Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. - Xianchao Zhang 001; Xiaotong Zhang 003 (AAAI, 2013)

Novel Density-Based Clustering Algorithms for Uncertain Data. - Xianchao Zhang 001; Han Liu 008; Xiaotong Zhang 003; Xinyue Liu 002 (AAAI, 2014)

Multi-Task Multi-View Clustering for Non-Negative Data. - Xianchao Zhang 001; Xiaotong Zhang 003; Han Liu 008 (IJCAI, 2015)

Smart Multitask Bregman Clustering and Multitask Kernel Clustering. - Xianchao Zhang 001; Xiaotong Zhang 003; Han Liu 008 (ACM Trans. Knowl. Discov. Data, 2015)

Self-Adapted Multi-Task Clustering. - Xianchao Zhang 001; Xiaotong Zhang 003; Han Liu 008 (IJCAI, 2016)

Multi-Task Multi-View Clustering. - Xiaotong Zhang 003; Xianchao Zhang 001; Han Liu 008; Xinyue Liu 002 (IEEE Trans. Knowl. Data Eng., 2016)

Multi-task clustering through instances transfer. - Xiaotong Zhang 003; Xianchao Zhang 001; Han Liu 008; Xinyue Liu 002 (Neurocomputing, 2017)

Self-adapted mixture distance measure for clustering uncertain data. - Han Liu 008; Xianchao Zhang 001; Xiaotong Zhang 003; Yi Cui (Knowl. Based Syst., 2017)

Novel density-based and hierarchical density-based clustering algorithms for uncertain data. - Xianchao Zhang 001; Han Liu 008; Xiaotong Zhang 003 (Neural Networks, 2017)

Multi-Task Clustering with Model Relation Learning. - Xiaotong Zhang 003; Xianchao Zhang 001; Han Liu 008; Jiebo Luo 001 (IJCAI, 2018)

Possible world based consistency learning model for clustering and classifying uncertain data. - Han Liu 008; Xianchao Zhang 001; Xiaotong Zhang 003 (Neural Networks, 2018)

Partially Related Multi-Task Clustering. - Xiaotong Zhang 003; Xianchao Zhang 001; Han Liu 008; Xinyue Liu 002 (IEEE Trans. Knowl. Data Eng., 2018)

Label Efficient Semi-Supervised Learning via Graph Filtering. - Qimai Li; Xiao-Ming Wu 003; Han Liu 008; Xiaotong Zhang 003; Zhichao Guan (CVPR, 2019)

Reconstructing Capsule Networks for Zero-shot Intent Classification. - Han Liu 008; Xiaotong Zhang 003; Lu Fan; Xuandi Fu; Qimai Li; Xiao-Ming Wu 003; Albert Y. S. Lam (EMNLP/IJCNLP (1), 2019)

Attributed Graph Clustering via Adaptive Graph Convolution. - Xiaotong Zhang 003; Han Liu 008; Qimai Li; Xiao-Ming Wu 003 (IJCAI, 2019)

Attributed Graph Learning with 2-D Graph Convolution. - Qimai Li; Xiaotong Zhang 003; Han Liu 008; Xiao-Ming Wu 003 (CoRR, 2019)

Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. - Han Liu 008; Xianchao Zhang 001; Xiaotong Zhang 003; Qimai Li; Xiao-Ming Wu 003 (CoRR, 2019)

PwAdaBoost: Possible world based AdaBoost algorithm for classifying uncertain data. - Han Liu 008; Xianchao Zhang 001; Xiaotong Zhang 003 (Knowl. Based Syst., 2019)

Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. - Guangfeng Yan; Lu Fan; Qimai Li; Han Liu 008; Xiaotong Zhang 003; Xiao-Ming Wu 003; Albert Y. S. Lam (ACL, 2020)

Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. - Xianchao Zhang 001; Ziyang Cheng; Xiaotong Zhang 003; Han Liu 008 (CVPR, 2021)

An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Xianchao Zhang 001 (EMNLP (Findings), 2021)

Graphnet: Graph Clustering with Deep Neural Networks. - Xianchao Zhang 001; Jie Mu; Han Liu 008; Xiaotong Zhang 003 (ICASSP, 2021)

Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. - Qimai Li; Xiaotong Zhang 003; Han Liu 008; Quanyu Dai; Xiao-Ming Wu 003 (KDD, 2021)

Class-based Core Feature Extraction Network for Few-shot Classification. - Xianchao Zhang 001; Yifei Shuang; Xiaotong Zhang 003; Han Liu 008 (SMC, 2021)

RPC: Representative possible world based consistent clustering algorithm for uncertain data. - Han Liu 008; Xiaotong Zhang 003; Xianchao Zhang 001; Qimai Li; Xiao-Ming Wu 003 (Comput. Commun., 2021)

Spectral embedding network for attributed graph clustering. - Xiaotong Zhang 003; Han Liu 008; Xiao-Ming Wu 003; Xianchao Zhang 001; Xinyue Liu 002 (Neural Networks, 2021)

Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. - Xianchao Zhang 001; Wentao Yang; Xiaotong Zhang 003; Han Liu 008; Guanglu Wang (ICPR, 2022)

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Junjie Sun; Hong Yu 005; Xianchao Zhang 001 (KDD, 2022)

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003; Feng Zhang 027; Junjie Sun; Hong Yu 005; Xianchao Zhang 001 (SIGIR, 2022)

Modeling User Behavior with Graph Convolution for Personalized Product Search. - Lu Fan; Qimai Li; Bo Liu 049; Xiao-Ming Wu 003; Xiaotong Zhang 003; Fuyu Lv; Guli Lin; Sen Li 001; Taiwei Jin; Keping Yang (WWW, 2022)

Graph Clustering With Graph Capsule Network. - Xianchao Zhang 001; Jie Mu; Han Liu 008; Xiaotong Zhang 003; Linlin Zong; Guanglu Wang (Neural Comput., 2022)

Attributed graph clustering with multi-task embedding learning. - Xiaotong Zhang 003; Han Liu 008; Xianchao Zhang 001; Xinyue Liu 002 (Neural Networks, 2022)

Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. - Quanyu Dai; Xiao-Ming Wu 003; Lu Fan; Qimai Li; Han Liu 008; Xiaotong Zhang 003; Dan Wang 002; Guli Lin; Keping Yang (Pattern Recognit., 2022)

Deep anomaly detection with self-supervised learning and adversarial training. - Xianchao Zhang 001; Jie Mu; Xiaotong Zhang 003; Han Liu 008; Linlin Zong; Yuangang Li 001 (Pattern Recognit., 2022)

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Xiaoming Xu 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

Boosting Few-Shot Text Classification via Distribution Estimation. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Fenglong Ma; Xiao-Ming Wu 003; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. - Han Liu 008; Hongxiang Lin; Xiaotong Zhang 003; Fenglong Ma; Hongyang Chen; Lei Wang 005; Hong Yu 005; Xianchao Zhang 001 (CIKM, 2023)

Knowledge-Aware Graph Convolutional Network with Utterance-Specific Window Search for Emotion Recognition In Conversations. - Xiaotong Zhang 003; Peng He; Han Liu 008; Zhengxi Yin; Xinyue Liu 002; Xianchao Zhang 001 (ICASSP, 2023)

TRICL: Triplet Continual Learning. - Xianchao Zhang 001; Guanglu Wang; Xiaotong Zhang 003; Han Liu 008; Zhengxi Yin; Wentao Yang (ICASSP, 2023)

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. - Han Liu 008; Xingshuo Huang; Xiaotong Zhang 003; Qimai Li; Fenglong Ma; Wei Wang 077; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (IJCAI, 2023)

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (NeurIPS, 2023)

Capturing the few-shot class distribution: Transductive distribution optimization. - Xinyue Liu 002; Ligang Liu; Han Liu 008; Xiaotong Zhang 003 (Pattern Recognit., 2023)

Adaptive Graph Convolution Methods for Attributed Graph Clustering. - Xiaotong Zhang 003; Han Liu 008; Qimai Li; Xiao-Ming Wu 003; Xianchao Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Depression Detection via Capsule Networks with Contrastive Learning. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

A Goal Interaction Graph Planning Framework for Conversational Recommendation. - Xiaotong Zhang 003; Xuefang Jia; Han Liu 008; Xinyue Liu 002; Xianchao Zhang 001 (AAAI, 2024)

Few-Shot Intent Detection with Label-Enhanced Hierarchical Feature Learning and Graph Neural Networks. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003 (ACM TUR-C, 2024)

A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection. - Xiaotong Zhang 003; Xinyi Li; Feng Zhang 027; Zhiyi Wei; Junfeng Liu; Han Liu 008 (EMNLP (Findings), 2024)

New Intent Discovery with Multi-View Clustering. - Han Liu 008; Junjie Sun; Xiaotong Zhang 003; Hongyang Chen (ICASSP, 2024)

Continual Learning with Class-Level Minimally Interfered Update. - Guanglu Wang; Xianchao Zhang 001; Han Liu 008; Xiaotong Zhang 003; Jie Mu; Wentao Yang; Linlin Zong (ICASSP, 2024)

Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. - Xiaotong Zhang 003; Xinyi Li; Han Liu 008; Xinyue Liu 002; Xianchao Zhang 001 (SIGIR, 2024)

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. - Han Liu 008; Yuanyuan Wang; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (AAAI, 2025)

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Wei Wang 077; Hong Yu 005 (ACL (1), 2025)

Non-Autoregressive Image Captioning with Multi-Label Classification and Self-Critical Sequence Training. - Yuanqiu Liu; Hong Yu 005; Hui Li; Xiaotong Zhang 003; Xin Han; Han Liu 008 (ICASSP, 2025)

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. - Han Liu 008; Haotian Gao; Xiaotong Zhang 003; Changya Li; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (KDD (1), 2025)

SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification. - Han Liu 008; Shuqin Li; Xiaotong Zhang 003; Yuanyuan Wang; Feng Zhang 027; Hongyang Chen; Hong Yu 005 (NAACL (Findings), 2025)

Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection. - Xiaotong Zhang 003; Qianru Zhou; Han Liu 008; Hong Yu 005 (NAACL (Findings), 2025)

Transformer-Based Nonautoregressive Image Captioning via Guided Keyword Generation and Learnable Positional Encoding for IoT Devices. - Yuanqiu Liu; Hong Yu 005; Hui Li; Xin Han; Xiaotong Zhang 003; Han Liu 008 (IEEE Internet Things J., 2025)