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ORCIDXiaojun Chen 0006
Person information
- affiliation: Shenzhen University, College of Computer Science and Software, China
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- affiliation (PhD 2011): Harbin Institute of Technology, Shenzhen Graduate School, China
Other persons with the same name
- Xiaojun Chen — disambiguation page
- Xiaojun Chen 0001
![[0000-0002-6627-2637]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6627-2637")
— The Hong Kong Polytechnic University (and 1 more) - Xiaojun Chen 0002 — China Electronic Systems Engineering Corporation, Beijing, China (and 1 more)
- Xiaojun Chen 0003 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Xiaojun Chen 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Xiaojun Chen 0005 — Affiliated Hospital of Jiangsu University, Zhenjiang, China
- Xiaojun Chen 0007 — Xi'an University of Technology, School of Computer Science and Engineering, China
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Journal Articles
- 2025
[j47]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
Structured multi-view k-means clustering. Pattern Recognit. 160: 111113 (2025)- [j46]Zitong Zhang, Xiaojun Chen, Chen Wang, Ruili Wang, Wei Song, Feiping Nie:
A Structured Bipartite Graph Learning method for ensemble clustering. Pattern Recognit. 160: 111133 (2025) - 2024
- [j45]Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen:
Open-world structured sequence learning via dense target encoding. Inf. Sci. 680: 121147 (2024) - [j44]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: 111968 (2024) - 2023
- [j43]Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen:
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering. Inf. Process. Manag. 60(3): 103297 (2023) - 2022
- [j42]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: 109943 (2022) - [j41]Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Directly solving normalized cut for multi-view data. Pattern Recognit. 130: 108809 (2022) - [j40]Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao:
Semisupervised Feature Selection via Structured Manifold Learning. IEEE Trans. Cybern. 52(7): 5756-5766 (2022) - [j39]Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang:
Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression. IEEE Trans. Cybern. 52(8): 8413-8424 (2022) - 2021
- [j38]Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang:
Adaptive discriminant analysis for semi-supervised feature selection. Inf. Sci. 566: 178-194 (2021) - [j37]Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming:
Learning unsupervised node representation from multi-view network. Inf. Sci. 579: 700-716 (2021) - [j36]Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang:
Selection of diverse features with a diverse regularization. Pattern Recognit. 120: 108154 (2021) - [j35]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): 761-775 (2021) - [j34]Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie:
Fast Manifold Ranking With Local Bipartite Graph. IEEE Trans. Image Process. 30: 6744-6756 (2021) - [j33]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): 2744-2757 (2021) - [j32]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): 4419-4431 (2021) - 2020
- [j31]Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen:
Enhanced Balanced Min Cut. Int. J. Comput. Vis. 128(7): 1982-1995 (2020) - [j30]Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang:
Discriminative Streaming Network Embedding. Knowl. Based Syst. 190: 105138 (2020) - [j29]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: 106398 (2020) - [j28]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): 4680-4693 (2020) - [j27]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): 4946-4957 (2020) - [j26]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: 9627-9640 (2020) - [j25]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): 165-176 (2020) - [j24]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): 725-736 (2020) - 2019
- [j23]Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen:
An Asymptotic Ensemble Learning Framework for Big Data Analysis. IEEE Access 7: 3675-3693 (2019) - [j22]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: 144561-144571 (2019) - [j21]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: 21-30 (2019) - [j20]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: 271-286 (2019) - [j19]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): 352-364 (2019) - [j18]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): 3230-3241 (2019) - [j17]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): 783-798 (2019) - [j16]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): 1624-1629 (2019) - [j15]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): 1047-1061 (2019) - [j14]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): 499-515 (2019) - 2018
- [j13]Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu:
Supervised Feature Selection With a Stratified Feature Weighting Method. IEEE Access 6: 15087-15098 (2018) - [j12]Bowen Zhang, Xiaofei Xu, Min Yang, Xiaojun Chen, Yunming Ye:
Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules. IEEE Access 6: 58284-58294 (2018) - [j11]Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu:
A Topic Drift Model for authorship attribution. Neurocomputing 273: 133-140 (2018) - [j10]Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei:
Feature-enhanced attention network for target-dependent sentiment classification. Neurocomputing 307: 91-97 (2018) - [j9]Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu:
Personalized response generation by Dual-learning based domain adaptation. Neural Networks 103: 72-82 (2018) - [j8]Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming:
TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering. Pattern Recognit. 76: 404-415 (2018) - [j7]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): 559-572 (2018) - [j6]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): 6362-6373 (2018) - [j5]Bingkun Chen, Hong Zhou, Xiaojun Chen:
E-Embed: A time series visualization framework based on earth mover's distance. J. Vis. Lang. Comput. 48: 110-122 (2018) - 2017
- [j4]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): 37-44 (2017) - 2016
- [j3]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): 145-164 (2016) - 2013
- [j2]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): 932-944 (2013) - 2012
- [j1]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): 434-446 (2012)
Conference and Workshop Papers
- 2025
- [c51]Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan:
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. AAAI 2025: 22506-22514 - 2024
- [c50]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: 9350-9358 - [c49]Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-Level Cross-Modal Alignment for Image Clustering. AAAI 2024: 14695-14703 - [c48]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: 10028-10039 - [c47]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Qin Zhang, Mark Junjie Li, Hanjing Su, Qingyao Wu:
A Payment Transaction Pre-training Model for Fraud Transaction Detection. CIKM 2024: 932-941 - [c46]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: 11658-11668 - [c45]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised Multiple Choices Question Answering Via Universal Corpus. ICASSP 2024: 11771-11775 - [c44]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c43]Xiaojun Chen, Jimeng Lou, Wenxi Huang, Ting Wan, Qin Zhang, Min Yang:
ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios. ACM Multimedia 2024: 9165-9174 - [c42]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:
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models. NeurIPS 2024 - [c41]Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen:
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns. NeurIPS 2024 - 2023
- [c40]Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-Enhanced Image Clustering. AAAI 2023: 6869-6878 - [c39]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: 14447-14465 - [c38]Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger:
Multi-modal Chinese Fake News Detection. ICDM (Workshops) 2023: 109-117 - [c37]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: 4576-4583 - 2022
- [c36]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. AAAI 2022: 7488-7496 - [c35]Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang:
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences. ICDM 2022: 703-712 - 2021
- [c34]Junxian Wu, Xiaojun Chen, Shaotian Cai, Yongqi Li, Huzi Wu:
Deep Structured Clustering of Short Text. Big Data (CCF) 2021: 310-323 - [c33]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CIKM 2021: 1028-1037 - 2020
- [c32]Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie:
Unsupervised Deep Hashing with Structured Similarity Learning. APWeb/WAIM (2) 2020: 500-514 - [c31]Xu Huang, Bowen Zhang, Yunming Ye, Xiaojun Chen, Xutao Li:
A Noise Adaptive Model for Distantly Supervised Relation Extraction. NLPCC (1) 2020: 519-530 - [c30]Min Yang, Ying Shen, Xiaojun Chen, Chengming Li:
Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference. SIGIR 2020: 1913-1916 - 2019
- [c29]Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen:
Exploring Human-Like Reading Strategy for Abstractive Text Summarization. AAAI 2019: 7362-7369 - [c28]Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie:
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis. AAAI 2019: 10083-10084 - [c27]Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao:
Structured Spectral Clustering of PurTree Data. DASFAA (2) 2019: 485-501 - [c26]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs (Extended Abstract). ICDE 2019: 2159-2160 - [c25]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: 5349-5355 - [c24]Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Lianjie Sun:
Learning Personalized End-to-End Task-Oriented Dialogue Generation. NLPCC (1) 2019: 55-66 - 2018
- [c23]Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu:
A Stratified Feature Ranking Method for Supervised Feature Selection. AAAI 2018: 8059-8060 - [c22]Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing:
Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement. AAAI 2018: 8177-8178 - [c21]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: 8185-8186 - [c20]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: 3676-3682 - [c19]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: 1206-1215 - [c18]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: 630-638 - 2017
- [c17]Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu:
Detecting Review Spammer Groups. AAAI 2017: 5011-5012 - [c16]Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen:
Attention Based LSTM for Target Dependent Sentiment Classification. AAAI 2017: 5013-5014 - [c15]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: 527-533 - [c14]Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu:
A Self-Balanced Min-Cut Algorithm for Image Clustering. ICCV 2017: 2080-2088 - [c13]Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang:
Scalable Normalized Cut with Improved Spectral Rotation. IJCAI 2017: 1518-1524 - [c12]Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang:
Semi-supervised Feature Selection via Rescaled Linear Regression. IJCAI 2017: 1525-1531 - [c11]Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, Zigang Cao:
Personalized Response Generation via Domain adaptation. SIGIR 2017: 1021-1024 - 2016
- [c10]Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu:
Online Multi-Instance Multi-Label learning for protein function prediction. BIBM 2016: 780-785 - [c9]Xiaojun Chen, Joshua Zhexue Huang, Jun Luo:
PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data. ICDE 2016: 661-672 - [c8]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: 63-72 - 2014
- [c7]Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang:
A LDA Feature Grouping Method for Subspace Clustering of Text Data. PAISI 2014: 78-90 - 2012
- [c6]Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Subspace Logistic Regression Models for High Dimensional Data. APWeb 2012: 685-694 - [c5]Baoxun Xu, Yunming Ye, Qiang Wang, Junjie Li, Xiaojun Chen:
Random forest using tree selection method to classify unbalanced data. ICDIP 2012: 83344F - [c4]Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng:
Scalable Random Forests for Massive Data. PAKDD (1) 2012: 135-146 - 2007
- [c3]Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu:
A Survey of Open Source Data Mining Systems. PAKDD Workshops 2007: 3-14 - 2006
- [c2]Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen:
MFCRank: A Web Ranking Algorithm Based on Correlation of Multiple Features. CICLing 2006: 378-388 - [c1]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: 189-198
Informal and Other Publications
- 2024
- [i15]Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai:
Multi-level Cross-modal Alignment for Image Clustering. CoRR abs/2401.11740 (2024) - [i14]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i13]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 abs/2402.16389 (2024) - [i12]Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang:
Unsupervised multiple choices question answering via universal corpus. CoRR abs/2402.17333 (2024) - [i11]Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen:
ROGPL: Robust Open-Set Graph Learning via Region-Based Prototype Learning. CoRR abs/2402.18495 (2024) - [i10]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 abs/2405.20978 (2024) - [i9]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 abs/2406.05862 (2024) - 2023
- [i8]Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan:
G2xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns. CoRR abs/2308.05463 (2023) - 2022
- [i7]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang:
Deep Unsupervised Hashing with Latent Semantic Components. CoRR abs/2203.09420 (2022) - [i6]Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen:
Semantic-enhanced Image Clustering. CoRR abs/2208.09849 (2022) - [i5]Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang:
A Survey for Efficient Open Domain Question Answering. CoRR abs/2211.07886 (2022) - 2021
- [i4]Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen:
Deep Self-Adaptive Hashing for Image Retrieval. CoRR abs/2108.07094 (2021) - 2020
- [i3]Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang:
A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients. CoRR abs/2010.13359 (2020) - 2019
- [i2]Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang:
Exploring Communities in Large Profiled Graphs. CoRR abs/1901.05451 (2019) - 2017
- [i1]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 abs/1712.09059 (2017)
Coauthor Index
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last updated on 2025-06-25 22:04 CEST by the dblp team
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