| 2026 | ACL | CEDAR: A Chinese Evaluation Dataset for Computational Argumentation. | Tian Lan, Jiang Li, Rong Yan, Feilong Bao, Weihua Wang, Guanglai Gao, Xiangdong Su |
| 2025 | APWEB | CFEO: Causal Feature Extraction and Optimization for Cross-Domain Text Classification. | Yirong Zhang, Yaozhang Han, Rong Yan |
| 2025 | IROS | Online-HMM with Two-Layer Bayesian Method for Operator's Expected Speed Estimation in Teleoperated Gluing Tasks | Wenke Zhou, Zhitao Gao, Chen Chen, Fangyu Peng, Yukui Zhang, Rong Yan, Xiaowei Tang, Yu Wang |
| 2025 | WCNC | Deep Reinforcement Learning Based Spatial Reuse for IEEE 802.11 bn. | Mingjun Du, Rong Yan, Peng Liu, Ziyang Guo, Xinghua Sun |
| 2024 | APWEB | CSGTM: Capsule Semantic Graph-Guided Latent Community Topics Discovery. | Guoqin Yu, Ze Xu, Rong Yan, Lintao Zhang |
| 2024 | COLING | EpLSA: Synergy of Expert-prefix Mixtures and Task-Oriented Latent Space Adaptation for Diverse Generative Reasoning. | Fujun Zhang, Xiangdong Su, Jiang Li, Rong Yan, Guanglai Gao |
| 2024 | CSCWD | EMGCN: Enhancement Graph and Multi-head Attention Graph Convolutional Networks for Aspect-based Sentiment Analysis. | Jinhang Chen, Rong Yan |
| 2024 | ICDAR | Synergistic Diverse Perspective for Topic Evolution Analysis on Weibo. | Tong Zhang, Jianing Zhang, Rong Yan |
| 2024 | KSEM | Causal Relationship Extraction Combined Boundary Detection and Information Interaction. | Honglei Zhang, Rong Yan |
| 2024 | VTC | Deep Reinforcement Learning Based Contention Window Optimization for IEEE 802.11 bn. | Rong Yan, Mingjun Du, Xiao-Ping Zhang, Yuhan Dong |
| 2024 | SEKE | Joint Extraction of Interaction Features and Attention Mechanism Fused with Entity-Relations. | Lisha Su, Rong Yan |
| 2024 | WSDM | Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning. | Rong Yan, Peng Bao, Xiao Zhang, Zhongyi Liu, Hui Liu |
| 2023 | ICONIP | Chinese Medical Intent Recognition Based on Multi-feature Fusion. | Xiliang Zhang, Tong Zhang, Rong Yan |
| 2023 | SEKE | Enhanced BERT with Graph and Topic Information for Short Text Classification (S). | Tong Zhang, Ailing Tang, Rong Yan |
| 2023 | SEKE | Identifying Influential Spreaders in Complex Networks Using Neighborhood Network Structure. | Ziyi Zhang, Rong Yan, Wei Yuan |
| 2022 | ICONIP | Enhancing BERT for Short Text Classification with Latent Information. | Ailing Tang, Yufan Hu, Rong Yan |
| 2022 | IJCNN | Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System. | Kaixuan Chen, Shunyu Liu, Na Yu, Rong Yan, Quan Zhang, Jie Song, Zunlei Feng, Mingli Song |
| 2022 | WWW | A Graph Temporal Information Learning Framework for Popularity Prediction. | Caipiao Yang, Peng Bao, Rong Yan, Jianian Li, Xuanya Li |
| 2022 | SEKE | Increasing Representative Ability for Topic Representation. | Rong Yan, Ailing Tang, Ziyi Zhang |
| 2021 | ICONIP | Causality Extraction Based on Dependency Syntactic and Relative Attention. | Chuan He, Rong Yan |
| 2021 | SEKE | Influence Maximization with Consideration of PageRank Centrality and Propagation Probability. | Qi Chen, Rong Yan |
| 2020 | ICTAI | Dataless Text Classification with Pseudo Topic Representation. | Rong Yan, Qi Chen, Guanglai Gao |
| 2020 | WISE | Topic Analysis by Exploring Headline Information. | Rong Yan, Guanglai Gao |
| 2019 | APWEB | Pseudo Topic Analysis for Boosting Pseudo Relevance Feedback. | Rong Yan, Guanglai Gao |
| 2019 | CVPR | Transferable AutoML by Model Sharing Over Grouped Datasets. | Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu, Yonghua Lin |
| 2019 | ICSOC | CSI2: Cloud Server Idleness Identification by Advanced Machine Learning in Theories and Practice. | Jun Duan, Guangcheng Li, Neeraj Asthana, Sai Zeng, Ivan Dell'Era, Aman Chanana, Chitra Agastya, William Pointer, Rong Yan |
| 2018 | ICONIP | Integrating Topic Information into VAE for Text Semantic Similarity. | Xiangdong Su, Rong Yan, Zheng Gong, Yujiao Fu, Heng Xu |
| 2017 | ICTAI | Pseudo-Based Relevance Analysis for Information Retrieval. | Rong Yan, Guanglai Gao |
| 2011 | ICDM | Retweet Modeling Using Conditional Random Fields. | Huan-Kai Peng, Jiang Zhu, Dongzhen Piao, Rong Yan, Ying Zhang |
| 2011 | ICML | Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction. | Michele Cossalter, Rong Yan, Lu Zheng |
| 2010 | ICDM | Adaptive Multimedia Mining on Distributed Stream Processing Systems. | Deepak S. Turaga, Hyunggon Park, Rong Yan, Olivier Verscheure |
| 2010 | SDM | Generalized and Heuristic-Free Feature Construction for Improved Accuracy. | Wei Fan, Erheng Zhong, Jing Peng, Olivier Verscheure, Kun Zhang, Jiangtao Ren, Rong Yan, Qiang Yang |
| 2009 | ATC | Formalizing Trust Based on Usage Behaviours for Mobile Applications. | Zheng Yan, Rong Yan |
| 2009 | CVPR | Imbalanced RankBoost for efficiently ranking large-scale image/video collections. | Michele Merler, Rong Yan, John R. Smith |
| 2009 | ICASSP | Vectorized deblocking filter for HD H.264 decoding on Cell/B.E. | Huoding Li, Rong Yan, Xing Liu, Yu Yuan, Sheng Xu |
| 2009 | ICDM | Joint Emotion-Topic Modeling for Social Affective Text Mining. | Shenghua Bao, Shengliang Xu, Li Zhang, Rong Yan, Zhong Su, Dingyi Han, Yong Yu |
| 2009 | IJCAI | Transfer Learning Using Task-Level Features with Application to Information Retrieval. | Rong Yan, Jian Zhang |
| 2008 | CIKM | Real-time new event detection for video streams. | Gang Luo, Rong Yan, Philip S. Yu |
| 2008 | CVPR | A learning-based hybrid tagging and browsing approach for efficient manual image annotation. | Rong Yan, Apostol Natsev, Murray Campbell |
| 2008 | ICIP | Multi-concept learning with large-scale multimedia lexicons. | Lexing Xie, Rong Yan, Jun Yang |
| 2007 | CIKM | Query expansion using probabilistic local feedback with application to multimedia retrieval. | Rong Yan, Alexander G. Hauptmann |
| 2007 | ICDM | Adapting SVM Classifiers to Data with Shifted Distributions. | Jun Yang, Rong Yan, Alexander G. Hauptmann |
| 2007 | ICML | On the value of pairwise constraints in classification and consistency. | Jian Zhang, Rong Yan |
| 2007 | KDD | Model-shared subspace boosting for multi-label classification. | Rong Yan, Jelena Tesic, John R. Smith |
| 2006 | SIGIR | Probabilistic latent query analysis for combining multiple retrieval sources. | Rong Yan, Alexander G. Hauptmann |
| 2005 | CVPR | Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos. | Rong Yan, Milind R. Naphade |
| 2005 | ICIP | Co-training non-robust classifiers for video semantic concept detection. | Rong Yan, Milind R. Naphade |
| 2005 | UAI | Mining Associated Text and Images with Dual-Wing Harmoniums. | Eric P. Xing, Rong Yan, Alexander G. Hauptmann |
| 2004 | CVPR | A Discriminative Learning Framework with Pairwise Constraints for Video Object Classification. | Rong Yan, Jian Zhang, Jie Yang, Alexander G. Hauptmann |
| 2003 | ICASSP | On predicting rare classes with SVM ensembles in scene classification. | Rong Yan, Yan Liu, Rong Jin, Alexander G. Hauptmann |
| 2003 | ICCV | Automatically Labeling Video Data Using Multi-class Active Learning. | Rong Yan, Jie Yang, Alexander G. Hauptmann |
| 2003 | ICML | A Faster Iterative Scaling Algorithm for Conditional Exponential Model. | Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann |
| 2002 | FCCM | Mobile Memory: Improving Memory Locality in Very Large Reconfigurable Fabrics. | Rong Yan, Seth Copen Goldstein |
| 2002 | ICIP | Efficient and universal scalable video coding. | Feng Wu, Shipeng Li, Rong Yan, Xiaoyan Sun, Ya-Qin Zhang |
| 2002 | VCIP | Efficient video coding with hybrid spatial and fine-grain SNR scalabilities. | Rong Yan, Feng Wu, Shipeng Li, Ran Tao, Yue Wang |