Xiaojun Chen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 91

Top Venues

Publications

Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
Multi-level Cross-modal Alignment for Image Clustering. CoRR (2024)
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. AAAI (2024)
Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai
Multi-Level Cross-Modal Alignment for Image Clustering. AAAI (2024)
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. CoRR (2024)
Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property. LREC/COLING (2024)
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
: Robust Open-Set Graph Learning via Region-Based Prototype Learning. CoRR (2024)
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
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. CoRR (2024)
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. CoRR (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training. ACL (1) (2024)
Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang
Unsupervised Multiple Choices Question Answering Via Universal Corpus. ICASSP (2024)
Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang
A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models. Knowl. Based Syst. 299 (2024)
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang
A Survey for Efficient Open Domain Question Answering. ACL (1) (2023)
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
Semantic-Enhanced Image Clustering. AAAI (2023)
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR (2023)
Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger
Multi-modal Chinese Fake News Detection. ICDM (Workshops) (2023)
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. IJCAI (2023)
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
Deep Unsupervised Hashing with Latent Semantic Components. CoRR (2022)
Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao
Semisupervised Feature Selection via Structured Manifold Learning. IEEE Trans. Cybern. 52 (7) (2022)
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang
Deep Unsupervised Hashing with Latent Semantic Components. AAAI (2022)
Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen
Semantic-enhanced Image Clustering. CoRR (2022)
Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang
Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression. IEEE Trans. Cybern. 52 (8) (2022)
Hu Huang, Bowen Zhang, Liwen Jing, Xianghua Fu, Xiaojun Chen, Jianyang Shi
Logic tensor network with massive learned knowledge for aspect-based sentiment analysis. Knowl. Based Syst. 257 (2022)
Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
Directly solving normalized cut for multi-view data. Pattern Recognit. 130 (2022)
Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang
Selection of diverse features with a diverse regularization. Pattern Recognit. 120 (2021)
Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li
An Effective Hybrid Learning Model for Real-Time Event Summarization. IEEE Trans. Neural Networks Learn. Syst. 32 (10) (2021)
Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen
Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 12 (3) (2021)
Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang
Adaptive discriminant analysis for semi-supervised feature selection. Inf. Sci. 566 (2021)
Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming
Learning unsupervised node representation from multi-view network. Inf. Sci. 579 (2021)
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
Deep Self-Adaptive Hashing for Image Retrieval. CoRR (2021)
Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen
Deep Self-Adaptive Hashing for Image Retrieval. CIKM (2021)
Junxian Wu, Xiaojun Chen, Shaotian Cai, Yongqi Li, Huzi Wu
Deep Structured Clustering of Short Text. Big Data (CCF) (2021)
Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie
Fast Manifold Ranking With Local Bipartite Graph. IEEE Trans. Image Process. 30 (2021)
Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang
LABIN: Balanced Min Cut for Large-Scale Data. IEEE Trans. Neural Networks Learn. Syst. 31 (3) (2020)
Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen
Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training. IEEE Trans. Cybern. 50 (11) (2020)
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Zhongjie Wang
A memory network based end-to-end personalized task-oriented dialogue generation. Knowl. Based Syst. 207 (2020)
Min Yang, Ying Shen, Xiaojun Chen, Chengming Li
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. SIGIR (2020)
Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming
Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression. IEEE Trans. Knowl. Data Eng. 32 (1) (2020)
Xu Huang, Bowen Zhang, Yunming Ye, Xiaojun Chen, Xutao Li
A Noise Adaptive Model for Distantly Supervised Relation Extraction. NLPCC (1) (2020)
Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128 (7) (2020)
Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen
An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks. IEEE Trans. Cybern. 50 (12) (2020)
Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li
An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network. IEEE Trans. Image Process. 29 (2020)
Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients. CoRR (2020)
Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie
Unsupervised Deep Hashing with Structured Similarity Learning. APWeb/WAIM (2) (2020)
Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190 (2020)
Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. AAAI (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. CoRR (2019)
Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang
Subspace Weighting Co-Clustering of Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE (2019)
Bowen Zhang, Xiaofei Xu, Xutao Li, Xiaojun Chen, Yunming Ye, Zhongjie Wang
Sentiment analysis through critic learning for optimizing convolutional neural networks with rules. Neurocomputing 356 (2019)
Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang
Exploring Communities in Large Profiled Graphs. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen
MARES: multitask learning algorithm for Web-scale real-time event summarization. World Wide Web 22 (2) (2019)
Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen
On Spatial-Aware Community Search. IEEE Trans. Knowl. Data Eng. 31 (4) (2019)
Zhenyang Ding, Yangyang Yao, X. Steve Yao, Xiaojun Chen, Chenhuan Wang, Shuang Wang, Tiegen Liu
Demonstration of Compact In situ Mueller-Matrix Polarimetry Based on Binary Polarization Rotators. IEEE Access 7 (2019)
Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu
Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling. Inf. Sci. 486 (2019)
Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen
An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access 7 (2019)
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Lianjie Sun
Learning Personalized End-to-End Task-Oriented Dialogue Generation. NLPCC (1) (2019)
Min Yang, Wei Zhao, Wei Xu, Yabing Feng, Zhou Zhao, Xiaojun Chen, Kai Lei
Multitask Learning for Cross-Domain Image Captioning. IEEE Trans. Multim. 21 (4) (2019)
Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI (2019)
Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye
Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method. IEEE Trans. Cybern. 49 (9) (2019)
Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning. IJCAI (2019)
Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao
Structured Spectral Clustering of PurTree Data. DASFAA (2) (2019)
Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang
PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data. IEEE Trans. Knowl. Data Eng. 30 (3) (2018)
Bowen Zhang, Xiaofei Xu, Min Yang, Xiaojun Chen, Yunming Ye
Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules. IEEE Access 6 (2018)
Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang
Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut. KDD (2018)
Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang
Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation. SDM (2018)
Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen
A Semi-Supervised Network Embedding Model for Protein Complexes Detection. AAAI (2018)
Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu
Personalized response generation by Dual-learning based domain adaptation. Neural Networks 103 (2018)
Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Ming Zhong
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognit. 76 (2018)
Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang
Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu
Supervised Feature Selection With a Stratified Feature Weighting Method. IEEE Access 6 (2018)
Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. IJCAI (2018)
Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. AAAI (2018)
Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei
Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307 (2018)
Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu
A Stratified Feature Ranking Method for Supervised Feature Selection. AAAI (2018)
Bingkun Chen, Hong Zhou, Xiaojun Chen
E-Embed: A time series visualization framework based on earth mover's distance. J. Vis. Lang. Comput. 48 (2018)
Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu
A Topic Drift Model for authorship attribution. Neurocomputing 273 (2018)
Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu
Detecting Review Spammer Groups. AAAI (2017)
Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu
A Self-Balanced Min-Cut Algorithm for Image Clustering. ICCV (2017)
Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen
Attention Based LSTM for Target Dependent Sentiment Classification. AAAI (2017)
Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang
Semi-supervised Feature Selection via Rescaled Linear Regression. IJCAI (2017)
Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang
Scalable Normalized Cut with Improved Spectral Rotation. IJCAI (2017)
Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming
Local PurTree Spectral Clustering for Massive Customer Transaction Data. IEEE Intell. Syst. 32 (2) (2017)
Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters. EMNLP (2017)
Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, Zigang Cao
Personalized Response Generation via Domain adaptation. SIGIR (2017)
Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Zhou Zhao, Xiaojun Chen
Leveraging Long and Short-term Information in Content-aware Movie Recommendation. CoRR (2017)
Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu
Online Multi-Instance Multi-Label learning for protein function prediction. BIBM (2016)
Xiaojun Chen, Joshua Zhexue Huang, Jun Luo
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data. ICDE (2016)
He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen
Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data. PAISI (2016)
Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
Big data analytics on Apache Spark. Int. J. Data Sci. Anal. 1 (3-4) (2016)
Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang
A LDA Feature Grouping Method for Subspace Clustering of Text Data. PAISI (2014)
Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye
TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data. IEEE Trans. Knowl. Data Eng. 25 (4) (2013)
Baoxun Xu, Yunming Ye, Qiang Wang, Junjie Li, Xiaojun Chen
Random forest using tree selection method to classify unbalanced data. ICDIP (2012)
Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang
A feature group weighting method for subspace clustering of high-dimensional data. Pattern Recognit. 45 (1) (2012)
Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng
Scalable Random Forests for Massive Data. PAKDD (1) (2012)
Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng
Scalable Subspace Logistic Regression Models for High Dimensional Data. APWeb (2012)
Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu
A Survey of Open Source Data Mining Systems. PAKDD Workshops (2007)
Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen
: A Web Ranking Algorithm Based on Correlation of Multiple Features. CICLing (2006)
Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu
Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering. PAKDD (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaojun Chen