Research
Selected publications
Full list
IR: Large Language Models, Dialogue Systems (Chatbot),
Recommendation, Search
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Guanghao
Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian
Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui
Zhang, Yong Jiang, EvdCLIP: Improving
Vision-Language Retrieval with Entity Visual
Descriptions from Large Language Models, AAAI
2025.
¡¡
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Tu Gu,
Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long,
Rui Zhang, BT-Tree: A Reinforcement Learning
Based Index for Big Trajectory Data, ACM SIGMOD
Conference 2025.
¡¡
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Haojie
Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo
Chen, MAJL: A Model-Agnostic Joint Learning
Framework for Music Source Separation and Pitch
Estimation, ACM Multimedia (MM) 2024.
¡¡
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Xiaoyan
Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui
Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng
Xu, A Comprehensive Survey on Relation
Extraction: Recent Advances and New Frontiers,
ACM Computing Surveys, 56 (11), 293, pp 1-39,
2024.
¡¡
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Xiaoteng
Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi
Xiao,
PMG : Personalized Multimodal Generation with
Large Language Models, The Web Conference
2024. (Slides
of Multimodal Generation for Recommendation)
¡¡
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Jieming
Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong,
Multimodal Pretraining and Generation for
Recommendation: A Tutorial, The Web
Conference 2024.
¡¡
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Yushen Li,
Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan,
Rui Zhang, Shu-Tao Xia,
RAT: Retrieval-Augmented Transformer for
Click-Through Rate Prediction, The Web
Conference 2024. (Short paper)
¡¡
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Jiyuan
Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin
Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren,
Xin Xin, Debiasing Sequential Recommenders
through Distributionally Robust Optimization
over System Exposure, The 17th ACM International
Conference Web Search and Data Mining (WSDM)
2024. Best Paper Honorable Mention Award.
¡¡
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Hengchang
Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui
Zhang, Min-Yen Kan, User Behavior Enriched
Temporal Knowledge Graph for Sequential
Recommendation, The 17th ACM International
Conference Web Search and Data Mining (WSDM)
2024.
¡¡
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Kexin
Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui
Zhang, IncMSR: An Incremental Learning Approach
for Multi-Scenario Recommendation, The 17th ACM
International Conference Web Search and Data
Mining (WSDM) 2024.
¡¡
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Shiwei Li,
Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou,
Ruixuan Li, Rui Zhang,
Embedding Compression in Recommender Systems: A
Survey, ACM Computing Surveys, 56 (5), pp
1¨C21, 2024.
¡¡
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Rui Zhang,
Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao,
Min Yang, Hong Cheng, Jianzhong Qi,
AutoAlign: Fully Automatic and Effective
Knowledge Graph Alignment enabled by Large
Language Models,
IEEE Transactions on Knowledge and Data
Engineering (TKDE),
36(6) June 2024, pp 2357 - 2371.
¡¡
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Xu
Chen, Jingsen Zhang, Lei Wang, Quanyu Dai,
Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen,
Xin Zhao, Ji-Rong Wen,
REASONER: An Explainable Recommendation Dataset
with Comprehensive Labeling Ground Truths,
The 37th Annual Conference on Neural Information
Processing Systems (NeurIPS) 2023.
¡¡
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Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting
Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui
Zhang, Hai-Tao Zheng, Shu-Tao Xia.
MISSRec: Pre-training and Transferring
Multi-modal Interest-aware Sequence
Representation for Recommendation. ACM MM
Conference (MM) 2023.
¡¡
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Yunjia Xi,
Weiwen Liu, Yang Wang, Ruiming Tang, Weinan
Zhang, Y. Zhu, Rui Zhang, Yong Yu.
On-device Integrated Re-ranking with
Heterogeneous Behavior Modeling. 29th ACM
SIGKDD Conference on Knowledge Discovery and
Data Mining (KDD) 2023, pages 5225-5236.
¡¡
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Chang
Meng, Hengyu Zhang, Wei Guo, Huifeng Guo,
Haotian Liu, Yingxue Zhang, Hongkun Zheng,
Ruiming Tang, Xiu Li, Rui Zhang.
Hierarchical Projection Enhanced Multi-behavior
Recommendation. 29th ACM SIGKDD Conference
on Knowledge Discovery and Data Mining (KDD)
2023, pages 4649-4660.
¡¡
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Yuhao
Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng
Guo, Huanshuo Liu, Yichao Wang, Rui Zhang,
Ruiming Tang.
PLATE: A Prompt-Enhanced Paradigm for
Multi-Scenario Recommendations. The 46th
International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR)
2023, pages 1498-1507.
¡¡
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Jieming
Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai,
Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui
Zhang.
FINAL: Factorized Interaction Layer for CTR
Prediction. The 46th International ACM SIGIR
Conference on Research and Development in
Information Retrieval (SIGIR) 2023, pages
2006-2010.
¡¡
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Haojie
Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang
Wang.
JEPOO: Highly Accurate Joint Estimation of
Pitch, Onset and Offset for Music Information
Retrieval. The 32nd International Joint
Conference on Artificial Intelligence (IJCAI)
2023, pages 4892-4902.
¡¡
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Han Chen,
Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li,
Rui Zhang.
CSGCL: Community-Strength-Enhanced Graph
Contrastive Learning. The 32nd International
Joint Conference on Artificial Intelligence
(IJCAI) 2023, pages 2059-2067
¡¡
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Xiaofan
Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Dai
Quanyu, Lin Bo, Rui Zhang and Ruiming Tang.
Task Adaptive Multi-learner Network for Joint
CTR and CVR Estimation. Proceedings of
the ACM Web Conference (WWW) 2023
¡¡
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Wei Guo, Chang Meng,
Enming Yuan, ZhiCheng He, Huifeng Guo, Yingxue
Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu
Li, Rui Zhang.
Compressed Interaction Graph based Framework for
Multi-behavior Recommendation.
Proceedings of the ACM Web Conference (WWW)
2023 Pages 960¨C970.
¡¡
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Jingsen Zhang, Xu Chen,
Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua
Dong, Rui Zhang.
Recommendation with Causality enhanced Natural
Language Explanations. Proceedings of the
ACM Web Conference (WWW) 2023 Pages 876¨C886.
¡¡
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Bayu D.
Trisedya, Jianzhong Qi, Haitao Zheng, Flora D.
Salim, Rui Zhang.
TransCP: A Transformer Pointer Network for
Generic Entity Description Generation with
Explicit Content-Planning.
IEEE Transactions on Knowledge and Data
Engineering (TKDE),
accepted in 2023.
¡¡
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Yunxiang
Zhao, Jianzhong Qi, Bayu D. Trisedya, Yixin Su,
Rui Zhang, Hongguang Ren.
Learning Region Similarities via Graph-based
Deep Metric Learning.
IEEE Transactions on Knowledge and Data
Engineering (TKDE),
35 (10) pp. 10237-10250, 2023.
¡¡
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Dugang Liu, Pengxiang
Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong,
Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming.
Bounding System-Induced Biases in Recommender
Systems with a Randomized Dataset. ACM
Transactions on Information Systems (TOIS),
41(4), 1-26, 2023.
¡¡
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Yunjia
Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan
Zhang, Rui Zhang, Ruiming Tang, Yong Yu.
A Bird's-eye View of Reranking: From List Level
to Page Level.
The 16th ACM
International Conference on Web Search and Data
Mining (WSDM) 2023.
Pages 1075¨C1083.
¡¡
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Lingyue
Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang,
Weinan Zhang, Rui Zhang, Yong Yu.
An F-shape Click Model for Information Retrieval
on Multi-block Mobile Pages.
The 16th ACM
International Conference on Web Search and Data
Mining (WSDM) 2023.
Pages 1057¨C1065.
¡¡
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Shiwei
Li, Huifeng Guo, Lu Hou, Wei zhang, Xing Tang,
Ruiming Tang, Rui Zhang, Ruixuan Li.
Adaptive Low-Precision Training for Embeddings
in Click-Through Rate Prediction.
The 37th AAAI Conference on Artificial
Intelligence (AAAI) 2023.
¡¡
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Rui Sun,
Fengwei Zhou, Zhenhua Dong, Chuanlong Xie,
Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li,
Zhenguo Li.
Fair-CDA: Continuous and Directional
Augmentation for Group Fairness.
The 37th
AAAI Conference on Artificial Intelligence
(AAAI) 2023.
¡¡
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Caesar
Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal
Bouvry.
Strategic Decisions Survey, Taxonomy, and Future
Directions from Artificial Intelligence
Perspective. ACM Computing Surveys,
55(12), 1¨C30, 2023.
¡¡
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Weiwen Liu, Yunjia Xi,
Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li,
Weinan Zhang, Rui Zhang.
Personalized Diversification for Neural
Re-ranking in Recommendation. Proceedings
of the 39th IEEE International Conference on
Data Engineering (ICDE) 2023.
¡¡
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Haopeng Li,
Qiuhong Ke,
Mingming Gong,
Rui Zhang.
Video Joint Modelling Based on Hierarchical
Transformer for Co-summarization.
Transactions on Pattern Analysis and Machine
Intelligence (TPAMI),
45(3), 3904 - 3917, 2023. (source
code)
¡¡
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Zhicheng
He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming
Tang, Dingyin Xia, Rui Zhang.
Unsupervised Learning Style Classification for
Learning Path Generation in Online Education
Platforms.
28th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD)
2022.
¡¡
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Quanyu
Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua
Zhou, Rui Zhang, Rui Zhang, Jie Sun.
A Generalized Doubly Robust Learning Framework
for Debiasing Post-Click Conversion Rate
Prediction.
28th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD)
2022.
¡¡
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Yixin Su,
Yunxiang Zhao, Sarah Erfani, Junhao Gan, Rui
Zhang.
Detecting Arbitrary Order Beneficial Feature
Interactions for Recommender Systems.
28th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD)
2022. (source
code)
¡¡
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Weiwen
Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen,
Weinan Zhang, Rui Zhang, Ruiming Tang.
Neural Re-ranking in Multi-stage Recommender
Systems: A Review.
The 31st
International Joint Conference on Artificial
Intelligence and the 25th European Conference on
Artificial Intelligence
(IJCAI-ECAI) 2022. (source
code)
¡¡
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Lin
(Yuanbo) Wu, Deyin Liu, Xiaojie Guo, Richang
Hong, Liangchen Liu, Rui Zhang.
Multi-scale Spatial Representation Learning via
Recursive Hermite Polynomial Networks.
The 31st
International Joint Conference on Artificial
Intelligence and the 25th European Conference on
Artificial Intelligence
(IJCAI-ECAI) 2022.
¡¡
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Jieming
Zhu, Quanyu Dai, LiangCai Su, Rong Ma, Jinyang
Liu, Guohao Cai, Xi Xiao, Rui Zhang.
BARS: Towards Open Benchmarking for Recommender
Systems.
The 45th
International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR)
2022.
(source
code and datasets)
¡¡
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Yunjia Xi,
Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai,
Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu.
Multi-Level Interaction Reranking with User
Behavior History.
The 45th International ACM SIGIR Conference on
Research and Development in Information
Retrieval (SIGIR) 2022.
¡¡
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Jiarui
Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen
Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan
Zhang.
RankFlow: Joint Optimization of Multi-Stage
Cascade Ranking Systems as Flows.
The 45th International ACM SIGIR Conference on
Research and Development in Information
Retrieval (SIGIR) 2022.
¡¡
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Guohao
Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong,
Xiuqiang He, Ruiming Tang, Rui Zhang.
ReLoop: A Self-Correction Continual Learning
Loop for Recommender Systems.
The 45th International ACM SIGIR Conference on
Research and Development in Information
Retrieval (SIGIR) 2022.
¡¡
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Rui Zhang,
Bayu D. Trisedya, Miao Li, Yong Jiang, and
Jianzhong Qi.
A Benchmark and Comprehensive Survey on
Knowledge Graph Entity Alignment via
Representation Learning. VLDB Journal,
31 (5), 1143¨C1168, 2022. (source
code)
¡¡
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Shiquan Yang, Rui Zhang, Sarah Erfani, Jey Han
Lau.
An Interpretable Neuro-Symbolic Reasoning
Framework for Task-Oriented Dialogue Generation.
59th Annual Meeting of the Association for
Computational Linguistics (ACL) 2022.
¡¡
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Dong
Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu,
Yudong Zhu, Rui Zhang, Xiuqiang He.
Contrastive Learning with Positive-Negative
Frame Mask for Music Representation. The
Web Conference (WWW), 2022, Pages 2906¨C2915.
¡¡
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Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming
Tang, Xiuqiang He, Rui Zhang, Xue Liu.
Memorize, Factorize, or be Naïve: Learning
Optimal Feature Interaction Methods for CTR
Prediction. Proceedings of the 38th
IEEE International Conference on Data
Engineering (ICDE) 2022.
¡¡
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Wei
Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng
Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui
Zhang.
MISS: Multi-Interest Self-Supervised Learning
Framework for Click-Through Rate Prediction.
Proceedings of the 38th IEEE International
Conference on Data Engineering (ICDE) 2022.
¡¡
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Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong,
Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang
He.
Regularization Penalty Optimization for
Addressing Data Quality Variance in OoD
Algorithms. The 36th AAAI Conference on
Artificial Intelligence (AAAI) 2022.
¡¡
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Bayu
D. Trisedya, Jianzhong Qi, Wei Wang, and Rui
Zhang.
GCP: Graph Encoder with Content-Planning for
Sentence Generation from Knowledge Base.
Transactions on Pattern Analysis and Machine
Intelligence (TPAMI),
44(11), 7521 - 7533, 2022.
¡¡
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Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey
Han Lau.
UniMF: A Unified Framework to Incorporate
Multimodal Knowledge Bases into End-to-End
Task-Oriented Dialogue Systems.
International Joint Conference
on Artificial Intelligence (IJCAI) 2021.
¡¡
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Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao
Gan.
Neural Graph Matching based Collaborative
Filtering. The 44th International
ACM SIGIR Conference on Research and Development
in Information Retrieval (SIGIR) 2021
Code and Data
¡¡
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Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu,
Detecting Beneficial Feature Interactions for
Recommender Systems. The 35th AAAI
Conference on Artificial Intelligence (AAAI)
2021.
Code
and Data
¡¡
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Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi,
Combating Selection Biases in Recommender
Systems with A Few Unbiased Ratings.
The 13th ACM International
Conference on Web Search and Data Mining (WSDM)
2021.
¡¡
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Xiaojie
Wang, Rui Zhang, Yu Sun, Jianzhong Qi.
Adversarial Distillation for Learning with
Privileged Provisions. Transactions on
Pattern Analysis and Machine Intelligence
(TPAMI), 43(3), 786-797, 2021.
¡¡
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Shiquan Yang, Rui Zhang, Sarah Erfani,
GraphDialog: Integrating Graph Knowledge into
End-to-End Task-Oriented Dialogue Systems,
The 2020 Conference on Empirical Methods in
Natural Language Processing (EMNLP) 2020.
¡¡
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Xinting
Huang, Jianzhong Qi, Yu Sun and Rui Zhang,
Semi-Supervised Dialogue Policy Learning via
Stochastic Reward Estimation,
57th Annual Meeting of the Association for
Computational Linguistics (ACL), 2020.
¡¡
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Xinting
Huang, Jianzhong Qi, Yu Sun, Rui Zhang,
MALA: Cross-Domain Dialogue Generation with
Action Learning. Proceedings of the 33th
AAAI Conference on Artificial Intelligence (AAAI
2020), 2020.
¡¡
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Xiaojie
Wang, Rui Zhang, Yu Sun, Jianzhong Qi.
Doubly Robust Joint Learning for Recommendation
on Data Missing Not at Random, The 36th
International Conference on Machine Learning
(ICML) 2019.
¡¡
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Xiaojie
Wang, Rui Zhang, Yu Sun, Jianzhong Qi.
KDGAN: Knowledge Distillation with Generative
Adversarial Networks, 32nd Conference on
Neural Information Processing Systems (NIPS)
2018.
¡¡
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Xiaojie
Wang, Jianzhong Qi,
Ramamohanarao
Kotagiri, Yu Sun, Bo Li, and Rui Zhang.
Joint Optimization Approach for Personalized
Recommendation Diversification. 22nd
Pacific-Asia Conference on Advances in Knowledge
Discovery and Data Mining (PAKDD) 2018.
¡¡
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Chuandong
Yin, Rui Zhang, Jianzhong Qi, Yu Sun, and
Tenglun Tan.
Context-Uncertainty-Aware Chatbot Action
Selection via Parameterized Auxiliary
Reinforcement Learning. 22nd Pacific-Asia
Conference on Advances in Knowledge Discovery
and Data Mining (PAKDD) 2018.
¡¡
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Yu Sun, Nicholas Jing Yuan, Xing
Xie, Kieran
McDonald, Rui Zhang.
Collaborative Intent Prediction with Real-Time
Contextual Data, ACM Transactions on
Information Systems (TOIS), 35 (4), 30,
2017.
¡¡
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Yu Sun, Nicholas Jing Yuan,
Yingzi Wang, Xing
Xie, Kieran McDonald, Rui Zhang.
Contextual Intent Tracking for Personal
Assistants, 22th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD)
2016. Best Student Paper Award for
the Applied Data Science track.
Video
Slides
¡¡
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Yu Sun, Nicholas Jing Yuan, Xing
Xie, Kieran
McDonald, Rui Zhang.
Collaborative Nowcasting for Contextual
Recommendation, WWW conference 2016.
Spatial Data Mining, Knowledge Base, Information
Extraction
¡¡
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Yu
Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi,
Zhigang Wang, Ge Yu, and Rui Zhang. Distributed
Hypergraph Processing Using Intersection Graphs.
IEEE Transactions on Knowledge and Data
Engineering (TKDE),
34(7), 3182 - 3195, 2022.
¡¡
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Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui
Zhang.
WGCN: Graph Convolutional Networks with Weighted
Structural Features. The 44th
International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR)
2021
Code and Data
¡¡
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Ning
Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui
Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao
Zheng, Rui Zhang,
Prototypical Representation Learning for
Relation Extraction. The Ninth
International Conference on Learning
Representations (ICLR) 2021.
¡¡
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Yimeng Dai, Rui Zhang, Jianzhong Qi,
Automatic Webpage Briefing. Proceedings
of the 37th IEEE International Conference on
Data Engineering (ICDE) 2021.
¡¡
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Hao
Wu, Junhao Gan, Zhewei Wei, Rui Zhang,
Unifying the Global and Local Approaches: An
Efficient Power Iteration with Forward Push.
Proceedings of ACM Conference on Management
of Data (SIGMOD) 2021.
¡¡
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Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong
Qi, and Rui Zhang.
HexCNN: A Framework for Native Hexagonal
Convolutional Neural Networks. 20th IEEE
International Conference on Data Mining (ICDM)
2020.
¡¡
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Yimeng
Dai, Rui Zhang, Jianzhong Qi.
Person Name Recognition with Fine-grained Name
Annotation. Proceedings of the ACM/IEEE
Joint Conference on Digital Libraries (JCDL
2020), 2020.
¡¡
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Yimeng
Dai, Jianzhong Qi, and Rui Zhang.
Joint Recognition of Names and Publications in
Academic Homepages. The 13th ACM
International Conference on Web Search and Data
Mining (WSDM 2020), 133-141, 2020.
¡¡
-
Bayu
Distiawan
Trisedya, Jianzhong
Qi, Rui Zhang,
Sentence Generation for Entity Description with
Content-plan Attention. Proceedings of
the 33th AAAI Conference on Artificial
Intelligence (AAAI 2020), 2020.
¡¡
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Jianzhong Qi, Wei Wang, Rui Zhang, and
Zhuowei Zhao. A
Learning Based Approach to Predict Shortest-Path
Distances. 23th International Conference on
Extending Database Technology (EDBT), 2020.
¡¡
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Hongfei
Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui
Zhang,
Efficient processing of moving collective
spatial keyword queries. VLDB Journal,
accpeted in Nov
2019.
¡¡
-
Bayu
Distiawan
Trisedya, Gerhard
Weikum, Jianzhong
Qi, Rui Zhang.
Neural Relation Extraction for Knowledge Base
Enrichment. 56th Annual Meeting of the
Association for Computational Linguistics (ACL)
2019.
¡¡
-
Yunxiang
Zhao, Jianzhong Qi, and Rui Zhang.
CBHE: Corner-based Building Height Estimation
for Complex Street Scene Images. The Web
Conference (WWW), 2019.
¡¡
-
Bayu
Distiawan
Trsedya, Jianzhong
Qi, Rui Zhang.
Entity Alignment between Knowledge Graphs Using
Attribute Embeddings, Proceedings of the
33th AAAI Conference on Artificial Intelligence
(AAAI 2019).
¡¡
-
Bayu
Distiawan
Trisedya, Jianzhong
Qi, Rui Zhang, Wei Wang.
GTR-LSTM: A Triple Encoder for Sentence
Generation from RDF Data. 56th
Annual Meeting of the Association for
Computational Linguistics (ACL) 2018.
¡¡
-
Mingzhao
Li, Zhifeng Bao,
Timos
Sellis, Shi Yan, Rui
Zhang,
HomeSeeker: A visual
analytics system of real estate data,
Journal of Visual Languages & Computing, 45,
1-16, 2018.
¡¡
-
Sheng Wang, Zhifeng
Bao, Shixun Huang,
Rui Zhang,
A Unified Processing Paradigm for Interactive
Location-based Web Search, The 11th ACM
International Conference on Web Search and Data
Mining (WSDM 2018).
¡¡
-
Xiaojie
Wang, Ji-Rong Wen, Zhicheng
Dou, Tetsuya Sakai, Rui Zhang,
Search Result Diversity Evaluation based on
Intent Hierarchies, IEEE Transactions on
Knowledge and Data Engineering (TKDE), 30
(1): 156-169, 2018.
¡¡
-
Weihao
Cheng, Sarah Erfani,
Rui Zhang, Kotagiri
Ramamohanarao.
Predicting Complex Activities from Ongoing
Multivariate Time Series. International
Joint Conference on Artificial Intelligence
(IJCAI), 2018.
¡¡
-
Weihao
Cheng, Sarah M. Erfani,
Rui Zhang, Kotagiri
Ramamohanarao,
Learning Datum-Wise Sampling Frequency for
Energy-Efficient Human Activity Recognition,
Proceedings of the 32th AAAI Conference on
Artificial Intelligence (AAAI 2018).
¡¡
-
Weihao
Cheng, Sarah M. Erfani,
Rui Zhang, Kotagiri
Ramamohanarao:
Accurate Recognition of the Current Activity in
the Presence of Multiple Activities. 21st
Pacific-Asia Conference on Advances in Knowledge
Discovery and Data Mining (PAKDD) 2017:
39-50
¡¡
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Zeyi
Wen, Bin Li, Rao Kotagiri,
Jian Chen, Yawen
Chen, Rui Zhang.
Improving Efficiency of SVM k-fold
Cross-validation by Alpha Seeding.
Proceedings of the 31th AAAI Conference on
Artificial Intelligence (AAAI'2017).
¡¡
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Jiazhen
He, Benjamin I. P. Rubinstein, James Bailey, Rui
Zhang, Sandra Milligan, and Jeffrey Chan.
MOOCs Meet Measurement Theory: A Topic-Modelling
Approach. Proceedings of the 30th AAAI
Conference on Artificial Intelligence
(AAAI'2016).
¡¡
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Jiazhen
He, James Bailey, Benjamin Rubinstein, Rui
Zhang,
Identifying At-Risk Students in Massive Open
Online Courses, Proceedings of the 29th
AAAI Conference on Artificial Intelligence
(AAAI), 2015.
¡¡
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Zeyi
Wen, Rui Zhang, Kotagiri
Ramamohanarao,
Jianzhong Qi and Kerry Taylor.
MASCOT: Fast and Highly Scalable SVM
Cross-validation using GPUs and SSDs. The
IEEE International Conference on Data Mining
(ICDM), 2014.
Databases and Others
¡¡
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Ang
Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan
Zong, Feng Xue, Rui Zhang.
Noise Doesn¡¯t Lie: Towards Universal Detection
of Deep Inpainting.
International Joint Conference
on Artificial Intelligence (IJCAI) 2021.
¡¡
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Yang
Song, Yu Gu, Rui Zhang, Ge Yu,
ProMIPS: Efficient High-Dimensional
c-Approximate Maximum Inner Product Search with
a Lightweight Index. Proceedings of the
37th IEEE International Conference on Data
Engineering (ICDE) 2021.
¡¡
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Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao,
Onizuka Makoto, Wei Wang, Rui Zhang,
Consistent and Flexible Selectivity Estimation
for High-Dimensional Data. Proceedings of
ACM Conference on Management of Data (SIGMOD)
2021.
¡¡
-
Ang
Li, Shanshan Zhao, Xingjun Ma, Mingming Gong,
Jianzhong Qi, Rui Zhang, Dacheng Tao, and
Ramamohanarao Kotagiri.
Short-Term and Long-Term Context Aggregation
Network for Video Inpainting. 16th
European Conference on Computer Vision (ECCV)
2020.
¡¡
-
Hao Wu, Junhao Gan,
Rui Zhang.
Learning Based Distributed Tracking. 26th
ACM SIGKDD Conference on Knowledge Discovery and
Data Mining (KDD) 2020.
¡¡
-
Jianzhong Qi, Yufei
Tao, Yanchuan Chang,
and Rui Zhang.
Packing R-trees with Space-Filling Curves:
Theoretical Optimality, Empirical Efficiency,
and Bulk-loading Parallelizability. ACM
Transactions on Database Systems (TODS),
45(3): 14, 1-47, 2020.
¡¡
-
Yang Song, Yu Gu, Rui Zhang and Ge Yu.
BrePartition:
Optimized High-Dimensional
kNN Search with Bregman Distances.
IEEE Transactions on Knowledge and Data
Engineering (TKDE), 34(3), 1053 - 1065,
2022.
¡¡
-
Ang Li, Jianzhong Qi, Rui Zhang,
Kotagiri
Ramamohanarao.
Generative Image Inpainting with Submanifold
Alignment, International Joint Conference
on Artificial Intelligence (IJCAI) 2019.
http://arxiv.org/abs/1908.00211
¡¡
-
Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan.
DBSVEC: Density-Based Clustering Using Support
Vector Expansion. Proceedings of the 34th
IEEE International Conference on Data
Engineering (ICDE), 2019.
¡¡
-
Zeyi
Wen, Dong Deng, Rui Zhang,
Kotagiri
Ramamohanarao.
2ED: An Efficient Entity Extraction Algorithm
using Two-Level Edit-Distance.
Proceedings of the 34th IEEE International
Conference on Data Engineering (ICDE), 2019.
¡¡
-
Wenkai
Jiang, Jianzhong Qi, Jeffrey Xu Yu,
Jin Huang, Rui
Zhang.
HyperX: A Scalable Hypergraph Framework.
IEEE Transactions on Knowledge and Data
Engineering (TKDE), 31 (5), 909 ¨C 922, 2019.
code
¡¡
-
Tanzima
Hashem, Lars Kulik,
Kotagiri
Ramamohanarao, Rui Zhang,
Subarna Chowdhury
Soma, Protecting Privacy for Distance and Rank
Based Group Nearest Neighbor Queries, World
Wide Web Journal (WWWJ), 22, 375¨C416, 2019.
¡¡
-
Xi Zheng, Yuqun
Zhang, Tianlei
Zheng, Yao Deng, ErXi
Dong, Rui Zhang, Xiao Liu,
SmartVM: a SLA-aware microservice
deployment framework,
World Wide Web Journal (WWWJ),
22, 275¨C293, 2019.
¡¡
-
Jianzhong Qi, Yufei
Tao, Yanchuan Chang,
Rui Zhang,
Theoretically Optimal and Empirically Efficient
Rtrees with Strong
Parallelizability, Proceedings of the
VLDB Endowment (PVLDB), 11(5), 2018.
¡¡
-
Jianzhong Qi, Vivek Kumar, Rui Zhang,
Egemen
Tanin,
Goce
Trajcevski, and
Peter Scheuermann. Continuous Maintenance of
Range Sum Heat Maps. Proceedings of the 33th
IEEE International Conference on Data
Engineering (ICDE) 2018. (demo).
¡¡
-
Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li
Yang, Scalable and fast SVM regression using
modern hardware, World Wide Web Journal
(WWWJ), 21(2): 261-287, 2018.
¡¡
-
Saad Aljubayrin,
Jianzhong Qi, Christian S. Jensen, Rui Zhang,
Zhen He, Yuan Li.
Finding Lowest-Cost Paths in Settings with Safe
and Preferred Zones. VLDB Journal,
26(3): 373-397, 2017.
¡¡
-
Yu Gu, Guanli Liu,
Jianzhong Qi, Hongfei
Xu, Ge Yu, and Rui Zhang.
The Moving K Diversified Nearest Neighbor Query.
IEEE Transactions on Knowledge and Data
Engineering (TKDE), 28(10): 2778-2792, 2016.
¡¡
-
Yu Sun, Rui Zhang, Andy Yuan
Xue, Jianzhong Qi,
Xiaoyong Du.
Reverse Nearest Neighbor Heat Maps: A Tool for
Influence Exploration, Proceedings of the
31th IEEE International Conference on Data
Engineering (ICDE) 2016.
see RNN heat maps for cities around the world.
¡¡
-
Chuanwen
Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and
Qingxu Deng.
INSQ: An Influential Neighbor Set Based Moving
kNN Query Processing
System. Proceedings of the 31th IEEE
International Conference on Data Engineering
(ICDE) 2016. (demo).
¡¡
-
Jin
Huang, Rui Zhang, Rajkumar
Buyya, Jian Chen,
Yongwei Wu,
HEADS-JOIN: Efficient Earth Mover¡¯s
Distance Similarity Joins on Hadoop, IEEE
Transactions on Parallel and Distributed Systems
(TPDS), 27(6): 1660-1673, 2016.
¡¡
-
Jin
Huang, Rui Zhang, and Jeffrey Xu Yu.
Scalable Hypergraph Processing, The IEEE
International Conference on Data Mining (ICDM),
2015. (Short)
¡¡
-
Weichao
Guo, Kang Chen, Huan Feng,
Yongwei Wu, Rui Zhang,
Weimin Zheng. MARS:
Mobile Application Relaunching Speed-up through
Flash-Aware Page Swapping, IEEE Transactions
on Computers, 65(3): 916-928, 2016.
¡¡
-
Thi
Nguyena, Zhen He,
Rui Zhang, Philip G. D. Ward,
Exploiting velocity distribution skew to speed
up moving object indexing, Information
Systems, 51(c):72-104, 2015.
¡¡
-
Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang,
K-Nearest Neighbor Temporal Aggregate Queries,
EDBT 2015.
¡¡
-
Saad Aljubayrin,
Jianzhong Qi, Christian Jensen, Rui Zhang, Zhen
He, Zeyi Wen.
The Safest Path via Safe Zones.
Proceedings of the 31th IEEE International
Conference on Data Engineering (ICDE) 2015.
¡¡
-
Chuanwen
Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and
Yi Wang.
Processing Moving kNN
Queries Using Influential Neighbor Sets.
Proceedings of the VLDB Endowment (PVLDB),
vol.8 (2): 113 - 124, 2014.
Source code.
¡¡
-
Andy Yuan Xue,
Jianzhong Qi, Xing Xie,
Rui Zhang, Jin
Huang, and Yuan Li.
Solving the Data Sparsity Problem in Destination
Prediction. VLDB Journal, 24 (2):
219-243, 2014.
¡¡
-
Phillip G. D. Ward, Zhen He, Rui Zhang and
Jianzhong Qi.
Real-time Continuous Intersection Joins over
Large Sets of Moving Objects using Graphic
Processing Units. VLDB Journal,
23(6): 965-985, 2014.
¡¡
-
Yanqiu
Wang, Rui Zhang, Chuanfei
Xu, Jianzhong Qi, Yu Gu and Ge Yu.
Continuous Visible k Nearest Neighbor Query on
Moving Objects. Information Systems,
44: 1-21, 2014.
¡¡
-
Rui Zhang, Jianzhong Qi, Martin Stradling and
Jin Huang.
Towards a Painless Index for Spatial Objects.
ACM Transactions on Data Base Systems (TODS),
39 (3), 19, 2014.
source code
¡¡
-
Dongsheng Duan,
Yuhua
Li ,
Ruixuan Li, Rui
Zhang, Xiwu Gu,
Kunmei Wen.
LIMTopic: A
Framework of Incorporating Link based Importance
into Topic Modeling. IEEE Transactions on
Knowledge and Data Engineering (TKDE),
26(10): 2493-2506. 2014.
¡¡
-
Jin
Huang, Rui Zhang, Rajkumar
Buyya, and Jian Chen.
MELODY-Join: Efficient Earth Mover's Distance
Similarity Join Using MapReduce.
Proceedings of the 30th IEEE International
Conference on Data Engineering (ICDE) 2014.
Slides, Source code and Datasets.
¡¡
-
Jianzhong Qi, Rui Zhang,
Kotagiri
Ramamohanarao, Hongzhi Wang,
Zeyi Wen and Dan Wu.
Indexable Online Time Series Segmentation with
Error Bound Guarantee. World
Wide Web Journal (WWWJ), 18(2):
359-401, 2015
¡¡
-
Jianzhong Qi, Rui Zhang,
Yanqiu Wang, Andy Yuan
Xue, Ge Yu, Lars
Kulik.
The Min-dist
Location Selection and Facility Replacement
Queries. World Wide Web Journal (WWWJ),
17(6): 1261-1293, 2014.
¡¡
-
Andy Yuan Xue, Rui
Zhang, Yu Zheng, Xing Xie,
Jianhui Yu, Yong
Tang.
DesTeller: A System
for Destination Prediction Based on Trajectories
with Privacy Protection. (Demo)
Proceedings of the VLDB Endowment (PVLDB)
vol.6(12):1198-1201, 2013.
Play the Demo
¡¡
-
Andy Yuan Xue, Rui
Zhang, Yu Zheng, Xing Xie,
Jin Huang,
Zhenghua Xu.
Destination Prediction by Sub-Trajectory
Synthesis and Privacy Protection Against Such
Prediction. IEEE International Conference
on Data Engineering (ICDE) 2013.
Slides
¡¡
-
Tanzima
Hashem, Lars Kulik, Rui Zhang.
Countering Overlapping Rectangle Privacy Attack
for Moving kNN
Queries. Information Systems. 38(3):
430-453, 2013.
¡¡
-
Dongsheng Duan,
Yuhua Li,
Ruixuan Li, Rui
Zhang, Aiming Wen.
RankTopic: Ranking
Based Topic Modeling. IEEE International
Conference on Data Mining (ICDM) 2012.
¡¡
-
Thi
Nguyen, Zhen He, Rui Zhang, Phillip Ward.
Boosting Moving Object Indexing through Velocity
Partitioning. Proceedings of the VLDB
Endowment (PVLDB) 2012, vol.5(9):860-871 /
(VLDB) 2012.
¡¡
-
Zhenghua
Xu, Rui Zhang,
Ramamohanarao
Kotagiri, Udaya
Parampalli.
An Adaptive Algorithm for Online Time Series
Segmentation with Error Bound Guarantee.
15th International Conference on Extending
Database Technology (EDBT) 2012.
¡¡
-
Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin,
Yuan Xue.
The Min-dist
Location Selection Query. IEEE
International Conference on Data Engineering
(ICDE) 2012.
¡¡
-
Rui Zhang, Jianzhong Qi, Dan Lin, Wei Wang,
Raymond Chi-Wing Wong.
A Highly Optimized Algorithm for Continuous
Intersection Join Queries over Moving Objects,
VLDB Journal, 21(4): 561-586, 2012.
¡¡
-
Dan Lin, Christian Jensen, Rui Zhang, Lu Xiao,
Jiaheng Lu.
A Moving Object Index for Efficient Query
Processing with Peer-Wise Location Privacy,
Proceedings of the VLDB Endowment (PVLDB)
2011, vol.5 / (VLDB) 2012.
slides
¡¡
-
Sarana
Nutanong,
Egemen
Tanin,
Jie Shao, Rui Zhang,
and Kotagiri
Ramamohanarao,
Continuous Detour Queries in Spatial Networks,
IEEE Transactions on Knowledge and Data
Engineering (TKDE), 24(7): 1201-1215, 2012.
¡¡
-
Alex Hindle,
Jie Shao, Dan Lin,
Jiaheng Lu, Rui
Zhang.
Clustering Web Video Search Results based on
Integration of Multiple Features. World
Wide Web Journal (WWWJ), 14(1): 53-73, 2011.
¡¡
-
Rui Zhang, Martin Stradling.
The HV-tree: a Memory
Hierarchy Aware Version Index.
Proceedings of the VLDB Endowment (PVLDB),
3(1): 397-408, 2010.
slides
¡¡
-
Rui Zhang, H. V. Jagadish, Bing Tian Dai,
Kotagiri
Ramamohanarao.
Optimized Algorithms for Predictive Range and
KNN Queries on Moving Objects.
Information Systems, 35(8): 911-932, 2010.
¡¡
-
Mohammed Eunus Ali,
Egemen
Tanin, Rui Zhang,
Lars Kulik.
A Motion-Aware Approach for Efficient Evaluation
of Continuous Queries on 3D Object Databases,
VLDB Journal, 19(5): 603-632, 2010.
¡¡
-
Rui Zhang, Nick Koudas,
Beng Chin
Ooi,
Divesh Srivastava,
Pu Zhou.
Streaming Multiple Aggregations Using Phantoms,
VLDB Journal, 19(4): 557-583, 2010.
¡¡
-
Tanzima
Hashem, Lars Kulik, Rui Zhang.
Privacy Preserving Group Nearest Neighbor
Queries, EDBT 2010.
¡¡
-
Xiaoyan
Liu, Xindong Wu,
Huaiqing Wang, Rui
Zhang, James Bailey,
Kotagiri
Ramamohanarao
.
Mining Distribution Change in Stock Order
Streams, ICDE 2010 (short paper).
¡¡
-
Sarana
Nutanong, Rui Zhang,
Egemen
Tanin, Lars Kulik.
Analysis and Evaluation of V*-kNN:
An Efficient Algorithm for Moving
kNN Queries,
VLDB Journal, 19(3): 307-332, 2010.
Slides
¡¡
-
Sarana
Nutanong,
Egemen
Tanin, Rui Zhang.
Incremental Evaluation of Visible Nearest
Neighbor Queries. IEEE Transactions on
Knowledge & Data Engineering (TKDE), 22(5):
665-681, 2010.
¡¡
-
Sarana
Nutanong, Rui Zhang,
Egemen
Tanin, Lars Kulik.
V*-kNN:
an Efficient
Algorithm for Moving k Nearest Neighbor Queries.
(Demo) International Conference on Data
Engineering (ICDE), Shanghai, China, 2009.
¡¡
-
Sarana
Nutanong, Rui Zhang,
Egemen
Tanin, Lars Kulik.
The V*-Diagram: A Query Dependent Approach to
Moving KNN Queries. Proceedings of the
VLDB Endowment (VLDB), 1, 1095-1106, 2008.
Slides
Source code.
¡¡
-
David Lomet,
Mingsheng Hong,
Rimma Nehme, Rui
Zhang.
Transaction Time Indexing with Version
Compression. Proceedings of the VLDB
Endowment (VLDB), 1, 870-881, 2008.
¡¡
-
Rui Zhang, Dan Lin,
Kotagiri
Ramamohanarao, Elisa
Bertino.
Continuous Intersection Joins Over Moving
Objects. International Conference on Data
Engineering (ICDE), Cancun, Mexico, 2008.
Slides
¡¡
-
Mohammed Eunus Ali,
Rui Zhang, Egemen
Tanin, Lars Kulik.
A Motion-Aware Approach to Continuous Retrieval
of 3D Objects. International Conference
on Data Engineering (ICDE), Cancun, Mexico,
2008.
Slides
¡¡
-
Anthony Tung, Rui Zhang, Nick
Koudas,
Beng Chin
Ooi.
Similarity Search: A Matching Based Approach.
International Conference on Very Large Data
Bases (VLDB), Seoul, 2006.
Slides
¡¡
-
Christian S. Jensen, Dan Lin,
Beng Chin
Ooi, Rui Zhang.
Effective Density Queries of Continuously Moving
Objects. International Conference on Data
Engineering (ICDE), Atlanta, 2006.
¡¡
-
Rui Zhang, Nick Koudas,
Beng Chin
Ooi,
Divesh Srivastava.
Multiple Aggregations Over Data Streams.
ACM SIGMOD International Conference on
Management of Data (SIGMOD), Baltimore,
2005.
Slides
¡¡
-
Rui Zhang, Panos
Kalnis,
Beng Chin
Ooi, Kian-Lee Tan.
Generalized Multi-dimensional Data Mapping and
Query Processing. ACM Transactions on
Data Base Systems (TODS), 30(3): 661-697,
2005.
¡¡
-
H.V. Jagadish, Beng
Chin Ooi, Kian-Lee
Tan, Cui Yu, Rui Zhang.
iDistance: An
Adaptive B+-tree Based Indexing Method for
Nearest Neighbor Search. ACM Transactions
on Data Base Systems (TODS), 30(2), 364-397,
2005.
¡¡
-
Nick Koudas,
Beng Chin
Ooi, Kian-Lee Tan,
Rui Zhang.
Approximate NN queries on Streams with
Guaranteed Error/performance Bounds.
International Conference on Very Large Data
Bases (VLDB), Toronto, 2004.
Slides
¡¡
-
Rui Zhang, Beng Chin
Ooi, Kian-Lee Tan.
Making the Pyramid Technique Robust to Query
Types and Workload. International
Conference on Data Engineering (ICDE),
Boston, 2004.
Slides
|
¡¡ |
Selected Professional Activities
Full list
-
2025: Competition Chair for ACM Web Conference
2025
-
2021: Publicity Chair for ACM SIGSPATIAL
International Conference on Advances in
Geographic Information Systems (SIGSPATIAL) 2021
-
2020: PC member of ICDE, PVLDB, Web Conference
(WWW), Associate Editor of World Wide Web
Journal
-
2019: PC member of ICDE, PVLDB, Web Conference
(WWW), AAAI, DASFAA
-
2018: PC member of ICDE, General Chair of ADC,
CIKM Senior PC
-
2017: CIKM Senior PC
-
2016: Associate Editor of Distributed and
Parallel Databases, PC member of MDM, IEEE
BigDataSE
-
2015: CIKM Local Co-Chair, PC member of SIGMOD,
General Chair of
ADC 2015 (co-located with SIGMOD).
-
2014: ICDE Industry Track PC member, SIGMOD
Exhibits Co-Chair.
-
2013: Program Committee Co-Chair for
Australasian Database Conference 2013; Demo
Co-Chair of ICDE; PC member of SIGMOD, ICDE;
Publication Co-Chair of
ApWeb; WISE Demo Chair.
-
2012: Program Committee Co-Chair for
Australasian Database Conference 2012, PC
member of ICDE, VLDB, Vice Chair of ACM
SIGSPATIAL Australia Chapter.
-
2011: PC member of ICDE, DASFAA
-
2010: Review board of Proceedings of the VLDB
Endowment; PC member of KDD, CIKM, DASFAA
-
2009: Review board of Proceedings of the VLDB
Endowment; PC member of ICDE, DASFAA
-
2008: Review board of Proceedings of the VLDB
Endowment; DASFAA
-
2007: PC member of SIGMOD, DASFAA
-
Reviewer for VLDB Journal, ACM Trans. on
Database Systems, IEEE Trans. on Knowledge and
Data Engineering, IEEE Trans. on Computers,
Information Systems
|
¡¡ |
Research Interests and Projects
¡¡
-
Big Data analytics
-
Artificial Intelligence (AI),
Machine Learning
-
Spatial and temporal data
management, including
high-dimensional data and moving
object management
-
The
Geographic Knowledge Base
Project
|
¡¡ |
|
Research Grants
-
2013 - 2015 ARC Discovery $275,000
-
2013 - 2015 ARC Discovery $452,000
-
2013 - 2016 ARC Future Fellow $564,747 +
$200,000
-
2008 - 2011 ARC Discovery $590,000
-
2008 - 2010 ARC Discovery $234,000
-
2008, Melbourne Early Career Researcher (ECR)
Grant. $10,000
-
2007, Melbourne Early Career Researcher (ECR)
Grant. $50,000
|
¡¡ |
Released Code and Datasets
|
¡¡ |
Patent
-
US patent: with Divesh
Srivastava and Nick Koudas.
System and method for managing data streams, US
patent number 7,631,074,
Issuing date: Dec 8, 2009
|
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