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Zhong Ming

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

98

Venues

41

Active years

2002–2026

Best venue rank

A*

Where they publish

Papers

98 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIM3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction.Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung
2026ACLHSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment.Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming
2026ACLBeyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality.Qipeng Xie, Zi Liang, Jiafei Wu, Yufei Chen, Weizheng Wang, Wenao Ma, Zhong Ming, Haiqin Yang, Kaishun Wu
2026CCGRIDSD-MoE: Scenario-Driven MoE Forecasting for Intelligent Elastic Scaling in Cloud Clusters.Xianzhao Guo, Weipeng Cao, Minxian Xu, Dachuan Li, Chuanfei Xu, Xi Tao, Zhong Ming
2026KSEMVC-MARAG: Visual-Context Augmented Retrieval and Multi-agent Collaborative Generation for VQA.Yijie Chen, Jiahao Chen, Guannan Liu, Dongqing Li, Shubin Cai, Zhong Ming
2026PAKDDFACTOR: Financial Analysis and Consistency-Testing Oriented Representation.Dongqing Li, Jiahao Chen, Guannan Liu, Yijie Chen, Shubin Cai, Zhong Ming
2026WWWMulti-Task Multi-Behavior Sequential Recommendation.Weihao Du, Ziran Deng, Weike Pan, Zhong Ming
2026SIGIRFedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction.Jun Zhang, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming
2026SIGIRLLM-based Semantic and ID Representations for Sequential Recommendation.Donglin Zhou, Weike Pan, Zhong Ming
2026WSDMAutomated Information Flow Selection for Multi-scenario Multi-task Recommendation.Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming
2025CIKMTarget Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction.Xiaoqing Chen, Zitao Xu, Weike Pan, Zhong Ming
2025ICA3PPAKD: an Asymmetric Knowledge Distillation Algorithm for Time Series Models in Cloud Service Performance Monitoring.Pengwei Liu, Weipeng Cao, Jiawei Qiu, Chuanfei Xu, Xi Tao, Zhong Ming
2025ICCVVisNumBench: Evaluating Number Sense of Multimodal Large Language Models.Tengjin Weng, Jingyi Wang, Wenhao Jiang, Zhong Ming
2025IJCNNDistribution-Guided Extraction for Cross-Platform Educational Knowledge Graph Construction.Youyi Huang, Honglong Chen, Junhui Kuang, Jianye Fu, Shubin Cai, Zhong Ming
2025KDDScenario Shared Instance Modeling for Click-through Rate Prediction.Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming
2025KSEMA Review of Optimization Techniques for Large Language Model Inference.Yujia Cao, Xi Tao, Weipeng Cao, Chuanfei Xu, Zhong Ming
2025NAACLEnhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration.Zhihui Shao, Shubin Cai, Rongsheng Lin, Zhong Ming
2025WWWHeterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation.Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming
2025SIGIRTowards Interest Drift-driven User Representation Learning in Sequential Recommendation.Xiaolin Lin, Weike Pan, Zhong Ming
2025SIGIRMulti-scenario Instance Embedding Learning for Deep Recommender Systems.Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Zhong Ming
2024CECDeep Reinforcement Learning for Solving the Vehicle Routing Problem in Practical Logistics.Junchuang Cai, Xinzhi Zhang, Qiuzhen Lin, Lisha Dong, Weineng Chen, Zhong Ming
2024IJCAIA Survey on Cross-Domain Sequential Recommendation.Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
2024IWQoSQoS Perception for Cloud Databases: Necessity, Trends, and Challenges.Weipeng Cao, Xi Tao, Yinghui Pan, Ye Liu, Zhong Ming
2024IWQoSImproving QoS of Workloads with CPU Pinning: A Deep Reinforcement Learning Approach.Xi Tao, Weipeng Cao, Yinghui Pan, Ye Liu, Zhong Ming
2024KDDExplicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation.Ming Chen, Weike Pan, Zhong Ming
2024KSEMComPAT: A Compiler Principles Course Assistant.Shubin Cai, Honglong Chen, Youyi Huang, Zhong Ming
2024KSEMDSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification.Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhong Ming, Chuqing Cao, Liang Zheng
2024KSEMWGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments.Yunyun Qiu, Weipeng Cao, Zhijiao Xiao, Zhong Ming, Changping Ji, Jiongjiong Gu, Chuqing Cao, Liang Zheng
2024MMMMetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.Zixuan Hong, Weipeng Cao, Zhiwu Xu, Zhenru Chen, Xi Tao, Zhong Ming, Chuqing Cao, Liang Zheng
2024PDCATThe Material Delivery Route Prediction Method Based on Deep Reinforcement Learning.Hui Liu, Yinghui Pan, Zhong Ming
2024RecSysDynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation.Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming
2024SIGIRAutoDCS: Automated Decision Chain Selection in Deep Recommender Systems.Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
2024SIGIRA Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation.Jing Xiao, Weike Pan, Zhong Ming
2024WSDMMulti-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
2024WSDMMultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2023DASFAASelf-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023ECAIA Dynamic Selective Parameter Sharing Mechanism Embedded with Multi-Level Reasoning Abstractions.Yan Liu, Ying He, Zhong Ming, F. Richard Yu
2023ICDMCascaded Cross Attention for Review-based Sequential Recommendation.Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming
2023ICDMPrivacy-Preserving Cross-Domain Sequential Recommendation.Zhaohao Lin, Weike Pan, Zhong Ming
2023ICDMVariational Collective Graph AutoEncoder for Multi-behavior Recommendation.Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming
2023RecSysPairwise Intent Graph Embedding Learning for Context-Aware Recommendation.Dugang Liu, Yuhao Wu, Weixin Li, Xiaolian Zhang, Hao Wang, Qinjuan Yang, Zhong Ming
2023RecSysBVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation.Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming
2023RecSysA Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation.Zitao Xu, Weike Pan, Zhong Ming
2023WWWDIWIFT: Discovering Instance-wise Influential Features for Tabular Data.Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2022ACLWeighted self Distillation for Chinese word segmentation.Rian He, Shubin Cai, Zhong Ming, Jialei Zhang
2022CIKMDual-Task Learning for Multi-Behavior Sequential Recommendation.Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming
2022COLINGAugmenting Legal Judgment Prediction with Contrastive Case Relations.Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming
2022DSAAALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation.Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming
2022HPCCA Deep Reinforcement Learning based VM Scheduling Strategy Decreasing Data Center Communication costs.Zhijiao Xiao, Xiao Liu, Zhong Ming
2022IJCAIMulti-Constraint Deep Reinforcement Learning for Smooth Action Control.Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
2022IJCNNDeepSet: Deep Learning-based Recommendation with Setwise Preference.Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
2022IJCNNSQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback.Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming
2022IJCNNPAS: A Position-Aware Similarity Measurement for Sequential Recommendation.Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
2022IJCNN$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing.Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
2022IWQoSWhen Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach.Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
2022KDDUser-Event Graph Embedding Learning for Context-Aware Recommendation.Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
2022RecSysGlobal and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
2022WSDMVAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering.Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming
2021AAAIFedRec++: Lossless Federated Recommendation with Explicit Feedback.Feng Liang, Weike Pan, Zhong Ming
2021CECAn Improved Weighted Optimization-based Framework for Large-scale MOPs.Junhao Zheng, Lingjie Li, Qiuzhen Lin, Zhong Ming
2021RecSysTransfer Learning in Collaborative Recommendation for Bias Reduction.Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming
2021RecSysFR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing.Zhaohao Lin, Weike Pan, Zhong Ming
2021RecSysMitigating Confounding Bias in Recommendation via Information Bottleneck.Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020ICA3PPA Simulation Study on Block Generation Algorithm Based on TPS Model.Shubin Cai, Huaifeng Zhou, Ningsheng Yang, Zhong Ming
2020ICA3PPResearch Progress of Zero-Shot Learning Beyond Computer Vision.Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, Jiyong Zhang
2020ICA3PPA Hierarchical-Tree-Based Method for Generative Zero-Shot Learning.Xizhao Wang, Zhongwu Xie, Weipeng Cao, Zhong Ming
2020ICA3PPBroad Learning System with Proportional-Integral-Differential Gradient Descent.Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming
2020ICONIPAsymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering.Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming
2020IJCNNAdaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering.Xiancong Chen, Weike Pan, Zhong Ming
2020IJCNNPAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback.Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming
2020RecSysFISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation.Jing Lin, Weike Pan, Zhong Ming
2020SIGIRA General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2019CECA Novel Multiobjective Particle Swarm Optimization Algorithm with Dynamic Resource Allocation.Lingjie Li, Qiuzhen Lin, Jia Wang, Jianyong Chen, Zhong Ming
2019ICANNLocal Normalization Based BN Layer Pruning.Yuan Liu, Xi Jia, Linlin Shen, Zhong Ming, Jinming Duan
2019ICDEImproved Algorithms for Maximal Clique Search in Uncertain Networks.Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu
2019ICIPNMF-Based Comprehensive Latent Factor Learning with Multiview Da.Hua Zheng, Zhixuan Liang, Feng Tian, Zhong Ming
2019IJCNNAn Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW.Weipeng Cao, Muhammed J. A. Patwary, Pengfei Yang, Xizhao Wang, Zhong Ming
2019RecSysAsymmetric Bayesian personalized ranking for one-class collaborative filtering.Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
2018ICTAIInformation-Oriented Evaluation Metric for Dialogue Response Generation Systems.Peiqi Liu, Sheng-hua Zhong, Zhong Ming, Yan Liu
2018MMMImplicit Affective Video Tagging Using Pupillary Response.Dongdong Gui, Sheng-hua Zhong, Zhong Ming
2017ICPADSOptimize the FP-Tree Based Graph Edge Weight Computation on Multi-core MapReduce Clusters.Yuhong Feng, Meihong Guo, Kezhong Lu, Zhong Ming, Haoming Zhong, Wentong Cai, Zengxiang Li
2017RecSysTransfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation.Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming
2016CSCWDA similarity measurement based on structure of Business Process.Yahui Lu, Haofei Yu, Zhong Ming, Hui Wang
2015HPCCPorting and Optimizing SOAP2 on Loongson Architecture.Qiuming Luo, Guoqiang Liu, Zhong Ming, Feng Xiao
2015HPCCPerformance Profiling of VMs on NUMA Multicore Platform by Inspecting the Uncore Data Flow.Qiuming Luo, Feng Xiao, Yuanyuan Zhou, Zhong Ming
2015HPCCOptimizing Emerging Storage Primitives with Virtualization for Flash Memory Storage Systems.Yi Wang, Lisha Dong, Zhong Ming
2015ICCCNWiG: WiFi-Based Gesture Recognition System.Wenfeng He, Kaishun Wu, Yongpan Zou, Zhong Ming
2015LANMANAnalyzing streaming performance in crowdsourcing-based video service systems.Yipeng Zhou, Liang Chen, Mi Jing, Zhong Ming, Dah Ming Chiu
2014CIKMAdaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks.Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming
2014VINCIParallel Coordinates with Data Labels.Hong Zhou, Panpan Xu, Zhong Ming, Huamin Qu
2013UCCDesign and Optimization of Traffic Balance Broker for Cloud-Based Telehealth Platform.Jihe Wang, Bing Guo, Meikang Qiu, Zhong Ming
2010ICIPHierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing.Sen Jia, Yuntao Qian, Jiming Li, Yan Li, Zhong Ming
2010ISDAAdaptive resource allocation for preemptable jobs in cloud systems.Jiayin Li, Meikang Qiu, Jianwei Niu, Yu Chen, Zhong Ming
2008AAAIPersonalized Reasoner Based on Belief Strengths of Information Sources.Shu-Bin Cai, Zhong Ming, Shixian Li
2008ADMAText Learning and Hierarchical Feature Selection in Webpage Classification.Xiaogang Peng, Zhong Ming, Haitao Wang
2008IJCNNVideo scene classification and segmentation based on Support Vector Machine.Yingying Zhu, Zhong Ming, Jun Zhang
2007ICNCAutomatic Audio Genre Classification Based on Support Vector Machine.Yingying Zhu, Zhong Ming, Qiang Huang
2002ICFEMResearch on Ontology-Oriented Domain Analysis on MIS.Zhong Ming, Shixian Li, Xiu-rong Fang