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2020 – today
- 2024
- [j12]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): 5017-5077 (2024) - [c65]Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang, Lifeng Xing, Haitao Bai, Ziyang Zhou:
MERGE: Fast Private Text Generation. AAAI 2024: 19884-19892 - 2023
- [j11]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): 6727-6753 (2023) - [c64]Haitao Bai, Pinghui Wang, Ruofei Zhang, Zhou Su:
SegFormer: A Topic Segmentation Model with Controllable Range of Attention. AAAI 2023: 12545-12552 - [i21]Zi Liang, Pinghui Wang, Ruofei Zhang, Shuo Zhang, Xiaofan Ye, Yi Huang, Junlan Feng:
Healing Unsafe Dialogue Responses with Weak Supervision Signals. CoRR abs/2305.15757 (2023) - [i20]Zi Liang, Pinghui Wang, Ruofei Zhang, Nuo Xu, Shuo Zhang:
MERGE: Fast Private Text Generation. CoRR abs/2305.15769 (2023) - 2022
- [j10]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): 8041-8069 (2022) - [j9]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): 323-348 (2022) - [c63]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: 1-8 - [c62]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: 3654-3663 - [c61]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 - [c60]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: 444-452 - [c59]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: 107-115 - [c58]Haonan Li, Yameng Huang, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
CULG: Commercial Universal Language Generation. NAACL-HLT (Industry Papers) 2022: 112-120 - [i19]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 abs/2205.11162 (2022) - [i18]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 abs/2209.00625 (2022) - 2021
- [c57]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: 218-226 - [c56]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: 232-239 - [c55]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: 408-420 - [c54]Tianchuan Du, Keng-hao Chang, Paul Liu, Ruofei Zhang:
Improving Taxonomy-based Categorization with Categorical Graph Neural Networks. IEEE BigData 2021: 1015-1022 - [c53]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: 2918-2928 - [c52]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) 2021: 10395-10407 - [c51]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: 1-4 - [c50]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: 8630-8639 - [c49]Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang:
EL-Attention: Memory Efficient Lossless Attention for Generation. ICML 2021: 11648-11658 - [c48]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: 1692-1701 - [c47]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: 2848-2857 - [c46]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: 3733-3744 - [i17]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 abs/2101.06323 (2021) - [i16]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 abs/2103.13597 (2021) - [i15]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 abs/2104.08006 (2021) - [i14]Yu Yan, Jiusheng Chen, Weizhen Qi, Nikhil Bhendawade, Yeyun Gong, Nan Duan, Ruofei Zhang:
EL-Attention: Memory Efficient Lossless Attention for Generation. CoRR abs/2105.04779 (2021) - [i13]Haonan Li, Yeyun Gong, Jian Jiao, Ruofei Zhang, Timothy Baldwin, Nan Duan:
KFCNet: Knowledge Filtering and Contrastive Learning Network for Generative Commonsense Reasoning. CoRR abs/2109.06704 (2021) - [i12]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 abs/2110.04260 (2021) - 2020
- [j8]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): 370-397 (2020) - [j7]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): 533-548 (2020) - [c45]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: 2365-2372 - [c44]Wenhao Lu, Jian Jiao, Ruofei Zhang
:
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval. CIKM 2020: 2645-2652 - [c43]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: 2014-2025 - [c42]Qun Li, Changbo Hu, Keng-hao Chang, Ruofei Zhang
:
Boosting Fashion Image Attributes Classification Performance with MT-GAN Training Technique. DSAA 2020: 400-409 - [c41]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: 2401-2410 - [c40]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: 6008-6018 - [c39]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: 1-4 - [c38]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: 305-317 - [i11]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 abs/2001.04063 (2020) - [i10]Wenhao Lu, Jian Jiao, Ruofei Zhang:
TwinBERT: Distilling Knowledge to Twin-Structured BERT Models for Efficient Retrieval. CoRR abs/2002.06275 (2020) - [i9]Sanxing Chen
, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i8]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 abs/2010.07075 (2020) - [i7]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 abs/2010.10789 (2020) - [i6]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 abs/2011.11928 (2020) - [i5]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 abs/2012.00366 (2020) - [i4]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 abs/2012.15525 (2020)
2010 – 2019
- 2019
- [j6]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): 273-289 (2019) - [c37]J. Weston Hughes, Keng-hao Chang, Ruofei Zhang
:
Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning. KDD 2019: 2269-2277 - 2018
- [c36]Mu-Chu Lee, Bin Gao, Ruofei Zhang
:
Rare Query Expansion Through Generative Adversarial Networks in Search Advertising. KDD 2018: 500-508 - [c35]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: 941-950 - 2017
- [c34]Zi Yin, Keng-hao Chang, Ruofei Zhang
:
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. KDD 2017: 2131-2139 - [i3]Zi Yin, Keng-hao Chang, Ruofei Zhang:
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks. CoRR abs/1707.05470 (2017) - 2016
- [c33]Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang
, Zhongfei (Mark) Zhang:
DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks. KDD 2016: 1295-1304 - [c32]Shuangfei Zhai, Keng-hao Chang, Ruofei Zhang, Zhongfei Zhang:
Attention Based Recurrent Neural Networks for Online Advertising. WWW (Companion Volume) 2016: 141-142 - 2015
- [c31]Javad Azimi, Adnan Alam, Ruofei Zhang
:
Ads Keyword Rewriting Using Search Engine Results. WWW (Companion Volume) 2015: 3-4 - [c30]Pengqi Liu, Javad Azimi, Ruofei Zhang
:
Contextual Query Intent Extraction for Paid Search Selection. WWW (Companion Volume) 2015: 71-72 - 2014
- [c29]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: 920-928 - [c28]Pengqi Liu, Javad Azimi, Ruofei Zhang
:
Automatic keywords generation for contextual advertising. WWW (Companion Volume) 2014: 345-346 - [i2]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 abs/1407.1538 (2014) - 2013
- [c27]Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang
:
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. ECML/PKDD (1) 2013: 210-224 - 2012
- [c26]Haibin Cheng, Eren Manavoglu, Ying Cui, Ruofei Zhang
, Jianchang Mao:
Dynamic ad layout revenue optimization for display advertising. AdKDD@KDD 2012: 9:1-9:9 - [c25]Tianbing Xu, Ruofei Zhang
, Zhen Guo:
Multiview hierarchical bayesian regression model andapplication to online advertising. CIKM 2012: 485-494 - [c24]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: 495-504 - [c23]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: 777-785 - [c22]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: 457-458 - [i1]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 abs/1202.2158 (2012) - 2011
- [c21]Ying Cui, Ruofei Zhang
, Wei Li, Jianchang Mao:
Bid landscape forecasting in online ad exchange marketplace. KDD 2011: 265-273 - [c20]Tao Mei, Ruofei Zhang
, Xian-Sheng Hua:
Internet multimedia advertising: techniques and technologies. ACM Multimedia 2011: 627-628 - [c19]Maryam Karimzadehgan, Wei Li, Ruofei Zhang
, Jianchang Mao:
A stochastic learning-to-rank algorithm and its application to contextual advertising. WWW 2011: 377-386 - 2010
- [c18]Wei Li, Xuerui Wang, Ruofei Zhang
, Ying Cui, Jianchang Mao, Rong Jin:
Exploitation and exploration in a performance based contextual advertising system. KDD 2010: 27-36 - [p1]Zhongfei (Mark) Zhang, Ruofei Zhang:
Multimedia Data Mining. Data Mining and Knowledge Discovery Handbook 2010: 1081-1109
2000 – 2009
- 2009
- [c17]Zhongfei Zhang, Zhen Guo, Ruofei Zhang
:
Towards developing a unified multimodal image retrieval framework. ICME 2009: 1656-1659 - [c16]Hamed Valizadegan, Rong Jin, Ruofei Zhang, Jianchang Mao:
Learning to Rank by Optimizing NDCG Measure. NIPS 2009: 1883-1891 - 2008
- [c15]Haibin Cheng, Ruofei Zhang
, Yefei Peng, Jianchang Mao, Pang-Ning Tan
:
Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM 2008: 345-359 - 2007
- [j5]Ruofei Zhang
, Zhongfei Zhang:
Effective Image Retrieval Based on Hidden Concept Discovery in Image Database. IEEE Trans. Image Process. 16(2): 562-572 (2007) - 2006
- [j4]Ruofei Zhang
, Zhongfei (Mark) Zhang:
BALAS: Empirical Bayesian learning in the relevance feedback for image retrieval. Image Vis. Comput. 24(3): 211-223 (2006) - [j3]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): 27-33 (2006) - [c14]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: 193-202 - 2005
- [j2]Ruofei Zhang
, Zhongfei (Mark) Zhang:
FAST: Toward more effective and efficient image retrieval. Multim. Syst. 10(6): 529-543 (2005) - [c13]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: 846-851 - [c12]Ruofei Zhang
, Zhongfei Zhang:
Image Database Classification based on Concept Vector Model. ICME 2005: 93-96 - 2004
- [j1]Ruofei Zhang
, Zhongfei (Mark) Zhang:
A Robust Color Object Analysis Approach to Efficient Image Retrieval. EURASIP J. Adv. Signal Process. 2004(6): 871-885 (2004) - [c11]Ruofei Zhang, Zhongfei (Mark) Zhang:
Hidden Semantic Concept Discovery in Region Based Image Retrieval. CVPR (2) 2004: 996-1001 - [c10]Ruofei Zhang
, Zhongfei (Mark) Zhang:
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval. ECCV (3) 2004: 355-367 - [c9]Ruofei Zhang, Zhongfei (Mark) Zhang, Zhongyuan Qin:
Semantic repository modeling in image database. ICME 2004: 2079-2082 - [c8]Zhongfei Zhang, Ruofei Zhang, Jun Ohya:
Exploiting the cognitive synergy between different media modalities in multimodal information retrieval. ICME 2004: 2227-2230 - [c7]Ruofei Zhang
, Sandeep Khanzode, Zhongfei (Mark) Zhang:
Region Based a-Semantics Graph Driven Image Retrieval. ICPR (4) 2004: 909-912 - [c6]Ruofei Zhang, Zhongfei (Mark) Zhang:
A Bayesian Framework for Automatic Concept Discovery in Image Collections. ICPR (2) 2004: 973-976 - [c5]Ruofei Zhang
, Zhongfei (Mark) Zhang, Sandeep Khanzode:
A data mining approach to modeling relationships among categories in image collection. KDD 2004: 749-754 - 2003
- [c4]Zhongyuan Qin, Xuanqin Mou, Ruofei Zhang:
A 3D Modeling Scheme for Cerebral Vasculature from MRA Datasets. CBMS 2003: 346- - [c3]Ruofei Zhang
, Zhongfei (Mark) Zhang:
Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously. Multimedia Information Retrieval 2003: 71-78 - [c2]Ruofei Zhang
, Zhongfei (Mark) Zhang, Jian Yao:
A Unified Fuzzy Feature Indexing Scheme for Region Based Online Image Querying. Web Intelligence 2003: 421-424 - 2002
- [c1]Ruofei Zhang, Zhongfei Zhang:
A Clustering Based Approach to Efficient Image Retrieval. ICTAI 2002: 339-346
Coauthor Index
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