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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.dagstuhl.de/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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2020 – today
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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]