| 2026 | AAAI | Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss. | Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu |
| 2026 | ACL | L2Dir: Integrating L_2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval. | Tianyu Zong, Rui Dai, Hongzhu Yi, Yuanxiang Wang, Zhenghao Zhang, Zhenyu Guan, Yujia Yang, Bingkang Shi, Yueyang Ding, Xiangxiang Chu, Kaikui Liu, Jungang Xu |
| 2025 | AAAI | TNCSE: Tensor Norm Constraints for Unsupervised Contrastive Learning of Sentence Embeddings. | Tianyu Zong, Bingkang Shi, Hongzhu Yi, Jungang Xu |
| 2025 | ICASSP | An Efficient Hybrid Quantum Variational Classifier With Matrix Product State. | Wanqi Sun, Jungang Xu, Chenghua Duan |
| 2025 | ICASSP | Noise-Mitigated Variational Quantum Eigensolver with Pre-training and Zero-Noise Extrapolation. | Wanqi Sun, Jungang Xu, Chenghua Duan |
| 2025 | IJCNN | LOVD: Open-Vocabulary Object Detection Based on LLM-Enhanced Agents. | Xinhao Li, Jungang Xu |
| 2025 | ICTAI | DPD: A Dual Prompt Distillation Method for Vision-Language Model. | Di Wang, Yiyu Wang, Jungang Xu |
| 2024 | AISTATS | A Neural Architecture Predictor based on GNN-Enhanced Transformer. | Xunzhi Xiang, Kun Jing, Jungang Xu |
| 2024 | ICANN | NAS-Bench-Compre: A Comprehensive Neural Architecture Search Benchmark with Customizable Components. | Di Wang, Kun Jing, Jungang Xu |
| 2024 | ICANN | Feature Activation-Driven Zero-Shot NAS: A Contrastive Learning Framework. | Di Wang, Xunzhi Xiang, Kun Jing, Jungang Xu |
| 2024 | IJCNN | CLIP-Driven Low-Cost Image Captioning. | Yiyu Wang, Jungang Xu, Yingfei Sun |
| 2024 | KSEM | Improving Image Captioning with Image Concepts of Words. | Yiyu Wang, Xunzhi Xiang, Kun Jing, Jungang Xu, Yingfei Sun |
| 2023 | IJCNN | A Novel Clinical Trial Prediction-Based Factual Inconsistency Detection Approach for Medical Text Summarization. | Shuaimin Li, Jungang Xu |
| 2022 | AAAI | End-to-End Transformer Based Model for Image Captioning. | Yiyu Wang, Jungang Xu, Yingfei Sun |
| 2022 | DASFAA | KAAS: A Keyword-Aware Attention Abstractive Summarization Model for Scientific Articles. | Shuaimin Li, Jungang Xu |
| 2022 | DSAA | Few-shot Edge Classification in Graph Meta-learning. | Xiaoxiao Yang, Jungang Xu |
| 2022 | IJCAI | Graph Masked Autoencoder Enhanced Predictor for Neural Architecture Search. | Kun Jing, Jungang Xu, Pengfei Li |
| 2022 | IJCNN | A Graph Architecture Search Method Based On Grouped Operations. | Luoyu Chen, Jungang Xu, Kun Jing, Yingfei Sun |
| 2021 | IJCNN | An Answer Driven Model For Paragraph-level Question Generation. | Xu Chen, Jungang Xu |
| 2021 | IJCNN | A Light Ranker for Open-Domain Question Answering. | Boyu Qiu, Jungang Xu, Xu Chen, Yingfei Sun |
| 2021 | IJCNN | Hierarchical Dialogue State Tracking with Machine Reading Comprehension. | Boyu Qiu, Jungang Xu, Yingfei Sun |
| 2020 | APWEB | LBNet: A Model for Judicial Reading Comprehension. | Hao Liu, Jungang Xu |
| 2020 | IJCNN | NASABN: A Neural Architecture Search Framework for Attention-Based Networks. | Kun Jing, Jungang Xu, Hui Xu |
| 2019 | ICANN | A Novel Image Captioning Method Based on Generative Adversarial Networks. | Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang |
| 2018 | APWEB | A Recurrent Neural Network Language Model Based on Word Embedding. | Shuaimin Li, Jungang Xu |
| 2018 | CCGRID | A Hard Real-time Scheduler for Spark on YARN. | Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang |
| 2018 | EMNLP | NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. | Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu |
| 2018 | ICTAI | Long-Term Recurrent Merge Network Model for Image Captioning. | Yang Fan, Jungang Xu, Yingfei Sun, Ben He |
| 2018 | KSEM | A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. | Yanhua Ran, Ben He, Jungang Xu |
| 2017 | APWEB | Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. | Chenhao Yang, Ben He, Jungang Xu |
| 2017 | ICANN | An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. | Qi Wang, Jungang Xu, Ben He, Zhengcai Qin |
| 2017 | IJCNN | Two improved continuous bag-of-word models. | Qi Wang, Jungang Xu, Hong Chen, Ben He |
| 2017 | KSEM | A Study of Distributed Semantic Representations for Automated Essay Scoring. | Cancan Jin, Ben He, Jungang Xu |
| 2016 | HPCC | A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. | Guolu Wang, Jungang Xu, Ben He |
| 2016 | ISPDC | A Novel Performance Evaluation and Optimization Model for Big Data System. | Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu |
| 2016 | KSEM | A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. | Hong Chen, Jungang Xu, Qi Wang, Ben He |
| 2016 | SAC | Direct measurement of training query quality for learning to rank. | Qingli Ma, Ben He, Jungang Xu |
| 2015 | IJCNN | A sample partition method for learning to rank based on query-level vector extraction. | Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li |
| 2014 | KSEM | A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. | Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li |
| 2013 | CIKM | Clustering-based transduction for learning a ranking model with limited human labels. | Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu |
| 2013 | HPCC | Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. | Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han |
| 2013 | ICTAI | A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. | Yue Zhao, Jungang Xu, Yunjun Gao |
| 2013 | KSEM | The Failure Prediction of Cluster Systems Based on System Logs. | Jungang Xu, Hui Li |