Ruofei Zhang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 60

Top Topics

Sponsored Search

Activity Theory

Top Venues

WWW (Companion Volume)

Int. J. Mob. Learn. Organisation

Publications

Ruofei Zhang, Di Zou, Gary Cheng
Technology-enhanced language learning with null and negative results since 2000: A systematic review based on the activity theory. Educ. Inf. Technol. 29 (4) (2024)
Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou
MERGE: Fast Private Text Generation. AAAI (2024)
Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang
MERGE: Fast Private Text Generation. CoRR (2023)
Ruofei Zhang, Di Zou
A review of research on technology-enhanced peer feedback for second language writing based on the activity theory framework. Educ. Inf. Technol. 28 (6) (2023)
Zi Liang, Pinghui Wang, Ruofei Zhang, Shuo Zhang, Xiaofan Ye, Yi Huang, Junlan Feng
Healing Unsafe Dialogue Responses with Weak Supervision Signals. CoRR (2023)
Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su
SegFormer: A Topic Segmentation Model with Controllable Range of Attention. AAAI (2023)
Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang
Supportiveness of language MOOCs for self-regulated learning: a review of commercial language MOOCs on the market. Int. J. Mob. Learn. Organisation 16 (3) (2022)
Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie
Implementing technology-enhanced collaborative writing in second and foreign language learning: A review of practices, technology and challenges. Educ. Inf. Technol. 27 (6) (2022)
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
AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search. ACM Multimedia (2022)
Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM (2022)
Xieling Chen, Ruofei Zhang, Di Zou, Gary Cheng, Haoran Xie, Fu Lee Wang
Online learning research in the era of COVID-19: Bibliometric analysis and topic modeling. BESC (2022)
Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
CULG: Commercial Universal Language Generation. NAACL-HLT (Industry Papers) (2022)
Weizhen Qi, Yeyun Gong, Yelong Shen, Jian Jiao, Yu Yan, Houqiang Li, Ruofei Zhang, Weizhu Chen, Nan Duan
A Self-Paced Mixed Distillation Method for Non-Autoregressive Generation. CoRR (2022)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao
Taming Sparsely Activated Transformer with Stochastic Experts. ICLR (2022)
Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CoRR (2022)
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
Enhancing Self-Attention with Knowledge-Assisted Attention Maps. NAACL-HLT (2022)
Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. EMNLP (Findings) (2021)
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
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) (2021)
Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Weizhu Chen, Dayiheng Liu, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. ICML (2021)
Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, Huasha Zhao
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. CoRR (2021)
Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
Mask Attention Networks: Rethinking and Strengthen Transformer. CoRR (2021)
Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. IEEE BigData (2021)
Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang
EL-Attention: Memory Efficient Lossless Attention for Generation. CoRR (2021)
Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang
EL-Attention: Memory Efficient Lossless Attention for Generation. ICML (2021)
Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. CoRR (2021)
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) (2021)
Yu Yan, Fei Hu, Jiusheng Chen, Nikhil Bhendawade, Ting Ye, Yeyun Gong, Nan Duan, Desheng Cui, Bingyu Chi, Ruofei Zhang
FastSeq: Make Sequence Generation Faster. ACL (demo) (2021)
Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang
Mt-Gan: A Training Framework To Enhance Image Classification Task With Image Translation. ICME Workshops (2021)
Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Tianqi Yang, Liangjie Zhang, Ruofei Zhang, Huasha Zhao
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. WWW (2021)
Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. ACL (demo) (2021)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
Taming Sparsely Activated Transformer with Stochastic Experts. CoRR (2021)
Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
Mask Attention Networks: Rethinking and Strengthen Transformer. NAACL-HLT (2021)
Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW (2021)
Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. CoRR (2021)
Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
AutoADR: Automatic Model Design for Ad Relevance. CIKM (2020)
Wenhao Lu, Jian Jiao, Ruofei Zhang
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. CoRR (2020)
Changbo Hu, Qun Li, Zhen Zhang, Keng-hao Chang, Ruofei Zhang
A Multimodal Fusion Framework for Brand Recognition from Product Image and Context. ICME Workshops (2020)
Yuge Tu, Di Zou, Ruofei Zhang
A comprehensive framework for designing and evaluating vocabulary learning apps from multiple perspectives. Int. J. Mob. Learn. Organisation 14 (3) (2020)
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
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) (2020)
Wenhao Lu, Jian Jiao, Ruofei Zhang
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. CIKM (2020)
Ruofei Zhang, Di Zou
Influential factors of working adults' perceptions of mobile-assisted vocabulary learning with multimedia annotations. Int. J. Mob. Learn. Organisation 14 (4) (2020)
Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
AutoADR: Automatic Model Design for Ad Relevance. CoRR (2020)
Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang
Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. DSAA (2020)
Yu Yan, Weizhen Qi, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. CoRR (2020)
Weizhen Qi, Yu Yan, Yeyun Gong, Dayiheng Liu, Nan Duan, Jiusheng Chen, Ruofei Zhang, Ming Zhou
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. EMNLP (Findings) (2020)
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
GLGE: A New General Language Generation Evaluation Benchmark. CoRR (2020)
Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
An Enhanced Knowledge Injection Model for Commonsense Generation. COLING (2020)
Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. NLPCC (2) (2020)
Weizhen Qi, Yeyun Gong, Yu Yan, Jian Jiao, Bo Shao, Ruofei Zhang, Houqiang Li, Nan Duan, Ming Zhou
ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine. CoRR (2020)
Weizhen Qi, Yeyun Gong, Jian Jiao, Yu Yan, Dayiheng Liu, Weizhu Chen, Kewen Tang, Houqiang Li, Jiusheng Chen, Ruofei Zhang, Ming Zhou, Nan Duan
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining. CoRR (2020)
Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
An Enhanced Knowledge Injection Model for Commonsense Generation. CoRR (2020)
Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR (2020)
Haoran Xie, Di Zou, Ruofei Zhang, Minhong Wang, Reggie Kwan
Personalized word learning for university students: a profile-based method for e-learning systems. J. Comput. High. Educ. 31 (2) (2019)
J. Weston Hughes, Keng-hao Chang, Ruofei Zhang
Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. KDD (2019)
Mu-Chu Lee, Bin Gao, Ruofei Zhang
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. KDD (2018)
Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang
RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. KDD (2018)
Zi Yin, Keng-hao Chang, Ruofei Zhang
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. CoRR (2017)
Zi Yin, Keng-hao Chang, Ruofei Zhang
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. KDD (2017)
Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. KDD (2016)
Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang
Attention Based Recurrent Neural Networks for Online Advertising. WWW (Companion Volume) (2016)
Pengqi Liu, Javad Azimi, Ruofei Zhang
Contextual Query Intent Extraction for Paid Search Selection. WWW (Companion Volume) (2015)
Javad Azimi, Adnan Alam, Ruofei Zhang
Ads Keyword Rewriting Using Search Engine Results. WWW (Companion Volume) (2015)
Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
Large-Scale Multi-Label Learning with Incomplete Label Assignments. CoRR (2014)
Pengqi Liu, Javad Azimi, Ruofei Zhang
Automatic keywords generation for contextual advertising. WWW (Companion Volume) (2014)
Xiangnan Kong, Zhaoming Wu, Li-Jia Li, Ruofei Zhang, Philip S. Yu, Hang Wu, Wei Fan
Large-Scale Multi-Label Learning with Incomplete Label Assignments. SDM (2014)
Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. ECML/PKDD (1) (2013)
Haibin Cheng, Eren Manavoglu, Ying Cui, Ruofei Zhang, Jianchang Mao
Dynamic ad layout revenue optimization for display advertising. AdKDD@KDD (2012)
Haibin Cheng, Roelof van Zwol, Javad Azimi, Eren Manavoglu, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam
Multimedia features for click prediction of new ads in display advertising. KDD (2012)
Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern
The Impact of Visual Appearance on User Response in Online Display Advertising CoRR (2012)
Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern
Visual appearance of display ads and its effect on click through rate. CIKM (2012)
Tianbing Xu, Ruofei Zhang, Zhen Guo
Multiview hierarchical bayesian regression model andapplication to online advertising. CIKM (2012)
Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern
The impact of visual appearance on user response in online display advertising. WWW (Companion Volume) (2012)
Ying Cui, Ruofei Zhang, Wei Li, Jianchang Mao
Bid landscape forecasting in online ad exchange marketplace. KDD (2011)
Maryam Karimzadehgan, Wei Li, Ruofei Zhang, Jianchang Mao
A stochastic learning-to-rank algorithm and its application to contextual advertising. WWW (2011)
Tao Mei, Ruofei Zhang, Xian-Sheng Hua
Internet multimedia advertising: techniques and technologies. ACM Multimedia (2011)
Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin
Exploitation and exploration in a performance based contextual advertising system. KDD (2010)
Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao
Learning to Rank by Optimizing NDCG Measure. NIPS (2009)
Zhongfei Zhang, Zhen Guo, Ruofei Zhang
Towards developing a unified multimodal image retrieval framework. ICME (2009)
Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan
Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM (2008)
Ruofei Zhang, Zhongfei Zhang
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. IEEE Trans. Image Process. 16 (2) (2007)
Ruofei Zhang, Ramesh Sarukkai, Jyh-Herng Chow, Wei Dai, Zhongfei Zhang
Joint categorization of queries and clips for web-based video search. Multimedia Information Retrieval (2006)
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang
A probabilistic semantic model for image annotation and multi-modal image retrieval. Multim. Syst. 12 (1) (2006)
Ruofei Zhang, Zhongfei (Mark) Zhang
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval. Image Vis. Comput. 24 (3) (2006)
Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang
A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva. ICCV (2005)
Ruofei Zhang, Zhongfei (Mark) Zhang
FAST: Toward more effective and efficient image retrieval. Multim. Syst. 10 (6) (2005)
Ruofei Zhang, Zhongfei Zhang
Image Database Classification based on Concept Vector Model. ICME (2005)
Ruofei Zhang, Zhongfei (Mark) Zhang
A Robust Color Object Analysis Approach to Efficient Image Retrieval. EURASIP J. Adv. Signal Process. 2004 (6) (2004)
Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode
A data mining approach to modeling relationships among categories in image collection. KDD (2004)
Ruofei Zhang, Zhongfei (Mark) Zhang
Hidden Semantic Concept Discovery in Region Based Image Retrieval. CVPR (2) (2004)
Ruofei Zhang, Sandeep Khanzode, Zhongfei (Mark) Zhang
Region Based a-Semantics Graph Driven Image Retrieval. ICPR (4) (2004)
Zhongfei Zhang, Ruofei Zhang, Jun Ohya
Exploiting the cognitive synergy between different media modalities in multimodal information retrieval. ICME (2004)
Ruofei Zhang, Zhongfei (Mark) Zhang, Zhongyuan Qin
Semantic repository modeling in image database. ICME (2004)
Ruofei Zhang, Zhongfei (Mark) Zhang
A Bayesian Framework for Automatic Concept Discovery in Image Collections. ICPR (2) (2004)
Ruofei Zhang, Zhongfei (Mark) Zhang
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. ECCV (3) (2004)
Zhongyuan Qin, Xuanqin Mou, Ruofei Zhang
A 3D Modeling Scheme for Cerebral Vasculature from MRA Datasets. CBMS (2003)
Ruofei Zhang, Zhongfei (Mark) Zhang
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously. Multimedia Information Retrieval (2003)
Ruofei Zhang, Zhongfei (Mark) Zhang, Jian Yao
A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying. Web Intelligence (2003)
Ruofei Zhang, Zhongfei Zhang
A Clustering Based Approach to Efficient Image Retrieval. ICTAI (2002)