c29]Han Liu, Siyang Zhao, Xiaotong Zhang:
Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks. ACM TUR-C 2024 - [c28]Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong:
Continual Learning with Class-Level Minimally Interfered Update. ICASSP 2024: 7460-7464 - [c27]Han Liu, Junjie Sun, Xiaotong Zhang, Hongyang Chen:
New Intent Discovery with Multi-View Clustering. ICASSP 2024: 12381-12385 - [c26]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: 2482-2486 - [i11]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. CoRR abs/2402.01806 (2024) - [i10]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 abs/2405.03565 (2024) - 2023
- [j16]Xinyue Liu, Ligang Liu, Han Liu, Xiaotong Zhang:
Capturing the few-shot class distribution: Transductive distribution optimization. Pattern Recognit. 138: 109371 (2023) - [j15]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): 12384-12399 (2023) - [c25]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: 13219-13227 - [c24]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: 13228-13235 - [c23]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: 4105-4109 - [c22]Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang:
Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations. ICASSP 2023: 1-5 - [c21]Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang:
TRICL: Triplet Continual Learning. ICASSP 2023: 1-5 - [c20]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: 1195-1203 - [c19]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 - [i9]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. CoRR abs/2303.16764 (2023) - [i8]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 abs/2310.19038 (2023) - 2022
- [j14]Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang:
Graph Clustering With Graph Capsule Network. Neural Comput. 34(5): 1256-1287 (2022) - [j13]Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu:
Attributed graph clustering with multi-task embedding learning. Neural Networks 152: 224-233 (2022) - [j12]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: 108234 (2022) - [j11]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: 108628 (2022) - [c18]Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang:
Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. ICPR 2022: 2430-2436 - [c17]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: 1079-1087 - [c16]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: 2047-2052 - [c15]Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW 2022: 203-212 - [i7]Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang:
Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR abs/2202.06081 (2022) - [i6]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 abs/2206.02179 (2022) - [i5]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 abs/2206.13980 (2022) - 2021
- [j10]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: 128-137 (2021) - [j9]Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu:
Spectral embedding network for attributed graph clustering. Neural Networks 142: 388-396 (2021) - [c14]Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu:
Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. CVPR 2021: 6519-6528 - [c13]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: 1945-1955 - [c12]Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang:
Graphnet: Graph Clustering with Deep Neural Networks. ICASSP 2021: 3800-3804 - [c11]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: 953-963 - [c10]Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu:
Class-based Core Feature Extraction Network for Few-shot Classification. SMC 2021: 2102-2108 - [i4]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 abs/2110.13691 (2021) - 2020
- [c9]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: 1050-1060
2010 – 2019
- 2019
- [j8]Han Liu, Xianchao Zhang, Xiaotong Zhang:
PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. Knowl. Based Syst. 186 (2019) - [c8]Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan:
Label Efficient Semi-Supervised Learning via Graph Filtering. CVPR 2019: 9582-9591 - [c7]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: 4798-4808 - [c6]Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. IJCAI 2019: 4327-4333 - [i3]Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu:
Attributed Graph Clustering via Adaptive Graph Convolution. CoRR abs/1906.01210 (2019) - [i2]Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu:
Attributed Graph Learning with 2-D Graph Convolution. CoRR abs/1909.12038 (2019) - [i1]Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu:
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR abs/1909.12514 (2019) - 2018
- [j7]Han Liu, Xianchao Zhang, Xiaotong Zhang:
Possible world based consistency learning model for clustering and classifying uncertain data. Neural Networks 102: 48-66 (2018) - [j6]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Partially Related Multi-Task Clustering. IEEE Trans. Knowl. Data Eng. 30(12): 2367-2380 (2018) - [c5]Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo:
Multi-Task Clustering with Model Relation Learning. IJCAI 2018: 3132-3140 - 2017
- [j5]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Multi-task clustering through instances transfer. Neurocomputing 251: 145-155 (2017) - [j4]Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui:
Self-adapted mixture distance measure for clustering uncertain data. Knowl. Based Syst. 126: 33-47 (2017) - [j3]Xianchao Zhang, Han Liu, Xiaotong Zhang:
Novel density-based and hierarchical density-based clustering algorithms for uncertain data. Neural Networks 93: 240-255 (2017) - 2016
- [j2]Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu:
Multi-Task Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 28(12): 3324-3338 (2016) - [c4]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Self-Adapted Multi-Task Clustering. IJCAI 2016: 2357-2363 - 2015
- [j1]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Smart Multitask Bregman Clustering and Multitask Kernel Clustering. ACM Trans. Knowl. Discov. Data 10(1): 8:1-8:29 (2015) - [c3]Xianchao Zhang, Xiaotong Zhang, Han Liu:
Multi-Task Multi-View Clustering for Non-Negative Data. IJCAI 2015: 4055-4061 - 2014
- [c2]Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu:
Novel Density-Based Clustering Algorithms for Uncertain Data. AAAI 2014: 2191-2197 - 2013
- [c1]Xianchao Zhang, Xiaotong Zhang:
Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. AAAI 2013: 1034-1040
Coauthor Index
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