Xiaotong Zhang

According to our database, Xiaotong Zhang authored at least 52 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning.

Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Continual Learning with Class-Level Minimally Interfered Update.

Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong

Proceedings of the IEEE International Conference on Acoustics, 2024

New Intent Discovery with Multi-View Clustering.

Han Liu, Junjie Sun, Xiaotong Zhang, Hongyang Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection.

Xiaotong Zhang, Xinyi Li, Feng Zhang, Zhiyi Wei, Junfeng Liu, Han Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks.

Han Liu, Siyang Zhao, Xiaotong Zhang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

A Goal Interaction Graph Planning Framework for Conversational Recommendation.

Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Depression Detection via Capsule Networks with Contrastive Learning.

Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Graph Convolution Methods for Attributed Graph Clustering.

Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang

IEEE Trans. Knowl. Data Eng., December, 2023

Capturing the few-shot class distribution: Transductive distribution optimization.

Xinyue Liu, Ligang Liu, Han Liu, Xiaotong Zhang

Pattern Recognit., June, 2023

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text.

Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors.

Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TRICL: Triplet Continual Learning.

Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations.

Xiaotong Zhang, Peng He, Han Liu, Zhengxi Yin, Xinyue Liu, Xianchao Zhang

Proceedings of the IEEE International Conference on Acoustics, 2023

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.

Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Boosting Few-Shot Text Classification via Distribution Estimation.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.

Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep anomaly detection with self-supervised learning and adversarial training.

Xianchao Zhang, Jie Mu, Xiaotong Zhang, Han Liu, Linlin Zong, Yuangang Li

Pattern Recognit., 2022

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks.

Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang

Pattern Recognit., 2022

Attributed graph clustering with multi-task embedding learning.

Xiaotong Zhang, Han Liu, Xianchao Zhang, Xinyue Liu

Neural Networks, 2022

Graph Clustering With Graph Capsule Network.

Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang, Linlin Zong, Guanglu Wang

Neural Comput., 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Data-Efficient Deep Reinforcement Learning with Symmetric Consistency.

Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Spectral embedding network for attributed graph clustering.

Xiaotong Zhang, Han Liu, Xiao-Ming Wu, Xianchao Zhang, Xinyue Liu

Neural Networks, 2021

RPC: Representative possible world based consistent clustering algorithm for uncertain data.

Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu

Comput. Commun., 2021

Class-based Core Feature Extraction Network for Few-shot Classification.

Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs.

Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graphnet: Graph Clustering with Deep Neural Networks.

Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang

Proceedings of the IEEE International Conference on Acoustics, 2021

An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis.

Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification.

Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang

Knowl. Based Syst., 2019

Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning.

Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu

CoRR, 2019

Attributed Graph Learning with 2-D Graph Convolution.

Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu

CoRR, 2019

Attributed Graph Clustering via Adaptive Graph Convolution.

Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reconstructing Capsule Networks for Zero-shot Intent Classification.

Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Label Efficient Semi-Supervised Learning via Graph Filtering.

Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Partially Related Multi-Task Clustering.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

IEEE Trans. Knowl. Data Eng., 2018

Possible world based consistency learning model for clustering and classifying uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang

Neural Networks, 2018

Multi-Task Clustering with Model Relation Learning.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Novel density-based and hierarchical density-based clustering algorithms for uncertain data.

Xianchao Zhang, Han Liu, Xiaotong Zhang

Neural Networks, 2017

Self-adapted mixture distance measure for clustering uncertain data.

Han Liu, Xianchao Zhang, Xiaotong Zhang, Yi Cui

Knowl. Based Syst., 2017

Multi-task clustering through instances transfer.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

Neurocomputing, 2017

2016

Multi-Task Multi-View Clustering.

Xiaotong Zhang, Xianchao Zhang, Han Liu, Xinyue Liu

IEEE Trans. Knowl. Data Eng., 2016

Self-Adapted Multi-Task Clustering.

Xianchao Zhang, Xiaotong Zhang, Han Liu

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Smart Multitask Bregman Clustering and Multitask Kernel Clustering.

Xianchao Zhang, Xiaotong Zhang, Han Liu

ACM Trans. Knowl. Discov. Data, 2015

Multi-Task Multi-View Clustering for Non-Negative Data.

Xianchao Zhang, Xiaotong Zhang, Han Liu

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Novel Density-Based Clustering Algorithms for Uncertain Data.

Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering.

Xianchao Zhang, Xiaotong Zhang

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013