| 2026 | AAAI | S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing. | Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang |
| 2026 | AAAI | UVLM: Benchmarking Video Language Model for Underwater World Understanding. | Xizhe Xue, Yang Zhou, Dawei Yan, Lijie Tao, Junjie Li, Ying Li, Haokui Zhang, Rong Xiao |
| 2025 | AAAI | CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility. | Bojia Zi, Shihao Zhao, Xianbiao Qi, Jianan Wang, Yukai Shi, Qianyu Chen, Bin Liang, Rong Xiao, Kam-Fai Wong, Lei Zhang |
| 2025 | ICLR | BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities. | Shaozhe Hao, Xuantong Liu, Xianbiao Qi, Shihao Zhao, Bojia Zi, Rong Xiao, Kai Han, Kwan-Yee K. Wong |
| 2025 | ICLR | Exploring a Principled Framework for Deep Subspace Clustering. | Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li |
| 2025 | ICLR | Taming Transformer Without Using Learning Rate Warmup. | Xianbiao Qi, Yelin He, Jiaquan Ye, Chun-Guang Li, Bojia Zi, Xili Dai, Qin Zou, Rong Xiao |
| 2025 | ICML | Elucidating the design space of language models for image generation. | Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao |
| 2025 | IJCNN | SaENeRF: Suppressing Artifacts in Event-based Neural Radiance Fields. | Yuanjian Wang, Yufei Deng, Rong Xiao, Jiahao Fan, Chenwei Tang, Deng Xiong, Jiancheng Lv |
| 2025 | KSEM | The REGEN Model, a LLM-Based Integrated Framework of Retrieval and QA Generation from Plain Texts on International Freight Domain. | Guangqing Ouyang, Shusi Yu, Peng Wu, Rong Xiao, Jingbao Luo |
| 2024 | AAAI | Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. | Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan, Rong Xiao, Haihong Tang, Jiajun Ding, Jun Yu |
| 2024 | ACCV | Graph Cut-Guided Maximal Coding Rate Reduction for Learning Image Embedding and Clustering. | Wei He, Zhiyuan Huang, Xianghan Meng, Xianbiao Qi, Rong Xiao, Chun-Guang Li |
| 2024 | ACL | Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding. | Hanling Yi, Feng Lin, Hongbin Li, Peiyang Ning, Xiaotian Yu, Rong Xiao |
| 2024 | IJCAI | One-step Spiking Transformer with a Linear Complexity. | Xiaotian Song, Andy Song, Rong Xiao, Yanan Sun |
| 2023 | ICONIP | Lateral Interactions Spiking Actor Network for Reinforcement Learning. | Xiangyu Chen, Rong Xiao, Qirui Yang, Jiancheng Lv |
| 2023 | ICONIP | Semantic-Pixel Associative Information Improving Loop Closure Detection and Experience Map Building for Efficient Visual Representation. | Yufei Deng, Rong Xiao, Jiaxin Li, Jiancheng Lv |
| 2023 | WWW | Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. | Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang |
| 2022 | ACL | Attention Mechanism with Energy-Friendly Operations. | Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao |
| 2022 | IJCAI | Aspect-based Sentiment Analysis with Opinion Tree Generation. | Xiaoyi Bao, Zhongqing Wang, Xiaotong Jiang, Rong Xiao, Shoushan Li |
| 2022 | SIGIR | User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. | Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang |
| 2022 | SIGIR | Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. | Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao |
| 2021 | EMNLP | Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection. | Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, Guodong Zhou |
| 2021 | WWW | Learning a Product Relevance Model from Click-Through Data in E-Commerce. | Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan |
| 2021 | SIGIR | Path-based Deep Network for Candidate Item Matching in Recommenders. | Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang |
| 2021 | WSDM | Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. | Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng |
| 2020 | CIKM | Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. | Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen |
| 2020 | CIKM | Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. | Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao |
| 2020 | ICONIP | A Supervised Learning Algorithm for Learning Precise Timing of Multispike in Multilayer Spiking Neural Networks. | Rong Xiao, Tianyu Geng |
| 2020 | ICPR | PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks. | Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, Rong Xiao |
| 2020 | KDD | A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. | Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen |
| 2020 | SIGIR | ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. | Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng |
| 2020 | SIGIR | CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. | Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun |
| 2019 | BMVC | High Frequency Residual Learning for Multi-Scale Image Classification. | Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang |
| 2019 | ICDAR | A Novel Joint Character Categorization and Localization Approach for Character-Level Scene Text Recognition. | Xianbiao Qi, Yihao Chen, Rong Xiao, Chun-Guang Li, Qin Zou, Shuguang Cui |
| 2019 | IJCAI | STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks. | Pengjie Gu, Rong Xiao, Gang Pan, Huajin Tang |
| 2019 | IJCAI | Fast and Accurate Classification with a Multi-Spike Learning Algorithm for Spiking Neurons. | Rong Xiao, Qiang Yu, Rui Yan, Huajin Tang |
| 2019 | WSDM | Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. | Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju |
| 2017 | ICMI | Differences of online learning behaviors and eye-movement between students having different personality traits. | Bo Sun, Song Lai, Congcong Xu, Rong Xiao, Yungang Wei, Yongkang Xiao |
| 2017 | ICONIP | An Event-Driven Computational System with Spiking Neurons for Object Recognition. | Yuhao Ma, Rong Xiao, Huajin Tang |
| 2015 | ICDE | News event summarization complemented by micropoints. | Pingping Lin, Rong Xiao, Yan Zhang |
| 2012 | ECCV | Pairwise Rotation Invariant Co-occurrence Local Binary Pattern. | Xianbiao Qi, Rong Xiao, Jun Guo, Lei Zhang |
| 2011 | CVPR | Rank-SIFT: Learning to rank repeatable local interest points. | Bing Li, Rong Xiao, Zhiwei Li, Rui Cai, Bao-Liang Lu, Lei Zhang |
| 2011 | ISSAC | Computing with semi-algebraic sets represented by triangular decomposition. | Changbo Chen, James H. Davenport, Marc Moreno Maza, Bican Xia, Rong Xiao |
| 2011 | WWW | Location relevance classification for travelogue digests. | Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie |
| 2011 | SIGIR | On theme location discovery for travelogue services. | Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie |
| 2010 | ISSAC | Triangular decomposition of semi-algebraic systems. | Changbo Chen, James H. Davenport, John P. May, Marc Moreno Maza, Bican Xia, Rong Xiao |
| 2010 | WWW | Equip tourists with knowledge mined from travelogues. | Qiang Hao, Rui Cai, Changhu Wang, Rong Xiao, Jiang-Ming Yang, Yanwei Pang, Lei Zhang |
| 2009 | ICIG | An Improved Cloud Rendering Method. | Xiaoyan Hu, Bo Sun, Xiaohui Liang, Jun He, Yongkang Xiao, Rong Xiao, Wei Ren |
| 2008 | ECCV | Face Alignment Via Component-Based Discriminative Search. | Lin Liang, Rong Xiao, Fang Wen, Jian Sun |
| 2008 | ECCV | 3D Face Recognition by Local Shape Difference Boosting. | Yueming Wang, Xiaoou Tang, Jianzhuang Liu, Gang Pan, Rong Xiao |
| 2007 | CHI | EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking. | Jingyu Cui, Fang Wen, Rong Xiao, Yuandong Tian, Xiaoou Tang |
| 2007 | CVPR | A Face Annotation Framework with Partial Clustering and Interactive Labeling. | Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoou Tang |
| 2007 | CVPR | Linear Laplacian Discrimination for Feature Extraction. | Deli Zhao, Zhouchen Lin, Rong Xiao, Xiaoou Tang |
| 2007 | ICCV | Dynamic Cascades for Face Detection. | Rong Xiao, Huaiyi Zhu, He Sun, Xiaoou Tang |
| 2006 | ACCV | Perception Based Lighting Balance for Face Detection. | Xiaoyue Jiang, Pei Sun, Rong Xiao, Rongchun Zhao |
| 2006 | CVPR | Joint Boosting Feature Selection for Robust Face Recognition. | Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang |
| 2005 | CAIP | Re-lighting and Compensation for Face Images. | Xiaoyue Jiang, Tuo Zhao, Rong Xiao, Rongchun Zhao |
| 2005 | CSCWD | Research and realization of software testing model based on CSCW. | Wenjian Liang, Xiufen Fu, Zhenkun Li, Rong Xiao, Junfeng Hu |
| 2003 | ICCV | Boosting Chain Learning for Object Detection. | Rong Xiao, Long Zhu, HongJiang Zhang |
| 2001 | ICDAR | Smart Sketchpad - An On-line Graphics Recognition System. | Liu Wenyin, Wenjie Qian, Rong Xiao, Xiangyu Jin |
| 2000 | ICTAI | An approach to incremental SVM learning algorithm. | Rong Xiao, Jicheng Wang, Fuyan Zhang |