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Ruiming Tang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

187

Venues

20

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

187 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIRecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation.Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang
2026AAAIToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026ACLDPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing.Qian Cao, Yahui Liu, Wei Bi, Yi Zhao, Ruihua Song, Xiting Wang, Ruiming Tang, Guorui Zhou, Han Li
2026ACLDARL: Encouraging Diverse Answers for General Reasoning without Verifiers.Chongxuan Huang, Lei Lin, Xiaodong Shi, Wenping Hu, Ruiming Tang
2026ACLOneRec-Think: In-Text Reasoning for Generative Recommendation.Zhanyu Liu, Shiyao Wang, Xingmei Wang, Rongzhou Zhang, Jiaxin Deng, Honghui Bao, Jinghao Zhang, Wuchao Li, Penggei Zheng, Xiangyu Wu, Yifei Hu, Qigen Hu, Xinchen Luo, Lejian Ren, Zixing Zhang, Qianqian Wang, Kuo Cai, Yunfan Wu, Hongtao Cheng, Zexuan Cheng, Lu Ren, Huanjie Wang, Yi Su, Ruiming Tang, Kun Gai, Guorui Zhou
2026ACLEntropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning.Zhenpeng Su, Leiyu Pan, Minxuan Lv, Tiehua Mei, Zijia Lin, Yuntao Li, Wenping Hu, Ruiming Tang, Kun Gai, Guorui Zhou
2026ACLDeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing.Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Wei Bi, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai
2026ACLUnleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers.Zhiyang Zhang, Junda She, Kuo Cai, Bo Chen, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou
2026DASFAAGenerative Representational Learning of Foundation Models for Recommendation.Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026KDDMGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback.Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng
2026KDDExploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026WWWDiffGRM: Diffusion-based Generative Recommendation Model.Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Guorui Zhou
2026WWWGRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework.Yijia Sun, Shanshan Huang, Zhiyuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou
2026SIGIRModular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation.Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026WSDMOneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou
2025ACLDebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation.Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu
2025ACLBoost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025ACLInstruction-Tuning Data Synthesis from Scratch via Web Reconstruction.Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025ACLBridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025ACLCodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation.Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu
2025ACLCoIR: A Comprehensive Benchmark for Code Information Retrieval Models.Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang
2025ACLAdaptive Tool Use in Large Language Models with Meta-Cognition Trigger.Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
2025ACLCrowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge.Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025CIKMScenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025CIKMSELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025CIKMPrompt Tuning as User Inherent Profile Inference Machine.Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025CIKMLLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025COLINGLLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025EMNLPMMDocIR: Benchmarking Multimodal Retrieval for Long Documents.Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu
2025EMNLPHumanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Yasheng Wang, Ruiming Tang
2025EMNLPRethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025EMNLPNL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025EMNLPRecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025ICLRBridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025ICLRToolACE: Winning the Points of LLM Function Calling.Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2025ICLRRevisEval: Improving LLM-as-a-Judge via Response-Adapted References.Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025KDDAn Automatic Graph Construction Framework based on Large Language Models for Recommendation.Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2025KDDLLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models.Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025KDDLSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025WWWLLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025WWWSampleLLM: Optimizing Tabular Data Synthesis in Recommendations.Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025WWWHyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025WWWJoint Modeling in Deep Recommender Systems.Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025WWWGenerative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025WWWFuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025SIGIRAction First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems.Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025SIGIREfficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2024AAAID3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024ACLLearning to Edit: Aligning LLMs with Knowledge Editing.Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang
2024CIKMLLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024CIKMELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024CIKMSINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024CIKMHierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024CIKMRetrieval-Oriented Knowledge for Click-Through Rate Prediction.Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024CIKMMemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024ICASSPActive Explainable Recommendation with Limited Labeling Budgets.Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
2024KDDDisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024KDDERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024PAKDDMulti-sourced Integrated Ranking with Exposure Fairness.Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024RecSysRanking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li
2024RecSysFLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
2024RecSysTowards Open-World Recommendation with Knowledge Augmentation from Large Language Models.Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024RecSysAIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024WWWHiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
2024WWWLightCS: Selecting Quadratic Feature Crosses in Linear Complexity.Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
2024WWWRecall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024WWWClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
2024WWWReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2024WWWM-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024WSDMUser Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2024WSDMDiff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024WSDMIncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
2023AAAISet-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023AAAIAdaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023AAAIStructure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023CIKMDFFM: Domain Facilitated Feature Modeling for CTR Prediction.Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023CIKMDynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
2023CIKMDiffusion Augmentation for Sequential Recommendation.Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023CIKMGraph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
2023CIKMHAMUR: Hyper Adapter for Multi-Domain Recommendation.Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023CIKMOptimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
2023CIKMAPGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023ICDEPersonalized Diversification for Neural Re-ranking in Recommendation.Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2023ICDEIntent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2023IJCAIA Survey on User Behavior Modeling in Recommender Systems.Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023KDDMAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
2023KDDHierarchical Projection Enhanced Multi-behavior Recommendation.Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023KDDDeep Landscape Forecasting in Multi-Slot Real-Time Bidding.Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
2023KDDGMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023KDDOn-device Integrated Re-ranking with Heterogeneous Behavior Modeling.Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
2023KDDReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023PAKDDRLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023RecSysAutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
2023RecSysUser Behavior Modeling with Deep Learning for Recommendation: Recent Advances.Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
2023RecSysInternational Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
2023RecSysCustomer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
2023WWWCompressed Interaction Graph based Framework for Multi-behavior Recommendation.Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023WWWDynamically Expandable Graph Convolution for Streaming Recommendation.Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
2023WWWTask Adaptive Multi-learner Network for Joint CTR and CVR Estimation.Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
2023WWWIntegrated Ranking for News Feed with Reinforcement Learning.Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
2023SIGIRAutoTransfer: Instance Transfer for Cross-Domain Recommendations.Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023SIGIRBeyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
2023SIGIRSingle-shot Feature Selection for Multi-task Recommendations.Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023SIGIRPLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023SIGIRRobust Causal Inference for Recommender System to Overcome Noisy Confounders.Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
2023SIGIRFINAL: Factorized Interaction Layer for CTR Prediction.Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023WSDMAn F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023WSDMAutoML for Deep Recommender Systems: Fundamentals and Advances.Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023WSDMA Bird's-eye View of Reranking: From List Level to Page Level.Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2023WSDMAutoGen: An Automated Dynamic Model Generation Framework for Recommender System.Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2022CIKMNumerical Feature Representation with HybridBo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022CIKMLCD: Adaptive Label Correction for Denoising Music Recommendation.Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022CIKMIntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022CIKMOptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022CIKMAdapting Triplet Importance of Implicit Feedback for Personalized Recommendation.Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
2022CIKMBalancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang
2022CIKMDisentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022EDMAutomatical Graph-based Knowledge Tracing.Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
2022ICDEMISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022ICDEMemorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022ICDMAutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022IJCAINeural Re-ranking in Multi-stage Recommender Systems: A Review.Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022IJCNLPAn Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
2022KDDLearning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022KDDUnsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2022KDDCausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022KDD4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang
2022RecSysNeural Re-ranking for Multi-stage Recommender Systems.Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWPEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022WWWCross Pairwise Ranking for Unbiased Item Recommendation.Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022SIGIRReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022SIGIRRankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2022SIGIRMulti-Level Interaction Reranking with User Behavior History.Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022SIGIRMulti-Behavior Sequential Transformer Recommender.Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2022WSDMImproving Knowledge Tracing with Collaborative Information.Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022WSDMHierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation.Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He
2021CIKMEnhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
2021CIKMSemi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang
2021CIKMExtracting Attentive Social Temporal Excitation for Sequential Recommendation.Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021IJCAIDeep Learning for Click-Through Rate Estimation.Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021KDDAn Embedding Learning Framework for Numerical Features in CTR Prediction.Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021KDDDual Graph enhanced Embedding Neural Network for CTR Prediction.Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021KDDRetrieval & Interaction Machine for Tabular Data Prediction.Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021KDD3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
2021WWWAn Adversarial Imitation Click Model for Information Retrieval.Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021SIGIRScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021SIGIRA Graph-Enhanced Click Model for Web Search.Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2020CIKMTGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2020CIKMU-rank: Utility-oriented Learning to Rank with Implicit Feedback.Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020CIKMAutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020CIKMPersonalized Re-ranking with Item Relationships for E-commerce.Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020CIKMGraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020IJCAIDropNAS: Grouped Operation Dropout for Differentiable Architecture Search.Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
2020KDDAutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020KDDProbabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2020KDDA Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020PAKDDBalancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020WWWDual-attentional Factorization-Machines based Neural Network for User Response Prediction.Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020SIGIRMulti-Branch Convolutional Network for Context-Aware Recommendation.Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020SIGIRAutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020SIGIRItem Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020SIGIRNeighbor Interaction Aware Graph Convolution Networks for Recommendation.Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020SIGIRInteractive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020WSDMEnd-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2019AAAILarge-Scale Interactive Recommendation with Tree-Structured Policy Gradient.Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
2019ICDMMulti-graph Convolution Collaborative Filtering.Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019PAKDDA Novel KNN Approach for Session-Based Recommendation.Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2019RecSysPAL: a position-bias aware learning framework for CTR prediction in live recommender systems.Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
2019WWWFeature Generation by Convolutional Neural Network for Click-Through Rate Prediction.Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019SIGIROrder-aware Embedding Neural Network for CTR Prediction.Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
2018DASFAANovel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018RecSysField-aware probabilistic embedding neural network for CTR prediction.Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2017DASFAAA Graph-Based Push Service Platform.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017IJCAIDeepFM: A Factorization-Machine based Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017WWWHolistic Neural Network for CTR Prediction.Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2015DEXAExpressing and Processing Path-Centric XML Queries.Huayu Wu, Dongxu Shao, Ruiming Tang, Tok Wang Ling, Stphane Bressan
2015ICDMValuating Queries for Data Trading in Modern Cities.Ruiming Tang, Huayu Wu, Xiuqiang He, Stphane Bressan
2014DASFAAIntegration of Web Sources Under Uncertainty and Dependencies Using Probabilistic XML.Mouhamadou Lamine Ba, Sbastien Montenez, Ruiming Tang, Talel Abdessalem
2014DASFAAConditioning Probabilistic Relational Data with Referential Constraints.Ruiming Tang, Dongxu Shao, Mouhamadou Lamine Ba, Huayu Wu
2014DEXAGet a Sample for a Discount - Sampling-Based XML Data Pricing.Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stphane Bressan
2013DASFAAQuerying Semi-structured Data with Mutual Exclusion.Huayu Wu, Ruiming Tang, Tok Wang Ling
2013DEXAWhat You Pay for Is What You Get.Ruiming Tang, Dongxu Shao, Stphane Bressan, Patrick Valduriez
2013DEXAThe Price Is Right - Models and Algorithms for Pricing Data.Ruiming Tang, Huayu Wu, Zhifeng Bao, Stphane Bressan, Patrick Valduriez
2012DEXAA Framework for Conditioning Uncertain Relational Data.Ruiming Tang, Reynold Cheng, Huayu Wu, Stphane Bressan
2012DEXAA Hybrid Approach for General XML Query Processing.Huayu Wu, Ruiming Tang, Tok Wang Ling, Yong Zeng, Stphane Bressan
2011DEXAEdit Distance between XML and Probabilistic XML Documents.Ruiming Tang, Huayu Wu, Sadegh Nobari, Stphane Bressan