A Clustering Based Approach to Efficient Image Retrieval. - Ruofei Zhang; Zhongfei Zhang (ICTAI, 2002)

A 3D Modeling Scheme for Cerebral Vasculature from MRA Datasets. - Zhongyuan Qin; Xuanqin Mou; Ruofei Zhang (CBMS, 2003)

Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously. - Ruofei Zhang; Zhongfei (Mark) Zhang (Multimedia Information Retrieval, 2003)

A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying. - Ruofei Zhang; Zhongfei (Mark) Zhang; Jian Yao 003 (Web Intelligence, 2003)

Hidden Semantic Concept Discovery in Region Based Image Retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang (CVPR (2), 2004)

Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang (ECCV (3), 2004)

Exploiting the cognitive synergy between different media modalities in multimodal information retrieval. - Zhongfei Zhang; Ruofei Zhang; Jun Ohya (ICME, 2004)

Semantic repository modeling in image database. - Ruofei Zhang; Zhongfei (Mark) Zhang; Zhongyuan Qin (ICME, 2004)

Region Based a-Semantics Graph Driven Image Retrieval. - Ruofei Zhang; Sandeep Khanzode; Zhongfei (Mark) Zhang (ICPR (4), 2004)

A Bayesian Framework for Automatic Concept Discovery in Image Collections. - Ruofei Zhang; Zhongfei (Mark) Zhang (ICPR (2), 2004)

A data mining approach to modeling relationships among categories in image collection. - Ruofei Zhang; Zhongfei (Mark) Zhang; Sandeep Khanzode (KDD, 2004)

A Robust Color Object Analysis Approach to Efficient Image Retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang (EURASIP J. Adv. Signal Process., 2004)

A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva. - Ruofei Zhang; Zhongfei (Mark) Zhang; Mingjing Li; Wei-Ying Ma; HongJiang Zhang (ICCV, 2005)

Image Database Classification based on Concept Vector Model. - Ruofei Zhang; Zhongfei Zhang (ICME, 2005)

FAST: Toward more effective and efficient image retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang (Multim. Syst., 2005)

Joint categorization of queries and clips for web-based video search. - Ruofei Zhang; Ramesh Sarukkai; Jyh-Herng Chow; Wei Dai; Zhongfei Zhang (Multimedia Information Retrieval, 2006)

BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang (Image Vis. Comput., 2006)

A probabilistic semantic model for image annotation and multi-modal image retrieval. - Ruofei Zhang; Zhongfei (Mark) Zhang; Mingjing Li; Wei-Ying Ma; HongJiang Zhang (Multim. Syst., 2006)

Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. - Ruofei Zhang; Zhongfei Zhang (IEEE Trans. Image Process., 2007)

Maximum Margin Active Learning for Sequence Labeling with Different Length. - Haibin Cheng; Ruofei Zhang; Yefei Peng; Jianchang Mao; Pang-Ning Tan (ICDM, 2008)

Towards developing a unified multimodal image retrieval framework. - Zhongfei Zhang; Zhen Guo; Ruofei Zhang (ICME, 2009)

Learning to Rank by Optimizing NDCG Measure. - Hamed Valizadegan; Rong Jin 001; Ruofei Zhang; Jianchang Mao (NIPS, 2009)

Exploitation and exploration in a performance based contextual advertising system. - Wei Li 010; Xuerui Wang; Ruofei Zhang; Ying Cui; Jianchang Mao; Rong Jin 001 (KDD, 2010)

Multimedia Data Mining. - Zhongfei (Mark) Zhang; Ruofei Zhang (Data Mining and Knowledge Discovery Handbook, 2010)

Bid landscape forecasting in online ad exchange marketplace. - Ying Cui; Ruofei Zhang; Wei Li 010; Jianchang Mao (KDD, 2011)

Internet multimedia advertising: techniques and technologies. - Tao Mei 001; Ruofei Zhang; Xian-Sheng Hua 001 (ACM Multimedia, 2011)

A stochastic learning-to-rank algorithm and its application to contextual advertising. - Maryam Karimzadehgan; Wei Li 010; Ruofei Zhang; Jianchang Mao (WWW, 2011)

Dynamic ad layout revenue optimization for display advertising. - Haibin Cheng; Eren Manavoglu; Ying Cui; Ruofei Zhang; Jianchang Mao (AdKDD@KDD, 2012)

Visual appearance of display ads and its effect on click through rate. - Javad Azimi; Ruofei Zhang; Yang Zhou 033; Vidhya Navalpakkam; Jianchang Mao; Xiaoli Z. Fern (CIKM, 2012)

Multiview hierarchical bayesian regression model andapplication to online advertising. - Tianbing Xu; Ruofei Zhang; Zhen Guo (CIKM, 2012)

Multimedia features for click prediction of new ads in display advertising. - Haibin Cheng; Roelof van Zwol; Javad Azimi; Eren Manavoglu; Ruofei Zhang; Yang Zhou 033; Vidhya Navalpakkam (KDD, 2012)

The impact of visual appearance on user response in online display advertising. - Javad Azimi; Ruofei Zhang; Yang Zhou 033; Vidhya Navalpakkam; Jianchang Mao; Xiaoli Z. Fern (WWW (Companion Volume), 2012)

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. - Ali Jalali; Javad Azimi; Xiaoli Z. Fern; Ruofei Zhang (ECML/PKDD (1), 2013)

Large-Scale Multi-Label Learning with Incomplete Label Assignments. - Xiangnan Kong; Zhaoming Wu; Li-Jia Li 001; Ruofei Zhang; Philip S. Yu; Hang Wu; Wei Fan 001 (SDM, 2014)

Automatic keywords generation for contextual advertising. - Pengqi Liu; Javad Azimi; Ruofei Zhang (WWW (Companion Volume), 2014)

Ads Keyword Rewriting Using Search Engine Results. - Javad Azimi; Adnan Alam; Ruofei Zhang (WWW (Companion Volume), 2015)

Contextual Query Intent Extraction for Paid Search Selection. - Pengqi Liu; Javad Azimi; Ruofei Zhang (WWW (Companion Volume), 2015)

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. - Shuangfei Zhai; Keng-hao Chang; Ruofei Zhang; Zhongfei (Mark) Zhang (KDD, 2016)

Attention Based Recurrent Neural Networks for Online Advertising. - Shuangfei Zhai; Keng-hao Chang; Ruofei Zhang; Zhongfei Zhang (WWW (Companion Volume), 2016)

DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. - Zi Yin; Keng-hao Chang; Ruofei Zhang (KDD, 2017)

Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. - Mu-Chu Lee; Bin Gao 001; Ruofei Zhang (KDD, 2018)

RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. - Ting Ye; Hucheng Zhou; Will Y. Zou; Bin Gao 001; Ruofei Zhang (KDD, 2018)

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. - J. Weston Hughes; Keng-hao Chang; Ruofei Zhang (KDD, 2019)

Personalized word learning for university students: a profile-based method for e-learning systems. - Haoran Xie 001; Di Zou; Ruofei Zhang; Minhong Wang 001; Reggie Kwan (J. Comput. High. Educ., 2019)

AutoADR: Automatic Model Design for Ad Relevance. - Yiren Chen; Yaming Yang 001; Hong Sun; Yujing Wang; Yu Xu; Wei Shen; Rong Zhou; Yunhai Tong; Jing Bai 010; Ruofei Zhang (CIKM, 2020)

TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. - Wenhao Lu; Jian Jiao 007; Ruofei Zhang (CIKM, 2020)

An Enhanced Knowledge Injection Model for Commonsense Generation. - Zhihao Fan; Yeyun Gong; Zhongyu Wei; Siyuan Wang; Yameng Huang; Jian Jiao 007; Xuanjing Huang 001; Nan Duan; Ruofei Zhang (COLING, 2020)

Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. - Qun Li 003; Changbo Hu; Keng-hao Chang; Ruofei Zhang (DSAA, 2020)

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Ruofei Zhang; et al. (EMNLP (1), 2020)

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. - Weizhen Qi; Yu Yan; Yeyun Gong; Dayiheng Liu; Nan Duan; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001 (EMNLP (Findings), 2020)

A Multimodal Fusion Framework for Brand Recognition from Product Image and Context. - Changbo Hu; Qun Li 003; Zhen Zhang; Keng-hao Chang; Ruofei Zhang (ICME Workshops, 2020)

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. - Weizhen Qi; Yeyun Gong; Yu Yan; Jian Jiao 007; Bo Shao; Ruofei Zhang; Houqiang Li; Nan Duan; Ming Zhou 001 (NLPCC (2), 2020)

TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. - Wenhao Lu; Jian Jiao 007; Ruofei Zhang (CoRR, 2020)

A comprehensive framework for designing and evaluating vocabulary learning apps from multiple perspectives. - Yuge Tu; Di Zou; Ruofei Zhang (Int. J. Mob. Learn. Organisation, 2020)

Influential factors of working adults' perceptions of mobile-assisted vocabulary learning with multimedia annotations. - Ruofei Zhang; Di Zou (Int. J. Mob. Learn. Organisation, 2020)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. - Weizhen Qi; Yeyun Gong; Yu Yan; Can Xu; Bolun Yao; Bartuer Zhou; Biao Cheng; Daxin Jiang; Jiusheng Chen; Ruofei Zhang; Houqiang Li; Nan Duan (ACL (demo), 2021)

FastSeq: Make Sequence Generation Faster. - Yu Yan; Fei Hu; Jiusheng Chen; Nikhil Bhendawade; Ting Ye; Yeyun Gong; Nan Duan; Desheng Cui; Bingyu Chi; Ruofei Zhang (ACL (demo), 2021)

Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. - Tianchuan Du; Keng-hao Chang; Paul Liu 001; Ruofei Zhang (IEEE BigData, 2021)

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (EMNLP (Findings), 2021)

HittER: Hierarchical Transformers for Knowledge Graph Embeddings. - Sanxing Chen; Xiaodong Liu 003; Jianfeng Gao 001; Jian Jiao 007; Ruofei Zhang; Yangfeng Ji (EMNLP (1), 2021)

Mt-Gan: A Training Framework To Enhance Image Classification Task With Image Translation. - Qun Li 003; Changbo Hu; Keng-hao Chang; Ruofei Zhang (ICME Workshops, 2021)

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. - Weizhen Qi; Yeyun Gong; Jian Jiao 007; Yu Yan; Weizhu Chen; Dayiheng Liu; Kewen Tang; Houqiang Li; Jiusheng Chen; Ruofei Zhang; Ming Zhou 001; Nan Duan (ICML, 2021)

EL-Attention: Memory Efficient Lossless Attention for Generation. - Yu Yan; Jiusheng Chen; Weizhen Qi; Nikhil Bhendawade; Yeyun Gong; Nan Duan; Ruofei Zhang (ICML, 2021)

Mask Attention Networks: Rethinking and Strengthen Transformer. - Zhihao Fan; Yeyun Gong; Dayiheng Liu; Zhongyu Wei; Siyuan Wang; Jian Jiao 007; Nan Duan; Ruofei Zhang; Xuanjing Huang 001 (NAACL-HLT, 2021)

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. - Deepak Saini; Arnav Kumar Jain; Kushal Dave 001; Jian Jiao 007; Amit Singh 003; Ruofei Zhang; Manik Varma (WWW, 2021)

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. - Jason Zhu; Yanling Cui; Yuming Liu; Hao Sun 015; Xue Li; Markus Pelger; Tianqi Yang; Liangjie Zhang; Ruofei Zhang; Huasha Zhao (WWW, 2021)

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. - Jason Zhu; Yanling Cui; Yuming Liu; Hao Sun 015; Xue Li; Markus Pelger; Liangjie Zhang; Tianqi Yan; Ruofei Zhang; Huasha Zhao (CoRR, 2021)

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. - Haonan Li 002; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (CoRR, 2021)

Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling. - Xieling Chen; Ruofei Zhang; Di Zou; Gary Cheng 001; Haoran Xie 001; Fu Lee Wang (BESC, 2022)

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. - Li Lyna Zhang; Youkow Homma; Yujing Wang; Min Wu; Mao Yang 004; Ruofei Zhang; Ting Cao; Wei Shen (CIKM, 2022)

Taming Sparsely Activated Transformer with Stochastic Experts. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Young Jin Kim 001; Hany Hassan; Ruofei Zhang; Jianfeng Gao 001; Tuo Zhao (ICLR, 2022)

AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search. - Yongjie Zhu; Chunhui Han; Yuefeng Zhan; Bochen Pang; Zhaoju Li; Hao Sun 015; Si Li 001; Boxin Shi; Nan Duan; Weiwei Deng; Ruofei Zhang; Liangjie Zhang; et al. (ACM Multimedia, 2022)

CULG: Commercial Universal Language Generation. - Haonan Li 002; Yameng Huang; Yeyun Gong; Jian Jiao 007; Ruofei Zhang; Timothy Baldwin; Nan Duan (NAACL-HLT (Industry Papers), 2022)

Enhancing Self-Attention with Knowledge-Assisted Attention Maps. - Jiangang Bai; Yujing Wang; Hong Sun; Ruonan Wu; Tianmeng Yang; Pengfei Tang; Defu Cao; Mingliang Zhang 004; Yunhai Tong; Yaming Yang 001; Jing Bai 010; Ruofei Zhang; et al. (NAACL-HLT, 2022)

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. - Weizhen Qi; Yeyun Gong; Yelong Shen; Jian Jiao 007; Yu Yan; Houqiang Li; Ruofei Zhang; Weizhu Chen; Nan Duan (CoRR, 2022)

Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges. - Ruofei Zhang; Di Zou; Gary Cheng 001; Haoran Xie 001 (Educ. Inf. Technol., 2022)

Supportiveness of language MOOCs for self-regulated learning: a review of commercial language MOOCs on the market. - Ruofei Zhang; Di Zou; Gary Cheng 001; Haoran Xie 001; Fu Lee Wang (Int. J. Mob. Learn. Organisation, 2022)

SegFormer: A Topic Segmentation Model with Controllable Range of Attention. - Haitao Bai; Pinghui Wang; Ruofei Zhang; Zhou Su (AAAI, 2023)

Healing Unsafe Dialogue Responses with Weak Supervision Signals. - Zi Liang; Pinghui Wang; Ruofei Zhang; Shuo Zhang; Xiaofan Ye; Yi Huang; Junlan Feng (CoRR, 2023)

MERGE: Fast Private Text Generation. - Zi Liang; Pinghui Wang; Ruofei Zhang; Nuo Xu; Shuo Zhang (CoRR, 2023)

A review of research on technology-enhanced peer feedback for second language writing based on the activity theory framework. - Ruofei Zhang; Di Zou (Educ. Inf. Technol., 2023)

MERGE: Fast Private Text Generation. - Zi Liang; Pinghui Wang; Ruofei Zhang; Nuo Xu; Shuo Zhang; Lifeng Xing; Haitao Bai; Ziyang Zhou 003 (AAAI, 2024)

PAIR: Pre-denosing Augmented Image Retrieval Model for Defending Adversarial Patches. - Ziyang Zhou 003; Pinghui Wang; Zi Liang; Ruofei Zhang; Haitao Bai (ACM Multimedia, 2024)

Technology-enhanced language learning with null and negative results since 2000: A systematic review based on the activity theory. - Ruofei Zhang; Di Zou; Gary Cheng 001 (Educ. Inf. Technol., 2024)

A review of chatbot-assisted learning: pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions. - Ruofei Zhang; Di Zou; Gary Cheng 001 (Interact. Learn. Environ., 2024)

Chatbot-based learning of logical fallacies in EFL writing: perceived effectiveness in improving target knowledge and learner motivation. - Ruofei Zhang; Di Zou; Gary Cheng 001 (Interact. Learn. Environ., 2024)

Exploring Intrinsic Alignments Within Text Corpus. - Zi Liang; Pinghui Wang; Ruofei Zhang; Haibo Hu 001; Shuo Zhang; Qingqing Ye 001; Nuo Xu; Yaxin Xiao; Chen Zhang; Lizhen Cui (AAAI, 2025)

Cross-Modal 3D Representation with Multi-View Images and Point Clouds. - Ziyang Zhou 003; Pinghui Wang; Zi Liang; Haitao Bai; Ruofei Zhang (CVPR, 2025)

Flow in ChatGPT-based logic learning and its influences on logic and self-efficacy in English argumentative writing. - Ruofei Zhang; Di Zou; Gary Cheng 001; Haoran Xie 001 (Comput. Hum. Behav., 2025)

Seed LiveInterpret 2.0: End-to-end Simultaneous Speech-to-speech Translation with Your Voice. - Shanbo Cheng; Yu Bao; Zhichao Huang; Yu Lu; Ningxin Peng; Lu Xu; Runsheng Yu; Rong Cao; Yujiao Du; Ting Han; Yuxiang Hu; Zeyang Li; et al. (CoRR, 2025)