Xiaojun Chen

According to our database, Xiaojun Chen authored at least 97 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models.

Xiaojun Chen, Ting Liu, Philippe Fournier-Viger, Bowen Zhang, Guodong Long, Qin Zhang

Knowl. Based Syst., 2024

Open-world structured sequence learning via dense target encoding.

Qin Zhang, Ziqi Liu, Qincai Li, Haolong Xiang, Zhizhi Yu, Junyang Chen, Peng Zhang, Xiaojun Chen

Inf. Sci., 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

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

CoRR, 2024

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.

Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

CoRR, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu, Ye Li, Jianping Fan

CoRR, 2024

Representation Surgery for Multi-Task Model Merging.

Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unsupervised Multiple Choices Question Answering Via Universal Corpus.

Qin Zhang, Hao Ge, Xiaojun Chen, Meng Fang

Proceedings of the IEEE International Conference on Acoustics, 2024

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property.

Shiwen Ni, Minghuan Tan, Yuelin Bai, Fuqiang Niu, Min Yang, Bowen Zhang, Ruifeng Xu, Xiaojun Chen, Chengming Li, Xiping Hu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training.

Feiteng Fang, Yuelin Bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning.

Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Multi-Level Cross-Modal Alignment for Image Clustering.

Liping Qiu, Qin Zhang, Xiaojun Chen, Shaotian Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering.

Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen

Inf. Process. Manag., May, 2023

G²xy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

CoRR, 2023

G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns.

Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Multi-modal Chinese Fake News Detection.

Wenxi Huang, Zhangyi Zhao, Xiaojun Chen, Mark Junjie Li, Qin Zhang, Philippe Fournier-Viger

Proceedings of the IEEE International Conference on Data Mining, 2023

A Survey for Efficient Open Domain Question Answering.

Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Semantic-Enhanced Image Clustering.

Shaotian Cai, Liping Qiu, Xiaojun Chen, Qin Zhang, Longteng Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression.

Chen Wang, Xiaojun Chen, Guowen Yuan, Feiping Nie, Min Yang

IEEE Trans. Cybern., 2022

Semisupervised Feature Selection via Structured Manifold Learning.

Xiaojun Chen, Renjie Chen, Qingyao Wu, Feiping Nie, Min Yang, Rui Mao

IEEE Trans. Cybern., 2022

Directly solving normalized cut for multi-view data.

Chen Wang, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang

Pattern Recognit., 2022

Logic tensor network with massive learned knowledge for aspect-based sentiment analysis.

Hu Huang, Bowen Zhang, Liwen Jing, Xianghua Fu, Xiaojun Chen, Jianyang Shi

Knowl. Based Syst., 2022

A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences.

Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier-Viger, Joshua Zhexue Huang

Proceedings of the IEEE International Conference on Data Mining, 2022

Deep Unsupervised Hashing with Latent Semantic Components.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shaotian Cai, Wenzhe Zhao, Hongfa Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

An Effective Hybrid Learning Model for Real-Time Event Summarization.

Min Yang, Qiang Qu, Ying Shen, Zhou Zhao, Xiaojun Chen, Chengming Li

IEEE Trans. Neural Networks Learn. Syst., 2021

Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization.

Min Yang, Chengming Li, Ying Shen, Qingyao Wu, Zhou Zhao, Xiaojun Chen

IEEE Trans. Neural Networks Learn. Syst., 2021

Fast Manifold Ranking With Local Bipartite Graph.

Xiaojun Chen, Yuzhong Ye, Qingyao Wu, Feiping Nie

IEEE Trans. Image Process., 2021

Neural Attentive Network for Cross-Domain Aspect-Level Sentiment Classification.

Min Yang, Wenpeng Yin, Qiang Qu, Wenting Tu, Ying Shen, Xiaojun Chen

IEEE Trans. Affect. Comput., 2021

Selection of diverse features with a diverse regularization.

Weichan Zhong, Xiaojun Chen, Qingyao Wu, Min Yang, Joshua Zhexue Huang

Pattern Recognit., 2021

Adaptive discriminant analysis for semi-supervised feature selection.

Weichan Zhong, Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang

Inf. Sci., 2021

Learning unsupervised node representation from multi-view network.

Chen Wang, Xiaojun Chen, Bingkun Chen, Feiping Nie, Bo Wang, Zhong Ming

Inf. Sci., 2021

Deep Self-Adaptive Hashing for Image Retrieval.

Qinghong Lin, Xiaojun Chen, Qin Zhang, Shangxuan Tian, Yudong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Deep Structured Clustering of Short Text.

Junxian Wu, Xiaojun Chen, Shaotian Cai, Yongqi Li, Huzi Wu

Proceedings of the Big Data - 9th CCF Conference, 2021

2020

LABIN: Balanced Min Cut for Large-Scale Data.

Xiaojun Chen, Renjie Chen, Qingyao Wu, Yixiang Fang, Feiping Nie, Joshua Zhexue Huang

IEEE Trans. Neural Networks Learn. Syst., 2020

Semi-Supervised Feature Selection via Sparse Rescaled Linear Square Regression.

Xiaojun Chen, Guowen Yuan, Feiping Nie, Zhong Ming

IEEE Trans. Knowl. Data Eng., 2020

An Ensemble of Generation- and Retrieval-Based Image Captioning With Dual Generator Generative Adversarial Network.

Min Yang, Junhao Liu, Ying Shen, Zhou Zhao, Xiaojun Chen, Qingyao Wu, Chengming Li

IEEE Trans. Image Process., 2020

Leveraging Long and Short-Term Information in Content-Aware Movie Recommendation via Adversarial Training.

Wei Zhao, Benyou Wang, Min Yang, Jianbo Ye, Zhou Zhao, Xiaojun Chen, Ying Shen

IEEE Trans. Cybern., 2020

An Advanced Deep Generative Framework for Temporal Link Prediction in Dynamic Networks.

Min Yang, Junhao Liu, Lei Chen, Zhou Zhao, Xiaojun Chen, Ying Shen

IEEE Trans. Cybern., 2020

A memory network based end-to-end personalized task-oriented dialogue generation.

Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Zhongjie Wang

Knowl. Based Syst., 2020

Discriminative Streaming Network Embedding.

Yiyan Qi, Jiefeng Cheng, Xiaojun Chen, Reynold Cheng, Albert Bifet, Pinghui Wang

Knowl. Based Syst., 2020

Enhanced Balanced Min Cut.

Xiaojun Chen, Weijun Hong, Feiping Nie, Joshua Zhexue Huang, Li Shen

Int. J. Comput. Vis., 2020

A Distributed Training Algorithm of Generative Adversarial Networks with Quantized Gradients.

Xiaojun Chen, Shu Yang, Li Shen, Xuanrong Pang

CoRR, 2020

Multi-source Domain Adaptation for Sentiment Classification with Granger Causal Inference.

Min Yang, Ying Shen, Xiaojun Chen, Chengming Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Noise Adaptive Model for Distantly Supervised Relation Extraction.

Xu Huang, Bowen Zhang, Yunming Ye, Xiaojun Chen, Xutao Li

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Unsupervised Deep Hashing with Structured Similarity Learning.

Xuanrong Pang, Xiaojun Chen, Shu Yang, Feiping Nie

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019

MARES: multitask learning algorithm for Web-scale real-time event summarization.

Min Yang, Wenting Tu, Qiang Qu, Kai Lei, Xiaojun Chen, Jia Zhu, Ying Shen

World Wide Web, 2019

Multitask Learning for Cross-Domain Image Captioning.

Min Yang, Wei Zhao, Wei Xu, Yabing Feng, Zhou Zhao, Xiaojun Chen, Kai Lei

IEEE Trans. Multim., 2019

On Spatial-Aware Community Search.

Yixiang Fang, Zheng Wang, Reynold Cheng, Xiaodong Li, Siqiang Luo, Jiafeng Hu, Xiaojun Chen

IEEE Trans. Knowl. Data Eng., 2019

Exploring Communities in Large Profiled Graphs.

Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang

IEEE Trans. Knowl. Data Eng., 2019

Spectral Clustering of Customer Transaction Data With a Two-Level Subspace Weighting Method.

Xiaojun Chen, Wenya Sun, Bo Wang, Zhihui Li, Xizhao Wang, Yunming Ye

IEEE Trans. Cybern., 2019

Subspace Weighting Co-Clustering of Gene Expression Data.

Xiaojun Chen, Joshua Zhexue Huang, Qingyao Wu, Min Yang

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Discovering author interest evolution in order-sensitive and Semantic-aware topic modeling.

Min Yang, Qiang Qu, Xiaojun Chen, Wenting Tu, Ying Shen, Jia Zhu

Inf. Sci., 2019

Sentiment analysis through critic learning for optimizing convolutional neural networks with rules.

Bowen Zhang, Xiaofei Xu, Xutao Li, Xiaojun Chen, Yunming Ye, Zhongjie Wang

Neurocomputing, 2019

An Asymptotic Ensemble Learning Framework for Big Data Analysis.

Salman Salloum, Joshua Zhexue Huang, Yulin He, Xiaojun Chen

IEEE Access, 2019

Demonstration of Compact In situ Mueller-Matrix Polarimetry Based on Binary Polarization Rotators.

Zhenyang Ding, Yangyang Yao, X. Steve Yao, Xiaojun Chen, Chenhuan Wang, Shuang Wang, Tiegen Liu

IEEE Access, 2019

Learning Personalized End-to-End Task-Oriented Dialogue Generation.

Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Lianjie Sun

Proceedings of the Natural Language Processing and Chinese Computing, 2019

Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.

Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring Communities in Large Profiled Graphs (Extended Abstract).

Yankai Chen, Yixiang Fang, Reynold Cheng, Yun Li, Xiaojun Chen, Jie Zhang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Structured Spectral Clustering of PurTree Data.

Xiaojun Chen, Chao Guo, Yixiang Fang, Rui Mao

Proceedings of the Database Systems for Advanced Applications, 2019

Semi-Supervised Feature Selection with Adaptive Discriminant Analysis.

Weichan Zhong, Xiaojun Chen, Guowen Yuan, Yiqin Li, Feiping Nie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Exploring Human-Like Reading Strategy for Abstractive Text Summarization.

Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

E-Embed: A time series visualization framework based on earth mover's distance.

Bingkun Chen, Hong Zhou, Xiaojun Chen

J. Vis. Lang. Comput., 2018

Local Adaptive Projection Framework for Feature Selection of Labeled and Unlabeled Data.

Xiaojun Chen, Guowen Yuan, Wenting Wang, Feiping Nie, Xiaojun Chang, Joshua Zhexue Huang

IEEE Trans. Neural Networks Learn. Syst., 2018

PurTreeClust: A Clustering Algorithm for Customer Segmentation from Massive Customer Transaction Data.

Xiaojun Chen, Yixiang Fang, Min Yang, Feiping Nie, Zhou Zhao, Joshua Zhexue Huang

IEEE Trans. Knowl. Data Eng., 2018

TWCC: Automated Two-way Subspace Weighting Partitional Co-Clustering.

Xiaojun Chen, Min Yang, Joshua Zhexue Huang, Zhong Ming

Pattern Recognit., 2018

Personalized response generation by Dual-learning based domain adaptation.

Min Yang, Wenting Tu, Qiang Qu, Zhou Zhao, Xiaojun Chen, Jia Zhu

Neural Networks, 2018

Feature-enhanced attention network for target-dependent sentiment classification.

Min Yang, Qiang Qu, Xiaojun Chen, Chaoxue Guo, Ying Shen, Kai Lei

Neurocomputing, 2018

A Topic Drift Model for authorship attribution.

Min Yang, Xiaojun Chen, Wenting Tu, Ziyu Lu, Jia Zhu, Qiang Qu

Neurocomputing, 2018

Cross-Domain Sentiment Classification by Capsule Network With Semantic Rules.

Bowen Zhang, Xiaofei Xu, Min Yang, Xiaojun Chen, Yunming Ye

IEEE Access, 2018

Supervised Feature Selection With a Stratified Feature Weighting Method.

Renjie Chen, Ning Sun, Xiaojun Chen, Min Yang, Qingyao Wu

IEEE Access, 2018

Investigating Deep Reinforcement Learning Techniques in Personalized Dialogue Generation.

Min Yang, Qiang Qu, Kai Lei, Jia Zhu, Zhou Zhao, Xiaojun Chen, Joshua Zhexue Huang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Spectral Clustering of Large-scale Data by Directly Solving Normalized Cut.

Xiaojun Chen, Weijun Hong, Feiping Nie, Dan He, Min Yang, Joshua Zhexue Huang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training.

Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Semi-Supervised Network Embedding Model for Protein Complexes Detection.

Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement.

Guowen Yuan, Xiaojun Chen, Chen Wang, Feiping Nie, Liping Jing

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Stratified Feature Ranking Method for Supervised Feature Selection.

Renjie Chen, Xiaojun Chen, Guowen Yuan, Wenya Sun, Qingyao Wu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Local PurTree Spectral Clustering for Massive Customer Transaction Data.

Xiaojun Chen, Si Peng, Joshua Zhexue Huang, Feiping Nie, Yong Ming

IEEE Intell. Syst., 2017

Leveraging Long and Short-term Information in Content-aware Movie Recommendation.

Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Zhou Zhao, Xiaojun Chen

CoRR, 2017

Personalized Response Generation via Domain adaptation.

Min Yang, Zhou Zhao, Wei Zhao, Xiaojun Chen, Jia Zhu, Lianqiang Zhou, Zigang Cao

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Semi-supervised Feature Selection via Rescaled Linear Regression.

Xiaojun Chen, Guowen Yuan, Feiping Nie, Joshua Zhexue Huang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scalable Normalized Cut with Improved Spectral Rotation.

Xiaojun Chen, Feiping Nie, Joshua Zhexue Huang, Min Yang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Self-Balanced Min-Cut Algorithm for Image Clustering.

Xiaojun Chen, Joshua Zhexue Huang, Feiping Nie, Renjie Chen, Qingyao Wu

Proceedings of the IEEE International Conference on Computer Vision, 2017

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters.

Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Attention Based LSTM for Target Dependent Sentiment Classification.

Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Detecting Review Spammer Groups.

Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Big data analytics on Apache Spark.

Salman Salloum, Ruslan Dautov, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang

Int. J. Data Sci. Anal., 2016

Stratified Over-Sampling Bagging Method for Random Forests on Imbalanced Data.

He Zhao, Xiaojun Chen, Thanh-Tung Nguyen, Joshua Zhexue Huang, Graham J. Williams, Hui Chen

Proceedings of the Intelligence and Security Informatics - 11th Pacific Asia Workshop, 2016

PurTreeClust: A purchase tree clustering algorithm for large-scale customer transaction data.

Xiaojun Chen, Joshua Zhexue Huang, Jun Luo

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Online Multi-Instance Multi-Label learning for protein function prediction.

Feng Wu, Qiong Liu, Tianyong Hao, Xiaojun Chen, Qingyao Wu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

A LDA Feature Grouping Method for Subspace Clustering of Text Data.

Yeshou Cai, Xiaojun Chen, Patrick Xiaogang Peng, Joshua Zhexue Huang

Proceedings of the Intelligence and Security Informatics - Pacific Asia Workshop, 2014

2013

TW-k-Means: Automated Two-Level Variable Weighting Clustering Algorithm for Multiview Data.

Xiaojun Chen, Xiaofei Xu, Joshua Zhexue Huang, Yunming Ye

IEEE Trans. Knowl. Data Eng., 2013

2012

A feature group weighting method for subspace clustering of high-dimensional data.

Xiaojun Chen, Yunming Ye, Xiaofei Xu, Joshua Zhexue Huang

Pattern Recognit., 2012

Scalable Random Forests for Massive Data.

Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Random forest using tree selection method to classify unbalanced data.

Baoxun Xu, Yunming Ye, Qiang Wang, Junjie Li, Xiaojun Chen

Proceedings of the Fourth International Conference on Digital Image Processing, 2012

Scalable Subspace Logistic Regression Models for High Dimensional Data.

Shuang Wang, Xiaojun Chen, Joshua Zhexue Huang, Shengzhong Feng

Proceedings of the Web Technologies and Applications - 14th Asia-Pacific Web Conference, 2012

2007

A Survey of Open Source Data Mining Systems.

Xiaojun Chen, Yunming Ye, Graham J. Williams, Xiaofei Xu

Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

2006

Neighborhood Density Method for Selecting Initial Cluster Centers in K-Means Clustering.

Yunming Ye, Joshua Zhexue Huang, Xiaojun Chen, Shuigeng Zhou, Graham J. Williams, Xiaofei Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

<i>MFCRank</i>: A Web Ranking Algorithm Based on Correlation of Multiple Features.

Yunming Ye, Yan Li, Xiaofei Xu, Joshua Zhexue Huang, Xiaojun Chen

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2006