Research
Selected publications
Full list
IR:
Large Language Models,
Dialogue Systems (Chatbot),
Recommendation, Search
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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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AutoAlign: Fully Automatic and Effective
Knowledge Graph Alignment enabled by Large Language Models,
IEEE Transactions on Knowledge and
Data Engineering (TKDE),
2024.
¡¡
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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.
¡¡
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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.
¡¡
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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.
¡¡
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Yunxiang Zhao,
Jianzhong Qi, and Rui Zhang.
CBHE:
Corner-based Building Height Estimation for Complex Street Scene
Images. The Web Conference (WWW), 2019.
¡¡
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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).
¡¡
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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.
¡¡
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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).
¡¡
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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.
¡¡
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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).
¡¡
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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.
¡¡
-
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 ¡¡
-
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.
¡¡
-
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.
¡¡
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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.
¡¡
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Hao Wu,
Junhao Gan, Rui Zhang.
Learning
Based Distributed Tracking. 26th ACM SIGKDD Conference on
Knowledge Discovery and Data Mining (KDD) 2020.
¡¡
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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.
¡¡
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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.
¡¡
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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
¡¡
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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.
¡¡
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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.
¡¡
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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
¡¡
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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
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¡¡
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Selected Professional Activities
Full list
- 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
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¡¡
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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
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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
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¡¡
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Released Code and Datasets
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¡¡
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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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