Year 2024

1. Weijian Ma, Shuaiqi Chen, Yunzhong Lou, Xueyang Li, Xiangdong Zhou: Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), June, 2024, Seattle, USA.  Accepted   

2. Haotian Chen，Houjing Guo, Bingsheng Chen, Xiangdong Zhou. OODREB: Benchmarking State-of-the-Art Methods for Out-of-Distribution Generalization on Relation Extraction.  In The 2024 ACM Web Conference (WWW 2024), May, 2024, Singapore.  Accepted

3.Guichun Zhou, Yijiang Chen, Xiangdong Zhou: Score Network with Adaptive Augmentation Aggregator for Multivariate Time Series Representation Contrastive Learning,  the 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024). July 2024, Gifu, Japan. Accepted

4. Xueyang Li, Haotian Chen, Yuncong Lou, Xiangdong Zhou: CF-CAD: A Contrastive Fusion Network For 3D Computer-Aided Design Generative Modeling. The 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024) , July, 2024, Gifu, Japan. Accepted

Year 2023

1. Zhixin Ling, Zhen Xing, Xiangdong Zhou, Manliang Cao, Guichun Zhou: PanoSwin: a Pano-style Swin Transformer for Panorama Understanding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), June 2023, Vancouver, Canada.   

2.Haotian Chen，Bingsheng Chen, Xiangdong Zhou. Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level RE. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 9-14, 2023, Toronto, Canada. 

3. Haotian Chen, Han Zhang, Xiangdong Zhou et al. Supervised Aspect Learning for Multi-Document Summarization, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2023) , September,  2023, Turin, Italy.

4.Xueyang Li, Mingyang Xu, Xiangdong Zhou. Twins-Mix: Self Mixing in Latent Space For Reasonable Data Augmentation of 3D Computer-Aided Design Generative Modeling. The IEEE International Conference on Multimedia & Expo (ICME 2023), July 2023， Australia.  

5.Weijian Ma, Mingyang Xu, Xueyang Li, Xiangodng Zhou. MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models, The ACM International Conference on Information and Knowledge Management ( CIKM 2023 ), Oct, 2023, Birmingham UK.  Accepted

6.Yunzhong Lou,  Haotian Chen, Xiangdong Zhou. BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning, The ACM International Conference on Information and Knowledge Management ( CIKM 2023 ), Oct, 2023, Birmingham UK. Accepted

7. Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen and Xiangdong Zhou. Recovering Missing Key Information: An Aspect-guided Generator for Abstractive Multi-document Summarization. In the 28th International Conference on Database Systems for Advanced Applications (DASFAA 2023). (Short paper)  

Year 2022

1. Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang:  Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network.  The 17th European Conference on Computer Vision ( ECCV 2022) ,  October 2022,   Tel Aviv, Israel

2. Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou: Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval.  The 17th European Conference on Computer Vision ( ECCV 2022) ,   October 2022,   Tel Aviv, Israel

3. Yue Pang, Xiangdong Zhou Junqi Zhang, Quan Sun,Jianbin Zheng: Hierarchical Electricity Time Series Prediction with Cluster Analysis and Sparse Penalty, Pattern Recognition (PR) Vol.126, June 2022. Elsevier Journal.  

4. Zhidan Liu, Zhen Xing, Xiangdong Zhou, Yijiang Chen, Guicun Zhou: 3D-Augmented Contrastive Knowledge Distillation for Image-based Object Pose Estimation, Proceedings of the 2022 International Conference on Multimedia Retrieval (ICMR 2022), June 2022.  Full Paper

5. Yijiang Chen，Xiangdong Zhou et al.：CaSS: A Channel-aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification，the 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022). Full Paper 

Year 2021

1.  Manliang Cao, Xiangdong Zhou et al. : Double Ensemble Soft Transfer Network for Unsupervised Domain adaptation, the 26th International Conference on Database Systems for Advanced Applications (DASFAA2021).  2021  Full Paper

Year 2020

1.  Manliang Cao, Xiangdong Zhou: Soft Labels Transfer with Discriminative Representations Learning for Unsupervised Domain Adaptation. Machine Learning and Knowledge Discovery in Databases - European Conference 2020, (ECML-PKDD 2020). Full Paper.

Year 2019

1. Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang and Bo Yao: Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification.The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019).Full Paper

2.  Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo and Yingjie Tian：Generative Adversarial Learning based Commercial Building Electricity Time Series Prediction. IEEE the 31st International Conference on Tools with Artificial Intelligence (ICTAI 2019).

3.  Lin Zhu, Xu Sun, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou and Yingjie Tian: Incremental Discovery of Order Dependencies on Tuple Insertions. DASFAA (1) 2019: 157-174

4.  Bo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu and Zijing Tan: Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder. DASFAA (3) 2019: 264-267 

Year 2018

1. H. Yang, X. Zhou, et al. ,:Deep Sparse Informative Transfer SoftMax for
Cross-Domain Image Classifcation, the 23rd International Conference on Database Systems for Advanced Applications (DASFAA’18) 2018 , Gold Coast, Australia, Full Paper.

2. Y. Pang, B. Yao, X. Zhou, Y. Zhang, Y. Xu, Z. Tan：Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency. The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI 2018) 2018, Stockholm, Sweden, Full Paper.

Year 2014

1. W. Chan, J. Du, W. Yang, X. Zhou, Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification, the 23th ACM International Conference on Information and Knowledge Management(CIKM’14), Shanghai, China. Full Paper.

2.Jintao Du, Wen Chan, Xiangdong Zhou: A Product Aspects Identification Method by Using Translation-Based Language Model. ICPR 2014: 2790-2795

3. K. He,, X. Zhou, Image Region Labeling by Exploring Contextual Information of Visual Spatial and Semantic Concepts, PCM2014.

Year 2013

1. W. Chan, W. Yang, J. Du, X. Zhou, Community Question Topic Categorization via Hierarchical Kernelized Classification. The Twenty-Second ACM International Conference on Information and Knowledge Management (CIKM’13), San Francisco, CA, USA. Full Paper.

2. Z. Lin, W. Chan, K. He, X. Zhou, Mei Wang: Conditional Random Fields for Image Region Labeling with Global Observation. PCM 2013: 586-597

3. Y.-T. Zheng, S. Yan, Z.-J. Zha, Y. Li, X. Zhou, T.-S. Chua, R. Jain: GPSView: A scenic driving route planner. TOMCCAP 9(1): 3 (2013)

• Year 2012

1. W. Chan, X. Zhou, W. Wang, T.-S. Chua, Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization, The 50th Annual Meeting of the Association for Computational Linguistics (ACL’12), Jeju, Korea.  2012.7 (Long paper,  oral presentation) (PDF)

2. C. Ji, X. Zhou, Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling. The 2012 European Conference on Computer Vision (ECCV’12), Florence, Italy  (PDF)

• Year 2011

1. J. Yuan, Z.-J. Zha, Y.-T. Zheng, M. Wang, X. Zhou, T.-S. Chua, Learning Concept Bundles for Video Search with Complex Queries, The 2011 ACM International Conference on Multimedia (MM’11), Arizona,USA (Long paper)

2. Y.-L. Zhao, Y.-T. Zheng, X. Zhou, T.-S. Chua, Generating Representative Views of Landmarks via Scenic Theme Detection. International Conference on Multimeida Modeling (MMM’11) Taipei, 2011: 392-402 (Best Paper Award)

3. Y. Song, Y.-T. Zheng, S. Tang, X. Zhou, Y. Zhang, S. Lin, T.-S. Chua, “Localized Multiple Kernel Learning for Realistic Human Action Recognition in Videos”, IEEE Transactions on Circuits and Systems for Video Technology, V.21(9), 2011.

4. J. Yuan, Z. Zha, Y. Zheng, M. Wang, X. Zhou, T. Chua, Utilizing Related Samples to Enhance Interactive Concept-based Video Search, IEEE Transaction on Multimedia (TMM) V.13(6),2011

Year 2010

1  Z. Liu, X. Zhou, Y. Xiang, Y.-T. Zheng, Learning Contextual Metrics for Automatic Image Annotation, The 2010 Pacific-Rim Conference on Multimedia (PCM’10), 21-24 September, 2010, Shanghai, China.

2.  J. Yuan, Z.-J. Zha, Z. Zhao, X. Zhou and T.-S. Chua, Utilizing Related Samples to Learn Complex Queries in Interactive Concept-based Video Search. In Proceedings of the 9th ACM Int’l Conf. on Image and Video Retrieval (CIVR’10), 5-7 July, 2010. Xi’an, China.

3.  Y. Xiang, X. Zhou, Z. Liu,T.-S. Chua, C.-W. Ngo. Semantic Context Modeling with Maximal Margin Conditional Random Fields for Automatic Image Annotation. In Proceedings of t he 23th IEEE Conference on Computer Vision and Pattern Recognition (CVPR’10), 13-18 June, 2010. San Fransico, CA, USA. (PDF)

4.  M. Wang, Y. Wu, G. Li, X. Zhou. Object Recognition via Adaptive Multi-level Feature Integration. The 12th International Asia-Pacific Web Conference (APWeb’10), 6-8 April, 2010, Busan, Korea.

Year 2009

1.  H. Xu, X. Zhou, M. Wang, Y. Xiang. Exploring Flickr’s Related Tags for Semantic Annotation of Web Images, In Proceedings of the 8th ACM Int’l Conf. on Image and Video Retrieval (CIVR’09), 8-10 July 2009. Santorini, Greece (PDF).

2.  Y. Xiang, X. Zhou, T.-S. Chua, C.-W. Ngo. A Revisit of Generative Model for Automatic Image Annotation using Markov Random Fields, In Proceedings of the 22th IEEE Conference on Computer Vision and Pattern Recognition (CVPR’09), 20-25 June, 2009. Miami Beach, Florida , USA. (PDF)

3.  H. Xu, X. Zhou , L. Lin, M. Wang, T.-S. Chua. Adaptive Model for Integrating Different Types of Associated Texts for Effective Annotation of Web Images, In Proceedings of the 15th International MultiMedia Modeling Conference (MMM’09), 7-9 January 2009, EURECOM, Sophia Antipolis, France. (PDF)

4.  H. Xu, X. Zhou, L. Lin, Y. Xiang, B. Shi. Automatic Web Image Annotation via Web-Scale Image Semantic Space Learning, In Proceedings of the Joint International Conferences on Asia-Pacific Web Conference (APWeb) and Web-Age Information Management (WAIM), 1-4 April, 2009, Suzhou, China

5.  G. Hao, X. Zhou, Y. Xiang. A Feature Space Near Neighbor Index for SVM based Image Retrieval. Technical Report

• Year 2008

1.  H. Xu, X. Zhou , L. Lin. WISA: A Novel Web Image Semantic Analysis System. In Proceedings of the 31st Annual International ACM ( SIGIR’08 ) Conference , 20-24 July 2008, Singapore

2.  M. Wang, H. Xu, G. Hao, X. Zhou, Q. Zhang, W. Wang, B. Shi. PictureBook: A Text-and-Image Summary System for Web Search Result. In proceedings of the 24th IEEE Int’l Conf. on Data Engineering ( ICDE’08 ), Cancun, Mexico, April, 2008 (Demo) (PDF)

3.  M. Wang, X. Zhou, T.-S. Chua. Image Semantic Annotation via Local Multi-label Classification. The 7th ACM Int’l Conf. on Image and Video Retrieval ( CIVR’08 ), July 7-9 2008, Canada , Niagara fall.(PDF) (oral presentation)

4.  M. Wang, H. Xu, X. Zhou. Web Image Annotation Based on Automatically Obtained Noisy Training Set, The 10th Asia-Pacific Web Conference ( APWeb’08 ) 26-28 April 2008, Shenyang , China, ( Best Student Paper Award )

5.  M. Wang, L. Lin, X. Zhou . Using Local Discriminant Topic to Improve Generative Model Based Image Annotation , IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing ( ICASSP’08 ), March 30 – April 4, 2008. Las Vegas , USA .

• Year 2007

1.  X. Zhou, M. Wang, J. Zhang, Q. Zhang, B. Shi. Automatic Image Annotation By An Iterative Approach: Incorporating Keyword Correlations And Region Matching. In Proceedings of the 6 th ACM Int’l Conf. on Image and Video Retrieval ( CIVR’07 ), Amsterdam, Netherlands, 2007 ; p.25-32 (oral presentation) (PDF)

2.  J. Yuan, X. Zhou, H. Xu, M. Wang, W. Wang, A Novelty active learning approach for SVM based web image retrieval. In proceedings of Int’l Pacific Rim Conference on Multimedia (PCM’07 ) 2007. Hongkong.

3.  J. Yuan, X. Zhou, J. Zhang, M. Wang, W. Wnag, Q. Zhang, B. Shi. Positive Sample Enhanced Angle-Diversity Active Learning for SVM Based Image Retrieva. In Proceedings of IEEE Int’l Conf. of Multimedia and Expo ( ICME’07 ), Beijin, 2007;

4.  M. Wang, X. Zhou, Q. Zhang, J. Zhang, H. Xu. Improve Image Semantic Annotation by Smoothing Continuous Feature Estimation  , 5th International Workshop on Adaptive Multimedia Retrieval ( AMR ), France, Paris, 2007;

5.  J. Zhang, X. Zhou. Query Sampling Based High Dimensional Hybrid Index , SIGMOD 2007 Ph.D. Workshop on Innovative Database Research 2007( IDAR 2007), June 10, 2007, Beijing, China, p39-44

• Year 2006 &  before~

1.  J. Zhang, X. Zhou, W. Wang, J. Pei, B. Shi. Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrieval ， In Proceedings of the 32nd International Conference of Very Large Data Base ( VLDB’06 ) , Seoul, Korea, 2006. p1211-1214 (PDF)

2.  X. Zhou, L. Chen, J. Ye, Q. Zhang, B. Shi. An image annotation method based on image keyword document model . In Proceedings of the 4 th International Conference on Image and Video Retrieval ( CIVR’05 ), 2005. Singapore . LNCS 3568, p184-193 (oral presentation)

3.  X. Zhou, J. Ye, L. Chen, L. Zhang, B. Shi. An image annotation with topic smoothing . Proceedings of the 6 th International Conference of Intelligent Data Engineering and Automated Learning (IDEAL’05) , 2005, Australia. LNCS 3578, p86-93

4.  J. Ye, X. Zhou, J. Pei, L. Chen, L. Zhang. A stratification-based approach to accurate and fast image annotation . Proceedings of The 6th Int’l Conf. on Web-Age Information Management ( WAIM’05 ), Hangzhou, China, 2005,Springer:LNCS 3739 p284-296

5.  X. Zhou, Q. Zhang, L. Liu, L. Zhang, B. Shi. An image retrieval method based on analysis of feedback sequence log, Pattern Recognition Letters 24(14),2003 pp.2499-2508