| 2026 | AAAI | ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models. | Jiahao Li, Yusheng Luo, Yunzhong Lou, Xiangdong Zhou |
| 2026 | DASFAA | BRep-H: A Data-Centric Framework for Structured Language-Driven BRep Representation and Reconstruction. | Yunzhong Lou, Yusheng Luo, Yu Song, Jiahao Li, Xueyang Li, Xiangdong Zhou |
| 2026 | DASFAA | NeuroCEA: Cross-Domain Embedding Augmentation with Contrastive Knowledge Distillation for Electrophysiological Time Series Representation. | Guichun Zhou, Xiangdong Zhou |
| 2025 | AAAI | Mamba-CAD: State Space Model for 3D Computer-Aided Design Generative Modeling. | Xueyang Li, Yunzhong Lou, Yu Song, Xiangdong Zhou |
| 2025 | CVPR | CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation. | Jiahao Li, Weijian Ma, Xueyang Li, Yunzhong Lou, Guichun Zhou, Xiangdong Zhou |
| 2024 | CVPR | Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion. | Weijian Ma, Shuaiqi Chen, Yunzhong Lou, Xueyang Li, Xiangdong Zhou |
| 2024 | DASFAA | CF-CAD: A Contrastive Fusion Network For 3D Computer-Aided Design Generative Modeling. | Xueyang Li, Haotian Chen, Yunzhong Lou, Xiangdong Zhou |
| 2024 | DASFAA | Score Network with Adaptive Augmentation Aggregator for Multivariate Time Series Representation Contrastive Learning. | Guichun Zhou, Yijiang Chen, Xiangdong Zhou |
| 2024 | WWW | OODREB: Benchmarking State-of-the-Art Methods for Out-Of-Distribution Generalization on Relation Extraction. | Haotian Chen, Houjing Guo, Bingsheng Chen, Xiangdong Zhou |
| 2023 | ACL | Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction. | Haotian Chen, Bingsheng Chen, Xiangdong Zhou |
| 2023 | ACML | Understanding More Knowledge Makes the Transformer Perform Better in Document-level Relation Extraction. | Haotian Chen, Yijiang Chen, Xiangdong Zhou |
| 2023 | CIKM | BRep-BERT: Pre-training Boundary Representation BERT with Sub-graph Node Contrastive Learning. | Yunzhong Lou, Xueyang Li, Haotian Chen, Xiangdong Zhou |
| 2023 | CIKM | MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models. | Weijian Ma, Minyang Xu, Xueyang Li, Xiangdong Zhou |
| 2023 | CVPR | PanoSwin: a Pano-style Swin Transformer for Panorama Understanding. | Zhixin Ling, Zhen Xing, Xiangdong Zhou, Manliang Cao, Guichun Zhou |
| 2023 | DASFAA | Recovering Missing Key Information: An Aspect-Guided Generator for Abstractive Multi-document Summarization. | Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou |
| 2023 | ICIP | Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering. | Min Peng, Liangchen Liu, Zhenghao Li, Yu Shi, Xiangdong Zhou |
| 2023 | IJCNN | Two-Stream Heterogeneous Graph Network with Dynamic Interactive Learning for Video Question Answering. | Min Peng, Xiaohu Shao, Yu Shi, Xiangdong Zhou |
| 2022 | DASFAA | CaSS: A Channel-Aware Self-supervised Representation Learning Framework for Multivariate Time Series Classification. | Yijiang Chen, Xiangdong Zhou, Zhen Xing, Zhidan Liu, Minyang Xu |
| 2022 | ECCV | Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval. | Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou |
| 2022 | ECCV | Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network. | Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang |
| 2021 | DASFAA | Double Ensemble Soft Transfer Network for Unsupervised Domain Adaptation. | Manliang Cao, Xiangdong Zhou, Lan Lin, Bo Yao |
| 2019 | ACII | A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition. | Min Peng, Chongyang Wang, Tao Bi, Yu Shi, Xiangdong Zhou, Tong Chen |
| 2019 | CIKM | Adversarial Domain Adaptation with Semantic Consistency for Cross-Domain Image Classification. | Manliang Cao, Xiangdong Zhou, Yiming Xu, Yue Pang, Bo Yao |
| 2019 | DASFAA | Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder. | Bo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu, Zijing Tan |
| 2019 | DASFAA | Incremental Discovery of Order Dependencies on Tuple Insertions. | Lin Zhu, Xu Sun, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou, Yingjie Tian |
| 2019 | ICIG | DFQA: Deep Face Image Quality Assessment. | Fei Yang, Xiaohu Shao, Lijun Zhang, Pingling Deng, Xiangdong Zhou, Yu Shi |
| 2019 | ICTAI | Improving Irregular Text Recognition by Integrating Gabor Convolutional Network. | Zhaohong Guo, Hui Xu, Feng Lu, Qiufeng Wang, Xiangdong Zhou, Yu Shi |
| 2019 | ICTAI | Visual Sequence Place Recognition with Improved Dynamic Time Warping. | Feng Lu, Baifan Chen, Zhaohong Guo, Xiangdong Zhou |
| 2019 | ICTAI | Generative Adversarial Learning Based Commercial Building Electricity Time Series Prediction. | Yue Pang, Xiangdong Zhou, Donghui Xu, Zijing Tan, Mingxi Zhang, Naiwang Guo, Yingjie Tian |
| 2018 | DASFAA | Repairing Data Violations with Order Dependencies. | Yu Qiu, Zijing Tan, Kejia Yang, Weidong Yang, Xiangdong Zhou, Naiwang Guo |
| 2018 | DASFAA | Deep Sparse Informative Transfer SoftMax for Cross-Domain Image Classification. | Hanfang Yang, Xiangdong Zhou, Lan Lin, Bo Yao, Zijing Tan, Haocheng Tang, Yingjie Tian |
| 2018 | ICARCV | Calibration for Kinematic Parameters of Industrial Robot by a Laser Displacement Sensor. | Yixuan Guo, Bao Song, Xiaoqi Tang, Xiangdong Zhou, Yuanlong Xie, Jian Jin |
| 2018 | IJCAI | Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency. | Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan |
| 2018 | ICPRAM | Exploring BIM Data by Graph-based Unsupervised Learning. | Chaoyi Jin, Minyang Xu, Lan Lin, Xiangdong Zhou |
| 2018 | ICPRAM | Hierarchical Electricity Demand Forecasting by Exploring the Electricity Consumption Patterns. | Yue Pang, Chaoyi Jin, Xiangdong Zhou, Naiwang Guo, Yong Zhang |
| 2018 | ICPRAM | Electricity Consumption Model Analysis based on Sparse Principal Components. | Bo Yao, Yiming Xu, Yue Pang, Chaoyi Jin, Zijing Tan, Xiangdong Zhou, Yun Su |
| 2017 | CIBCB | A multi-stage approach to detect gene-gene interactions associated with multiple correlated phenotypes. | Xiangdong Zhou, Keith C. C. Chan, Danhong Zhu |
| 2017 | ICIP | Semi-supervised domain adaptation via convolutional neural network. | Pengcheng Liu, Cheng Cheng, Youji Feng, Xiaohu Shao, Xiangdong Zhou |
| 2017 | ICIP | Hierarchical bilinear network for high performance face detection. | Jiang-Jing Lv, Xiaohu Shao, Junliang Xing, Pengcheng Liu, Xiangdong Zhou, Xi Zhou |
| 2017 | ICPRAM | Opinion Retrieval from Product Review by Exploiting Review Helpfulness. | Jintao Du, Huafei Zheng, Wen Chan, Xiangdong Zhou |
| 2016 | CIBCB | An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy. | Xiangdong Zhou, Keith C. C. Chan |
| 2015 | BIBE | A new information-theoretic approach to detect gene-gene interactions in case-control studies. | Xiangdong Zhou, Keith C. C. Chan |
| 2015 | ICVS | An Informative Logistic Regression for Cross-Domain Image Classification. | Guangtang Zhu, Hanfang Yang, Lan Lin, Guichun Zhou, Xiangdong Zhou |
| 2014 | CIKM | Term Selection and Result Reranking for Question Retrieval by Exploiting Hierarchical Classification. | Wen Chan, Jintao Du, Weidong Yang, Jinhui Tang, Xiangdong Zhou |
| 2014 | ICPR | A Product Aspects Identification Method by Using Translation-Based Language Model. | Jintao Du, Wen Chan, Xiangdong Zhou |
| 2013 | CIKM | Community question topic categorization via hierarchical kernelized classification. | Wen Chan, Weidong Yang, Jinhui Tang, Jintao Du, Xiangdong Zhou, Wei Wang |
| 2012 | ACL | Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization. | Wen Chan, Xiangdong Zhou, Wei Wang, Tat-Seng Chua |
| 2012 | ECCV | Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling. | Chuanjun Ji, Xiangdong Zhou, Lan Lin, Weidong Yang |
| 2011 | MMM | Generating Representative Views of Landmarks via Scenic Theme Detection. | Yi-Liang Zhao, Yan-Tao Zheng, Xiangdong Zhou, Tat-Seng Chua |
| 2010 | APWEB | Object Recognition via Adaptive Multi-level Feature Integration. | Mei Wang, Yanling Wu, Guangda Li, Xiangdong Zhou |
| 2010 | CVPR | Semantic context modeling with maximal margin Conditional Random Fields for automatic image annotation. | Yu Xiang, Xiangdong Zhou, Zuotao Liu, Tat-Seng Chua, Chong-Wah Ngo |
| 2009 | CVPR | A revisit of Generative Model for Automatic Image Annotation using Markov Random Fields. | Yu Xiang, Xiangdong Zhou, Tat-Seng Chua, Chong-Wah Ngo |
| 2009 | MMM | Adaptive Model for Integrating Different Types of Associated Texts for Automated Annotation of Web Images. | Hongtao Xu, Xiangdong Zhou, Lan Lin, Mei Wang, Tat-Seng Chua |
| 2008 | APWEB | Web Image Annotation Based on Automatically Obtained Noisy Training Set. | Mei Wang, Xiangdong Zhou, Hongtao Xu |
| 2008 | ICASSP | Using local discriminant topic to improve generative model based image annotation. | Mei Wang, Lan Lin, Xiangdong Zhou |
| 2008 | ICDE | PictureBook: A Text-and-Image Summary System for Web Search Result. | Mei Wang, Hongtao Xu, Guoyu Hao, Xiangdong Zhou, Wei Wang, Qi Zhang, Baile Shi |
| 2008 | SIGIR | WISA: a novel web image semantic analysis system. | Hongtao Xu, Xiangdong Zhou, Lan Lin |
| 2006 | VLDB | Using High Dimensional Indexes to Support Relevance Feedback Based Interactive Images Retrival. | Junqi Zhang, Xiangdong Zhou, Wei Wang, Baile Shi, Jian Pei |
| 2005 | ISCAS | An optimized 2.4 GHz CMOS LC-tank VCO with 0.55 %/V frequency pushing and 516 MHz tuning range. | Ram Singh Rana, Xiangdong Zhou, Yong Lian |
| 2005 | IDEAL | Automatic Image Annotation Based on Topic-Based Smoothing. | Xiangdong Zhou, Jianye Ye, Lian Chen, Liang Zhang, Baile Shi |
| 2003 | IDEAL | An Image Retrieval Method Based on Collaborative Filtering. | Xiangdong Zhou, Qi Zhang, Liang Zhang, Li Liu, Baile Shi |