Ruofei Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
19
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Exploring Intrinsic Alignments Within Text Corpus. | Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui |
| 2025 | CVPR | Cross-Modal 3D Representation with Multi-View Images and Point Clouds. | Ziyang Zhou, Pinghui Wang, Zi Liang, Haitao Bai, Ruofei Zhang |
| 2025 | IJCAI | MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud. | Haitao Bai, Pinghui Wang, Ruofei Zhang, Ziyang Zhou, Juxiang Zeng, Yulou Su, Li Xing, Zhou Su, Chen Zhang, Lizhen Cui, Jun Hao, Wei Wang |
| 2024 | AAAI | MERGE: Fast Private Text Generation. | Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou |
| 2023 | AAAI | SegFormer: A Topic Segmentation Model with Controllable Range of Attention. | Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su |
| 2022 | CIKM | 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 |
| 2022 | ICLR | Taming Sparsely Activated Transformer with Stochastic Experts. | Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao |
| 2022 | NAACL | CULG: Commercial Universal Language Generation. | Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2022 | NAACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | EMNLP | KFCNet: Knowledge Filtering and Contrastive Learning for Generative Commonsense Reasoning. | Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan |
| 2021 | EMNLP | HittER: Hierarchical Transformers for Knowledge Graph Embeddings. | Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji |
| 2021 | ICML | 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 |
| 2021 | ICML | EL-Attention: Memory Efficient Lossless Attention for Generation. | Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang |
| 2021 | NAACL | 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 |
| 2021 | WWW | 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 |
| 2021 | WWW | 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 |
| 2020 | CIKM | 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 |
| 2020 | CIKM | TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. | Wenhao Lu, Jian Jiao, Ruofei Zhang |
| 2020 | COLING | 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 |
| 2020 | DSAA | Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. | Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2019 | KDD | Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. | J. Weston Hughes, Keng-hao Chang, Ruofei Zhang |
| 2018 | KDD | Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. | Mu-Chu Lee, Bin Gao, Ruofei Zhang |
| 2018 | KDD | RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization. | Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang |
| 2017 | KDD | DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. | Zi Yin, Keng-hao Chang, Ruofei Zhang |
| 2016 | KDD | DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. | Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2016 | WWW | Attention Based Recurrent Neural Networks for Online Advertising. | Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang |
| 2015 | WWW | Ads Keyword Rewriting Using Search Engine Results. | Javad Azimi, Adnan Alam, Ruofei Zhang |
| 2015 | WWW | Contextual Query Intent Extraction for Paid Search Selection. | Pengqi Liu, Javad Azimi, Ruofei Zhang |
| 2014 | WWW | Automatic keywords generation for contextual advertising. | Pengqi Liu, Javad Azimi, Ruofei Zhang |
| 2014 | SDM | 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 |
| 2012 | CIKM | 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 |
| 2012 | CIKM | Multiview hierarchical bayesian regression model andapplication to online advertising. | Tianbing Xu, Ruofei Zhang, Zhen Guo |
| 2012 | KDD | 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 |
| 2012 | WWW | 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 |
| 2011 | KDD | Bid landscape forecasting in online ad exchange marketplace. | Ying Cui, Ruofei Zhang, Wei Li, Jianchang Mao |
| 2011 | WWW | A stochastic learning-to-rank algorithm and its application to contextual advertising. | Maryam Karimzadehgan, Wei Li, Ruofei Zhang, Jianchang Mao |
| 2010 | KDD | Exploitation and exploration in a performance based contextual advertising system. | Wei Li, Xuerui Wang, Ruofei Zhang, Ying Cui, Jianchang Mao, Rong Jin |
| 2005 | ICCV | A Probabilistic Semantic Model for Image Annotation and Multi-Modal Image Retrieva. | Ruofei Zhang, Zhongfei (Mark) Zhang, Mingjing Li, Wei-Ying Ma, HongJiang Zhang |
| 2004 | CVPR | Hidden Semantic Concept Discovery in Region Based Image Retrieval. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | ECCV | Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | ICPR | Region Based a-Semantics Graph Driven Image Retrieval. | Ruofei Zhang, Sandeep Khanzode, Zhongfei (Mark) Zhang |
| 2004 | ICPR | A Bayesian Framework for Automatic Concept Discovery in Image Collections. | Ruofei Zhang, Zhongfei (Mark) Zhang |
| 2004 | KDD | A data mining approach to modeling relationships among categories in image collection. | Ruofei Zhang, Zhongfei (Mark) Zhang, Sandeep Khanzode |
| 2003 | CBMS | A 3D Modeling Scheme for Cerebral Vasculature from MRA Datasets. | Zhongyuan Qin, Xuanqin Mou, Ruofei Zhang |
| 2002 | ICTAI | A Clustering Based Approach to Efficient Image Retrieval. | Ruofei Zhang, Zhongfei Zhang |