| 2026 | AAAI | Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition. | Kai Zhao, Liting Ruan, Haoran Jiang, Xiaoqiang Zhu, Xianchao Zhang, Dan Zeng |
| 2025 | AAAI | Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. | Linlin Zong, Wenmin Lin, Jiahui Zhou, Xinyue Liu, Xianchao Zhang, Bo Xu, Shimin Wu |
| 2025 | CIKM | Relational Multi-Path Enhancement for Extrapolative Relation Reasoning in Temporal Knowledge Graph. | Linlin Zong, Chi Ma, Jiahui Zhou, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu |
| 2025 | CIKM | Structuring Video Semantics with Temporal Triplets for Zero-Shot Video Question Answering. | Linlin Zong, Xinyu Zhai, Xinyue Liu, Wenxin Liang, Xianchao Zhang, Bo Xu |
| 2025 | COLING | Hawkes based Representation Learning for Reasoning over Scale-free Community-structured Temporal Knowledge Graphs. | Yuwei Du, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2025 | CSCWD | Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks. | Jie He, Lin Wang, Jiajia Wang, Ruyu Liu, Haoyu Zhang, Bo Sun, Xiufeng Liu, Chaochao Wang, Xianchao Zhang |
| 2025 | ICASSP | Online Contrastive Continual Learning with Hard Negative Samples. | Guanglu Wang, Xinyue Liu, Wentao Yang, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2025 | ICASSP | SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling. | Zhiyong Zhang, Ruyu Liu, Chaochao Wang, Xianchao Zhang, Jianhua Zhang, Xiufeng Liu |
| 2025 | IJCNN | Neural Architecture Search-Based Meta-Reinforcement Learning in Robotic Simulation Environments. | Jun Guo, Xiao Zheng, Yuanfang Chen, Xianchao Zhang |
| 2025 | IJCNN | STFNet: A Spatio-Temporal Feature Fusion Network for Human Activity Recognition Based on mmWave Radar Point Clouds. | Zishuo Wang, Yizhen Jia, Cong Yang, Xianchao Zhang |
| 2025 | KSEM | CertBA: A Decentralized Authentication Scheme via Blockchain and Dynamic Cryptographic Accumulator. | Huiying Zhang, Wenmao Liu, Wei Ren, Xianchao Zhang |
| 2025 | MMM | DistillSleep: Leverage Self-distillation to Improve Performance After Representation Learning for Sleep Staging. | Le Yu, Xianchao Zhang, Shuxia Qian, Hong Sun |
| 2025 | VTC | On Analysis of Superimposed Pilot in Multi-User Massive MIMO with Massive Connectivity. | Shuxiao Ye, Xianchao Zhang, Neng Ye |
| 2025 | UAI | Full Network Capacity Framework for Sample-Efficient Deep Reinforcement Learning. | Wentao Yang, Xinyue Liu, Yunlong Gao, Wenxin Liang, Linlin Zong, Guanglu Wang, Xianchao Zhang |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | A Goal Interaction Graph Planning Framework for Conversational Recommendation. | Xiaotong Zhang, Xuefang Jia, Han Liu, Xinyue Liu, Xianchao Zhang |
| 2024 | AAAI | Video-Context Aligned Transformer for Video Question Answering. | Linlin Zong, Jiahui Wan, Xianchao Zhang, Xinyue Liu, Wenxin Liang, Bo Xu |
| 2024 | ACL | Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. | Linlin Zong, Jiahui Zhou, Wenmin Lin, Xinyue Liu, Xianchao Zhang, Bo Xu |
| 2024 | CogSci | Random Replaying Consolidated Knowledge in the Continual Learning Model. | Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2024 | COLING | RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. | Linlin Zong, Zhenrong Xie, Chi Ma, Xinyue Liu, Xianchao Zhang, Bo Xu |
| 2024 | ICA3PP | An Encoder-Based Framework for Privacy-Preserving Machine Learning. | Jiayun Wu, Wei Ren, Xianchao Zhang, Xianghan Zheng |
| 2024 | ICASSP | Continual Learning with Class-Level Minimally Interfered Update. | Guanglu Wang, Xianchao Zhang, Han Liu, Xiaotong Zhang, Jie Mu, Wentao Yang, Linlin Zong |
| 2024 | IJCNN | BP-STFNet: A Hybrid Time-Frequency Domain Neural Network for Blood Pressure Estimation from Multi-channel BCG Signals. | Kaige Huai, Zhicheng Zhou, Hong Sun, Xianchao Zhang |
| 2024 | ICPR | Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus. | Qianli Zhao, Linlin Zong, Bo Xu, Xianchao Zhang, Xinyue Liu |
| 2024 | IJCNN | Online Class-incremental Continual Learning with Maximum Entropy Memory Update. | Guanglu Wang, Xinyue Liu, Wenxin Liang, Linlin Zong, Xianchao Zhang |
| 2024 | ISPA | A Hybrid Blockchain Scheme for Tracing Manufacturing Processes and Trading Transactions. | Ye Yuan, Mingxing Yang, Ruoting Xiong, Yani Sun, Xianchao Zhang, Wei Ren |
| 2024 | SMC | MFFDR: An Advanced Multi-branch Feature Fusion and Dynamic Reconstruction Framework for Enhancing Adversarial Robustness. | Shanwen Liu, Rongzuo Guo, Xianchao Zhang |
| 2024 | SIGIR | Label Hierarchical Structure-Aware Multi-Label Few-Shot Intent Detection via Prompt Tuning. | Xiaotong Zhang, Xinyi Li, Han Liu, Xinyue Liu, Xianchao Zhang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | 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 |
| 2023 | CIKM | 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 |
| 2023 | GLOBECOM | AcCrowd: Blockchain-based Crowdsourcing with Worker Anonymity and Payment Correctness. | Qiantong Jiang, Zhuo Xu, Xinyi Luo, Xianchao Zhang, Kaiping Xue, Ruidong Li |
| 2023 | ICASSP | 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 |
| 2023 | ICASSP | TRICL: Triplet Continual Learning. | Xianchao Zhang, Guanglu Wang, Xiaotong Zhang, Han Liu, Zhengxi Yin, Wentao Yang |
| 2023 | IJCAI | 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 |
| 2023 | IJCNN | Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance. | Le Yu, Peiwang Tang, Zhiguo Jiang, Xianchao Zhang |
| 2023 | PAKDD | Adaptive View-Aligned and Feature Augmentation Network for Partially View-Aligned Clustering. | Xianchao Zhang, Mengyan Chen, Jie Mu, Linlin Zong |
| 2023 | SMC | A Multi-Distance Feature Dissimilarity-Guided Encoder-Decoder Network for Polyp Segmentation. | Xianchao Zhang, Jinjia Guo, Nan Mu, Jingfeng Jiang |
| 2022 | GLOBECOM | An Incentive-Based Differential Privacy-Preserving Truth Discovery over Streaming Data. | Yaxuan Huang, Feng Liu, Jingcheng Zhao, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang |
| 2022 | GLOBECOM | Privacy-preserving Truth Discovery with Outlier Detection in Mobile Crowdsensing Systems. | Jingchen Zhao, Bin Zhu, Jian Li, Shaoxian Yuan, Kaiping Xue, Xianchao Zhang |
| 2022 | ICPR | Data-Efficient Deep Reinforcement Learning with Symmetric Consistency. | Xianchao Zhang, Wentao Yang, Xiaotong Zhang, Han Liu, Guanglu Wang |
| 2022 | ICTAI | MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting. | Peiwang Tang, Xianchao Zhang |
| 2022 | KDD | 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 |
| 2022 | PRICAI | Features Fusion Framework for Multimodal Irregular Time-series Events. | Peiwang Tang, Xianchao Zhang |
| 2022 | SIGIR | 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 |
| 2021 | CVPR | Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. | Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu |
| 2021 | EMNLP | 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 |
| 2021 | ICASSP | Graphnet: Graph Clustering with Deep Neural Networks. | Xianchao Zhang, Jie Mu, Han Liu, Xiaotong Zhang |
| 2021 | PAKDD | Maintaining Consistency with Constraints: A Constrained Deep Clustering Method. | Yi Cui, Xianchao Zhang, Linlin Zong, Jie Mu |
| 2021 | PAKDD | Self-supervised Graph Representation Learning with Variational Inference. | Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang |
| 2021 | SMC | Class-based Core Feature Extraction Network for Few-shot Classification. | Xianchao Zhang, Yifei Shuang, Xiaotong Zhang, Han Liu |
| 2021 | SIGIR | FedCMR: Federated Cross-Modal Retrieval. | Linlin Zong, Qiujie Xie, Jiahui Zhou, Peiran Wu, Xianchao Zhang, Bo Xu |
| 2020 | CIKM | Multimodal Clustering via Deep Commonness and Uniqueness Mining. | Linlin Zong, Faqiang Miao, Xianchao Zhang, Bo Xu |
| 2020 | PAKDD | Deep Multimodal Clustering with Cross Reconstruction. | Xianchao Zhang, Xiaorui Tang, Linlin Zong, Xinyue Liu, Jie Mu |
| 2019 | ICDCS | A Universal Method Based on Structure Subgraph Feature for Link Prediction over Dynamic Networks. | Xiao Li, Wenxin Liang, Xianchao Zhang, Xinyue Liu, Weili Wu |
| 2019 | PAKDD | Protein Complexes Detection Based on Deep Neural Network. | Xianchao Zhang, Peixu Gao, Maohua Sun, Linlin Zong, Bo Xu |
| 2019 | PAKDD | One Shot Learning with Margin. | Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang |
| 2018 | AAAI | Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. | Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu |
| 2018 | IJCAI | An Adaptive Hierarchical Compositional Model for Phrase Embedding. | Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang |
| 2018 | IJCAI | Multi-Task Clustering with Model Relation Learning. | Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo |
| 2017 | ISNN | Joining External Context Characters to Improve Chinese Word Embedding. | Xianchao Zhang, Shike Liu, Yuangang Li, Wenxin Liang |
| 2017 | PAKDD | SPGLAD: A Self-paced Learning-Based Crowdsourcing Classification Model. | Xianchao Zhang, Heng Shi, Yuangang Li, Wenxin Liang |
| 2017 | PAKDD | A Novel Extreme Learning Machine-Based Classification Algorithm for Uncertain Data. | Xianchao Zhang, Daoyuan Sun, Yuangang Li, Han Liu, Wenxin Liang |
| 2016 | ICDM | Multi-type Co-clustering of General Heterogeneous Information Networks via Nonnegative Matrix Tri-Factorization. | Xianchao Zhang, Haixin Li, Wenxin Liang, Jiebo Luo |
| 2016 | IJCAI | Self-Adapted Multi-Task Clustering. | Xianchao Zhang, Xiaotong Zhang, Han Liu |
| 2016 | PAKDD | A Social Spam Detection Framework via Semi-supervised Learning. | Xianchao Zhang, Haijun Bai, Wenxin Liang |
| 2016 | PAKDD | Constraint Based Subspace Clustering for High Dimensional Uncertain Data. | Xianchao Zhang, Lu Gao, Hong Yu |
| 2015 | AAAI | Constrained NMF-Based Multi-View Clustering on Unmapped Data. | Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu |
| 2015 | APWEB | UserGreedy: Exploiting the Activation Set to Solve Influence Maximization Problem. | Wenxin Liang, Chengguang Shen, Xianchao Zhang |
| 2015 | IJCAI | Multi-Task Multi-View Clustering for Non-Negative Data. | Xianchao Zhang, Xiaotong Zhang, Han Liu |
| 2015 | PAKDD | Manifold Regularized Symmetric Joint Link Model for Overlapping Community Detection. | Hao Chen, Xianchao Zhang, Wenxin Liang, Feng Ding |
| 2015 | PAKDD | A Semi-Supervised Framework for Social Spammer Detection. | Zhaoxing Li, Xianchao Zhang, Hua Shen, Wenxin Liang, Zengyou He |
| 2015 | PAKDD | High Dimensional Explicit Feature Biased Matrix Factorization Recommendation. | Weibin Sun, Xianchao Zhang, Wenxin Liang, Zengyou He |
| 2014 | AAAI | Novel Density-Based Clustering Algorithms for Uncertain Data. | Xianchao Zhang, Han Liu, Xiaotong Zhang, Xinyue Liu |
| 2014 | ADC | XEdge: An Efficient Method for Returning Meaningful Clustered Results for XML Keyword Search. | Wenxin Liang, Yuanyuan Gan, Xianchao Zhang |
| 2014 | ICDM | Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. | Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu |
| 2013 | AAAI | Smart Multi-Task Bregman Clustering and Multi-Task Kernel Clustering. | Xianchao Zhang, Xiaotong Zhang |
| 2012 | ICDM | Detecting Spam and Promoting Campaigns in the Twitter Social Network. | Xianchao Zhang, Shaoping Zhu, Wenxin Liang |
| 2011 | AAAI | Propagating Both Trust and Distrust with Target Differentiation for Combating Web Spam. | Xianchao Zhang, You Wang, Nan Mou, Wenxin Liang |
| 2011 | DASFAA | Extracting Local Community Structure from Local Cores. | Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang |
| 2011 | ICDM | Clusterability Analysis and Incremental Sampling for Nystrm Extension Based Spectral Clustering. | Xianchao Zhang, Quanzeng You |
| 2010 | DASFAA | C&C: An Effective Algorithm for Extracting Web Community Cores. | Xianchao Zhang, Yueting Li, Wenxin Liang |
| 2010 | DASFAA | Extracting Local Web Communities Using Lexical Similarity. | Xianchao Zhang, Wen Xu, Wenxin Liang |
| 2010 | ICDM | Graph-Based Semi-supervised Learning with Adaptive Similarity Estimation. | Xianchao Zhang, Yansheng Jiang, Wenxin Liang, Xin Han |
| 2010 | ICDM | Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data. | Xianchao Zhang, Yao Wu, Yang Qiu |
| 2010 | WISE | Detection of Web Communities from Community Cores. | Xianchao Zhang, Liang Wang, Yueting Li, Wenxin Liang |
| 2009 | ICA3PP | Dynamically Maintaining Duplicate-Insensitive and Time-Decayed Sum Using Time-Decaying Bloom Filter. | Yu Zhang, Hong Shen, Hui Tian, Xianchao Zhang |
| 2008 | CEC | An approximate muscle guided global optimization algorithm for the Three-Index Assignment Problem. | He Jiang, Jifeng Xuan, Xianchao Zhang |
| 2008 | COCOON | Computing Maximum Flows in Undirected Planar Networks with Both Edge and Vertex Capacities. | Xianchao Zhang, Weifa Liang, Guoliang Chen |
| 2008 | PAKDD | A Creditable Subspace Labeling Method Based on D-S Evidence Theory. | Yu Zong, Xianchao Zhang, He Jiang, Mingchu Li |
| 2007 | ICCS | Using Gavish-Grave LP to Formulate the Directed Black and White Traveling Salesman Problem. | He Jiang, Xianchao Zhang, Mingchu Li, Haoyang Che |
| 2007 | ICCS | Data Set Homeomorphism Transformation Based Meta-clustering. | Xianchao Zhang, Yu Zong, He Jiang, Xinyue Liu |
| 2007 | ICNC | A Hybrid Approach to License Plate Segmentation under Complex Conditions. | Xianchao Zhang, Xinyue Liu, He Jiang |
| 2007 | PAKDD | A Clustering Algorithm Based on Mechanics. | Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu |