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ORCIDRui Zhang 0003
Person information
- affiliation (former): University of Melbourne, School of Computing and Information Systems, Australia
Other persons with the same name
- Rui Zhang — disambiguation page
- Rui Zhang 0001
![[0000-0002-6108-635X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6108-635X")
— University of Freiburg, Department of Microsystems Engineering (IMTEK), Germany - Rui Zhang 0002 — Chinese Academy of Sciences (CAS), State Key Laboratory of Information Security, China (and 2 more)
- Rui Zhang 0004 — University of Arizona (and 1 more)
- Rui Zhang 0005 — Northwest University, Department of Mathematics, Xi'an, China (and 2 more)
- Rui Zhang 0006 — Chinese University of Hong Kong, Shenzhen, Hong Kong (and 2 more)
- Rui Zhang 0007 — University of Delaware, Newark, DE, USA (and 2 more)
- Rui Zhang 0008 — Alumni ETH Zürich
- Rui Zhang 0009 — The City University of New York, USA
- Rui Zhang 0010 — Ryerson University, Ryerson Multimedia Research Laboratory, Toronto, Canada
- Rui Zhang 0011 — Queen's University
- Rui Zhang 0012 — Xi'an Jiaotong-Liverpool University, Department of Mathematical Sciences, Suzhou, China (and 2 more)
- Rui Zhang 0013 — Shanghai University
- Rui Zhang 0014 — University of Arizona, College of Optics, Tucson, AZ, USA
- Rui Zhang 0015 — University of South Florida, Tampa, FL, USA
- Rui Zhang 0016 — Chinese Academy of Sciences (CAS), Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China
- Rui Zhang 0017 — Northwestern Polytechnical University, Center for OPTical IMagery Analysis and Learning (OPTIMAL), Xi'an, China
- Rui Zhang 0018 — University of Electronic Science and Technology of China, Key Laboratory for Neuroinformation of Ministry of Education, Chengdu, China
- Rui Zhang 0019 — Chinese Academy of Sciences, Key Laboratory of Health Informatics, Shenzhen, China (and 1 more)
- Rui Zhang 0020 — New York University, Department of Electrical and Computer Engineering, NY, USA
- Rui Zhang 0021 — Southeast University, School of Automation, Nanjing, China (and 1 more)
- Rui Zhang 0022 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Rui Zhang 0023 — Queen Mary University of London, School of Electronic Engineering and Computer Science, UK
- Rui Zhang 0024 — Zhejiang University, College of Electronic Engineering and Information Science, Hangzhou, China (and 1 more)
- Rui Zhang 0025 — University of Colorado Boulder, Leeds School of Business, CO, USA (and 1 more)
- Rui Zhang 0026 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China (and 1 more)
- Rui Zhang 0027 — University of Erlangen-Nuremburg, Chair of Digital Health, Erlangen, Germany (and 1 more)
- Rui Zhang 0028 — University of Minnesota, Institute for Health Informatics / Department of Surgery, Minneapolis, MN, USA
- Rui Zhang 0029 — Zhejiang University, School of Mathematical Sciences, Hangzhou, China
- Rui Zhang 0030 — Chongqing University, College of Computer Science, China
- Rui Zhang 0031 — City University of Hong Kong, Department of Computer Science, Hong Kong
- Rui Zhang 0032 — Tianjin University, School of Environmental Science and Engineering, China
- Rui Zhang 0033 — China Research Institute of Radiowave Propagation, National Key Laboratory of Electromagnetic Environment, Qingdao, China
- Rui Zhang 0034 — Xidian University, School of Mathematics and Statistics, Xi'an, China (and 1 more)
- Rui Zhang 0035 — University of Arizona, Tucson, USA
- Rui Zhang 0036 — University of Oxford, UK
- Rui Zhang 0037 — Penn State University, Computer Science and Engineering Department, University Park, PA, USA (and 2 more)
- Rui Zhang 0038 — Army Engineering University of PLA, Nanjing, China
- Rui Zhang 0039 — Xiamen University of Technology, Department of Industrial Engineering and Management, China (and 2 more)
- Rui Zhang 0040 — Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China
- Rui Zhang 0041 — Central South University, School of Information Science and Engineering, Changsha, China
- Rui Zhang 0042 — University of Sydney, School of Electrical and Information Engineering, Camperdown, NSW, Australia
- Rui Zhang 0043 — Jilin University, MOE Key Laboratory of Bionic Engineering, Changchun, China
- Rui Zhang 0044 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Rui Zhang 0045 — Xidian University, School of Mathematics and Statistics, Xi'an, China (and 1 more)
- Rui Zhang 0046 — South China University of Technology, Department of Software Engineering, Guangzhou, China
- Rui Zhang 0047 — Beihang University, School of Astronautics, Beijing, China
- Rui Zhang 0048 — Cadence Design Systems, Inc., San Jose, CA, USA (and 1 more)
- Rui Zhang 0049 — Nanjing University of Information Science and Technology, School of Automation, Jiangsu Key Laboratory of Big Data Analysis Technology, China
- Rui Zhang 0050 — Ocean University of China, College of Computer Science and Technology, Qingdao, China (and 1 more)
- Rui Zhang 0052 — Southwest Jiaotong University, Department of Surveying and Geo-Informatics, Chengdu, China
- Rui Zhang 0053 — Georgia Institute of Technology, H. Milton Stewart School of School of Industrial and Systems Engineering, Atlanta, Georgia, USA
- Rui Zhang 0054 — Chinese Academy of Sciences, Institute of Optics and Electronics, Chengdu, China (and 1 more)
- Rui Zhang 0055 — University of Southern Denmark, Odense, Denmark
- Rui Zhang 0056 — Meituan, Beijing, China
- Rui Zhang 0057 — University of New South Wales, Sydney, Australia
- Rui Zhang 0058 — Army Engineering University, Shijiazhuang, China
- Rui Zhang 0059 — Southwestern University of Finance and Economics, School of Business Administration, Chengdu, China
- Rui Zhang 0060 — Hebei Vocational College of Rail Transportation, Hebei, China
- Rui Zhang 0061 — Chinese Academy of Sciences, National Time Service Center, Xi'an, China
- Rui Zhang 0062 — North University of China, Key Laboratory of Instrumentation Science and Dynamic Measurement, Taiyuan, China
- Rui Zhang 0063 — Shenyang Jianzhu University, Information and Control Engineering Faculty, Shenyang, China
- Rui Zhang 0064 — Zunyi Normal College, School of Information Engineering, Zunyi, China
- Rui Zhang 0065 — University of Edinburgh, Edinburgh, UK
- Rui Zhang 0066 — Wuhan University of Technology, Hubei Key Laboratory of Transportation Internet of Things, Wuhan, China
- Rui Zhang 0067 — The PLA University of Science and Technology, College of Command Information System, Nanjing, China
- Rui Zhang 0068 — University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Rui Zhang 0069 — Beihang University, Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China (and 1 more)
- Rui Zhang 0070 — University of Electronic Science and Technology of China, Yangtze Delta Region Institute, Huzhou, China
- Rui Zhang 0071 — Shandong University of Science and Technology, College of Electronic and Information Engineering, Qingdao, China
- Rui Zhang 0072 — Shandong University of Finance and Economics, School of Computer Science and Technology, Jinan, China
- Rui Zhang 0073 — The Ninth People's Hospital of Chongqing, Chongqing, China
- Rui Zhang 0074 — Heilongjiang Bayi Agricultural University, Heilongjiang, China
- Rui Zhang 0075 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Rui Zhang 0076 — Jiangsu University, School of Automotive and Traffic Engineering, Zhenjiang, China
- Rui Zhang 0077 — National University of Defense Technology, Changsha, China
- Rui Zhang 0078 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, China
- Rui Zhang 0079 — Huawei Hong Kong Theory Lab
- Rui Zhang 0080 — Hong Kong Polytechnic University, Department of Computing, China (and 1 more)
- Rui Zhang 0081 — School of Cyber Engineering, Xidian University, Xi'an, China
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Journal Articles
- 2024
[j81]Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang:
Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. 56(5): 130:1-130:21 (2024)- [j80]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 Comput. Surv. 56(11): 293:1-293:39 (2024) - [j79]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 Trans. Knowl. Data Eng. 36(6): 2357-2371 (2024) - 2023
- [j78]Caesar Wu, Rui Zhang, Ramamohanarao Kotagiri, Pascal Bouvry:
Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Comput. Surv. 55(12): 250:1-250:30 (2023) - [j77]Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang:
Precondition and effect reasoning for action recognition. Comput. Vis. Image Underst. 232: 103691 (2023) - [j76]Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3904-3917 (2023) - [j75]Yunxiang Zhao, Jianzhong Qi, Bayu Distiawan Trisedya, Yixin Su, Rui Zhang, Hongguang Ren:
Learning Region Similarities via Graph-Based Deep Metric Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10237-10250 (2023) - [j74]Bayu Distiawan Trisedya, Jianzhong Qi, Hai-Tao Zheng, Flora D. Salim, Rui Zhang:
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning. IEEE Trans. Knowl. Data Eng. 35(12): 13070-13082 (2023) - [j73]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 Trans. Inf. Syst. 41(4): 108:1-108:26 (2023) - 2022
- [j72]Bayu Distiawan Trisedya, Jianzhong Qi, Wei Wang, Rui Zhang:
GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7521-7533 (2022) - [j71]Shengzhe Zhao, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang:
Action-ViT: Pedestrian Intent Prediction in Traffic Scenes. IEEE Signal Process. Lett. 29: 324-328 (2022) - [j70]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. IEEE Trans. Image Process. 31: 6032-6047 (2022) - [j69]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. 34(3): 1053-1065 (2022) - [j68]Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang:
Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. 34(7): 3182-3195 (2022) - [j67]Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi:
A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning. VLDB J. 31(5): 1143-1168 (2022) - [j66]Xin Wang, Rui Zhang, Young-Koo Lee:
Special Issue of Graph Data Management, Mining, and Applications (APWeb-WAIM 2020). World Wide Web 25(3): 1373-1375 (2022) - 2021
- [j65]Ning Zhang, Rui Zhang, Zhiliang Pang, Xue Liu, Wenfei Zhao:
Mining Express Service Innovation Opportunity From Online Reviews. J. Organ. End User Comput. 33(6): 1-15 (2021) - [j64]Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi:
Adversarial Distillation for Learning with Privileged Provisions. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 786-797 (2021) - [j63]Daochang Chen, Wenzheng Hu, Bo Yuan, Rui Zhang, Jianqiang Wang:
Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks. IEEE Signal Process. Lett. 28: 1220-1224 (2021) - 2020
- [j62]Fuqiang Gu, Shahrokh Valaee, Kourosh Khoshelham, Jianga Shang, Rui Zhang:
Landmark Graph-Based Indoor Localization. IEEE Internet Things J. 7(9): 8343-8355 (2020) - [j61]Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang:
Packing R-trees with Space-filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability. ACM Trans. Database Syst. 45(3): 14:1-14:47 (2020) - [j60]Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang:
Efficient processing of moving collective spatial keyword queries. VLDB J. 29(4): 841-865 (2020) - 2019
- [j59]Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu:
Moving kNN query processing in metric space based on influential sets. Inf. Syst. 83: 126-144 (2019) - [j58]Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi:
Generating traffic data for any city using SMARTS simulator. ACM SIGSPATIAL Special 11(1): 22-28 (2019) - [j57]Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, Rui Zhang:
HyperX: A Scalable Hypergraph Framework. IEEE Trans. Knowl. Data Eng. 31(5): 909-922 (2019) - [j56]Tianlei Zheng, Xi Zheng, Yuqun Zhang, Yao Deng, ErXi Dong, Rui Zhang, Xiao Liu:
SmartVM: a SLA-aware microservice deployment framework. World Wide Web 22(1): 275-293 (2019) - [j55]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 22(1): 375-416 (2019) - 2018
- [j54]Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, Jiayuan He:
Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Comput. Surv. 51(3): 64:1-64:39 (2018) - [j53]Fuqiang Gu, Kourosh Khoshelham, Shahrokh Valaee, Jianga Shang, Rui Zhang:
Locomotion Activity Recognition Using Stacked Denoising Autoencoders. IEEE Internet Things J. 5(3): 2085-2093 (2018) - [j52]Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang:
Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability. Proc. VLDB Endow. 11(5): 621-634 (2018) - [j51]Xiaojie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, Rui Zhang:
Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) - [j50]Mingzhao Li, Zhifeng Bao, Timos Sellis, Shi Yan, Rui Zhang:
HomeSeeker: A visual analytics system of real estate data. J. Vis. Lang. Comput. 45: 1-16 (2018) - [j49]Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang:
Scalable and fast SVM regression using modern hardware. World Wide Web 21(2): 261-287 (2018) - 2017
- [j48]Kotagiri Ramamohanarao, Hairuo Xie, Lars Kulik, Shanika Karunasekera, Egemen Tanin, Rui Zhang, Eman Bin Khunayn:
SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. ACM Trans. Intell. Syst. Technol. 8(2): 26:1-26:22 (2017) - [j47]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Intent Prediction with Real-Time Contextual Data. ACM Trans. Inf. Syst. 35(4): 30:1-30:33 (2017) - [j46]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 J. 26(3): 373-397 (2017) - 2016
- [j45]Weichao Guo, Kang Chen, Huan Feng, Yongwei Wu, Rui Zhang, Weimin Zheng:
MARS: Mobile Application Relaunching Speed-Up through Flash-Aware Page Swapping. IEEE Trans. Computers 65(3): 916-928 (2016) - [j44]Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang:
The Moving K Diversified Nearest Neighbor Query. IEEE Trans. Knowl. Data Eng. 28(10): 2778-2792 (2016) - [j43]Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen, Yongwei Wu:
Heads-Join: Efficient Earth Mover's Distance Similarity Joins on Hadoop. IEEE Trans. Parallel Distributed Syst. 27(6): 1660-1673 (2016) - 2015
- [j42]Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, Xiaoyong Du:
MapReduce based location selection algorithm for utility maximization with capacity constraints. Computing 97(4): 403-423 (2015) - [j41]Rui Zhang, Timos K. Sellis, Yu Zheng, Mohamed F. Mokbel:
Guest Editorial: Data Management and Analysis in Location-Based Social Networks. Distributed Parallel Databases 33(2): 143-144 (2015) - [j40]Thi Nguyen, Zhen He, Rui Zhang, Phillip G. D. Ward:
Exploiting velocity distribution skew to speed up moving object indexing. Inf. Syst. 51: 72-104 (2015) - [j39]Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang:
Analysis and evaluation of the top-k most influential location selection query. Knowl. Inf. Syst. 43(1): 181-217 (2015) - [j38]Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu:
A safe region based approach to moving KNN queries in obstructed space. Knowl. Inf. Syst. 45(2): 417-451 (2015) - [j37]Li Yang, Andy Yuan Xue, Yuan Li, Rui Zhang:
Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets. EAI Endorsed Trans. Scalable Inf. Syst. 2(5): e2 (2015) - [j36]Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li:
Solving the data sparsity problem in destination prediction. VLDB J. 24(2): 219-243 (2015) - [j35]Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen, Dan Wu:
Indexable online time series segmentation with error bound guarantee. World Wide Web 18(2): 359-401 (2015) - 2014
- [j34]Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, Ge Yu:
Continuous visible k nearest neighbor query on moving objects. Inf. Syst. 44: 1-21 (2014) - [j33]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Wang Yi:
Processing Moving kNN Queries Using Influential Neighbor Sets. Proc. VLDB Endow. 8(2): 113-124 (2014) - [j32]Dana Zhang, Kotagiri Ramamohanarao, Rui Zhang, Steven Versteeg:
Efficient Graph Based Approach to Large Scale Role Engineering. Trans. Data Priv. 7(1): 1-26 (2014) - [j31]Sashi Gurung, Dan Lin, Wei Jiang, Ali R. Hurson, Rui Zhang:
Traffic Information Publication with Privacy Preservation. ACM Trans. Intell. Syst. Technol. 5(3): 44:1-44:26 (2014) - [j30]Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Xiwu Gu, Kunmei Wen:
LIMTopic: A Framework of Incorporating Link Based Importance into Topic Modeling. IEEE Trans. Knowl. Data Eng. 26(10): 2493-2506 (2014) - [j29]Rui Zhang, Jianzhong Qi, Martin Stradling, Jin Huang:
Towards a Painless Index for Spatial Objects. ACM Trans. Database Syst. 39(3): 19:1-19:42 (2014) - [j28]Phillip G. D. Ward, Zhen He, Rui Zhang, Jianzhong Qi:
Real-time continuous intersection joins over large sets of moving objects using graphic processing units. VLDB J. 23(6): 965-985 (2014) - [j27]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 17(6): 1261-1293 (2014) - 2013
- [j26]LinLin Ding, Guoren Wang, Junchang Xin, Xiaoyang Wang, Shan Huang, Rui Zhang:
ComMapReduce: An improvement of MapReduce with lightweight communication mechanisms. Data Knowl. Eng. 88: 224-247 (2013) - [j25]Tanzima Hashem, Lars Kulik, Rui Zhang:
Countering overlapping rectangle privacy attack for moving kNN queries. Inf. Syst. 38(3): 430-453 (2013) - [j24]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. Proc. VLDB Endow. 6(12): 1198-1201 (2013) - [j23]Rui Zhang, Mohamed A. Sharaf:
Activities of ACM SIGSPATIAL Australia chapter in 2012. ACM SIGSPATIAL Special 5(1): 20-21 (2013) - 2012
- [j22]Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao:
Probabilistic Voronoi diagrams for probabilistic moving nearest neighbor queries. Data Knowl. Eng. 75: 1-33 (2012) - [j21]Chunyang Ma, Rui Zhang, Xuemin Lin, Gang Chen:
DuoWave: Mitigating the curse of dimensionality for uncertain data. Data Knowl. Eng. 76: 16-38 (2012) - [j20]Thi Nguyen, Zhen He, Rui Zhang, Phillip Ward:
Boosting Moving Object Indexing through Velocity Partitioning. Proc. VLDB Endow. 5(9): 860-871 (2012) - [j19]Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, Kotagiri Ramamohanarao:
Continuous Detour Queries in Spatial Networks. IEEE Trans. Knowl. Data Eng. 24(7): 1201-1215 (2012) - [j18]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 J. 21(4): 561-586 (2012) - 2011
- [j17]Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu:
A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy. Proc. VLDB Endow. 5(1): 37-48 (2011) - [j16]Alex Hindle, Jie Shao, Dan Lin, Jiaheng Lu, Rui Zhang:
Clustering Web video search results based on integration of multiple features. World Wide Web 14(1): 53-73 (2011) - 2010
- [j15]Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong:
High-dimensional kNN joins with incremental updates. GeoInformatica 14(1): 55-82 (2010) - [j14]Cui Yu, James Bailey, Julian Montefusco, Rui Zhang, Jiling Zhong:
Enhancing the B+-tree by dynamic node popularity caching. Inf. Process. Lett. 110(7): 268-273 (2010) - [j13]Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao:
Optimized algorithms for predictive range and KNN queries on moving objects. Inf. Syst. 35(8): 911-932 (2010) - [j12]Chaoyi Pang, Rui Zhang, Qing Zhang, Junhu Wang:
Dominating sets in directed graphs. Inf. Sci. 180(19): 3647-3652 (2010) - [j11]Rui Zhang, Martin Stradling:
The HV-tree: a Memory Hierarchy Aware Version Index. Proc. VLDB Endow. 3(1): 397-408 (2010) - [j10]Sarana Nutanong, Egemen Tanin, Rui Zhang:
Incremental Evaluation of Visible Nearest Neighbor Queries. IEEE Trans. Knowl. Data Eng. 22(5): 665-681 (2010) - [j9]Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik:
Analysis and evaluation of V*-kNN: an efficient algorithm for moving kNN queries. VLDB J. 19(3): 307-332 (2010) - [j8]Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou:
Streaming multiple aggregations using phantoms. VLDB J. 19(4): 557-583 (2010) - [j7]Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars Kulik:
A motion-aware approach for efficient evaluation of continuous queries on 3D object databases. VLDB J. 19(5): 603-632 (2010) - 2009
- [j6]Egemen Tanin, Rui Zhang, Lars Kulik:
Spatio-temporal database research at the University of Melbourne. SIGMOD Rec. 38(3): 35-39 (2009) - 2008
- [j5]David B. Lomet, Mingsheng Hong, Rimma V. Nehme, Rui Zhang:
Transaction time indexing with version compression. Proc. VLDB Endow. 1(1): 870-881 (2008) - [j4]Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik:
The V*-Diagram: a query-dependent approach to moving KNN queries. Proc. VLDB Endow. 1(1): 1095-1106 (2008) - 2006
- [j3]Dan Lin, Rui Zhang, Aoying Zhou:
Indexing Fast Moving Objects for kNN Queries Based on Nearest Landmarks. GeoInformatica 10(4): 423-445 (2006) - 2005
- [j2]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 Trans. Database Syst. 30(2): 364-397 (2005) - [j1]Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan:
Generalized multidimensional data mapping and query processing. ACM Trans. Database Syst. 30(3): 661-697 (2005)
Conference and Workshop Papers
- 2024
- [c150]Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang:
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. AAAI 2024: 8697-8706 - [c149]Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Rui Zhang, Hai-Tao Zheng:
Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm. ICASSP 2024: 5270-5274 - [c148]Xin Tang, Chengliang Chai, Dawei Zhao, Haohai Ma, Yong Zheng, Zhenyong Fan, Xin Wu, Jiaquan Zhang, Rui Zhang, Duanshun Li, Yi He, Keji Huang, Guangbin Meng, Yidong Wang, Yuefeng Zhou, Tao Tao, Lirong Jian, Jiwu Shu, Yuping Wang, Ye Yuan, Guoren Wang, Guoliang Li:
Separation Is for Better Reunion: Data Lake Storage at Huawei. ICDE 2024: 5142-5155 - [c147]Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu:
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) 2024: 207-218 - [c146]Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan:
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM 2024: 266-275 - [c145]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. WSDM 2024: 882-890 - [c144]Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang:
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. WSDM 2024: 939-948 - [c143]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) 2024: 867-870 - [c142]Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) 2024: 1272-1275 - [c141]Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao:
PMG : Personalized Multimodal Generation with Large Language Models. WWW 2024: 3833-3843 - 2023
- [c140]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. AAAI 2023: 4435-4443 - [c139]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. AAAI 2023: 9918-9926 - [c138]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM 2023: 1917-1927 - [c137]Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang:
Personalized Diversification for Neural Re-ranking in Recommendation. ICDE 2023: 802-815 - [c136]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE 2023: 3883-3884 - [c135]Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang:
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. IJCAI 2023: 2059-2067 - [c134]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. KDD 2023: 4649-4660 - [c133]Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu:
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD 2023: 5225-5236 - [c132]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 Multimedia 2023: 6548-6557 - [c131]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. NeurIPS 2023 - [c130]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [c129]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang:
Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys 2023: 161-170 - [c128]Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [c127]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. SIGIR 2023: 1498-1507 - [c126]Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang:
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR 2023: 2006-2010 - [c125]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. WSDM 2023: 1057-1065 - [c124]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. WSDM 2023: 1075-1083 - [c123]Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang:
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) 2023: 490-494 - [c122]Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang:
Recommendation with Causality enhanced Natural Language Explanations. WWW 2023: 876-886 - [c121]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. WWW 2023: 960-970 - 2022
- [c120]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. AAAI 2022: 8945-8953 - [c119]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) 2022: 4918-4935 - [c118]Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang:
Numerical Feature Representation with Hybrid N-ary Encoding. CIKM 2022: 2984-2993 - [c117]Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang:
LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM 2022: 3903-3907 - [c116]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. ICDE 2022: 727-740 - [c115]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [c114]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. IJCAI 2022: 5512-5520 - [c113]Borun Chen, Rongyi Sun, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
LordBERT: Embedding Long Text by Segment Ordering with BERT. IJCNN 2022: 1-8 - [c112]Yifeng Ding, Yimeng Dai, Hai-Tao Zheng, Rui Zhang:
GiTS: Gist-driven Text Segmentation. IJCNN 2022: 1-8 - [c111]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. KDD 2022: 252-262 - [c110]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD 2022: 1676-1686 - [c109]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. KDD 2022: 2997-3006 - [c108]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. SIGIR 2022: 814-824 - [c107]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. SIGIR 2022: 1336-1346 - [c106]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR 2022: 2692-2697 - [c105]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. SIGIR 2022: 2912-2923 - [c104]Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He:
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW 2022: 2906-2915 - 2021
- [c103]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Beneficial Feature Interactions for Recommender Systems. AAAI 2021: 4357-4365 - [c102]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Latent Reasoning for Low-Resource Question Generation. ACL/IJCNLP (Findings) 2021: 3008-3022 - [c101]Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang, Qingjun Cui:
Grouped-Attention for Content-Selection and Content-Plan Generation. EMNLP (Findings) 2021: 1935-1944 - [c100]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. ICDE 2021: 1619-1630 - [c99]Yimeng Dai, Rui Zhang, Jianzhong Qi:
Automatic Webpage Briefing. ICDE 2021: 1727-1738 - [c98]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [c97]Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. IJCAI 2021: 786-792 - [c96]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. IJCAI 2021: 3978-3984 - [c95]Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang:
WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR 2021: 624-633 - [c94]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. SIGIR 2021: 849-858 - [c93]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. SIGMOD Conference 2021: 1996-2008 - [c92]Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang, Yoshiharu Ishikawa:
Consistent and Flexible Selectivity Estimation for High-Dimensional Data. SIGMOD Conference 2021: 2319-2327 - [c91]Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi:
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. WSDM 2021: 427-435 - 2020
- [c90]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
MALA: Cross-Domain Dialogue Generation with Action Learning. AAAI 2020: 7977-7984 - [c89]Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Sentence Generation for Entity Description with Content-Plan Attention. AAAI 2020: 9057-9064 - [c88]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. ACL 2020: 660-670 - [c87]Zeyi Wen, Zeyu Huang, Rui Zhang:
Entity Extraction with Knowledge from Web Scale Corpora. ADC 2020: 173-185 - [c86]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) 2020: 728-743 - [c85]Jianzhong Qi, Wei Wang, Rui Zhang, Zhuowei Zhao:
A Learning Based Approach to Predict Shortest-Path Distances. EDBT 2020: 367-370 - [c84]Shiquan Yang, Rui Zhang, Sarah M. Erfani:
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. EMNLP (1) 2020: 1878-1888 - [c83]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Generalizable and Explainable Dialogue Generation via Explicit Action Learning. EMNLP (Findings) 2020: 3981-3991 - [c82]Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang:
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. ICDM 2020: 1424-1429 - [c81]Yimeng Dai, Rui Zhang, Jianzhong Qi:
Person Name Recognition with Fine-grained Annotation. JCDL 2020: 243-252 - [c80]Hao Wu, Junhao Gan, Rui Zhang:
Learning Based Distributed Tracking. KDD 2020: 2040-2050 - [c79]Yimeng Dai, Jianzhong Qi, Rui Zhang:
Joint Recognition of Names and Publications in Academic Homepages. WSDM 2020: 133-141 - 2019
- [c78]Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang:
Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI 2019: 297-304 - [c77]Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang:
Neural Relation Extraction for Knowledge Base Enrichment. ACL (1) 2019: 229-240 - [c76]Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Jianzhong Qi, Rui Zhang, Lars Kulik, Kotagiri Ramamohanarao:
Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. IWCTS@SIGSPATIAL 2019: 5:1-5:10 - [c75]Ronghua Lin, Chengjie Mao, Chaodan Mao, Rui Zhang, Hai Liu, Yong Tang:
SCHONA: A Scholar Persona System Based on Academic Social Network. HCC 2019: 223-232 - [c74]Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan:
DBSVEC: Density-Based Clustering Using Support Vector Expansion. ICDE 2019: 280-291 - [c73]Zeyi Wen, Dong Deng, Rui Zhang, Ramamohanarao Kotagiri:
2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance. ICDE 2019: 998-1009 - [c72]Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi:
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random. ICML 2019: 6638-6647 - [c71]Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. IJCAI 2019: 811-817 - [c70]Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang:
Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. IJCNN 2019: 1-8 - [c69]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng:
CARL: Aggregated Search with Context-Aware Module Embedding Learning. IJCNN 2019: 1-8 - [c68]Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. IJCNN 2019: 1-8 - [c67]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. IJCNN 2019: 1-8 - [c66]Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang:
LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. IJCNN 2019: 1-8 - [c65]Daochang Chen, Rui Zhang, Bo Yuan:
Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks. MDM 2019: 437-442 - [c64]Yunxiang Zhao, Jianzhong Qi, Rui Zhang:
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. WWW 2019: 2436-2447 - 2018
- [c63]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI 2018: 2143-2150 - [c62]Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Wei Wang:
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data. ACL (1) 2018: 1627-1637 - [c61]Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chuandong Yin:
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. EMNLP 2018: 1005-1010 - [c60]Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi, Kotagiri Ramamohanarao:
Studying transportation problems with the SMARTS simulator (demo paper). SIGSPATIAL/GIS 2018: 580-583 - [c59]Jianzhong Qi, Vivek Kumar, Rui Zhang, Egemen Tanin, Goce Trajcevski, Peter Scheuermann:
Continuous Maintenance of Range Sum Heat Maps. ICDE 2018: 1625-1628 - [c58]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Predicting Complex Activities from Ongoing Multivariate Time Series. IJCAI 2018: 3322-3328 - [c57]Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi:
KDGAN: Knowledge Distillation with Generative Adversarial Networks. NeurIPS 2018: 783-794 - [c56]Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang:
Citation Field Learning by RNN with Limited Training Data. PAKDD (Workshops) 2018: 219-232 - [c55]Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan:
Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. PAKDD (1) 2018: 500-512 - [c54]Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang:
A Joint Optimization Approach for Personalized Recommendation Diversification. PAKDD (3) 2018: 597-609 - [c53]Chenxu Zhao, Rui Zhang, Jianzhong Qi:
Web Page Template and Data Separation for Better Maintainability. WISE (1) 2018: 439-449 - [c52]Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang:
A Unified Processing Paradigm for Interactive Location-based Web Search. WSDM 2018: 601-609 - 2017
- [c51]Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang:
Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding. AAAI 2017: 2768-2774 - [c50]Ronghua Lin, Jianguo Li, Dejie Meng, Shuiqing Ding, Rui Zhang:
Implementation and Application of Open API Based on Academic Social Networking Site. ChineseCSCW 2017: 209-212 - [c49]Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang:
The Moving K Diversified Nearest Neighbor Query. ICDE 2017: 31-32 - [c48]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao:
Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition. MobiQuitous 2017: 282-291 - [c47]Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao:
Accurate Recognition of the Current Activity in the Presence of Multiple Activities. PAKDD (2) 2017: 39-50 - [c46]Hairuo Xie, Shanika Karunasekera, Lars Kulik, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao:
A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. VTC Spring 2017: 1-5 - 2016
- [c45]Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI 2016: 1195-1201 - [c44]Gitansh Khirbat, Jianzhong Qi, Rui Zhang:
N-ary Biographical Relation Extraction using Shortest Path Dependencies. ALTA 2016: 74-83 - [c43]Gitansh Khirbat, Jianzhong Qi, Rui Zhang:
Disambiguating Entities Referred by Web Endpoints using Tree Ensembles. ALTA 2016: 165-169 - [c42]Xiaojie Lin, Ye Gu, Rui Zhang, Ju Fan:
Linking News and Tweets. ADC 2016: 467-470 - [c41]Saad Aljubayrin, Bin Yang, Christian S. Jensen, Rui Zhang:
Finding non-dominated paths in uncertain road networks. SIGSPATIAL/GIS 2016: 15:1-15:10 - [c40]Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du:
Reverse nearest neighbor heat maps: A tool for influence exploration. ICDE 2016: 966-977 - [c39]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng:
INSQ: An influential neighbor set based moving kNN query processing system. ICDE 2016: 1338-1341 - [c38]Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang:
Contextual Intent Tracking for Personal Assistants. KDD 2016: 273-282 - [c37]Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein:
Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. LAK 2016: 546-547 - [c36]Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang:
Collaborative Nowcasting for Contextual Recommendation. WWW 2016: 1407-1418 - 2015
- [c35]Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang:
Identifying At-Risk Students in Massive Open Online Courses. AAAI 2015: 1749-1755 - [c34]Saad Aljubayrin, Zhen He, Rui Zhang:
Skyline Trips of Multiple POIs Categories. DASFAA (2) 2015: 189-206 - [c33]Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang:
K-Nearest Neighbor Temporal Aggregate Queries. EDBT 2015: 493-504 - [c32]Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Zeyi Wen:
The safest path via safe zones. ICDE 2015: 531-542 - [c31]Jin Huang, Rui Zhang, Jeffrey Xu Yu:
Scalable Hypergraph Learning and Processing. ICDM 2015: 775-780 - 2014
- [c30]Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi:
Efficient Subgraph Matching Using GPUs. ADC 2014: 74-85 - [c29]Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao:
Enabling Precision/Recall Preferences for Semi-supervised SVM Training. CIKM 2014: 421-430 - [c28]Jiazhen He, James Bailey, Rui Zhang:
Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. DASFAA (2) 2014: 141-155 - [c27]Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen:
MELODY-JOIN: Efficient Earth Mover's Distance similarity joins using MapReduce. ICDE 2014: 808-819 - [c26]Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry L. Taylor:
MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs. ICDM 2014: 580-589 - 2013
- [c25]Zheng Huo, Xiaofeng Meng, Rui Zhang:
Feel Free to Check-in: Privacy Alert against Hidden Location Inference Attacks in GeoSNs. DASFAA (1) 2013: 377-391 - [c24]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. ICDE 2013: 254-265 - 2012
- [c23]Yu Sun, Jin Huang, Yueguo Chen, Rui Zhang, Xiaoyong Du:
Location selection for utility maximization with capacity constraints. CIKM 2012: 2154-2158 - [c22]Zhenghua Xu, Rui Zhang, Kotagiri Ramamohanarao, Udaya Parampalli:
An adaptive algorithm for online time series segmentation with error bound guarantee. EDBT 2012: 192-203 - [c21]Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue:
The Min-dist Location Selection Query. ICDE 2012: 366-377 - [c20]Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen:
RankTopic: Ranking Based Topic Modeling. ICDM 2012: 211-220 - [c19]Yu Sun, Jin Huang, Yueguo Chen, Xiaoyong Du, Rui Zhang:
Top-k Most Incremental Location Selection with Capacity Constraint. WAIM 2012: 165-171 - 2011
- [c18]Rui Zhang:
Processing Spatio-Temporal Queries in a Streaming Fashion. ADC 2011: 3 - [c17]Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, Rui Zhang:
Accelerating Spatial Join Operations using Bit-Indices. ADC 2011: 123-132 - [c16]Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He:
Top-k most influential locations selection. CIKM 2011: 2377-2380 - 2010
- [c15]Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, Rui Zhang:
Recursive partitioning method for trajectory indexing. ADC 2010: 37-46 - [c14]Dana Zhang, Kotagiri Ramamohanarao, Steven Versteeg, Rui Zhang:
Graph based strategies to role engineering. CSIIRW 2010: 25 - [c13]Tanzima Hashem, Lars Kulik, Rui Zhang:
Privacy preserving group nearest neighbor queries. EDBT 2010: 489-500 - [c12]Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao:
Mining distribution change in stock order streams. ICDE 2010: 105-108 - 2009
- [c11]Dana Zhang, Kotagiri Ramamohanarao, Steven Versteeg, Rui Zhang:
RoleVAT: Visual Assessment of Practical Need for Role Based Access Control. ACSAC 2009: 13-22 - [c10]Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik:
V*-kNN: An Efficient Algorithm for Moving k Nearest Neighbor Queries. ICDE 2009: 1519-1522 - 2008
- [c9]Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars Kulik:
Load Balancing for Moving Object Management in a P2P Network. DASFAA 2008: 251-266 - [c8]Mohammed Eunus Ali, Rui Zhang, Egemen Tanin, Lars Kulik:
A Motion-Aware Approach to Continuous Retrieval of 3D Objects. ICDE 2008: 843-852 - [c7]Rui Zhang, Dan Lin, Kotagiri Ramamohanarao, Elisa Bertino:
Continuous Intersection Joins Over Moving Objects. ICDE 2008: 863-872 - 2007
- [c6]Sarana Nutanong, Egemen Tanin, Rui Zhang:
Visible Nearest Neighbor Queries. DASFAA 2007: 876-883 - 2006
- [c5]Christian S. Jensen, Dan Lin, Beng Chin Ooi, Rui Zhang:
Effective Density Queries on ContinuouslyMoving Objects. ICDE 2006: 71 - [c4]Anthony K. H. Tung, Rui Zhang, Nick Koudas, Beng Chin Ooi:
Similarity Search: A Matching Based Approach. VLDB 2006: 631-642 - 2005
- [c3]Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava:
Multiple Aggregations Over Data Streams. SIGMOD Conference 2005: 299-310 - 2004
- [c2]Rui Zhang, Beng Chin Ooi, Kian-Lee Tan:
Making the Pyramid Technique Robust to Query Types and Workloads. ICDE 2004: 313-324 - [c1]Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhang:
Approximate NN queries on Streams with Guaranteed Error/performance Bounds. VLDB 2004: 804-815
Editorship
- 2020
- [e5]Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon:
Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12317, Springer 2020, ISBN 978-3-030-60258-1 [contents] - [e4]Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon:
Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12318, Springer 2020, ISBN 978-3-030-60289-5 [contents] - 2013
- [e3]Hua Wang, Rui Zhang:
Twenty-Fourth Australasian Database Conference, ADC 2013, Adelaide, Australia, February 2013. CRPIT 137, Australian Computer Society 2013, ISBN 978-1-921770-22-7 [contents] - [e2]Yoshiharu Ishikawa, Jianzhong Li, Wei Wang, Rui Zhang, Wenjie Zhang:
Web Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Sydney, Australia, April 4-6, 2013. Proceedings. Lecture Notes in Computer Science 7808, Springer 2013, ISBN 978-3-642-37400-5 [contents] - 2012
- [e1]Rui Zhang, Yanchun Zhang:
Twenty-Third Australasian Database Conference, ADC 2012, Melbourne, Australia, January 2012. CRPIT 124, Australian Computer Society 2012, ISBN 978-1-921770-05-0 [contents]
Reference Works
- 2019
- [r7]Jianzhong Qi, Rui Zhang:
Indexing. Encyclopedia of Big Data Technologies 2019 - [r6]Jianzhong Qi, Rui Zhang:
Query Processing - kNN. Encyclopedia of Big Data Technologies 2019 - 2017
- [r5]H. V. Jagadish, Beng Chin Ooi, Rui Zhang:
iDistance Techniques. Encyclopedia of GIS 2017: 903-906 - 2009
- [r4]Rui Zhang:
Data Reduction. Encyclopedia of Database Systems 2009: 621-626 - [r3]Rui Zhang:
Nonparametric Data Reduction Techniques. Encyclopedia of Database Systems 2009: 1912 - [r2]Rui Zhang:
Parametric Data Reduction Techniques. Encyclopedia of Database Systems 2009: 2044-2045 - 2008
- [r1]H. V. Jagadish, Beng Chin Ooi, Rui Zhang:
iDistance Techniques. Encyclopedia of GIS 2008: 469-471
Informal and Other Publications
- 2024
- [i74]Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang:
A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective. CoRR abs/2403.16137 (2024) - [i73]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR abs/2404.02249 (2024) - [i72]Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao:
PMG : Personalized Multimodal Generation with Large Language Models. CoRR abs/2404.08677 (2024) - [i71]Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong:
Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR abs/2405.06927 (2024) - [i70]Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim:
ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation. CoRR abs/2406.03404 (2024) - [i69]Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang:
Embedding Compression in Recommender Systems: A Survey. CoRR abs/2408.02304 (2024) - 2023
- [i68]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i67]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. CoRR abs/2303.02418 (2023) - [i66]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. CoRR abs/2303.11574 (2023) - [i65]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. CoRR abs/2304.00295 (2023) - [i64]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu:
Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR abs/2305.01915 (2023) - [i63]Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang:
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. CoRR abs/2305.04658 (2023) - [i62]Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu:
A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR abs/2306.02051 (2023) - [i61]Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR abs/2306.10933 (2023) - [i60]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. CoRR abs/2307.11772 (2023) - [i59]Yangning Li, Tingwei Lu, Yinghui Li, Tianyu Yu, Shulin Huang, Hai-Tao Zheng, Rui Zhang, Jun Yuan:
MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities. CoRR abs/2307.14878 (2023) - [i58]Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang:
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR abs/2308.05508 (2023) - [i57]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. CoRR abs/2308.11175 (2023) - [i56]Zilin Yuan, Borun Chen, Yimeng Dai, Yinghui Li, Hai-Tao Zheng, Rui Zhang:
An Anchor Learning Approach for Citation Field Learning. CoRR abs/2309.03559 (2023) - [i55]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. CoRR abs/2312.07036 (2023) - 2022
- [i54]Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Summarization Based on Video-text Modelling. CoRR abs/2201.02494 (2022) - [i53]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. CoRR abs/2202.06602 (2022) - [i52]Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau:
An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR abs/2203.05843 (2022) - [i51]Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He:
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR abs/2203.09129 (2022) - [i50]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. CoRR abs/2204.09370 (2022) - [i49]Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang:
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR abs/2204.11165 (2022) - [i48]Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang:
BARS: Towards Open Benchmarking for Recommender Systems. CoRR abs/2205.09626 (2022) - [i47]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. CoRR abs/2206.05749 (2022) - [i46]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. CoRR abs/2206.08604 (2022) - [i45]Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang:
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR abs/2206.13764 (2022) - [i44]Yuxuan Han, Zhiyi Huang, Yang Wang, Rui Zhang:
Performance Analysis of OMP in Super-Resolution. CoRR abs/2208.09111 (2022) - [i43]Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi:
TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs. CoRR abs/2210.08540 (2022) - [i42]Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry:
Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. CoRR abs/2210.12373 (2022) - [i41]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. CoRR abs/2211.06684 (2022) - [i40]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. CoRR abs/2211.09303 (2022) - [i39]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. CoRR abs/2212.05735 (2022) - 2021
- [i38]Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang:
Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. CoRR abs/2101.03652 (2021) - [i37]Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang:
HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. CoRR abs/2101.10897 (2021) - [i36]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. CoRR abs/2103.11647 (2021) - [i35]Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi:
A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning. CoRR abs/2103.15059 (2021) - [i34]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. CoRR abs/2104.04406 (2021) - [i33]Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang:
WGCN: Graph Convolutional Networks with Weighted Structural Features. CoRR abs/2104.14060 (2021) - [i32]Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan:
Neural Graph Matching based Collaborative Filtering. CoRR abs/2105.04067 (2021) - [i31]Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang:
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. CoRR abs/2106.01532 (2021) - [i30]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. CoRR abs/2107.08645 (2021) - [i29]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. CoRR abs/2108.01265 (2021) - [i28]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. CoRR abs/2111.15068 (2021) - [i27]Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang:
Precondition and Effect Reasoning for Action Recognition. CoRR abs/2112.10057 (2021) - [i26]Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang:
Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. CoRR abs/2112.13478 (2021) - 2020
- [i25]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. CoRR abs/2005.04379 (2020) - [i24]Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang:
Consistent and Flexible Selectivity Estimation for High-dimensional Data. CoRR abs/2005.09908 (2020) - [i23]Yang Song, Yu Gu, Rui Zhang, Ge Yu:
BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR abs/2006.00227 (2020) - [i22]Hao Wu, Junhao Gan, Rui Zhang:
Learning Based Distributed Tracking. CoRR abs/2006.12943 (2020) - [i21]Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR abs/2008.00404 (2020) - [i20]Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri:
Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR abs/2009.05721 (2020) - [i19]Shiquan Yang, Rui Zhang, Sarah M. Erfani:
GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. CoRR abs/2010.01447 (2020) - [i18]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
Generalizable and Explainable Dialogue Generation via Explicit Action Learning. CoRR abs/2010.03755 (2020) - 2019
- [i17]Yunxiang Zhao, Jianzhong Qi, Rui Zhang:
CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. CoRR abs/1904.11128 (2019) - [i16]Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao:
Generative Image Inpainting with Submanifold Alignment. CoRR abs/1908.00211 (2019) - [i15]Yixin Su, Sarah Monazam Erfani, Rui Zhang:
MMF: Attribute Interpretable Collaborative Filtering. CoRR abs/1908.01099 (2019) - [i14]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng:
CARL: Aggregated Search with Context-Aware Module Embedding Learning. CoRR abs/1908.03141 (2019) - [i13]Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri:
Boosted GAN with Semantically Interpretable Information for Image Inpainting. CoRR abs/1908.04503 (2019) - [i12]Zeyi Wen, Zeyu Huang, Rui Zhang:
Entity Extraction with Knowledge from Web Scale Corpora. CoRR abs/1911.09373 (2019) - [i11]Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang:
MALA: Cross-Domain Dialogue Generation with Action Learning. CoRR abs/1912.08442 (2019) - 2017
- [i10]Zeyi Wen, Dong Deng, Rui Zhang, Kotagiri Ramamohanarao:
A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity. CoRR abs/1702.03519 (2017) - 2016
- [i9]Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng:
INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. CoRR abs/1602.00363 (2016) - [i8]Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du:
Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration. CoRR abs/1602.00389 (2016) - [i7]Jiazhen He, Rui Zhang, James Bailey, Benjamin I. P. Rubinstein, Sandra Milligan:
TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. CoRR abs/1607.08720 (2016) - [i6]Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang:
Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. CoRR abs/1611.07659 (2016) - 2015
- [i5]Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan:
MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR abs/1511.07961 (2015) - 2012
- [i4]Thi Nguyen, Zhen He, Rui Zhang, Phillip Ward:
Boosting Moving Object Indexing through Velocity Partitioning. CoRR abs/1205.6697 (2012) - 2011
- [i3]Tanzima Hashem, Lars Kulik, Rui Zhang:
Privacy Preserving Moving KNN Queries. CoRR abs/1104.2756 (2011) - [i2]Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao:
Probabilistic Voronoi Diagrams for Probabilistic Moving Nearest Neighbor Queries. CoRR abs/1106.5979 (2011) - [i1]Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu:
A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy. CoRR abs/1109.6883 (2011)
Coauthor Index
Sarah M. Erfani
aka: Sarah Monazam Erfani
aka: Sarah Monazam Erfani
[j79] [j75] [j74] [j72] [j68] [j67] [j64] [j61] [j60] [j59] [j58] [j57] [j54] [j52] [j46] [j44] [j42] [j38] [j36] [j35] [j34] [j33] [j29] [j28] [j27] [j18] [c102] [c101] [c99] [c95] [c91] [c90] [c89] [c88] [c86] [c85] [c83] [c82] [c81] [c79] [c78] [c77] [c76] [c74] [c72] [c71] [c69] [c68] [c64] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c49] [c44] [c43] [c40] [c39] [c33] [c32] [c30] [c26] [c21] [c16] [r7] [r6] [i60] [i43] [i37] [i35] [i33] [i25] [i20] [i18] [i17] [i16] [i14] [i13] [i11] [i9] [i8]
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