Ruofei Zhang

According to our database, Ruofei Zhang authored at least 86 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Haoran Xie

Comput. Hum. Behav., 2025

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

Educ. Inf. Technol., March, 2024

PAIR: Pre-denosing Augmented Image Retrieval Model for Defending Adversarial Patches.

Ziyang Zhou, Pinghui Wang, Zi Liang, Ruofei Zhang, Haitao Bai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MERGE: Fast Private Text Generation.

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., June, 2023

MERGE: Fast Private Text Generation.

Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang

CoRR, 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

SegFormer: A Topic Segmentation Model with Controllable Range of Attention.

Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Supportiveness of language MOOCs for self-regulated learning: a review of commercial language MOOCs on the market.

Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang

Int. J. Mob. Learn. Organisation, 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, Haoran Xie

Educ. Inf. Technol., 2022

A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation.

Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan

CoRR, 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, Yunhai Tong, Yaming Yang, Jing Bai, Ruofei Zhang, Hao Sun, Wei Shen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

CULG: Commercial Universal Language Generation.

Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search.

Yongjie Zhu, Chunhui Han, Yuefeng Zhan, Bochen Pang, Zhaoju Li, Hao Sun, Si Li, Boxin Shi, Nan Duan, Weiwei Deng, Ruofei Zhang, Liangjie Zhang, Qi Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Taming Sparsely Activated Transformer with Stochastic Experts.

Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao

Proceedings of the Tenth International Conference on Learning Representations, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.

Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling.

Xieling Chen, Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang

Proceedings of the 9th International Conference on Behavioural and Social Computing, 2022

2021

KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.

Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, Huasha Zhao

CoRR, 2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search.

Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao

Proceedings of the WWW '21: The Web Conference 2021, 2021

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification.

Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma

Proceedings of the WWW '21: The Web Conference 2021, 2021

Mask Attention Networks: Rethinking and Strengthen Transformer.

Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

EL-Attention: Memory Efficient Lossless Attention for Generation.

Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining.

Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan

Proceedings of the 38th International Conference on Machine Learning, 2021

Mt-Gan: A Training Framework To Enhance Image Classification Task With Image Translation.

Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

HittER: Hierarchical Transformers for Knowledge Graph Embeddings.

Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning.

Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Improving Taxonomy-based Categorization with Categorical Graph Neural Networks.

Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 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

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GLGE: A New General Language Generation Evaluation Benchmark.

Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

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

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

TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

CoRR, 2020

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine.

Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Multimodal Fusion Framework for Brand Recognition from Product Image and Context.

Changbo Hu, Qun Li, Zhen Zhang, Keng-hao Chang, Ruofei Zhang

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique.

Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

An Enhanced Knowledge Injection Model for Commonsense Generation.

Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval.

Wenhao Lu, Jian Jiao, Ruofei Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

AutoADR: Automatic Model Design for Ad Relevance.

Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Personalized word learning for university students: a profile-based method for e-learning systems.

Haoran Xie, Di Zou, Ruofei Zhang, Minhong Wang, Reggie Kwan

J. Comput. High. Educ., 2019

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning.

J. Weston Hughes, Keng-hao Chang, Ruofei Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization.

Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Rare Query Expansion Through Generative Adversarial Networks in Search Advertising.

Mu-Chu Lee, Bin Gao, Ruofei Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017

DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks.

Zi Yin, Keng-hao Chang, Ruofei Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Attention Based Recurrent Neural Networks for Online Advertising.

Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang

Proceedings of the 25th International Conference on World Wide Web, 2016

DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks.

Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Contextual Query Intent Extraction for Paid Search Selection.

Pengqi Liu, Javad Azimi, Ruofei Zhang

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Ads Keyword Rewriting Using Search Engine Results.

Javad Azimi, Adnan Alam, Ruofei Zhang

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

2014

Automatic keywords generation for contextual advertising.

Pengqi Liu, Javad Azimi, Ruofei Zhang

Proceedings of the 23rd International World Wide Web Conference, 2014

Large-Scale Multi-Label Learning with Incomplete Label Assignments.

Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization.

Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012

The impact of visual appearance on user response in online display advertising.

Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern

Proceedings of the 21st World Wide Web Conference, 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, Vidhya Navalpakkam

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multiview hierarchical bayesian regression model andapplication to online advertising.

Tianbing Xu, Ruofei Zhang, Zhen Guo

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Visual appearance of display ads and its effect on click through rate.

Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Dynamic ad layout revenue optimization for display advertising.

Haibin Cheng, Eren Manavoglu, Ying Cui, Ruofei Zhang, Jianchang Mao

Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy, 2012

2011

A stochastic learning-to-rank algorithm and its application to contextual advertising.

Maryam Karimzadehgan, Wei Li, Ruofei Zhang, Jianchang Mao

Proceedings of the 20th International Conference on World Wide Web, 2011

Internet multimedia advertising: techniques and technologies.

Tao Mei, Ruofei Zhang, Xian-Sheng Hua

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Bid landscape forecasting in online ad exchange marketplace.

Ying Cui, Ruofei Zhang, Wei Li, Jianchang Mao

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

Multimedia Data Mining.

Zhongfei (Mark) Zhang, Ruofei Zhang

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Exploitation and exploration in a performance based contextual advertising system.

Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Learning to Rank by Optimizing NDCG Measure.

Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Towards developing a unified multimodal image retrieval framework.

Zhongfei Zhang, Zhen Guo, Ruofei Zhang

Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

2008

Maximum Margin Active Learning for Sequence Labeling with Different Length.

Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan

Proceedings of the Advances in Data Mining. Medical Applications, 2008

2007

Effective Image Retrieval Based on Hidden Concept Discovery in Image Database.

Ruofei Zhang, Zhongfei Zhang

IEEE Trans. Image Process., 2007

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

BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval.

Ruofei Zhang, Zhongfei (Mark) Zhang

Image Vis. Comput., 2006

Joint categorization of queries and clips for web-based video search.

Ruofei Zhang, Ramesh Sarukkai, Jyh-Herng Chow, Wei Dai, Zhongfei Zhang

Proceedings of the 8th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2006

2005

FAST: Toward more effective and efficient image retrieval.

Ruofei Zhang, Zhongfei (Mark) Zhang

Multim. Syst., 2005

Image Database Classification based on Concept Vector Model.

Ruofei Zhang, Zhongfei Zhang

Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva.

Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

A Robust Color Object Analysis Approach to Efficient Image Retrieval.

Ruofei Zhang, Zhongfei (Mark) Zhang

EURASIP J. Adv. Signal Process., 2004

A data mining approach to modeling relationships among categories in image collection.

Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

A Bayesian Framework for Automatic Concept Discovery in Image Collections.

Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Region Based a-Semantics Graph Driven Image Retrieval.

Ruofei Zhang, Sandeep Khanzode, Zhongfei (Mark) Zhang

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semantic repository modeling in image database.

Ruofei Zhang, Zhongfei (Mark) Zhang, Zhongyuan Qin

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Exploiting the cognitive synergy between different media modalities in multimodal information retrieval.

Zhongfei Zhang, Ruofei Zhang, Jun Ohya

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval.

Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the Computer Vision, 2004

Hidden Semantic Concept Discovery in Region Based Image Retrieval.

Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003

A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying.

Ruofei Zhang, Zhongfei (Mark) Zhang, Jian Yao

Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously.

Ruofei Zhang, Zhongfei (Mark) Zhang

Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

A 3D Modeling Scheme for Cerebral Vasculature from MRA Datasets.

Zhongyuan Qin, Xuanqin Mou, Ruofei Zhang

Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

2002

A Clustering Based Approach to Efficient Image Retrieval.

Ruofei Zhang, Zhongfei Zhang

Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002