Publications of Rui Zhang

  1. Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi and Rui Zhang. pFedDKS: Detached Knowledge Sharing for Personalized Federated Learning. The ACM WEB Conference (WWW) 2026.
    　
  2. Senyao Li, Haozhao Wang, Wenchao Xu, Rui Zhang, Song Guo, Jingling Yuan, Xian Zhong, Tianwei Zhang, Ruixuan Li. Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges. ACM Computing Surveys. 2026.
    　
  3. Qiyu Qin, Yichen Li, HaozhaoWang, Cheng Wang, Rui Zhang, Ruixuan Li. Unbiased Rectification for Sequential Recommender Systems under Fake Orders. AAAI 2026.
    　
  4. Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li. Data-Centric Sequential Recommendation with Relation-Augmented Generation. AAAI 2026.
    　
  5. Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li. Unleashing the power of continual learning on non-centralized devices: A survey. IEEE Communications and Tutorials. 28: 1059-1098, 2026.
    　
  6. Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li. Resource-Constrained Federated Continual Learning: What Does Matter? NeurIPS 2025.
    　
  7. Xiaoquan Yi, Haozhao Wang, Yining Qi, Wenchao Xu, Rui Zhang, Yuhua Li, Ruixuan Li. ChatbotID: Identifying Chatbots with Granger Causality Test. NeurIPS 2025.
    　
  8. Ziwen Zhao, Yixin Su, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang. A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective. IEEE Transactions on Knowledge and Data Engineering (TKDE). 37(8): 4389-4410, 2025.
    　
  9. Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang. ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences. The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025. 4670-4681.
    　
  10. 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. IEEE Internet of Things Journal, 12(15): 29333-29342, 2025.
    　
  11. Yixin Su,Wei Jiang, Fangquan Lin,ChengYang, Sarah M. Erfani, Junhao Gan,YunxiangZhao, RuixuanLi, Rui Zhang. Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios, ACM Transactions on Information Systems, 43(3), 82, 1-32, 2025.
    　
  12. Guanghao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu, Qing Li, Gang Wang, Rui Zhang, Yong Jiang, EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models, AAAI 2025.
    　
  13. Tu Gu, Kaiyu Feng, Jingyi Yang, Gao Cong, Cheng Long, Rui Zhang, BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data, ACM SIGMOD Conference 2025.
    　
  14. Weixi Weng, Jieming Zhu, Hao Zhang, Xiaojun Meng, Rui Zhang, Chun Yuan, Unsupervised Domain Adaptive Visual Question Answering in the era of Multi-modal Large Language Models, WACV 2025.
    　
  15. Haojie Wei, Jun Yuan, Rui Zhang, Quanyu Dai, Yueguo Chen, MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation, ACM Multimedia (MM) 2024.
    　
  16. Xiaoyan Zhao, Yang Deng, Min Yang, Lingzhi Wang, Rui Zhang, Hong Cheng, Wai Lam, Ying Shen, Ruifeng Xu, A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers, ACM Computing Surveys, 56 (11), 293, pp 1-39, 2024.
    　
  17. Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng, UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning, Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, (CIKM) 2024.
    　
  18. Xiaoyan Zhao, Lingzhi Wang, Zhanghao Wang, Hong Cheng, Rui Zhang, Kam-Fai Wong, Pacar: Automated fact-checking with planning and customized action reasoning using large language models, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024): pp 12564-12573.
    　
  19. Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm, 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2024.
    　
  20. Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu, Xi Xiao, PMG : Personalized Multimodal Generation with Large Language Models, The Web Conference 2024. (Slides of Multimodal Generation for Recommendation)
    　
  21. Jieming Zhu, Chuhan Wu, Rui Zhang, Zhenhua Dong, Multimodal Pretraining and Generation for Recommendation: A Tutorial, The Web Conference 2024.
    　
  22. Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia, RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction, The Web Conference 2024.
    　
  23. Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin, Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure, The 17th ACM International Conference Web Search and Data Mining (WSDM) 2024. Best Paper Honorable Mention Award.
    　
  24. Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan, User Behavior Enriched Temporal Knowledge Graph for Sequential Recommendation, The 17th ACM International Conference Web Search and Data Mining (WSDM) 2024.
    　
  25. Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang, IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation, The 17th ACM International Conference Web Search and Data Mining (WSDM) 2024.
    　
  26. Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang, Embedding Compression in Recommender Systems: A Survey, ACM Computing Surveys, 56 (5), pp 1–21, 2024.
    　
  27. Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, and Yong Yu, Multi-sourced Integrated Ranking with Exposure Fairness, The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024.
    　
  28. Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi, AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models, IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(6) June 2024, pp 2357 - 2371.
    　
  29. Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen, REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths, The 37th Annual Conference on Neural Information Processing Systems (NeurIPS) 2023.
    　
  30. Jinpeng Wang, Ziyun Zeng, Yunxiao Wang, Yuting Wang, Xingyu Lu, Tianxiang Li, Jun Yuan, Rui Zhang, Hai-Tao Zheng, Shu-Tao Xia. MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation. ACM MM Conference (MM) 2023.
    　
  31. Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang. Data-free Knowledge Distillation for Reusing Recommendation Models. Proceedings of the 17th ACM Conference on Recommender Systems (RecSys) 2023, pages 386-395.
    　
  32. Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang. Gradient Matching for Categorical Data Distillation in CTR Prediction. Proceedings of the 17th ACM Conference on Recommender Systems (RecSys) 2023, pages 161-170.
    　
  33. Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Y. Zhu, Rui Zhang, Yong Yu. On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023, pages 5225-5236.
    　
  34. Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang. Hierarchical Projection Enhanced Multi-behavior Recommendation. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023, pages 4649-4660.
    　
  35. Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang. PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023, pages 1498-1507.
    　
  36. Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. FINAL: Factorized Interaction Layer for CTR Prediction. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2023, pages 2006-2010.
    　
  37. Yoo Hongsang, Li Haopeng, Ke Qiuhong, Liu Liangchen, Zhang Rui. Precondition and effect reasoning for action recognition. Computer Vision and Image Understanding, Volume 232, July 2023, pages 103691.
    　
  38. Haojie Wei, Jun Yuan, Rui Zhang, Yueguo Chen, Gang Wang. JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval. The 32nd International Joint Conference on Artificial Intelligence (IJCAI) 2023, pages 4892-4902.
    　
  39. Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li, Rui Zhang. CSGCL: Community-Strength-Enhanced Graph Contrastive Learning. The 32nd International Joint Conference on Artificial Intelligence (IJCAI) 2023, pages 2059-2067
    　
  40. Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Dai Quanyu, Lin Bo, Rui Zhang and Ruiming Tang. Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. Proceedings of the ACM Web Conference (WWW) 2023.
    　
  41. Wei Guo, Chang Meng, Enming Yuan, ZhiCheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang. Compressed Interaction Graph based Framework for Multi-behavior Recommendation. Proceedings of the ACM Web Conference (WWW) 2023 Pages 960–970.
    　
  42. Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang. Recommendation with Causality enhanced Natural Language Explanations. Proceedings of the ACM Web Conference (WWW) 2023 Pages 876–886.
    　
  43. Bayu D. Trisedya, Jianzhong Qi, Haitao Zheng, Flora D. Salim, Rui Zhang. TransCP: A Transformer Pointer Network for Generic Entity Description Generation with Explicit Content-Planning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35 (12), 2023.
    　
  44. Yunxiang Zhao, Jianzhong Qi, Bayu D. Trisedya, Yixin Su, Rui Zhang, Hongguang Ren. Learning Region Similarities via Graph-based Deep Metric Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35 (10) pp. 10237-10250, 2023.
    　
  45. Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming. Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Transactions on Information Systems (TOIS), 41(4), 1-26, 2023.
    　
  46. Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu. A Bird's-eye View of Reranking: From List Level to Page Level. The 16th ACM International Conference on Web Search and Data Mining (WSDM) 2023. Pages 1075–1083.
    　
  47. Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu. An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. The 16th ACM International Conference on Web Search and Data Mining (WSDM) 2023. Pages 1057–1065.
    　
  48. Shiwei Li, Huifeng Guo, Lu Hou, Wei zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li. Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023.
    　
  49. Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li. Fair-CDA: Continuous and Directional Augmentation for Group Fairness. The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023.
    　
  50. Caesar Wu, Kotagiri Ramamohanarao, Rui Zhang, Pascal Bouvry. Strategic Decisions Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Computing Surveys, 55(12), 1–30, 2023.
    　
  51. Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang. Personalized Diversification for Neural Re-ranking in Recommendation. Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE) 2023.
    　
  52. Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang. Video Joint Modelling Based on Hierarchical Transformer for Co-summarization. Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(3), 3904 - 3917, 2023. (source code)
    　
  53. 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. The 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022.
    　
  54. Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shutao Xia, Ruiming Tang. LCD: Adaptive Label Correction for Denoising Music Recommendation. The 31st ACM International Conference on Information & Knowledge Management (CIKM) 2022.
    　
  55. Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang. Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022.
    　
  56. Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun. A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022.
    　
  57. Yixin Su, Yunxiang Zhao, Sarah Erfani, Junhao Gan, Rui Zhang. Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2022. (source code)
    　
  58. Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang. Neural Re-ranking in Multi-stage Recommender Systems: A Review. The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI) 2022. (source code)
    　
  59. Lin (Yuanbo) Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang. Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. The 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI) 2022.
    　
  60. Zhenghua, Shijie Liu, Di Yuan, Lei Wang, Junyang Chen, Thomas Lukasiewicz, Zhigang Fu, Rui Zhang. ω-net: Dual supervised medical image segmentation with multi-dimensional self-attention and diversely-connected multi-scale convolution. Neurocomputing, 500, 177-190, 2022.
    　
  61. Jieming Zhu, Quanyu Dai, LiangCai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang. BARS: Towards Open Benchmarking for Recommender Systems. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022. (source code and datasets)
    　
  62. Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu. Multi-Level Interaction Reranking with User Behavior History. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022.
    　
  63. Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang. RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022.
    　
  64. Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang. ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2022.
    　
  65. Rui Zhang, Bayu D. Trisedya, Miao Li, Yong Jiang, and Jianzhong Qi. A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning. VLDB Journal, 31 (5), 1143–1168, 2022. (source code)
    　
  66. Shiquan Yang, Rui Zhang, Sarah Erfani, Jey Han Lau. An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation. 59th Annual Meeting of the Association for Computational Linguistics (ACL) 2022.
    　
  67. Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He. Contrastive Learning with Positive-Negative Frame Mask for Music Representation. The Web Conference (WWW), 2022, Pages 2906–2915.
    　
  68. Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu. Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction.  Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE) 2022.
    　
  69. Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang. MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. Proceedings of the 38th IEEE International Conference on Data Engineering (ICDE) 2022.
    　
  70. Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He. Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. The 36th AAAI Conference on Artificial Intelligence (AAAI) 2022.
    　
  71. Bayu D. Trisedya, Jianzhong Qi, Wei Wang, and Rui Zhang. GCP: Graph Encoder with Content-Planning for Sentence Generation from Knowledge Base. Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 44(11), 7521 - 7533, 2022.
    　
  72. Yu Gu, Kaiqiang Yu, Zhen Song, Jianzhong Qi, Zhigang Wang, Ge Yu, and Rui Zhang. Distributed Hypergraph Processing Using Intersection Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(7), 3182 - 3195, 2022.
    　
  73. Yang Song, Yu Gu, Rui Zhang and Ge Yu. BrePartition: Optimized High-Dimensional kNN Search with Bregman Distances. IEEE Transactions on Knowledge and Data Engineering (TKDE), 34(3), 1053 - 1065, 2022.
    　
  74. Bayu Distiawan Trisedya, Xiaojie Wang, Jianzhong Qi, Rui Zhang, Qingjun Cui. Grouped-Attention for Content-Selection and Content-Plan Generation. The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 2021.
    　
  75. Shiquan Yang, Rui Zhang, Sarah M. Erfani, Jey Han Lau. UniMF: A Unified Framework to Incorporate Multimodal Knowledge Bases into End-to-End Task-Oriented Dialogue Systems. International Joint Conference on Artificial Intelligence (IJCAI) 2021.
    　
  76. Ang Li, Qiuhong Ke, Xingjun Ma, Haiqin Weng, Zhiyuan Zong, Feng Xue, Rui Zhang. Noise Doesn’t Lie: Towards Universal Detection of Deep Inpainting. International Joint Conference on Artificial Intelligence (IJCAI) 2021. 
    　
  77. Yixin Su, Rui Zhang, Sarah M. Erfani, Junhao Gan. Neural Graph Matching based Collaborative Filtering.  The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021  Code and Data
    　
  78. Yunxiang Zhao, Jianzhong Qi, Qingwei Liu, Rui Zhang. WGCN: Graph Convolutional Networks with Weighted Structural Features. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) 2021  Code and Data
    　
  79. Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang, Prototypical Representation Learning for Relation Extraction. The Ninth International Conference on Learning Representations (ICLR) 2021.
    　
  80. Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu, Detecting Beneficial Feature Interactions for Recommender Systems. The 35th AAAI Conference on Artificial Intelligence (AAAI) 2021.  Code and Data
    　
  81.  Yang Song, Yu Gu, Rui Zhang, Ge Yu, ProMIPS: Efficient High-Dimensional c-Approximate Maximum Inner Product Search with a Lightweight Index. Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE) 2021.
    　
  82. Yimeng Dai, Rui Zhang, Jianzhong Qi, Automatic Webpage Briefing. Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE) 2021.
    　
  83. Yaoshu Wang, Chuan Xiao, Jianbin Qin, Rui Mao, Onizuka Makoto, Wei Wang, Rui Zhang, Consistent and Flexible Selectivity Estimation for High-Dimensional Data. Proceedings of ACM Conference on Management of Data (SIGMOD) 2021.
    　
  84. Hao Wu, Junhao Gan, Zhewei Wei, Rui Zhang, Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push. Proceedings of ACM Conference on Management of Data (SIGMOD) 2021.
    　
  85. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi, Combating Selection Biases in Recommender Systems with A Few Unbiased Ratings. The 14th ACM International Conference on Web Search and Data Mining (WSDM) 2021.
    　
  86. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi, Adversarial Distillation for Learning with Privileged Provisions. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 43(3), 786-797, 2021.
    　
  87. Xinting Huang, Jianzhong Qi, Yu Sun, and Rui Zhang. Generalizable and Explainable Dialogue Generation via Explicit Action Learning. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Findings of EMNLP, 3981-3991, 2020.
    　
  88. Shiquan Yang, Rui Zhang, Sarah Erfani, GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems, The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2020.
    　
  89. Yunxiang Zhao, Qiuhong Ke, Flip Korn, Jianzhong Qi, and Rui Zhang. HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks. 20th IEEE International Conference on Data Mining (ICDM) 2020.
    　
  90. Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, and Ramamohanarao Kotagiri. Short-Term and Long-Term Context Aggregation Network for Video Inpainting. 16th European Conference on Computer Vision (ECCV) 2020.
    　
  91. Hao Wu, Junhao Gan, Rui Zhang. Learning Based Distributed Tracking. 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2020.
    　
  92. Fuqiang Gu, Shahrokh Valaee, Kourosh Khoshelham, Jianga Shang, Rui Zhang. Landmark Graph-based Indoor Localization. IEEE Internet of Things Journal, 2020.
    　
  93. Jianzhong Qi, Rui Zhang. Indexing. Encyclopedia of Big Data Technologies, 2020.
    　
  94. Jianzhong Qi, Rui Zhang. Query Processing-kNN. Encyclopedia of Big Data Technologies, 2020.
    　
  95. Jianzhong Qi, Yufei Tao, Yanchuan Chang, and Rui Zhang. Packing R-trees with Space-Filling Curves: Theoretical Optimality, Empirical Efficiency, and Bulk-loading Parallelizability. ACM Transactions on Database Systems (TODS), 45(3): 14, 1-47, 2020.
    　
  96. Xinting Huang, Jianzhong Qi, Yu Sun and Rui Zhang, Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation, 57th Annual Meeting of the Association for Computational Linguistics (ACL), 2020.
    　
  97. Yimeng Dai, Rui Zhang, Jianzhong Qi, Person Name Recognition with Fine-grained Annotation. Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), 2020.
    　
  98. Yimeng Dai, Jianzhong Qi, and Rui Zhang. Joint Recognition of Names and Publications in Academic Homepages. The 13th ACM International Conference on Web Search and Data Mining (WSDM 2020), 133-141, 2020.
    　
  99. Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, MALA: Cross-Domain Dialogue Generation with Action Learning. Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
    　
  100. Jianzhong Qi, Wei Wang, Rui Zhang, and Zhuowei Zhao. A Learning Based Approach to Predict Shortest-Path Distances. 23th International Conference on Extending Database Technology (EDBT), 2020.
    　
  101. Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Sentence Generation for Entity Description with Content-plan Attention. Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2020), 2020.
    　
  102. Hongfei Xu, Yu Gu, Yu Sun, Jianzhong Qi, Ge Yu, Rui Zhang, Efficient processing of moving collective spatial keyword queries. VLDB Journal, accpeted in Nov 2019.
    　
  103. Bayu Distiawan Trisedya, Gerhard Weikum, Jianzhong Qi, Rui Zhang. Neural Relation Extraction for Knowledge Base Enrichment. 56th Annual Meeting of the Association for Computational Linguistics (ACL) 2019.
    　
  104. Ang Li, Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao. Generative Image Inpainting with Submanifold Alignment, International Joint Conference on Artificial Intelligence (IJCAI) 2019.  http://arxiv.org/abs/1908.00211
    　
  105. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random, The 36th International Conference on Machine Learning (ICML) 2019.
    　
  106. Yixin Su, Sarah Erfani, Rui Zhang. MMF: Attribute Interpretable Collaborative Filtering. International Joint Conference on Neural Networks (IJCNN) 2019. http://arxiv.org/abs/1908.01099
    　
  107. Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng. CARL: Aggregated Search with Context-Aware Module Embedding Learning, International Joint Conference on Neural Networks (IJCNN) 2019. http://arxiv.org/abs/1908.03141
    　
  108. Ang Li, Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao. Boosted GAN with Semantically Interpretable Information for Image Inpainting. International Joint Conference on Neural Networks (IJCNN) 2019. http://arxiv.org/abs/1908.04503
    　
  109. Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang. LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. International Joint Conference on Neural Networks (IJCNN) 2019.
    　
  110. Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang. Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews, International Joint Conference on Neural Networks (IJCNN) 2019.
    　
  111. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu. Moving kNN query processing in metric space based on influential sets. Information Systems, 83, 126-144, 2019.
    　
  112. Zhen Wang, Rui Zhang, Jianzhong Qi, Bo Yuan. DBSVEC: Density-Based Clustering Using Support Vector Expansion. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), 2019.
    　
  113. Zeyi Wen, Dong Deng, Rui Zhang, Kotagiri Ramamohanarao. 2ED: An Efficient Entity Extraction Algorithm using Two-Level Edit-Distance. Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), 2019.
    　
  114. Yunxiang Zhao, Jianzhong Qi, and Rui Zhang. CBHE: Corner-based Building Height Estimation for Complex Street Scene Images. The Web Conference (WWW), 2019.
    　
  115. Bayu Distiawan Trsedya, Jianzhong Qi, Rui Zhang. Entity Alignment between Knowledge Graphs Using Attribute Embeddings, Proceedings of the 33th AAAI Conference on Artificial Intelligence (AAAI 2019).
    　
  116. Wenkai Jiang, Jianzhong Qi, Jeffrey Xu Yu, Jin Huang, Rui Zhang. HyperX: A Scalable Hypergraph Framework. IEEE Transactions on Knowledge and Data Engineering (TKDE), 31 (5), 909 – 922, 2019.
    　
  117. Xi Zheng, Yuqun Zhang, Tianlei Zheng, Yao Deng, ErXi Dong, Rui Zhang, Xiao Liu, SmartVM: a SLA-aware microservice deployment framework,  World Wide Web Journal (WWWJ), 22, 275–293, 2019.
    　
  118. Tanzima Hashem, Lars Kulik, Kotagiri Ramamohanarao, Rui Zhang, Subarna Chowdhury Soma, Protecting Privacy for Distance and Rank Based Group Nearest Neighbor Queries, World Wide Web Journal (WWWJ), 22, 375–416, 2019.
    　
  119. Xiaojie Wang, Rui Zhang, Yu Sun, Jianzhong Qi. KDGAN: Knowledge Distillation with Generative Adversarial Networks, 32nd Conference on Neural Information Processing Systems (NIPS) 2018.
    　
  120. Chenxu Zhao, Rui Zhang, Jianzhong Qi. Web Page Template and Data Separation for Better Maintainability. 19th Conference on Web Information Systems Engineering (WISE), 2018.
    　
  121. Bayu Distiawan Trisedya, Jianzhong Qi, Rui Zhang, Wei Wang. GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data.  56th Annual Meeting of the Association for Computational Linguistics (ACL) 2018.
    　
  122. Fuqiang Gu, Kourosh Khoshelham, Shahrokh Valaee, Jianga Shang, Rui Zhang, Locomotion Activity Recognition Using Stacked Denoising Autoencoders, IEEE Internet of Things Journal, vol. 5, no. 3, pp. 2085-2093, June 2018.
    　
  123. Weihao Cheng, Sarah Erfani, Rui Zhang, Kotagiri Ramamohanarao. Predicting Complex Activities from Ongoing Multivariate Time Series. International Joint Conference on Artificial Intelligence (IJCAI), 2018.
    　
  124. Xiaojie Wang, Jianzhong Qi, Ramamohanarao Kotagiri, Yu Sun, Bo Li, and Rui Zhang. Joint Optimization Approach for Personalized Recommendation Diversification. 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD) 2018.
    　
  125. Chuandong Yin, Rui Zhang, Jianzhong Qi, Yu Sun, and Tenglun Tan. Context-Uncertainty-Aware Chatbot Action Selection via Parameterized Auxiliary Reinforcement Learning. 22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD) 2018.
    　
  126. Jianzhong Qi, Yufei Tao, Yanchuan Chang, Rui Zhang, Theoretically Optimal and Empirically Efficient Rtrees with Strong Parallelizability, Proceedings of the VLDB Endowment (PVLDB), 11(5), 2018.
    　
  127. Mingzhao Li, Zhifeng Bao, Timos Sellis, Shi Yan, Rui Zhang, HomeSeeker: A visual analytics system of real estate data, Journal of Visual Languages & Computing, 45, 1-16, 2018.
    　
  128. Jianzhong Qi, Vivek Kumar, Rui Zhang, Egemen Tanin, Goce Trajcevski, and Peter Scheuermann. Continuous Maintenance of Range Sum Heat Maps. Proceedings of the 33th IEEE International Conference on Data Engineering (ICDE) 2018. (demo).
    　
  129. Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang, A Unified Processing Paradigm for Interactive Location-based Web Search, The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018).
    　
  130. Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao, Learning Datum-Wise Sampling Frequency for Energy-Efficient Human Activity Recognition, Proceedings of the 32th AAAI Conference on Artificial Intelligence (AAAI 2018).
    　
  131. Xiaojie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, Rui Zhang, Search Result Diversity Evaluation based on Intent Hierarchies, IEEE Transactions on Knowledge and Data Engineering (TKDE), 30 (1): 156-169, 2018.
    　
  132. Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Li Yang, Scalable and fast SVM regression using modern hardware, World Wide Web Journal (WWWJ), 21(2): 261-287, 2018.
    　
  133. Weihao Cheng, Sarah M. Erfani, Rui Zhang, Kotagiri Ramamohanarao: Accurate Recognition of the Current Activity in the Presence of Multiple Activities. 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining (PAKDD) 2017: 39-50
    　
  134. Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang. Collaborative Intent Prediction with Real-Time Contextual Data, ACM Transactions on Information Systems (TOIS), 35 (4), 30, 2017.
    　
  135. Weihao Cheng, Sarah M. Erfani, Ruiand Zhang, Kotagiri Ramamohanarao, “Markov Dynamic Subsequence Ensemble for Energy-Efficient Activity Recognition”, International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2017
    　
  136. Saad Aljubayrin, Jianzhong Qi, Christian S. Jensen, Rui Zhang, Zhen He, Yuan Li. Finding Lowest-Cost Paths in Settings with Safe and Preferred Zones. VLDB Journal, 26(3): 373-397, 2017.
    　
  137. Zeyi Wen, Bin Li, Rao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang. Improving Efficiency of SVM k-fold Cross-validation by Alpha Seeding. Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), 2017
    　
  138. Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, and Rui Zhang. The Moving K Diversified Nearest Neighbor Query. IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(10): 2778-2792, 2016.
    　
  139.   Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang. Contextual Intent Tracking for Personal Assistants, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2016.  Best Student Paper Award for the Applied Data Science track.   Video
    　
  140. Sandra Milligan, Jiazhen He, James Bailey, Rui Zhang, Benjamin IP Rubinstein, Validity: a framework for cross-disciplinary collaboration in mining indicators of learning from MOOC forums, Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 546-547, 2016.
    　
  141. Saad Aljubayrin, Bin Yang, Christian S. Jensen, Rui Zhang, Finding non-dominated paths in uncertain road networks. Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, (SIGSPATIAL/GIS) 2016: 15:1-15:10.
    　
  142. Xiaojie Lin, Ye Gu, Rui Zhang, Ju Fan, Linking News and Tweets. 27th Australasian Database Conference (ADC) 2016: 467-470
    　
  143. Gitansh Khirbat, Jianzhong Qi, and Rui Zhang. N-ary Biographical Relation Extraction using Shortest Path Dependencies. 14th Annual Workshop of The Australasian Language Technology Association (ALTA), 2016.
    　
  144. Gitansh Khirbat, Jianzhong Qi, and Rui Zhang. Disambiguating Entities Referred by Web Endpoints using Tree Ensembles. 14th Annual Workshop of The Australasian Language Technology Association (ALTA), 2016.
    　
  145. Kotagiri Ramamohanarao, Shanika Karunasekera, Lars Kulik, Egemen Tanin, Rui Zhang, Hairuo Xie, Eman Bin Khunayn. SMARTS: Scalable Microscopic Adaptive Road Traffic Simulator, ACM Transactions on Intelligent Systems and Technology (TIST), 8(2): 26:1-26:22, 2017.
    　
  146. Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang. Collaborative Nowcasting for Contextual Recommendation, WWW Conference 2016.
    　
  147. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, and Qingxu Deng. INSQ: An Influential Neighbor Set Based Moving kNN Query Processing System. Proceedings of the 31th IEEE International Conference on Data Engineering (ICDE) 2016. (demo).
    　
  148. Yu Sun, Rui Zhang, Andy Yuan Xue, Jianzhong Qi, Xiaoyong Du. Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration, Proceedings of the 31th IEEE International Conference on Data Engineering (ICDE) 2016. 966-977.
    　
  149. Jiazhen He, Benjamin I. P. Rubinstein, James Bailey, Rui Zhang, Sandra Milligan, and Jeffrey Chan. MOOCs Meet Measurement Theory: A Topic-Modelling Approach. Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'2016).
    　
  150. Jin Huang, Rui Zhang, Rajkumar Buyya, Jian Chen, Yongwei Wu, HEADS-JOIN: Efficient Earth Mover’s Distance Similarity Joins on Hadoop, IEEE Transactions on Parallel and Distributed Systems (TPDS), 27(6): 1660-1673, 2016.
    　
  151. Jin Huang, Rui Zhang, and Jeffrey Xu Yu. Scalable Hypergraph Processing, The IEEE International Conference on Data Mining (ICDM), 2015. (Short)
    　
  152. Weichao Guo, Kang Chen, Huan Feng, Yongwei Wu, Rui Zhang, Weimin Zheng. MARS: Mobile Application Relaunching Speed-up through Flash-Aware Page Swapping, IEEE Transactions on Computers, 65(3): 916-928, 2016.
    　
  153. Thi Nguyena, Zhen He, Rui Zhang, Philip G. D. Ward, Exploiting velocity distribution skew to speed up moving object indexing, Information Systems, 51(c):72-104, 2015.
    　
  154. Yu Sun, Jianzhong Qi, Yu Zheng, Rui Zhang, K-Nearest Neighbor Temporal Aggregate Queries, Proceedings of the 18th International Conference on Extending Database Technology (EDBT), 2015.
    　
  155. Saad Aljubayrin, Zhen He, and Rui Zhang, Skyline Trips of Multiple POIs Categories, Proceedings of the The 20th International Conference on Database Systems for Advanced Applications (DASFAA), 2015.
    　
  156. Jiazhen He, James Bailey, Benjamin Rubinstein, Rui Zhang, Identifying At-Risk Students in Massive Open Online Courses, Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI), 2015.
    　
  157. Saad Aljubayrin, Jianzhong Qi, Christian Jensen, Rui Zhang, Zhen He, Zeyi Wen. The Safest Path via Safe Zones. Proceedings of the 31th IEEE International Conference on Data Engineering (ICDE) 2015.
    　
  158. Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen and Xiaoyong Du. MapReduce Based Location Selection Algorithm for Utility Maximization with Capacity Constraints. Computing, 97(4): 403-423, 2015.
    　
  159. Chuanwen Li, Yu Gu, Jianzhong Qi, Rui Zhang, Ge Yu. A Safe Region based Approach to Moving KNN Queries in Obstructed Space. Knowledge and Information Systems (KAIS), 45(2): 417-451, 2015.
    　
  160. Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, Yuan Li. Solving the Data Sparsity Problem in Destination Prediction. VLDB Journal, 24 (2): 219-243, 2015.
    　
  161. Jian Chen, Jin Huang, Zeyi Wen, Zhen He, Kerry Taylor, Rui Zhang. Analysis and Evaluation of the Top-k Most Influential Location Selection Query. Knowledge and Information Systems (KAIS), 43 (1): 181-217, 2015.
    　
  162. Jianzhong Qi, Rui Zhang, Kotagiri Ramamohanarao, Hongzhi Wang, Zeyi Wen and Dan Wu. Indexable Online Time Series Segmentation with Error Bound Guarantee. World Wide Web Journal (WWWJ), 18(2): 359-401, 2015.
    　
  163. Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao, Jianzhong Qi, Kerry Taylor. MASCOT: Fast and Highly Scalable SVM Cross-validation using GPUs and SSDs. The IEEE International Conference on Data Mining (ICDM), 2014
    　
  164. Chuanwen Li, Yu Gu, Jianzhong Qi, Ge Yu, Rui Zhang, Yi Wang. Processing Moving kNN Queries Using Influential Neighbor Sets. Proceedings of the VLDB Endowment (PVLDB),  vol.8 (2): 113 - 124, 2014. Source code.
    　
  165. Zeyi Wen, Rui Zhang, Kotagiri Ramamohanarao. Enabling Precision/Recall Preferences for Semi-supervised SVM Training. The 23rd ACM Conference on Information and Knowledge Management (CIKM), 2014.
    　
  166. 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 Journal,  23 (6): 965-985, 2014.
    　
  167. Xiaojie Lin, Rui Zhang, Zeyi Wen, Hongzhi Wang, Jianzhong Qi. Efficient Subgraph matching using GPUs. ADC, 2014.
    　
  168. Dana Zhang, Kotagiri Ramamohanarao, Rui Zhang, Steven Versteeg. Efficient Graph Based Approach to Large Scale Role Engineering, Transactions on Data Privacy 7:1, 1 - 26, 2014.
    　
  169. Yanqiu Wang, Rui Zhang, Chuanfei Xu, Jianzhong Qi, Yu Gu and Ge Yu. Continuous Visible k Nearest Neighbor Query on Moving Objects. Information Systems, 44: 1-21, 2014.
    　
  170. Rui Zhang, Jianzhong Qi, Martin Stradling and Jin Huang. Towards a Painless Index for Spatial Objects. ACM Transactions on Data Base Systems (TODS), 39(3): 19:1-19:42, 2014.
    　
  171. Dongsheng Duan, Yuhua Li , Ruixuan Li, Rui Zhang, Xiwu Gu, Kunmei Wen. LIMTopic: A Framework of Incorporating Link based Importance into Topic Modeling. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(10): 2493-2506. 2014.
    　
  172. Jiazhen He, James Bailey and Rui Zhang. Exploiting Transitive Similarity and Temporal Dynamics for Similarity Search in Heterogeneous Information Networks. Proceedings of the The 19th International Conference on Database Systems for Advanced Applications (DASFAA), pp 141-155, Bali, Indonesia, April 21-24, 2014.
    　
  173. Jin Huang, Rui Zhang, Rajkumar Buyya, and Jian Chen. MELODY-Join: Efficient Earth Mover's Distance Similarity Join Using MapReduce. Proceedings of the 30th IEEE International Conference on Data Engineering (ICDE) 2014.
    　
  174. Jianzhong Qi, Rui Zhang, Yanqiu Wang, Andy Yuan Xue, Ge Yu, Lars Kulik. The Min-dist Location Selection and Facility Replacement Queries. World Wide Web Journal (WWWJ), 17(6): 1261-1293, 2014.
    　
  175. Sashi Gurung, Dan Lin, Wei Jiang, Ali Hurson, Rui Zhang. Traffic Information Publication with Privacy Preservation. ACM Transactions on Intelligent Systems and Technology (TIST) , 5(3): 44:1-44:26, 2014.
    　
  176. Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jianhui Yu, Yong Tang. DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection. (Demo) Proceedings of the VLDB Endowment (PVLDB) vol.6(12):1198-1201, 2013.
    　
  177. Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu. Destination Prediction by Sub-Trajectory Synthesis and Privacy Protection Against Such Prediction. IEEE International Conference on Data Engineering (ICDE) 2013.
    　
  178. Zheng Huo, Xiaofeng Meng, Rui Zhang. Feel Free to Check-in: Privacy Alert against Hidden Location Inference Attacks in GeoSNs.  Proceedings of the 18th International Conference on Database Systems for Advanced Applications (DASFAA), 2013.
    　
  179. Tanzima Hashem, Lars Kulik, Rui Zhang. Countering Overlapping Rectangle Privacy Attack for Moving kNN Queries. Information Systems. 38(3): 430-453, 2013.
    　
  180. Linlin Ding, Guoren Wang, Junchang Xin, Xiaoyang Wang, Shan Huang, Rui Zhang. ComMapReduce: An Improvement of MapReduce with Lightweight Communication Mechanisms. Data and Knowledge Engineering (DKE). 88: 224-247, 2013.
    　
  181. Dongsheng Duan, Yuhua Li, Ruixuan Li, Rui Zhang, Aiming Wen. RankTopic: Ranking Based Topic Modeling. IEEE International Conference on Data Mining (ICDM) 2012.
    　
  182. Yu Sun, Jin Huang, Yueguo Chen, Rui Zhang, Xiaoyong Du, Location Selection for Utility Maximization with Capacity Constraints, 21th ACM Conference on Information and Knowledge Management (CIKM ) 2012. (Short Paper)
    　
  183. Yu Sun, Jin Huang, Yueguo Chen, Xiaoyong Du, Rui Zhang, Top-k Most Incremental Location Selection with Capacity Constraint, Web-Age Information Management (WAIM 2012).
    　
  184. Chunyang Ma, Rui Zhang, Xuemin Lin, Gang Chen. DuoWave: Mitigating the curse of dimensionality for uncertain data. Data and Knowledge Engineering (DKE). 76: 16-38, 2012.
    　
  185. Thi Nguyen, Zhen He, Rui Zhang, Phillip Ward. Boosting Moving Object Indexing through Velocity Partitioning. Proceedings of the VLDB Endowment (PVLDB) 2012, vol.5(9):860-871  / (VLDB) 2012.
    　
  186. Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Ramamohanarao Kotagiri. Probabilistic Voronoi Diagrams for Probabilistic Moving Nearest Neighbor Queries. Data and Knowledge Engineering (DKE). 75: 1-33, 2012.
    　
  187. Zhenghua Xu, Rui Zhang, Ramamohanarao Kotagiri, Udaya Parampalli. An Adaptive Algorithm for Online Time Series Segmentation with Error Bound Guarantee. 15th International Conference on Extending Database Technology (EDBT) 2012.
    　
  188. Jianzhong Qi, Rui Zhang, Lars Kulik, Dan Lin, Yuan Xue. The Min-dist Location Selection Query. IEEE International Conference on Data Engineering (ICDE) 2012.
    　
  189. Rui Zhang, Jianzhong Qi, Dan Lin, Wei Wang, Raymond Chi-Wing Wong. A Highly Optimized Algorithm for Continuous Intersection Join Queries over Moving Objects, VLDB Journal, 21(4): 561-586, 2012.
    　
  190. Sarana Nutanong, Egemen Tanin, Jie Shao, Rui Zhang, and Kotagiri Ramamohanarao. Continuous Detour Queries in Spatial Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 24(7): 1201-1215, 2012.
    　
  191. Dan Lin, Christian Jensen, Rui Zhang, Lu Xiao, Jiaheng Lu. A Moving Object Index for Efficient Query Processing with Peer-Wise Location Privacy, Proceedings of the VLDB Endowment (PVLDB) 2011, vol.5 / (VLDB) 2012. slides
    　
  192. Sumukh Ghodke, Steven Bird, Rui Zhang. A Breadth-First Representation for Tree Matching in Large Scale Forest-Based Translation. The 5th International Joint Conference on Natural Language Processing (IJCNLP) 2011
    　
  193. Jin Huang, Zeyi Wen, Jianzhong Qi, Rui Zhang, Jian Chen, Zhen He. Top-k Most Influential Locations Selection, 20th ACM Conference on Information and Knowledge Management (CIKM 2011).
    　
  194. Jin Huang, Zeyi Wen, Mukaddim Pathan, Kerry Taylor, Yuan Xue, Rui Zhang. Ranking Locations for Facility Selection based on Potential Influences, 37th Annual Conference of the IEEE Industrial Electronics Society (IECON 2011).
    　
  195. Alex Hindle, Jie Shao, Dan Lin, Jiaheng Lu, Rui Zhang. Clustering Web Video Search Results based on Integration of Multiple Features. World Wide Web Journal (WWWJ), 14(1): 53-73, 2011.
    　
  196. Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao, Rui Zhang. Accelerating Spatial Join Operations using Bit-Indices. Australasian Database Conference (ADC) 2011.
    　
  197. Rui Zhang, Martin Stradling. The HV-tree: a Memory Hierarchy Aware Version Index. Proceedings of the VLDB Endowment (PVLDB) 2010, 3(1): 397-408, 2010. slides
    　
  198. Chaoyi Pang, Rui Zhang, Qing Zhang, Junhu Wang. Dominating Sets in Directed Graphs. Information Sciences, 180(19): 3647-3652, 2010.
    　
  199. Rui Zhang, H. V. Jagadish, Bing Tian Dai, Kotagiri Ramamohanarao. Optimized Algorithms for Predictive Range and KNN Queries on Moving Objects. Information Systems, 35(8): 911-932, 2010.
    　
  200. Mohammed Eunus Ali, Egemen Tanin, Rui Zhang, Lars Kulik. A Motion-Aware Approach for Efficient Evaluation of Continuous Queries on 3D Object Databases, VLDB Journal, 19(5): 603-632, 2010.
    　
  201. Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava, Pu Zhou. Streaming Multiple Aggregations Using Phantoms, VLDB Journal, 19(4): 557-583, 2010.
    　
  202. Cui Yu, James Bailey, Julian Montefusco, Rui Zhang, Jiling Zhong. Enhancing the B+-Tree with Dynamic Node Popularity Caching, Information Processing Letters, 110 (7), 268-273, 2010.
    　
  203. Tanzima Hashem, Lars Kulik, Rui Zhang. Privacy Preserving Group Nearest Neighbor Queries, EDBT 2010.
    　
  204. Zhe Zhang, Jian Jiang, Xiaoyan Liu, Ricky Lau, Huaiqing Wang, Rui Zhang. A Real Time Hybrid Pattern Matching Scheme for Stock Time Series, ADC 2010.
    　
  205. Elizabeth Antoine, Kotagiri Ramamohanarao, Jie Shao and Rui Zhang. Recursive Partitioning Method for Trajectory Indexing, ADC 2010.
       
  206. Xiaoyan Liu, Xindong Wu, Huaiqing Wang, Rui Zhang, James Bailey, Kotagiri Ramamohanarao . Mining Distribution Change in Stock Order Streams, IEEE International Conference on Data Engineering (ICDE) 2010 (short paper).
    　
  207. Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik. Analysis and Evaluation of V*-kNN: An Efficient Algorithm for Moving kNN Queries, VLDB Journal, 19(3): 307-332, 2010. Slides
    　
  208. Sarana Nutanong, Egemen Tanin, Rui Zhang. Incremental Evaluation of Visible Nearest Neighbor Queries. IEEE Transactions on Knowledge & Data Engineering (TKDE), 22(5): 665-681, 2010.
    　
  209. Cui Yu, Rui Zhang, Yaochun Huang, Hui Xiong. High-dimensional kNN joins with incremental updates. GeoInformatica Journal, 1 (14), 55-82, 2010.
    　
  210. Rui Zhang: Nonparametric Data Reduction Techniques. Encyclopedia of Database Systems, 1912, Springer 2009.
    　
  211. Rui Zhang: Parametric Data Reduction Techniques. Encyclopedia of Database Systems, 2044-2045, Springer 2009.
    　
  212. Rui Zhang: Data Reduction. Encyclopedia of Database Systems, 621-626, Springer 2009.
    　
  213. Dana Zhang, Kotagiri Ramamohanarao, Steven Versteeg, Rui Zhang . RoleVAT: Visual Assessment of Practical Need for Role Based Access Control, ACSAC 2009.
    　
  214. Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik. V*-kNN: an Efficient Algorithm for Moving k Nearest Neighbor Queries. IEEE International Conference on Data Engineering (ICDE), Shanghai, China, 2009. Play the Demo
    　
  215. Egemen Tanin, Rui Zhang, and Lars Kulik . Spatio-Temporal Database Research at the University of Melbourne, SIGMOD Record, 38(3), 35-39, 2009.
    　
  216. Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kulik. The V*-Diagram: A Query Dependent Approach to Moving KNN Queries. Proceedings of the VLDB Endowment (PVLDB), 1, 1095-1106, 2008. Slides   Source code.
    　
  217. David Lomet, Mingsheng Hong, Rimma Nehme, Rui Zhang. Transaction Time Indexing with Version Compression. Proceedings of the VLDB Endowment (PVLDB), 1, 870-881, 2008.
    　
  218. Rui Zhang, Dan Lin, Kotagiri Ramamohanarao, Elisa Bertino. Continuous Intersection Joins Over Moving Objects. International Conference on Data Engineering (ICDE), Cancun, Mexico, 2008. Slides
    　
  219. Mohammed Eunus Ali, Rui Zhang, Egemen Tanin, Lars Kulik. A Motion-Aware Approach to Continuous Retrieval of 3D Objects. International Conference on Data Engineering (ICDE), Cancun, Mexico, 2008. Slides
    　
  220. Mohammed Eunus Ali, Rui Zhang, Egemen Tanin, Lars Kulik. Load Balancing for Moving Object Management in a P2P Network. International Conference on Database Systems for Advanced Applications (DASFAA) New Delhi, India, 2008.
    　
  221. H.V. Jagadish, Beng Chin Ooi, Rui Zhang. iDistance Techniques. An entry in Encyclopedia of GIS, 469-471 ,Springer 2008. http://www.springerlink.com/content/h01539/.
    　
  222. Sarana Nutanong, Egemen Tanin, Rui Zhang. Visible Nearest Neighbor Queries. International Conference on Database Systems for Advanced Applications (DASFAA) Bangkok, Thailand, 2007.
    　
  223. Anthony Tung, Rui Zhang, Nick Koudas, Beng Chin Ooi. Similarity Search: A Matching Based Approach. International Conference on Very Large Data Bases (VLDB), Seoul, 2006. Slides
    　
  224. Dan Lin, Rui Zhang, Aoying Zhou. Indexing Fast Moving Objects for KNN Queries Based on Nearest Landmarks. GeoInformatica, 10(4): 423-445, 2006.
    　
  225. Christian S. Jensen, Dan Lin, Beng Chin Ooi, Rui Zhang. Effective Density Queries of Continuously Moving Objects. International Conference on Data Engineering (ICDE), Atlanta, 2006.
    　
  226. Rui Zhang, Nick Koudas, Beng Chin Ooi, Divesh Srivastava. Multiple Aggregations Over Data Streams. ACM SIGMOD International Conference on Management of Data (SIGMOD), Baltimore, 2005. Slides
    　
  227. Rui Zhang, Panos Kalnis, Beng Chin Ooi, Kian-Lee Tan. Generalized Multi-dimensional Data Mapping and Query Processing. ACM Transactions on Data Base Systems (TODS), 30(3), 661-697, 2005.
    　
  228. H.V. Jagadish, Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Rui Zhang. iDistance: An Adaptive B+-tree Based Indexing Method for Nearest Neighbor Search. ACM Transactions on Data Base Systems (TODS), 30(2), 364-397, 2005.
    　
  229. Nick Koudas, Beng Chin Ooi, Kian-Lee Tan, Rui Zhang. Approximate NN queries on Streams with Guaranteed Error/performance Bounds. International Conference on Very Large Data Bases (VLDB), Toronto, 2004. Slides
    　
  230. Rui Zhang, Beng Chin Ooi, Kian-Lee Tan. Making the Pyramid Technique Robust to Query Types and Workload. International Conference on Data Engineering (ICDE), Boston, 2004. Slides

    Patents
    　
  231.  US patent: with Martin Stradling. Indexing Methods and Systems for Spatial Data Objects, US patent number (US 10,394,787 B2), Issuing date: Aug 27, 2019.
    　
  232.  US patent: with Divesh Srivastava and Nick Koudas. System and method for managing data streams. US patent number (US 7,631,074 B1), Issuing date: Dec 8, 2009.

    　

Invited Papers or Keynote Speeches in Conferences

  1. Rui Zhang. High-performance Management and Processing of Large-scale Moving Object Data. (Keynote Speech) Proceedings of the International Conference on Management and Information Engineering (ICMAIE), July 13-15, 2012, Wuhan. Slides
    　
  2. Rui Zhang. Location Based Queries in a Streaming Fashion. (Keynote Speech) Proceedings of the 8th Web Information Systems and Applications Conference (WISA), November 4-6, Chongqing, 2011. Slides
    　
  3. Rui Zhang. Processing Spatio-Temporal Queries through a Streaming Fashion. (Invited Speech) Proceedings of the 22th Australasian Database Conference (ADC), January 17-20, Brisbane, 2011. Slides
    　

Technical Reports                .

  1. Rui Zhang, Jin Huang, Zeyi Wen, Jian Chen, Kerry Taylor, Zheng He, Processing of Top-K Most Influential Location Selection Queries, 2013
    　
  2. Yu Sun, Jianzhong Qi, Rui Zhang, Yueguo Chen, Xiaoyong Du. MapReduce Based Location Selection Algorithm for Utility Maximization with Capacity Constraints, 2013
    　
  3. Naiqi Li, Jianzhong Qi, Rui Zhang. Survey for Spatial and Temporal Data Bases and Mining. 2016
    　
  4. Deep Learning Reading List

Other Talks

  1. Indexing Multidimensional Data through a Mapping Based Approach, 2011 (powerpoint)
  2. 挑战自我，超越自我
  3. 闲聊大数据

Visiting Talks

2025华中科技大学张瑞教授在ChinaData主持“多模态检索增强生成（RAG）技术前沿论坛”论坛
 2025华中科技大学张瑞教授在第二十二届CCF中国信息系统及应用大会（WISA 2025）做主旨报告
2025华中科技大学张瑞教授在ChinaData的“智能可信数据库”论坛做受邀报告
 2025华中科技大学张瑞教授在“自然语言处理专委会战略研讨会”做受邀报告
 2019 墨尔本大学张瑞教授在华中科技大学学术报告
 2019 墨尔本大学张瑞教授在华南师范大学学术报告
 2019 墨尔本大学张瑞教授访问华南师范大学计算机学院
 2019 墨尔本大学张瑞教授在澳大利亚博士沙龙第十二届论文报告会学术报告
 2018 墨尔本大学张瑞教授与清华大学来访者做报告交流
 2017 墨尔本大学张瑞教授在山东大学学术报告
 2017 墨尔本大学张瑞教授在华南师范大学学术报告
 2017 墨尔本大学张瑞教授与人民大学来访者做报告交流
 2017 张瑞教授主持第三届清华-墨尔本大数据研讨会
 “聚焦澳洲华人学者”系列访谈2015第四期 - 澳大利亚中国博士沙龙
 【学术 |金砖讲座】2016年第一期: 墨尔本大学张瑞副教授 硕士、博士研究生学习方法和职业规划
 2016 墨尔本大学张瑞副教授在华中科技大学学术报告
 2014 墨尔本大学张瑞副教授在华南师范大学学术报告
 2014 墨尔本大学张瑞副教授在人民大学学术报告
 2014 墨尔本大学张瑞副教授在华中科技大学学术报告
 2012 墨尔本大学张瑞博士在厦门大学学术报告