Rui  Zhang   (Rui is pronounced as Ray)

　

Email:        x@y
                   where  x = rayteam  and  y = yeah.net (preferred)
                   or where  x = rui.zhang  and  y = ieee.org
LinkedIn:   Click here 

　

General Information

Dr Rui Zhang is an internationally leading researcher in the area of big data, data mining and machine learning. He is a Distinguished Professor at Huazhong University of Science and Technology, Visiting Professor at Tsinghua University and was a Professor at the School of Computing and Information Systems of the University of Melbourne. Dr Zhang has won several awards including the prestigious Future Fellowship by the Australian Research Council in 2012, Chris Wallace Award for Outstanding Research by the Computing Research and Education Association of Australasia (CORE) in 2015, and Google Faculty Research Award in 2017. His inventions have been adopted by major IT companies such as Microsoft, Amazon and AT&T. Dr Rui Zhang obtained his Bachelor's degree from Tsinghua University in 2001, PhD from National University of Singapore in 2006, and has then started as a faculty member in The University of Melbourne since 2007. Before joining the University of Melbourne, he has been a visiting research scientist at AT&T labs-research in New Jersey and at Microsoft Research in Redmond, Washington. He has also been a regular visiting researcher at Microsoft Research Asia in Beijing. Dr Zhang's research interests include big data and AI, particularly in areas of recommendation systems, knowledge bases, chatbot, spatial and temporal data analytics, moving object management and data streams.

　

Research  

Selected publications         Full list      

       IR: Large Language Models, Dialogue Systems (Chatbot), Recommendation, Search

  1. 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.
    　
  2. 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.
    　
  3. 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.
    　
  4. 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.
    　
  5. 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)
    　
  6. Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong, Multimodal Pretraining and Generation for Recommendation: A Tutorial, The Web Conference 2024.
    　
  7. 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)
    　
  8. 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.
    　
  9. 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.
    　
  10. 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.
    　
  11. 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 1–21, 2024.
    　
  12. 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.
    　
  13. 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.
    　
  14. 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.
    　
  15. 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.
    　
  16. 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.
    　
  17. 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.
    　
  18. 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.
    　
  19. 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.
    　
  20. 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
    　
  21. 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
    　
  22. 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 960–970.
    　
  23. 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 876–886.
    　
  24. 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.
    　
  25. 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.
    　
  26. 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.
    　
  27. 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 1075–1083.
    　
  28. 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 1057–1065.
    　
  29. 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.
    　
  30. 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.
    　
  31. Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry. Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Computing Surveys, 55(12), 1–30, 2023.
    　
  32. 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.
    　
  33. 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)
    　
  34. 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.
    　
  35. 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.
    　
  36. 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)
    　
  37. 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)
    　
  38. 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.
    　
  39. 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)
    　
  40. 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.
    　
  41. 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.
    　
  42. 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.
    　
  43. 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), 1143–1168, 2022. (source code)
    　
  44. 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.
    　
  45. 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 2906–2915.
    　
  46. 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.
    　
  47. 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.
    　
  48. 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.
    　
  49. 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.
    　
  50. 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.
    　
  51. 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
    　
  52. 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
    　
  53. 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.
    　
  54. 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.
    　
  55. 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.
    　
  56. 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.
    　
  57. 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.
     　
  58. 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.
     　
  59. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. KDGAN: Knowledge Distillation with Generative Adversarial Networks, 32nd Conference on Neural Information Processing Systems (NIPS) 2018.
     　
  60. 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.
     　
  61. 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.
     　
  62. 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.
     　
  63.   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
     　
  64. 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
     　
  65. 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.
    　
  66. 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
    　
  67. 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.
    　
  68.  Yimeng Dai, Rui Zhang, Jianzhong Qi, Automatic Webpage Briefing. Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE) 2021.
    　
  69.  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.
    　
  70. 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.
    　
  71. 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.
    　
  72. 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.
    　
  73. 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.
    　
  74. 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.
     　
  75. 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.
     　
  76. 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.
     　
  77. Yunxiang Zhao, Jianzhong Qi, and Rui Zhang. CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. The Web Conference (WWW), 2019.
     　
  78. 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).
     　
  79. 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.
     　
  80. 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.
     　
  81. 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).
     　
  82. 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.
    　
  83. Weihao Cheng, Sarah Erfani, Rui Zhang, Kotagiri Ramamohanarao. Predicting Complex Activities from Ongoing Multivariate Time Series. International Joint Conference on Artificial Intelligence (IJCAI), 2018.
     　
  84. 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).
    　
  85. 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
     　
  86. 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).
     　
  87. 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).
     　
  88. 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.
     　
  89. 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
    　
  90. 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.
    　
  91. 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.
    　
  92. 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.
    　
  93. 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.
    　
  94. Hao Wu, Junhao Gan, Rui Zhang. Learning Based Distributed Tracking. 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020.
    　
  95. 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.
    　
  96. 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.
    　
  97. 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
     　
  98. 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.
     　
  99. 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.
     　
  100. 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 – 922, 2019. code
     　
  101. 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, 375–416, 2019.
     　
  102. 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, 275–293, 2019.
     　
  103. 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.
     　
  104. 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).
    　
  105. 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.
     　
  106. 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.
     　
  107. 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.
     　
  108. 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.
     　
  109. 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).
     　
  110. 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.
     　
  111. Jin Huang, Rui Zhang, and Jeffrey Xu Yu. Scalable Hypergraph Processing, The IEEE International Conference on Data Mining (ICDM), 2015. (Short)
     　
  112. 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.
     　
  113. 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.
    　
  114. Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang, K-Nearest Neighbor Temporal Aggregate Queries, EDBT 2015.
     　
  115. 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.
     　
  116. 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.
     　
  117. 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.
     　
  118. 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.
     　
  119. 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.
     　
  120. 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
     　
  121. 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.
     　
  122. 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.
     　
  123. 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
     　
  124. 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.
     　
  125. 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
     　
  126. 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
     　
  127. Tanzima Hashem, Lars Kulik, Rui Zhang. Countering Overlapping Rectangle Privacy Attack for Moving kNN Queries. Information Systems. 38(3): 430-453, 2013.
     　
  128. Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen. RankTopic: Ranking Based Topic Modeling. IEEE International Conference on Data Mining (ICDM) 2012.
     　
  129. 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.
     　
  130. 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.
     　
  131. Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue. The Min-dist Location Selection Query. IEEE International Conference on Data Engineering (ICDE) 2012.
     　
  132. 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.
     　
  133. 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
     　
  134. 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.
     　
  135. 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.
     　
  136. 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
     　
  137. 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.
     　
  138. 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.
     　
  139. Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou. Streaming Multiple Aggregations Using Phantoms, VLDB Journal, 19(4): 557-583, 2010.
     　
  140. Tanzima Hashem, Lars Kulik, Rui Zhang. Privacy Preserving Group Nearest Neighbor Queries, EDBT 2010.
     　
  141. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao . Mining Distribution Change in Stock Order Streams, ICDE 2010 (short paper).
     　
  142. 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
     　
  143. 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.
     　
  144. 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.
    　
  145. 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.
     　
  146. David Lomet, Mingsheng Hong, Rimma Nehme, Rui Zhang. Transaction Time Indexing with Version Compression. Proceedings of the VLDB Endowment (VLDB), 1, 870-881, 2008.
     　
  147. Rui Zhang, Dan Lin, Kotagiri Ramamohanarao, Elisa Bertino. Continuous Intersection Joins Over Moving Objects. International Conference on Data Engineering (ICDE), Cancun, Mexico, 2008. Slides
     　
  148. 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
     　
  149. 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
     　
  150. 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.
     　
  151. 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
     　
  152. 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.
     　
  153. 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.
     　
  154. 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
     　
  155. 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

　

Research Students I have Worked with

Name

Program

Topic

Time

Main Outcomes

Employment

Intern

Rongxin Zhu

Postgrad

　

2020-

　

　

　

Hao Wu

Postgrad

2019-

KDD, SIGMOD

Anirudh Belwalkar

Postgrad

 

2019-

 

 

 

Shiquan Yang

Postgrad

Chatbot / Dialog systems

2019-

EMNLP

Yixin Su

PhD

Recommendation

2018-

AAAI

Xinting Huang

PhD

Chatbot / Dialog systems

2018-

AAAI, ACL

Yunxiang Zhao

PhD

2017-

WWW, ICDM

Ang Li

PhD

Image inpainting

2017-

IJCAI, ECCV

Bayu Distiawan Trisedya

PhD

Knowledge base

2017-

ACLx2, AAAIx2

U. of Melbourne

Yimeng Dai

PhD

Information extraction

2017-

WSDM, JCDL, ICDE

U. of Melbourne

Xiaojie Wang

PhD

Recommendation

2016-2020

TKDE, PAKDD, NIPS, ICML, TPAMI, WSDM

Amazon

Amazon

Weihao Cheng

PhD

Human Activity Recognition

2015-2018

PAKDD, AAAI, IJCAI

Microsoft

Microsoft

Yu Sun

PhD

Location Based Social Network

2013-2017

ICDE, WWW, KDD, UbiComp, TOIS

Twitter (US)

Microsoft
Google (US)

Jiazhen He

PhD

Mining MOOC Data

2013-2016

AAAIx2

U. of Melbourne

Saad Aljubayrin

PhD

Safest Route Problem

2012-2016

ICDE, VLDBJ

Shaqra University

Aalborg U.

Yuan Xue

PhD

GPS Trajectory Mining

2012-2015

ICDEx2, WWWJ, VLDBJ

startup

Jin Huang

PhD

Advanced Similarity Analysis on Big Data

2012-2015

ICDEx2, TODS, VLDBJ, TPDS, ICDM

Google (US)

Zeyi Wen

PhD

Improving Data Mining by GPU

2011-2015

CIKM, ICDM, ICDE, WWWJ

National U. of Singapore

Baidu

Jianzhong Qi

PhD

Correlating large datasets

2010-2014

VLDBJ, ICDE, WWWJx2, TODS, IS, PVLDB, ICDM

U. of Melbourne

Microsoft

Dana Zhang

PhD

Role based Access Control

2006-2010

SACMAT, ACSAC

Google (US)

Google

Mohammed Eunus Ali

PhD

3D objects retrieval

2006-2010

ICDE,VLDBJ

BUET

Sarana Nutanong

PhD

V*-diagram

2006-2009

VLDB, TKDE, VLDBJ

U. of Maryland

　

Zhuowei Zhao

Master

Learning shortest path distance

2017-

Chenxu Zhao

Master

Web mining

2016-2019

WISE

Chuandong Yin

Master

Chatbot policy learning

2016-2018

PAKDD, EMNLP

Wenkai Jiang

Master

Hypergraph analysis

2015-2019

TKDE

Yiqing Zhang

Master

Citation learning

2015-2018

EMNLP

Han Li

Master

Activity recognition

2014-2017

Gitansh Khirbat

Master

Relation extraction

2014-2017

Xiaojie Lin

Master

Linking Twits with News

2014-2016

Zhenghua Xu

Master

Approximating Time Series Data

2011-2012

EDBT, ICDE

Oxford U. (PhD)

Martin Stradling

Master

Spatio-temporal indexing

2008-2012

Pro. Patent, VLDB

Mei Ma

Master

Sequence indexing

2007-2010

WestPac

Pu Zhou

Master

Data streams

2007-2009

VLDBJ

Elizabeth Antoine

Master

Spatial join

2007-2009

ADC

Katsuya Noguchi

Honors

Detour Query

2009

　

Oxford U.(postgrad)

　

Alex Hindle

Honors

Video clustering

2009

WWWJ

IBM (Australia)

　

　
　

　

www.ruizhang.info