Rui Zhang - RankMe

358 papers A* 85A 19B 14C 2Misc 12Journal 180Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Data-Centric Sequential Recommendation with Relation-Augmented Generation. AAAI Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li
2026	J	`jnl`	FedEGL: Edge-assisted federated graph learning. Inf. Fusion Haitao Wang, Aojie Luo, Wenchao Xu, Haozhao Wang, Yichen Li, Yining Qi, Rui Zhang, Ruixuan Li
2026	J	`jnl`	Fedcompass: Federated Clustered and Periodic Aggregation Framework for Hybrid Classical-Quantum Models. CoRR Yueheng Wang, Xing He, Zinuo Cai, Rui Zhang, Ruhui Ma, Yuan Liu, Rajkumar Buyya
2026	J	`jnl`	Homophily Edge Augment Graph Neural Network for High-Class Homophily Variance Learning. IEEE Trans. Pattern Anal. Mach. Intell. Mingjian Guang, Rui Zhang, Dawei Cheng, Xiaoyang Wang, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2026	J	`jnl`	QKVQA: Question-Focused Filtering for Knowledge-based VQA. CoRR Wei Ye, Yixin Su, Yueguo Chen, Longxiang Gao, Jianjun Li, Ruixuan Li, Rui Zhang
2026	J	`jnl`	Rethinking Graph Contrastive Learning for Heterophilic Graphs: An Effective Method for Heterophilic GCL Methods With Regularization and Stabilization Techniques Enhanced High-Pass Filter. IEEE Trans. Knowl. Data Eng. Han Chen, Yuhua Li, Yixiong Zou, Keke Huang, Rui Zhang, Ruixuan Li, Philip S. Yu
2026	J	`jnl`	Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering. CoRR Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang
2026	J	`jnl`	UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration. ACM Trans. Inf. Syst. Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2026	A*	`conf`	Unbiased Rectification for Sequential Recommender Systems Under Fake Orders. AAAI Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang, Ruixuan Li
2026	J	`jnl`	Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. IEEE Commun. Surv. Tutorials Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li
2026	A*	`conf`	pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning. WWW Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi, Rui Zhang
2025	J	`jnl`	A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective. IEEE Trans. Knowl. Data Eng. Ziwen Zhao, Yixin Su, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
2025	J	`jnl`	A Systematic Survey on Federated Sequential Recommendation. CoRR Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li
2025	J	`jnl`	Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. CoRR Yifan Wang, Weinan Gan, Longtao Xiao, Jieming Zhu, Heng Chang, Haozhao Wang, Rui Zhang, Zhenhua Dong, Ruiming Tang, Ruixuan Li
2025	J	`jnl`	Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges. CoRR Senyao Li, Haozhao Wang, Wenchao Xu, Rui Zhang, Song Guo, Jingling Yuan, Xian Zhong, Tianwei Zhang, Ruixuan Li
2025	A*	`conf`	EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. AAAI Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang
2025	J	`jnl`	EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models. CoRR Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang
2025	J	`jnl`	Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models. CoRR Xiaoyan Zhao, Yang Deng, Wenjie Wang, Hongzhan Lin, Hong Cheng, Rui Zhang, See-Kiong Ng, Tat-Seng Chua
2025	A*	`conf`	Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection. WWW Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang
2025	J	`jnl`	Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection. CoRR Jie Yang, Rui Zhang, Ziyang Cheng, Dawei Cheng, Guang Yang, Bo Wang
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. CoRR Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. ACM Trans. Inf. Syst. Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation. CoRR Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen
2025	J	`jnl`	Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation. CoRR Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li
2025	—	`conf`	ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences. KDD (2) Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang
2025	J	`jnl`	Resource-Constrained Federated Continual Learning: What Does Matter? CoRR Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li
2025	J	`jnl`	ST-DPGAN: A Privacy-Preserving Framework for Spatiotemporal Data Generation. IEEE Internet Things J. Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim
2024	J	`jnl`	A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers. ACM Comput. Surv. Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
2024	J	`jnl`	A Survey on Self-Supervised Pre-Training of Graph Foundation Models: A Knowledge-Based Perspective. CoRR Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
2024	Misc	`conf`	An Anchor Learning Approach for Citation Field Learning. ICASSP Zilin Yuan, Borun Chen, Yimeng Dai, Yinghui Li, Hai-Tao Zheng, Rui Zhang
2024	J	`jnl`	AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models. IEEE Trans. Knowl. Data Eng. Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi
2024	J	`jnl`	BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data. Proc. ACM Manag. Data Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang
2024	A	`conf`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. WSDM Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2024	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. CoRR Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024	J	`jnl`	Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024	Misc	`conf`	Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm. ICASSP Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Rui Zhang, Hai-Tao Zheng
2024	—	`conf`	FCMH: Fast Cluster Multi-hop Model for Graph Fraud Detection. ADMA (3) Rui Zhang, Wenbo Li, Xiaodong Ning, Dawei Cheng, Li Han, Heguo Yang
2024	J	`jnl`	Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. CoRR Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng
2024	A	`conf`	IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. WSDM Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
2024	—	`conf`	Interactive 3D Object Detection with Prompts. ECCV (17) Rui Zhang, Xiangru Lin, Wei Zhang, Jincheng Lu, Xuekuan Wang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Guanbin Li
2024	A*	`conf`	MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation. ACM Multimedia Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen
2024	A*	`conf`	MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. AAAI Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang
2024	—	`conf`	Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024	—	`conf`	Multimodal Pretraining and Generation for Recommendation: A Tutorial. WWW (Companion Volume) Jieming Zhu, Xin Zhou, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024	J	`jnl`	Multimodal Pretraining and Generation for Recommendation: A Tutorial. CoRR Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong
2024	A*	`conf`	Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. KDD Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024	J	`jnl`	Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. CoRR Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024	—	`conf`	PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models. LREC/COLING Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong
2024	A*	`conf`	PMG : Personalized Multimodal Generation with Large Language Models. WWW Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
2024	J	`jnl`	PMG : Personalized Multimodal Generation with Large Language Models. CoRR Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao
2024	A*	`conf`	Pre-trained Online Contrastive Learning for Insurance Fraud Detection. AAAI Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang
2024	—	`conf`	RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
2024	J	`jnl`	RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia
2024	J	`jnl`	ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation. CoRR Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim
2024	A*	`conf`	Separation Is for Better Reunion: Data Lake Storage at Huawei. ICDE 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
2024	A	`conf`	UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. CIKM Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng
2024	J	`jnl`	Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey. CoRR Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li
2024	A	`conf`	User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2023	A	`conf`	A Bird's-eye View of Reranking: From List Level to Page Level. WSDM Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2023	J	`jnl`	A Comprehensive Survey on Deep Learning for Relation Extraction: Recent Advances and New Frontiers. CoRR Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu
2023	A*	`conf`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023	J	`jnl`	An Anchor Learning Approach for Citation Field Learning. CoRR Zilin Yuan, Borun Chen, Yimeng Dai, Yinghui Li, Hai-Tao Zheng, Rui Zhang
2023	A	`conf`	An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. WSDM Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023	J	`jnl`	AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. CoRR Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances (Extended Abstract). ICDE Yang Song, Yu Gu, Rui Zhang, Ge Yu
2023	A*	`conf`	CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. IJCAI Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
2023	J	`jnl`	CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. CoRR Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang
2023	A*	`conf`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	J	`jnl`	Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023	A	`conf`	Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
2023	J	`jnl`	Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. CoRR Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin
2023	J	`jnl`	Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu
2023	A*	`conf`	FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023	A*	`conf`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	J	`jnl`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	A*	`conf`	Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. IJCAI Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang
2023	A	`conf`	Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang
2023	A*	`conf`	Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023	A*	`conf`	JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. IJCAI Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang
2023	J	`jnl`	JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. CoRR Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang
2023	J	`jnl`	Learning Region Similarities via Graph-Based Deep Metric Learning. IEEE Trans. Knowl. Data Eng. Yunxiang Zhao, Jianzhong Qi, Bayu Distiawan Trisedya, Yixin Su, Rui Zhang, Hongguang Ren
2023	J	`jnl`	MESED: A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities. CoRR Yangning Li, Tingwei Lu, Yinghui Li, Tianyu Yu, Shulin Huang, Hai-Tao Zheng, Rui Zhang, Jun Yuan
2023	A*	`conf`	MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. ACM Multimedia Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia
2023	J	`jnl`	MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. CoRR Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia
2023	A	`conf`	Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CIKM Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
2023	J	`jnl`	Multi-domain Recommendation with Embedding Disentangling and Domain Alignment. CoRR Wentao Ning, Xiao Yan, Weiwen Liu, Reynold Cheng, Rui Zhang, Bo Tang
2023	A*	`conf`	On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
2023	A*	`conf`	PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023	A*	`conf`	Personalized Diversification for Neural Re-ranking in Recommendation. ICDE Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2023	J	`jnl`	Precondition and effect reasoning for action recognition. Comput. Vis. Image Underst. Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2023	A*	`conf`	REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
2023	J	`jnl`	REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
2023	—	`conf`	RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023	A*	`conf`	Recommendation with Causality enhanced Natural Language Explanations. WWW Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang
2023	J	`jnl`	Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Comput. Surv. Caesar Wu, Rui Zhang, Ramamohanarao Kotagiri, Pascal Bouvry
2023	—	`conf`	Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
2023	J	`jnl`	Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023	J	`jnl`	TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning. IEEE Trans. Knowl. Data Eng. Bayu Distiawan Trisedya, Jianzhong Qi, Hai-Tao Zheng, Flora D. Salim, Rui Zhang
2023	J	`jnl`	Video Joint Modelling Based on Hierarchical Transformer for Co-Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2022	J	`jnl`	A Bird's-eye View of Reranking: from List Level to Page Level. CoRR Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2022	A*	`conf`	A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022	J	`jnl`	A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022	J	`jnl`	A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning. VLDB J. Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi
2022	J	`jnl`	Action-ViT: Pedestrian Intent Prediction in Traffic Scenes. IEEE Signal Process. Lett. Shengzhe Zhao, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2022	J	`jnl`	Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2022	J	`jnl`	An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. CoRR Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022	—	`conf`	An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. ACL (1) Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2022	J	`jnl`	An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. CoRR Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2022	A*	`conf`	BARS: Towards Open Benchmarking for Recommender Systems. SIGIR Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022	J	`jnl`	BARS: Towards Open Benchmarking for Recommender Systems. CoRR Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang
2022	J	`jnl`	BrePartition: Optimized High-Dimensional kNN Search With Bregman Distances. IEEE Trans. Knowl. Data Eng. Yang Song, Yu Gu, Rui Zhang, Ge Yu
2022	A*	`conf`	Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
2022	J	`jnl`	Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
2022	A*	`conf`	Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. KDD Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
2022	J	`jnl`	Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. CoRR Yixin Su, Yunxiang Zhao, Sarah M. Erfani, Junhao Gan, Rui Zhang
2022	J	`jnl`	Distributed Hypergraph Processing Using Intersection Graphs. IEEE Trans. Knowl. Data Eng. Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, Rui Zhang
2022	J	`jnl`	GCP: Graph Encoder With Content-Planning for Sentence Generation From Knowledge Bases. IEEE Trans. Pattern Anal. Mach. Intell. Bayu Distiawan Trisedya, Jianzhong Qi, Wei Wang, Rui Zhang
2022	B	`conf`	GiTS: Gist-driven Text Segmentation. IJCNN Yifeng Ding, Yimeng Dai, Hai-Tao Zheng, Rui Zhang
2022	A	`conf`	LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022	B	`conf`	LordBERT: Embedding Long Text by Segment Ordering with BERT. IJCNN Borun Chen, Rongyi Sun, Yimeng Dai, Hai-Tao Zheng, Rui Zhang
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	A*	`conf`	Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022	A*	`conf`	Multi-Level Interaction Reranking with User Behavior History. SIGIR Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022	J	`jnl`	Multi-Level Interaction Reranking with User Behavior History. CoRR Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022	A*	`conf`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022	J	`jnl`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022	A	`conf`	Numerical Feature Representation with Hybrid CIKM Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022	J	`jnl`	Performance Analysis of OMP in Super-Resolution. CoRR Yuxuan Han, Zhiyi Huang, Yang Wang, Rui Zhang
2022	A*	`conf`	RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2022	A*	`conf`	ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022	J	`jnl`	ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022	A*	`conf`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Special Issue of Graph Data Management, Mining, and Applications (APWeb-WAIM 2020). World Wide Web Xin Wang, Rui Zhang, Young-Koo Lee
2022	J	`jnl`	Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. CoRR Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry
2022	J	`jnl`	TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs. CoRR Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi
2022	A*	`conf`	Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2022	J	`jnl`	Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. IEEE Trans. Image Process. Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
2022	J	`jnl`	Video Summarization Based on Video-text Modelling. CoRR Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2021	J	`jnl`	A Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning. CoRR Rui Zhang, Bayu Distiawan Trisedya, Miao Li, Yong Jiang, Jianzhong Qi
2021	J	`jnl`	Adversarial Distillation for Learning with Privileged Provisions. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi
2021	A*	`conf`	Automatic Webpage Briefing. ICDE Yimeng Dai, Rui Zhang, Jianzhong Qi
2021	A	`conf`	Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings. WSDM Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi
2021	—	`conf`	Consistent and Flexible Selectivity Estimation for High-Dimensional Data. SIGMOD Conference Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang, Yoshiharu Ishikawa
2021	A*	`conf`	Detecting Beneficial Feature Interactions for Recommender Systems. AAAI Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
2021	—	`conf`	Grouped-Attention for Content-Selection and Content-Plan Generation. EMNLP (Findings) Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang, Qingjun Cui
2021	J	`jnl`	HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. CoRR Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang
2021	—	`conf`	Latent Reasoning for Low-Resource Question Generation. ACL/IJCNLP (Findings) Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021	J	`jnl`	Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2021	J	`jnl`	Mining Express Service Innovation Opportunity From Online Reviews. J. Organ. End User Comput. Ning Zhang, Rui Zhang, Zhiliang Pang, Xue Liu, Wenfei Zhao
2021	A*	`conf`	Neural Graph Matching based Collaborative Filtering. SIGIR Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
2021	J	`jnl`	Neural Graph Matching based Collaborative Filtering. CoRR Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan
2021	J	`jnl`	Next-Item Recommendation With Deep Adaptable Co-Embedding Neural Networks. IEEE Signal Process. Lett. Daochang Chen, Wenzheng Hu, Bo Yuan, Rui Zhang, Jianqiang Wang
2021	A*	`conf`	Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. IJCAI Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2021	J	`jnl`	Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting. CoRR Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang
2021	J	`jnl`	Precondition and Effect Reasoning for Action Recognition. CoRR Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
2021	A*	`conf`	ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. ICDE Yang Song, Yu Gu, Rui Zhang, Ge Yu
2021	J	`jnl`	ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. CoRR Yang Song, Yu Gu, Rui Zhang, Ge Yu
2021	A*	`conf`	Prototypical Representation Learning for Relation Extraction. ICLR Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang
2021	J	`jnl`	Prototypical Representation Learning for Relation Extraction. CoRR Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang
2021	A*	`conf`	UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases intoEnd-to-End Task-Oriented Dialogue Systems. IJCAI Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau
2021	—	`conf`	Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. SIGMOD Conference Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2021	J	`jnl`	Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. CoRR Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang
2021	J	`jnl`	Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. CoRR Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou
2021	J	`jnl`	Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. CoRR Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang
2021	A*	`conf`	WGCN: Graph Convolutional Networks with Weighted Structural Features. SIGIR Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang
2021	J	`jnl`	WGCN: Graph Convolutional Networks with Weighted Structural Features. CoRR Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang
2020	B	`conf`	A Learning Based Approach to Predict Shortest-Path Distances. EDBT Jianzhong Qi, Wei Wang, Rui Zhang, Zhuowei Zhao
2020	J	`jnl`	BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. CoRR Yang Song, Yu Gu, Rui Zhang, Ge Yu
2020	J	`jnl`	Consistent and Flexible Selectivity Estimation for High-dimensional Data. CoRR Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Makoto Onizuka, Wei Wang, Rui Zhang
2020	J	`jnl`	Detecting Relevant Feature Interactions for Recommender Systems via Graph Neural Networks. CoRR Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu
2020	J	`jnl`	Efficient processing of moving collective spatial keyword queries. VLDB J. Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang
2020	Misc	`conf`	Entity Extraction with Knowledge from Web Scale Corpora. ADC Zeyi Wen, Zeyu Huang, Rui Zhang
2020	—	`conf`	Generalizable and Explainable Dialogue Generation via Explicit Action Learning. EMNLP (Findings) Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2020	J	`jnl`	Generalizable and Explainable Dialogue Generation via Explicit Action Learning. CoRR Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2020	—	`conf`	GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. EMNLP (1) Shiquan Yang, Rui Zhang, Sarah M. Erfani
2020	J	`jnl`	GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems. CoRR Shiquan Yang, Rui Zhang, Sarah M. Erfani
2020	A*	`conf`	HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. ICDM Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, Rui Zhang
2020	A	`conf`	Joint Recognition of Names and Publications in Academic Homepages. WSDM Yimeng Dai, Jianzhong Qi, Rui Zhang
2020	J	`jnl`	Landmark Graph-Based Indoor Localization. IEEE Internet Things J. Fuqiang Gu, Shahrokh Valaee, Kourosh Khoshelham, Jianga Shang, Rui Zhang
2020	A*	`conf`	Learning Based Distributed Tracking. KDD Hao Wu, Junhao Gan, Rui Zhang
2020	J	`jnl`	Learning Based Distributed Tracking. CoRR Hao Wu, Junhao Gan, Rui Zhang
2020	A*	`conf`	MALA: Cross-Domain Dialogue Generation with Action Learning. AAAI Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2020	J	`jnl`	Packing R-trees with Space-filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability. ACM Trans. Database Syst. Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang
2020	—	`conf`	Person Name Recognition with Fine-grained Annotation. JCDL Yimeng Dai, Rui Zhang, Jianzhong Qi
2020	A*	`conf`	Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. ACL Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2020	J	`jnl`	Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation. CoRR Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2020	A*	`conf`	Sentence Generation for Entity Description with Content-Plan Attention. AAAI Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang
2020	—	`conf`	Short-Term and Long-Term Context Aggregation Network for Video Inpainting. ECCV (4) Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020	J	`jnl`	Short-Term and Long-Term Context Aggregation Network for Video Inpainting. CoRR Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
2020	—	`ed.`	Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part I APWeb/WAIM (1) Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon
2020	—	`ed.`	Web and Big Data - 4th International Joint Conference, APWeb-WAIM 2020, Tianjin, China, September 18-20, 2020, Proceedings, Part II APWeb/WAIM (2) Xin Wang, Rui Zhang, Young-Koo Lee, Le Sun, Yang-Sae Moon
2019	A*	`conf`	2ED: An Efficient Entity Extraction Algorithm Using Two-Level Edit-Distance. ICDE Zeyi Wen, Dong Deng, Rui Zhang, Ramamohanarao Kotagiri
2019	B	`conf`	Boosted GAN with Semantically Interpretable Information for Image Inpainting. IJCNN Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri
2019	J	`jnl`	Boosted GAN with Semantically Interpretable Information for Image Inpainting. CoRR Ang Li, Jianzhong Qi, Rui Zhang, Ramamohanarao Kotagiri
2019	B	`conf`	CARL: Aggregated Search with Context-Aware Module Embedding Learning. IJCNN Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng
2019	J	`jnl`	CARL: Aggregated Search with Context-Aware Module Embedding Learning. CoRR Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng
2019	A*	`conf`	CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. WWW Yunxiang Zhao, Jianzhong Qi, Rui Zhang
2019	J	`jnl`	CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. CoRR Yunxiang Zhao, Jianzhong Qi, Rui Zhang
2019	A*	`conf`	DBSVEC: Density-Based Clustering Using Support Vector Expansion. ICDE Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan
2019	A*	`conf`	Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random. ICML Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi
2019	A*	`conf`	Entity Alignment between Knowledge Graphs Using Attribute Embeddings. AAAI Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang
2019	J	`jnl`	Entity Extraction with Knowledge from Web Scale Corpora. CoRR Zeyi Wen, Zeyu Huang, Rui Zhang
2019	J	`jnl`	Generating traffic data for any city using SMARTS simulator. ACM SIGSPATIAL Special Hairuo Xie, Egemen Tanin, Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi
2019	A*	`conf`	Generative Image Inpainting with Submanifold Alignment. IJCAI Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
2019	J	`jnl`	Generative Image Inpainting with Submanifold Alignment. CoRR Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
2019	J	`jnl`	HyperX: A Scalable Hypergraph Framework. IEEE Trans. Knowl. Data Eng. Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, Rui Zhang
2019	—	`ch.`	Indexing. Encyclopedia of Big Data Technologies Jianzhong Qi, Rui Zhang
2019	B	`conf`	LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. IJCNN Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang
2019	J	`jnl`	MALA: Cross-Domain Dialogue Generation with Action Learning. CoRR Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang
2019	B	`conf`	MMF: Attribute Interpretable Collaborative Filtering. IJCNN Yixin Su, Sarah Monazam Erfani, Rui Zhang
2019	J	`jnl`	MMF: Attribute Interpretable Collaborative Filtering. CoRR Yixin Su, Sarah Monazam Erfani, Rui Zhang
2019	J	`jnl`	Moving Inf. Syst. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu
2019	—	`conf`	Neural Relation Extraction for Knowledge Base Enrichment. ACL (1) Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang
2019	J	`jnl`	Protecting privacy for distance and rank based group nearest neighbor queries. World Wide Web Tanzima Hashem, Lars Kulik, Kotagiri Ramamohanarao, Rui Zhang, Subarna Chowdhury Soma
2019	—	`conf`	Quantifying the Impact of Autonomous Vehicles using Microscopic Simulations. IWCTS@SIGSPATIAL Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Jianzhong Qi, Rui Zhang, Lars Kulik, Kotagiri Ramamohanarao
2019	—	`ch.`	Query Processing - Encyclopedia of Big Data Technologies Jianzhong Qi, Rui Zhang
2019	—	`conf`	SCHONA: A Scholar Persona System Based on Academic Social Network. HCC Ronghua Lin, Chengjie Mao, Chaodan Mao, Rui Zhang, Hai Liu, Yong Tang
2019	B	`conf`	Sequence-Aware Recommendation with Long-Term and Short-Term Attention Memory Networks. MDM Daochang Chen, Rui Zhang, Bo Yuan
2019	J	`jnl`	SmartVM: a SLA-aware microservice deployment framework. World Wide Web Tianlei Zheng, Xi Zheng, Yuqun Zhang, Yao Deng, ErXi Dong, Rui Zhang, Xiao Liu
2019	B	`conf`	Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. IJCNN Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang
2018	—	`conf`	A Joint Optimization Approach for Personalized Recommendation Diversification. PAKDD (3) Xiaojie Wang, Jianzhong Qi, Kotagiri Ramamohanarao, Yu Sun, Bo Li, Rui Zhang
2018	A	`conf`	A Unified Processing Paradigm for Interactive Location-based Web Search. WSDM Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang
2018	—	`conf`	Citation Field Learning by RNN with Limited Training Data. PAKDD (Workshops) Yiqing Zhang, Yimeng Dai, Jianzhong Qi, Xinxing Xu, Rui Zhang
2018	—	`conf`	Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. PAKDD (1) Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, Tenglun Tan
2018	A*	`conf`	Continuous Maintenance of Range Sum Heat Maps. ICDE Jianzhong Qi, Vivek Kumar, Rui Zhang, Egemen Tanin, Goce Trajcevski, Peter Scheuermann
2018	J	`jnl`	Continuous Spatial Query Processing: A Survey of Safe Region Based Techniques. ACM Comput. Surv. Jianzhong Qi, Rui Zhang, Christian S. Jensen, Kotagiri Ramamohanarao, Jiayuan He
2018	—	`conf`	GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data. ACL (1) Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Wei Wang
2018	J	`jnl`	HomeSeeker: A visual analytics system of real estate data. J. Vis. Lang. Comput. Mingzhao Li, Zhifeng Bao, Timos Sellis, Shi Yan, Rui Zhang
2018	A*	`conf`	KDGAN: Knowledge Distillation with Generative Adversarial Networks. NeurIPS Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi
2018	A*	`conf`	Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition. AAAI Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
2018	J	`jnl`	Locomotion Activity Recognition Using Stacked Denoising Autoencoders. IEEE Internet Things J. Fuqiang Gu, Kourosh Khoshelham, Shahrokh Valaee, Jianga Shang, Rui Zhang
2018	A*	`conf`	Predicting Complex Activities from Ongoing Multivariate Time Series. IJCAI Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
2018	A*	`conf`	PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. EMNLP Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chuandong Yin
2018	J	`jnl`	Scalable and fast SVM regression using modern hardware. World Wide Web Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang
2018	J	`jnl`	Search Result Diversity Evaluation Based on Intent Hierarchies. IEEE Trans. Knowl. Data Eng. Xiaojie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, Rui Zhang
2018	—	`conf`	Studying transportation problems with the SMARTS simulator (demo paper). SIGSPATIAL/GIS Hairuo Xie, Egemen Tanin, Shanika Karunasekera, Lars Kulik, Rui Zhang, Jianzhong Qi, Kotagiri Ramamohanarao
2018	J	`jnl`	Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability. Proc. VLDB Endow. Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang
2018	—	`conf`	Web Page Template and Data Separation for Better Maintainability. WISE (1) Chenxu Zhao, Rui Zhang, Jianzhong Qi
2017	—	`conf`	A Simulation Study of Emergency Vehicle Prioritization in Intelligent Transportation Systems. VTC Spring Hairuo Xie, Shanika Karunasekera, Lars Kulik, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao
2017	J	`jnl`	A Technical Report: Entity Extraction using Both Character-based and Token-based Similarity. CoRR Zeyi Wen, Dong Deng, Rui Zhang, Kotagiri Ramamohanarao
2017	—	`conf`	Accurate Recognition of the Current Activity in the Presence of Multiple Activities. PAKDD (2) Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao
2017	J	`jnl`	Collaborative Intent Prediction with Real-Time Contextual Data. ACM Trans. Inf. Syst. Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2017	J	`jnl`	Finding lowest-cost paths in settings with safe and preferred zones. VLDB J. Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Yuan Li
2017	—	`conf`	Implementation and Application of Open API Based on Academic Social Networking Site. ChineseCSCW Ronghua Lin, Jianguo Li, Dejie Meng, Shuiqing Ding, Rui Zhang
2017	A*	`conf`	Improving Efficiency of SVM AAAI Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang
2017	C	`conf`	Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition. MobiQuitous Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao
2017	J	`jnl`	SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator. ACM Trans. Intell. Syst. Technol. Kotagiri Ramamohanarao, Hairuo Xie, Lars Kulik, Shanika Karunasekera, Egemen Tanin, Rui Zhang, Eman Bin Khunayn
2017	A*	`conf`	The Moving K Diversified Nearest Neighbor Query. ICDE Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
2017	—	`ch.`	iDistance Techniques. Encyclopedia of GIS H. V. Jagadish, Beng Chin Ooi, Rui Zhang
2016	A*	`conf`	Collaborative Nowcasting for Contextual Recommendation. WWW Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2016	A*	`conf`	Contextual Intent Tracking for Personal Assistants. KDD Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang
2016	Misc	`conf`	Disambiguating Entities Referred by Web Endpoints using Tree Ensembles. ALTA Gitansh Khirbat, Jianzhong Qi, Rui Zhang
2016	—	`conf`	Finding non-dominated paths in uncertain road networks. SIGSPATIAL/GIS Saad Aljubayrin, Bin Yang, Christian S. Jensen, Rui Zhang
2016	J	`jnl`	Heads-Join: Efficient Earth Mover's Distance Similarity Joins on Hadoop. IEEE Trans. Parallel Distributed Syst. Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen, Yongwei Wu
2016	J	`jnl`	INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. CoRR Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
2016	A*	`conf`	INSQ: An influential neighbor set based moving kNN query processing system. ICDE Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Qingxu Deng
2016	J	`jnl`	Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. CoRR Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang
2016	Misc	`conf`	Linking News and Tweets. ADC Xiaojie Lin, Ye Gu, Rui Zhang, Ju Fan
2016	A*	`conf`	MOOCs Meet Measurement Theory: A Topic-Modelling Approach. AAAI Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
2016	Misc	`conf`	N-ary Biographical Relation Extraction using Shortest Path Dependencies. ALTA Gitansh Khirbat, Jianzhong Qi, Rui Zhang
2016	J	`jnl`	Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration. CoRR Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du
2016	A*	`conf`	Reverse nearest neighbor heat maps: A tool for influence exploration. ICDE Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du
2016	J	`jnl`	The Moving K Diversified Nearest Neighbor Query. IEEE Trans. Knowl. Data Eng. Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang
2016	J	`jnl`	TopicResponse: A Marriage of Topic Modelling and Rasch Modelling for Automatic Measurement in MOOCs. CoRR Jiazhen He, Rui Zhang, James Bailey, Benjamin I. P. Rubinstein, Sandra Milligan
2016	A	`conf`	Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums. LAK Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin I. P. Rubinstein
2015	J	`jnl`	A safe region based approach to moving KNN queries in obstructed space. Knowl. Inf. Syst. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu
2015	J	`jnl`	Analysis and evaluation of the top-k most influential location selection query. Knowl. Inf. Syst. Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang
2015	J	`jnl`	Destination Prediction by Identifying and Clustering Prominent Features from Public Trajectory Datasets. EAI Endorsed Trans. Scalable Inf. Syst. Li Yang, Andy Yuan Xue, Yuan Li, Rui Zhang
2015	J	`jnl`	Exploiting velocity distribution skew to speed up moving object indexing. Inf. Syst. Thi Nguyen, Zhen He, Rui Zhang, Phillip G. D. Ward
2015	J	`jnl`	Guest Editorial: Data Management and Analysis in Location-Based Social Networks. Distributed Parallel Databases Rui Zhang, Timos K. Sellis, Yu Zheng, Mohamed F. Mokbel
2015	A*	`conf`	Identifying At-Risk Students in Massive Open Online Courses. AAAI Jiazhen He, James Bailey, Benjamin I. P. Rubinstein, Rui Zhang
2015	J	`jnl`	Indexable online time series segmentation with error bound guarantee. World Wide Web Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen, Dan Wu
2015	B	`conf`	K-Nearest Neighbor Temporal Aggregate Queries. EDBT Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang
2015	J	`jnl`	MOOCs Meet Measurement Theory: A Topic-Modelling Approach. CoRR Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, Jeffrey Chan
2015	J	`jnl`	MapReduce based location selection algorithm for utility maximization with capacity constraints. Computing Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, Xiaoyong Du
2015	A*	`conf`	Scalable Hypergraph Learning and Processing. ICDM Jin Huang, Rui Zhang, Jeffrey Xu Yu
2015	—	`conf`	Skyline Trips of Multiple POIs Categories. DASFAA (2) Saad Aljubayrin, Zhen He, Rui Zhang
2015	J	`jnl`	Solving the data sparsity problem in destination prediction. VLDB J. Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li
2015	A*	`conf`	The safest path via safe zones. ICDE Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Zeyi Wen
2014	J	`jnl`	Continuous visible k nearest neighbor query on moving objects. Inf. Syst. Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu, Ge Yu
2014	J	`jnl`	Efficient Graph Based Approach to Large Scale Role Engineering. Trans. Data Priv. Dana Zhang, Kotagiri Ramamohanarao, Rui Zhang, Steven Versteeg
2014	Misc	`conf`	Efficient Subgraph Matching Using GPUs. ADC Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi
2014	A	`conf`	Enabling Precision/Recall Preferences for Semi-supervised SVM Training. CIKM Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao
2014	—	`conf`	Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. DASFAA (2) Jiazhen He, James Bailey, Rui Zhang
2014	J	`jnl`	LIMTopic: A Framework of Incorporating Link Based Importance into Topic Modeling. IEEE Trans. Knowl. Data Eng. Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Xiwu Gu, Kunmei Wen
2014	A*	`conf`	MASCOT: Fast and Highly Scalable SVM Cross-Validation Using GPUs and SSDs. ICDM Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry L. Taylor
2014	A*	`conf`	MELODY-JOIN: Efficient Earth Mover's Distance similarity joins using MapReduce. ICDE Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen
2014	J	`jnl`	Processing Moving kNN Queries Using Influential Neighbor Sets. Proc. VLDB Endow. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Wang Yi
2014	J	`jnl`	Real-time continuous intersection joins over large sets of moving objects using graphic processing units. VLDB J. Phillip G. D. Ward, Zhen He, Rui Zhang, Jianzhong Qi
2014	J	`jnl`	The min-dist location selection and facility replacement queries. World Wide Web Jianzhong Qi, Rui Zhang, Yanqiu Wang, Andy Yuan Xue, Ge Yu, Lars Kulik
2014	J	`jnl`	Towards a Painless Index for Spatial Objects. ACM Trans. Database Syst. Rui Zhang, Jianzhong Qi, Martin Stradling, Jin Huang
2014	J	`jnl`	Traffic Information Publication with Privacy Preservation. ACM Trans. Intell. Syst. Technol. Sashi Gurung, Dan Lin, Wei Jiang, Ali R. Hurson, Rui Zhang
2013	J	`jnl`	Activities of ACM SIGSPATIAL Australia chapter in 2012. ACM SIGSPATIAL Special Rui Zhang, Mohamed A. Sharaf
2013	J	`jnl`	ComMapReduce: An improvement of MapReduce with lightweight communication mechanisms. Data Knowl. Eng. Linlin Ding, Guoren Wang, Junchang Xin, Xiaoyang Wang, Shan Huang, Rui Zhang
2013	J	`jnl`	Countering overlapping rectangle privacy attack for moving kNN queries. Inf. Syst. Tanzima Hashem, Lars Kulik, Rui Zhang
2013	J	`jnl`	DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection. Proc. VLDB Endow. Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jianhui Yu, Yong Tang
2013	A*	`conf`	Destination prediction by sub-trajectory synthesis and privacy protection against such prediction. ICDE Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu
2013	—	`conf`	Feel Free to Check-in: Privacy Alert against Hidden Location Inference Attacks in GeoSNs. DASFAA (1) Zheng Huo, Xiaofeng Meng, Rui Zhang
2013	Misc	`ed.`	Twenty-Fourth Australasian Database Conference, ADC 2013, Adelaide, Australia, February 2013 ADC Hua Wang, Rui Zhang
2013	C	`ed.`	Web Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Sydney, Australia, April 4-6, 2013. Proceedings APWeb Yoshiharu Ishikawa, Jianzhong Li, Wei Wang, Rui Zhang, Wenjie Zhang
2012	J	`jnl`	A highly optimized algorithm for continuous intersection join queries over moving objects. VLDB J. Rui Zhang, Jianzhong Qi, Dan Lin, Wei Wang, Raymond Chi-Wing Wong
2012	B	`conf`	An adaptive algorithm for online time series segmentation with error bound guarantee. EDBT Zhenghua Xu, Rui Zhang, Kotagiri Ramamohanarao, Udaya Parampalli
2012	J	`jnl`	Boosting Moving Object Indexing through Velocity Partitioning CoRR Thi Nguyen, Zhen He, Rui Zhang, Phillip Ward
2012	J	`jnl`	Boosting Moving Object Indexing through Velocity Partitioning. Proc. VLDB Endow. Thi Nguyen, Zhen He, Rui Zhang, Phillip Ward
2012	J	`jnl`	Continuous Detour Queries in Spatial Networks. IEEE Trans. Knowl. Data Eng. Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, Kotagiri Ramamohanarao
2012	J	`jnl`	DuoWave: Mitigating the curse of dimensionality for uncertain data. Data Knowl. Eng. Chunyang Ma, Rui Zhang, Xuemin Lin, Gang Chen
2012	A	`conf`	Location selection for utility maximization with capacity constraints. CIKM Yu Sun, Jin Huang, Yueguo Chen, Rui Zhang, Xiaoyong Du
2012	J	`jnl`	Probabilistic Voronoi diagrams for probabilistic moving nearest neighbor queries. Data Knowl. Eng. Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao
2012	A*	`conf`	RankTopic: Ranking Based Topic Modeling. ICDM Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen
2012	A*	`conf`	The Min-dist Location Selection Query. ICDE Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue
2012	—	`conf`	Top-k Most Incremental Location Selection with Capacity Constraint. WAIM Yu Sun, Jin Huang, Yueguo Chen, Xiaoyong Du, Rui Zhang
2012	Misc	`ed.`	Twenty-Third Australasian Database Conference, ADC 2012, Melbourne, Australia, January 2012 ADC Rui Zhang, Yanchun Zhang
2011	J	`jnl`	A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy CoRR Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu
2011	J	`jnl`	A MovingObject Index for Efficient Query Processing with Peer-Wise Location Privacy. Proc. VLDB Endow. Dan Lin, Christian S. Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu
2011	Misc	`conf`	Accelerating Spatial Join Operations using Bit-Indices. ADC Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, Rui Zhang
2011	J	`jnl`	Clustering Web video search results based on integration of multiple features. World Wide Web Alex Hindle, Jie Shao, Dan Lin, Jiaheng Lu, Rui Zhang
2011	J	`jnl`	Privacy Preserving Moving KNN Queries CoRR Tanzima Hashem, Lars Kulik, Rui Zhang
2011	J	`jnl`	Probabilistic Voronoi Diagrams for Probabilistic Moving Nearest Neighbor Queries CoRR Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Kotagiri Ramamohanarao
2011	Misc	`conf`	Processing Spatio-Temporal Queries in a Streaming Fashion. ADC Rui Zhang
2011	A	`conf`	Top-k most influential locations selection. CIKM Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He
2010	J	`jnl`	A motion-aware approach for efficient evaluation of continuous queries on 3D object databases. VLDB J. Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars Kulik
2010	J	`jnl`	Analysis and evaluation of V*- VLDB J. Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik
2010	J	`jnl`	Dominating sets in directed graphs. Inf. Sci. Chaoyi Pang, Rui Zhang, Qing Zhang, Junhu Wang
2010	J	`jnl`	Enhancing the B Inf. Process. Lett. Cui Yu, James Bailey, Julian Montefusco, Rui Zhang, Jiling Zhong
2010	—	`conf`	Graph based strategies to role engineering. CSIIRW Dana Zhang, Kotagiri Ramamohanarao, Steven Versteeg, Rui Zhang
2010	J	`jnl`	High-dimensional kNN joins with incremental updates. GeoInformatica Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong
2010	J	`jnl`	Incremental Evaluation of Visible Nearest Neighbor Queries. IEEE Trans. Knowl. Data Eng. Sarana Nutanong, Egemen Tanin, Rui Zhang
2010	A*	`conf`	Mining distribution change in stock order streams. ICDE Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao
2010	J	`jnl`	Optimized algorithms for predictive range and KNN queries on moving objects. Inf. Syst. Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao
2010	B	`conf`	Privacy preserving group nearest neighbor queries. EDBT Tanzima Hashem, Lars Kulik, Rui Zhang
2010	Misc	`conf`	Recursive partitioning method for trajectory indexing. ADC Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, Rui Zhang
2010	J	`jnl`	Streaming multiple aggregations using phantoms. VLDB J. Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou
2010	J	`jnl`	The HV-tree: a Memory Hierarchy Aware Version Index. Proc. VLDB Endow. Rui Zhang, Martin Stradling
2009	—	`ch.`	Data Reduction. Encyclopedia of Database Systems Rui Zhang
2009	—	`ch.`	Nonparametric Data Reduction Techniques. Encyclopedia of Database Systems Rui Zhang
2009	—	`ch.`	Parametric Data Reduction Techniques. Encyclopedia of Database Systems Rui Zhang
2009	A	`conf`	RoleVAT: Visual Assessment of Practical Need for Role Based Access Control. ACSAC Dana Zhang, Kotagiri Ramamohanarao, Steven Versteeg, Rui Zhang
2009	J	`jnl`	Spatio-temporal database research at the University of Melbourne. SIGMOD Rec. Egemen Tanin, Rui Zhang, Lars Kulik
2009	A*	`conf`	V*-kNN: An Efficient Algorithm for Moving k Nearest Neighbor Queries. ICDE Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik
2008	A*	`conf`	A Motion-Aware Approach to Continuous Retrieval of 3D Objects. ICDE Mohammed Eunus Ali, Rui Zhang, Egemen Tanin, Lars Kulik
2008	A*	`conf`	Continuous Intersection Joins Over Moving Objects. ICDE Rui Zhang, Dan Lin, Kotagiri Ramamohanarao, Elisa Bertino
2008	B	`conf`	Load Balancing for Moving Object Management in a P2P Network. DASFAA Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars Kulik
2008	J	`jnl`	The V*-Diagram: a query-dependent approach to moving KNN queries. Proc. VLDB Endow. Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik
2008	J	`jnl`	Transaction time indexing with version compression. Proc. VLDB Endow. David B. Lomet, Mingsheng Hong, Rimma V. Nehme, Rui Zhang
2008	—	`ch.`	iDistance Techniques. Encyclopedia of GIS H. V. Jagadish, Beng Chin Ooi, Rui Zhang
2007	B	`conf`	Visible Nearest Neighbor Queries. DASFAA Sarana Nutanong, Egemen Tanin, Rui Zhang
2006	A*	`conf`	Effective Density Queries on ContinuouslyMoving Objects. ICDE Christian S. Jensen, Dan Lin, Beng Chin Ooi, Rui Zhang
2006	J	`jnl`	Indexing Fast Moving Objects for kNN Queries Based on Nearest Landmarks. GeoInformatica Dan Lin, Rui Zhang, Aoying Zhou
2006	A*	`conf`	Similarity Search: A Matching Based Approach. VLDB Anthony K. H. Tung, Rui Zhang, Nick Koudas, Beng Chin Ooi
2005	J	`jnl`	Generalized multidimensional data mapping and query processing. ACM Trans. Database Syst. Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan
2005	—	`conf`	Multiple Aggregations Over Data Streams. SIGMOD Conference Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava
2005	J	`jnl`	iDistance: An adaptive B ACM Trans. Database Syst. H. V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Rui Zhang
2004	A*	`conf`	Approximate NN queries on Streams with Guaranteed Error/performance Bounds. VLDB Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhang
2004	A*	`conf`	Making the Pyramid Technique Robust to Query Types and Workloads. ICDE Rui Zhang, Beng Chin Ooi, Kian-Lee Tan