Xiaojun Chen

117 papers A* 30A 4B 2C 1Misc 1Journal 64Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Chestxgen: Dynamic Memory-Augmented Vision-Language Transformer with Context-Aware Gating for Radiology Report Generation.
J. Artif. Intell. Soft Comput. Res.
Sharofiddin Allaberdiev, Asif Khan, Sardor Mamarasulov, Xiaojun Chen
2025 J jnl
A Structured Bipartite Graph Learning method for ensemble clustering.
Pattern Recognit.
Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie
2025 — conf
Hard400: A Bilingual Code Generation Evaluation Benchmark for Large Language Models.
ICIC (18)
Qin Zhang, Song Zhang, Junjie Li, Hong Zhou, Xiaojun Chen, Han Liu
2025 A conf
INNOVATORS: Ten Defining Trends of SaaS in the Era of the Internet of Intelligent Services.
ICWS
Jiawei Dang, Huan Chen, Sheng He, Changhu Li, Xiaojun Chen, Liang-Jie Zhang
2025 A* conf
MRBench: A Multi-Image Reasoning Benchmark with Adaptive Knowledge Retrieval.
ACM Multimedia
Wenxi Huang, Xiaojun Chen, Qin Zhang, Ting Wan, Ziqi Liu, Liangjie Zhang
2025 J jnl
Structured multi-view k-means clustering.
Pattern Recognit.
Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie
2025 A* conf
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs.
AAAI
Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan
2024 A conf
A Payment Transaction Pre-training Model for Fraud Transaction Detection.
CIKM
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu
2024 J jnl
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models.
Knowl. Based Syst.
Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang
2024 A* conf
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns.
NeurIPS
Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen
2024 — conf
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.
ACL (1)
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
2024 J jnl
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.
CoRR
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
2024 A* conf
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
NeurIPS
Ziqiang Liu, Feiteng Fang, Xi Feng, Xeron Du, Chenhao Zhang, Noah Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni
2024 J jnl
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
CoRR
Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni
2024 — conf
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.
LREC/COLING
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu
2024 J jnl
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.
CoRR
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan
2024 A* conf
Multi-Level Cross-Modal Alignment for Image Clustering.
AAAI
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
2024 J jnl
Multi-level Cross-modal Alignment for Image Clustering.
CoRR
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
2024 J jnl
Open-world structured sequence learning via dense target encoding.
Inf. Sci.
Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen
2024 J jnl
Partial order relation-based gene ontology embedding improves protein function prediction.
Briefings Bioinform.
Wenjing Li, Bin Wang, Jin Dai, Yan Kou, Xiaojun Chen, Yi Pan, Shuangwei Hu, Zhenjiang Zech Xu
2024 J jnl
ROG
CoRR
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
2024 A* conf
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.
AAAI
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
2024 A* conf
ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios.
ACM Multimedia
Xiaojun Chen, Jimeng Lou, Wenxi Huang, Ting Wan, Qin Zhang, Min Yang
2024 A* conf
Representation Surgery for Multi-Task Model Merging.
ICML
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 J jnl
Representation Surgery for Multi-Task Model Merging.
CoRR
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
2024 Misc conf
Unsupervised Multiple Choices Question Answering Via Universal Corpus.
ICASSP
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2024 J jnl
Unsupervised multiple choices question answering via universal corpus.
CoRR
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
2023 — conf
A Survey for Efficient Open Domain Question Answering.
ACL (1)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2023 J jnl
G
CoRR
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
2023 A* conf
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.
IJCAI
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
2023 J jnl
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.
Inf. Process. Manag.
Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen
2023 — conf
Multi-modal Chinese Fake News Detection.
ICDM (Workshops)
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
2023 A* conf
Semantic-Enhanced Image Clustering.
AAAI
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
2022 A* conf
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.
ICDM
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang
2022 J jnl
A Survey for Efficient Open Domain Question Answering.
CoRR
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
2022 A* conf
Deep Unsupervised Hashing with Latent Semantic Components.
AAAI
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
2022 J jnl
Deep Unsupervised Hashing with Latent Semantic Components.
CoRR
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
2022 J jnl
Directly solving normalized cut for multi-view data.
Pattern Recognit.
Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2022 J jnl
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis.
Knowl. Based Syst.
Hu Huang, Bowen Zhang, Liwen Jing, Xianghua Fu, Xiaojun Chen, Jianyang Shi
2022 J jnl
Semantic-enhanced Image Clustering.
CoRR
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
2022 J jnl
Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression.
IEEE Trans. Cybern.
Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang
2022 J jnl
Semisupervised Feature Selection via Structured Manifold Learning.
IEEE Trans. Cybern.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao
2021 J jnl
Adaptive discriminant analysis for semi-supervised feature selection.
Inf. Sci.
Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
2021 J jnl
An Effective Hybrid Learning Model for Real-Time Event Summarization.
IEEE Trans. Neural Networks Learn. Syst.
Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li
2021 A conf
Deep Self-Adaptive Hashing for Image Retrieval.
CIKM
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
2021 J jnl
Deep Self-Adaptive Hashing for Image Retrieval.
CoRR
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
2021 B conf
Deep Structured Clustering of Short Text.
Big Data (CCF)
Junxian Wu, Xiaojun Chen, Shaotian Cai, Yongqi Li, Huzi Wu
2021 J jnl
Fast Manifold Ranking With Local Bipartite Graph.
IEEE Trans. Image Process.
Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie
2021 J jnl
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.
IEEE Trans. Neural Networks Learn. Syst.
Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen
2021 J jnl
Learning unsupervised node representation from multi-view network.
Inf. Sci.
Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming
2021 J jnl
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.
IEEE Trans. Affect. Comput.
Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen
2021 J jnl
Selection of diverse features with a diverse regularization.
Pattern Recognit.
Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang
2020 J jnl
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients.
CoRR
Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang
2020 — conf
A Noise Adaptive Model for Distantly Supervised Relation Extraction.
NLPCC (1)
Xu Huang, Bowen Zhang, Yunming Ye, Xiaojun Chen, Xutao Li
2020 J jnl
A memory network based end-to-end personalized task-oriented dialogue generation.
Knowl. Based Syst.
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Zhongjie Wang
2020 J jnl
An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.
IEEE Trans. Cybern.
Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen
2020 J jnl
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.
IEEE Trans. Image Process.
Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li
2020 J jnl
Discriminative Streaming Network Embedding.
Knowl. Based Syst.
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang
2020 J jnl
Enhanced Balanced Min Cut.
Int. J. Comput. Vis.
Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
2020 J jnl
LABIN: Balanced Min Cut for Large-Scale Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
2020 J jnl
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.
IEEE Trans. Cybern.
Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen
2020 A* conf
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference.
SIGIR
Min Yang, Ying Shen, Xiaojun Chen, Chengming Li
2020 J jnl
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming
2020 — conf
Unsupervised Deep Hashing with Structured Similarity Learning.
APWeb/WAIM (2)
Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie
2019 J jnl
An Asymptotic Ensemble Learning Framework for Big Data Analysis.
IEEE Access
Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen
2019 J jnl
Demonstration of Compact In situ Mueller-Matrix Polarimetry Based on Binary Polarization Rotators.
IEEE Access
Zhenyang Ding, Yangyang Yao, X. Steve Yao, Xiaojun Chen, Chenhuan Wang, Shuang Wang, Tiegen Liu
2019 J jnl
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.
Inf. Sci.
Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu
2019 A* conf
Exploring Communities in Large Profiled Graphs (Extended Abstract).
ICDE
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019 J jnl
Exploring Communities in Large Profiled Graphs.
CoRR
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019 J jnl
Exploring Communities in Large Profiled Graphs.
IEEE Trans. Knowl. Data Eng.
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
2019 A* conf
Exploring Human-Like Reading Strategy for Abstractive Text Summarization.
AAAI
Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen
2019 A* conf
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.
IJCAI
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen
2019 — conf
Learning Personalized End-to-End Task-Oriented Dialogue Generation.
NLPCC (1)
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Lianjie Sun
2019 J jnl
MARES: multitask learning algorithm for Web-scale real-time event summarization.
World Wide Web
Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen
2019 J jnl
Multitask Learning for Cross-Domain Image Captioning.
IEEE Trans. Multim.
Min Yang, Wei Zhao, Wei Xu, Yabing Feng, Zhou Zhao, Xiaojun Chen, Kai Lei
2019 J jnl
On Spatial-Aware Community Search.
IEEE Trans. Knowl. Data Eng.
Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen
2019 A* conf
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis.
AAAI
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie
2019 J jnl
Sentiment analysis through critic learning for optimizing convolutional neural networks with rules.
Neurocomputing
Bowen Zhang, Xiaofei Xu, Xutao Li, Xiaojun Chen, Yunming Ye, Zhongjie Wang
2019 J jnl
Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method.
IEEE Trans. Cybern.
Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye
2019 — conf
Structured Spectral Clustering of PurTree Data.
DASFAA (2)
Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao
2019 J jnl
Subspace Weighting Co-Clustering of Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang
2018 A* conf
A Semi-Supervised Network Embedding Model for Protein Complexes Detection.
AAAI
Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen
2018 A* conf
A Stratified Feature Ranking Method for Supervised Feature Selection.
AAAI
Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu
2018 J jnl
A Topic Drift Model for authorship attribution.
Neurocomputing
Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu
2018 J jnl
Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules.
IEEE Access
Bowen Zhang, Xiaofei Xu, Min Yang, Xiaojun Chen, Yunming Ye
2018 A* conf
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.
AAAI
Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing
2018 J jnl
E-Embed: A time series visualization framework based on earth mover's distance.
J. Vis. Lang. Comput.
Bingkun Chen, Hong Zhou, Xiaojun Chen
2018 J jnl
Feature-enhanced attention network for target-dependent sentiment classification.
Neurocomputing
Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei
2018 A conf
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation.
SDM
Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang
2018 J jnl
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang
2018 A* conf
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training.
IJCAI
Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen
2018 J jnl
Personalized response generation by Dual-learning based domain adaptation.
Neural Networks
Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu
2018 J jnl
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang
2018 A* conf
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.
KDD
Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang
2018 J jnl
Supervised Feature Selection With a Stratified Feature Weighting Method.
IEEE Access
Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu
2018 J jnl
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering.
Pattern Recognit.
Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming
2017 A* conf
A Self-Balanced Min-Cut Algorithm for Image Clustering.
ICCV
Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu
2017 A* conf
Attention Based LSTM for Target Dependent Sentiment Classification.
AAAI
Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen
2017 A* conf
Detecting Review Spammer Groups.
AAAI
Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu
2017 A* conf
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters.
EMNLP
Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen
2017 J jnl
Leveraging Long and Short-term Information in Content-aware Movie Recommendation.
CoRR
Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Zhou Zhao, Xiaojun Chen
2017 J jnl
Local PurTree Spectral Clustering for Massive Customer Transaction Data.
IEEE Intell. Syst.
Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming
2017 A* conf
Personalized Response Generation via Domain adaptation.
SIGIR
Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, Zigang Cao
2017 A* conf
Scalable Normalized Cut with Improved Spectral Rotation.
IJCAI
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang
2017 A* conf
Semi-supervised Feature Selection via Rescaled Linear Regression.
IJCAI
Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang
2016 J jnl
Big data analytics on Apache Spark.
Int. J. Data Sci. Anal.
Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
2016 — conf
Online Multi-Instance Multi-Label learning for protein function prediction.
BIBM
Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu
2016 A* conf
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data.
ICDE
Xiaojun Chen, Joshua Zhexue Huang, Jun Luo
2016 — conf
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.
PAISI
He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen
2014 — conf
A LDA Feature Grouping Method for Subspace Clustering of Text Data.
PAISI
Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
2013 J jnl
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data.
IEEE Trans. Knowl. Data Eng.
Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye
2012 J jnl
A feature group weighting method for subspace clustering of high-dimensional data.
Pattern Recognit.
Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang
2012 — conf
Random forest using tree selection method to classify unbalanced data.
ICDIP
Baoxun Xu, Yunming Ye, Qiang Wang, Junjie Li, Xiaojun Chen
2012 — conf
Scalable Random Forests for Massive Data.
PAKDD (1)
Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng
2012 C conf
Scalable Subspace Logistic Regression Models for High Dimensional Data.
APWeb
Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng
2007 — conf
A Survey of Open Source Data Mining Systems.
PAKDD Workshops
Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu
2006 B conf
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.
PAKDD
Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu