Faceted Exploring for Domain Knowledge over Linked Open Data. - Meng Wang 009; Jun Liu 002; Wenqiang Liu; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (CIKM, 2014)

ANNA: Answering Why-Not Questions for SPARQL. - Siyu Yao; Jun Liu 002; Meng Wang 009; Bifan Wei; Xuelu Chen (ISWC (Posters & Demos), 2015)

Faceted fusion of RDF data. - Wen-qian Liu; Jun Liu 002; Meng Wang 009; Qinghua Zheng; Wei Zhang 053; Lingyun Song; Siyu Yao (Inf. Fusion, 2015)

Improving Chinese Sentiment Analysis via Segmentation-Based Representation Using Parallel CNN. - Yazhou Hao; Qinghua Zheng; YangYang Lan; Yufei Li 002; Meng Wang 009; Sen Wang 001; Chen Li 011 (ADMA, 2017)

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning. - Yuanhao Zheng; Bifan Wei; Jun Liu 002; Meng Wang 009; Weitong Chen 001; Bei Wu; Yihe Chen (ADMA, 2017)

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking. - Meng Wang 009; Jiaheng Zhang; Jun Liu 002; Wei Hu 007; Sen Wang 001; Xue Li 001; Wenqiang Liu (ISWC (2), 2017)

People Opinion Topic Model: Opinion based User Clustering in Social Networks. - Hongxu Chen 002; Hongzhi Yin; Xue Li 001; Meng Wang 009; Weitong Chen 001; Tong Chen 005 (WWW (Companion Volume), 2017)

Safe Medicine Recommendation via Medical Knowledge Graph Embedding. - Meng Wang 009; Mengyue Liu; Jun Liu 002; Sen Wang 001; Guodong Long; Buyue Qian (CoRR, 2017)

Graph Embedding Based Query Construction Over Knowledge Graphs. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Siyu Yao; Qinghua Zheng (ICBK, 2018)

Fine-grained Image Classification by Visual-Semantic Embedding. - Huapeng Xu; Guilin Qi; Jingjing Li 001; Meng Wang 009; Kang Xu 001; Huan Gao (IJCAI, 2018)

Interpretative Topic Categorization Via Deep Multiple Instance Learning. - Tong Yu 008; Meng Wang 009; Yanzhang Lv; Luguo Xue; Jun Liu 002 (IJCNN, 2018)

Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding. - Meng Wang 009; Ruijie Wang 003; Jun Liu 002; Yihe Chen; Lei Zhang 034; Guilin Qi (ISWC (1), 2018)

Triple Context-Based Knowledge Graph Embedding. - Huan Gao; Jun Shi; Guilin Qi; Meng Wang 009 (IEEE Access, 2018)

Answering why-not questions on semantic multimedia queries. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Jun Liu 002; Xue Li 001; Bela Stantic (Multim. Tools Appl., 2018)

BSI: A System for Predicting and Analyzing Accident Risk. - Xinyu Ma; Yuhao Yang; Meng Wang 009 (ADMA, 2019)

Emerging Entity Discovery Using Web Sources. - Lei Zhang 034; Tianxing Wu 001; Liang Xu 011; Meng Wang 009; Guilin Qi; Harald Sack (CCKS, 2019)

Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. - Bing Liu; Huan Gao; Guilin Qi; Shangfu Duan; Tianxing Wu 001; Meng Wang 009 (DASFAA (3), 2019)

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Weitong Chen 001; Michael Cochez; Stefan Decker (DASFAA (1), 2019)

Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. - Meng Wang 009; Haomin Shen; Sen Wang 001; Lina Yao 001; Yinlin Jiang; Guilin Qi; Yang Chen 008 (ICDM, 2019)

Graph embedding based familial analysis of Android malware using unsupervised learning. - Ming Fan 002; Xiapu Luo; Jun Liu 002; Meng Wang 009; Chunyin Nong; Qinghua Zheng; Ting Liu 002 (ICSE, 2019)

Dispute Generation in Law Documents via Joint Context and Topic Attention. - Sheng Bi; Xiya Cheng; Jiamin Chen; Guilin Qi; Meng Wang 009; Youyong Zhou; Lusheng Wang (JIST, 2019)

Richpedia: A Comprehensive Multi-modal Knowledge Graph. - Meng Wang 009; Guilin Qi; Haofen Wang; Qiushuo Zheng (JIST, 2019)

Building Chinese Legal Hybrid Knowledge Network. - Sheng Bi; Yanhui Huang; Xiya Cheng; Meng Wang 009; Guilin Qi (KSEM (1), 2019)

Cosine-Based Embedding for Completing Schematic Knowledge. - Huan Gao; Xianda Zheng; Weizhuo Li; Guilin Qi; Meng Wang 009 (NLPCC (1), 2019)

Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension. - Tongtong Wu; Meng Wang 009; Huan Gao; Guilin Qi; Weizhuo Li (PRICAI (3), 2019)

Multi-view Embedding for Biomedical Ontology Matching. - Weizhuo Li; Xuxiang Duan; Meng Wang 009; Xiaoping Zhang; Guilin Qi (OM@ISWC, 2019)

Adaptive local learning regularized nonnegative matrix factorization for data clustering. - Yongpan Sheng; Meng Wang 009; Tianxing Wu 001; Han Xu (Appl. Intell., 2019)

AHNG: Representation learning on attributed heterogeneous network. - Mengyue Liu; Jun Liu 002; Yihe Chen; Meng Wang 009; Hao Chen; Qinghua Zheng (Inf. Fusion, 2019)

Answering why-not questions on SPARQL queries. - Meng Wang 009; Jun Liu 002; Bifan Wei; Siyu Yao; Hongwei Zeng; Lei Shi (Knowl. Inf. Syst., 2019)

One-Shot Learning for Long-Tail Visual Relation Detection. - Weitao Wang; Meng Wang 009; Sen Wang 001; Guodong Long; Lina Yao 001; Guilin Qi; Yang Chen 008 (AAAI, 2020)

Learning to Answer Complex Questions with Evidence Graph. - Gao Gu; Bohan Li 001; Han Gao 007; Meng Wang 009 (APWeb/WAIM (1), 2020)

Fine-Grained Evaluation of Knowledge Graph Embedding Models in Downstream Tasks. - Yuxin Zhang; Bohan Li 001; Han Gao 007; Ye Ji; Han Yang; Meng Wang 009 (APWeb/WAIM (1), 2020)

Characterizing Robotic and Organic Query in SPARQL Search Sessions. - Xinyue Zhang; Meng Wang 009; Bingchen Zhao; Ruyang Liu; Jingyuan Zhang; Han Yang (APWeb/WAIM (1), 2020)

Feature Fusion Based Subgraph Classification for Link Prediction. - Zheyi Liu; Darong Lai; Chuanyou Li; Meng Wang 009 (CIKM, 2020)

Cross-Graph Representation Learning for Unsupervised Graph Alignment. - Weifan Wang 004; Minnan Luo; Caixia Yan; Meng Wang 009; Xiang Zhao 002; Qinghua Zheng (DASFAA (2), 2020)

A Hash Learning Framework for Search-Oriented Knowledge Graph Embedding. - Meng Wang 009; Tongtong Wu; Guilin Qi (ECAI, 2020)

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables. - Jiaqi Zhang; Meng Wang 009; Qinchi Li; Sen Wang 001; Xiaojun Chang; Beilun Wang (IJCAI, 2020)

Memory-Based Network for Scene Graph with Unbalanced Relations. - Weitao Wang; Ruyang Liu; Meng Wang 009; Sen Wang 001; Xiaojun Chang; Yang Chen 008 (ACM Multimedia, 2020)

Combining Knowledge Graph Embedding and Network Embedding for Detecting Similar Mobile Applications. - Weizhuo Li; Buye Zhang; Liang Xu 011; Meng Wang 009; Anyuan Luo; Yan Niu (NLPCC (1), 2020)

Revealing Secrets in SPARQL Session Level. - Xinyue Zhang; Meng Wang 009; Muhammad Saleem 002; Axel-Cyrille Ngonga Ngomo; Guilin Qi; Haofen Wang (ISWC (1), 2020)

Richpedia: A Large-Scale, Comprehensive Multi-Modal Knowledge Graph. - Meng Wang 009; Haofen Wang; Guilin Qi; Qiushuo Zheng (Big Data Res., 2020)

Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA. - Xianpei Han; Zhichun Wang; Jiangtao Zhang; Qinghua Wen; Wenqi Li; Buzhou Tang; Qi Wang; Zhifan Feng; Yang Zhang; Yajuan Lu; Haitao Wang 019; Wenliang Chen; et al. (CoRR, 2020)

Structured query construction via knowledge graph embedding. - Ruijie Wang 003; Meng Wang 009; Jun Liu 002; Michael Cochez; Stefan Decker (Knowl. Inf. Syst., 2020)

Knowledge graph construction from multiple online encyclopedias. - Tianxing Wu 001; Haofen Wang; Cheng Li; Guilin Qi; Xing Niu 001; Meng Wang 009; Lin Li; Chaomin Shi (World Wide Web, 2020)

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. - Yongrui Chen 002; Xinnan Guo; Chaojie Wang 007; Jian Qiu; Guilin Qi; Meng Wang 009; Huiying Li 003 (AAAI, 2021)

Is Visual Context Really Helpful for Knowledge Graph? A Representation Learning Perspective. - Meng Wang 009; Sen Wang 001; Han Yang; Zheng Zhang 006; Xi Chen 003; Guilin Qi (ACM Multimedia, 2021)

SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation. - Fan Gong; Meng Wang 009; Haofen Wang; Sen Wang 001; Mengyue Liu (Big Data Res., 2021)

Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks. - Yuxin Zhang; Bohan Li 001; Han Gao 007; Ye Ji; Han Yang; Meng Wang 009; Weitong Chen 001 (Big Data Res., 2021)

Link Trustworthiness Evaluation over Multiple Heterogeneous Information Networks. - Meng Wang 009; Xu Qin; Wei Jiang; Chunshu Li; Guilin Qi (Complex., 2021)

Efficient search over incomplete knowledge graphs in binarized embedding space. - Meng Wang 009; Weitong Chen 001; Sen Wang 001; Yinlin Jiang; Lina Yao 001; Guilin Qi (Future Gener. Comput. Syst., 2021)

A sequence to sequence model for dialogue generation with gated mixture of topics. - Hongwei Zeng; Jun Liu 002; Meng Wang 009; Bifan Wei (Neurocomputing, 2021)

Faceted Text Segmentation via Multitask Learning. - Bei Wu; Bifan Wei; Jun Liu 002; Kewei Wu; Meng Wang 009 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Scalable Estimator for Multi-task Gaussian Graphical Models Based in an IoT Network. - Beilun Wang; Jiaqi Zhang; Yan Zhang 100; Meng Wang 009; Sen Wang 001 (ACM Trans. Sens. Networks, 2021)

Explaining similarity for SPARQL queries. - Meng Wang 009; Kefei Chen; Gang Xiao; Xinyue Zhang; Hongxu Chen 002; Sen Wang 001 (World Wide Web, 2021)

Improving Core Path Reasoning for the Weakly Supervised Knowledge Base Question Answering. - Nan Hu; Sheng Bi; Guilin Qi; Meng Wang 009; Yuncheng Hua; Shirong Shen (DASFAA (1), 2022)

InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. - Xinyu Ma; Meng Wang 009; Xing Liu; Yifan Yang 008; Yefeng Zheng 001; Sen Wang 001 (DASFAA (2), 2022)

User-Event Graph Embedding Learning for Context-Aware Recommendation. - Dugang Liu; Mingkai He; Jinwei Luo; Jiangxu Lin; Meng Wang 009; Xiaolian Zhang; Weike Pan; Zhong Ming 001 (KDD, 2022)

Cross-Modal Knowledge Discovery, Inference, and Challenges. - Meng Wang 009; Ningyu Zhang 001 (RW, 2022)

PKG: A Personal Knowledge Graph for Recommendation. - Yu Yang; Jiangxu Lin; Xiaolian Zhang; Meng Wang 009 (SIGIR, 2022)

Visual Entity Linking via Multi-modal Learning. - Qiushuo Zheng; Hao Wen 005; Meng Wang 009; Guilin Qi (Data Intell., 2022)

Faster Zero-shot Multi-modal Entity Linking via Visual-Linguistic Representation. - Qiushuo Zheng; Hao Wen 005; Meng Wang 009; Guilin Qi; Chaoyu Bai (Data Intell., 2022)

Learning heterogeneous graph embedding for Chinese legal document similarity. - Sheng Bi; Zafar Ali; Meng Wang 009; Tianxing Wu 001; Guilin Qi (Knowl. Based Syst., 2022)

Efficiently embedding dynamic knowledge graphs. - Tianxing Wu 001; Arijit Khan 001; Melvin Yong; Guilin Qi; Meng Wang 009 (Knowl. Based Syst., 2022)

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph. - Yi Liu 071; Hongrui Xuan; Bohan Li 001; Meng Wang 009; Tong Chen 005; Hongzhi Yin (CIKM, 2023)

Graph Inference via the Energy-efficient Dynamic Precision Matrix Estimation with One-bit Data. - Xiao Tan 005; Yangyang Shen; Meng Wang 009; Beilun Wang (CIKM, 2023)

Take CARE: Improving Inherent Robustness of Spiking Neural Networks with Channel-wise Activation Recalibration Module. - Yan Zhang 100; Cheng Chen; Dian Shen; Meng Wang 009; Beilun Wang (ICDM, 2023)

RAC-BERT: Character Radical Enhanced BERT for Ancient Chinese. - Lifan Han; Xin Wang 030; Meng Wang 009; Zhao Li 009; Heyi Zhang; Zirui Chen; Xiaowang Zhang (NLPCC (2), 2023)

Retrieval-Augmented Generation for Large Language Models: A Survey. - Yunfan Gao; Yun Xiong; Xinyu Gao; Kangxiang Jia; Jinliu Pan; Yuxi Bi; Yi Dai; Jiawei Sun; Qianyu Guo; Meng Wang 009; Haofen Wang (CoRR, 2023)

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs. - Yiming Tan; Yongrui Chen 002; Guilin Qi; Weizhuo Li; Meng Wang 009 (Big Data Res., 2023)

A contrastive framework for enhancing Knowledge Graph Question Answering: Alleviating exposure bias. - Huifang Du; Xixie Zhang; Meng Wang 009; Yunwen Chen; Daqi Ji; Jun Ma 036; Haofen Wang (Knowl. Based Syst., 2023)

Knowledge and data-driven prediction of organ failure in critical care patients. - Xinyu Ma; Meng Wang 009; Sihan Lin; Yuhao Zhang; Yanjian Zhang; Wen Ouyang; Xing Liu (Health Inf. Sci. Syst., 2023)

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix. - Xiao Tan 005; Zhaoyang Wang; Hao Qian 003; Jun Zhou 011; Peibo Duan; Dian Shen; Meng Wang 009; Beilun Wang (CIKM, 2024)

Fast Human Action Recognition via Millimeter Wave Radar Point Cloud Sequences Learning. - Tongfei Shao; Zheyu Du; Chuanyou Li; Tianxing Wu 001; Meng Wang 009 (CIKM, 2024)

Time-Sensitve Retrieval-Augmented Generation for Question Answering. - Feifan Wu; Lingyuan Liu; Wentao He; Ziqi Liu; Zhiqiang Zhang 012; Haofen Wang; Meng Wang 009 (CIKM, 2024)

ST-ECP: A Novel Spatial-Temporal Framework for Energy Consumption Prediction of Vehicle Trajectory. - Biao Yang; Yun Xiong; Xi Chen 072; Xuejing Feng; Meng Wang 009; Jun Ma 036 (CIKM, 2024)

Large Covariance Estimation from Streaming Data with Knowledge-Based Sketch Matrix. - Xiao Tan 005; Zhaoyang Wang; Meng Wang 009; Dian Shen; Weitong Chen 001; Beilun Wang (DASFAA (5), 2024)

Knowledge-augmented Financial Market Analysis and Report Generation. - Yuemin Chen; Feifan Wu; Jingwei Wang; Hao Qian 003; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Meng Wang 009 (EMNLP (Industry Track), 2024)

Adaptive Group Personalization for Federated Mutual Transfer Learning. - Haoqing Xu; Dian Shen; Meng Wang 009; Beilun Wang (ICML, 2024)

Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models. - Huifang Du; Xuejing Feng; Jun Ma 036; Meng Wang 009; Shiyu Tao; Yijie Zhong 001; Yuan-Fang Li; Haofen Wang (IJCAI, 2024)

SOAP: Enhancing Spatio-Temporal Relation and Motion Information Capturing for Few-Shot Action Recognition. - Wenbo Huang 001; Jinghui Zhang; Xuwei Qian; Zhen Wu 001; Meng Wang 009; Lei Zhang 130 (ACM Multimedia, 2024)

FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings. - Xiao Tan 005; Yiqin Wang; Yangyang Shen; Dian Shen; Meng Wang 009; Peibo Duan; Beilun Wang (NeurIPS, 2024)

A Question-Answering Assistant over Personal Knowledge Graph. - Lingyuan Liu; Huifang Du; Xiaolian Zhang; Mengying Guo; Haofen Wang; Meng Wang 009 (SIGIR, 2024)

Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks. - Yunfan Gao; Yun Xiong; Meng Wang 009; Haofen Wang (CoRR, 2024)

Development and Evaluation Study of Intelligent Cockpit in the Age of Large Models. - Jun Ma 036; Meng Wang 009; Jinhui Pang; Haofen Wang; Xuejing Feng; Zhipeng Hu; Zhenyu Yang; Mingyang Guo; Zhenming Liu; Junwei Wang; Siyi Lu; Zhiming Gou (CoRR, 2024)

VQFT: A Visual Query Approach Based on Full-Text Search for Knowledge Graphs. - Zhaozhuo Li; Xin Wang 030; Meng Wang 009; Yajun Yang; Bohan Li 001; Dong Han (Proc. VLDB Endow., 2024)

Exploiting biochemical data to improve osteosarcoma diagnosis with deep learning. - Shidong Wang; Yangyang Shen; Fanwei Zeng; Meng Wang 009; Bohan Li 001; Dian Shen; Xiaodong Tang; Beilun Wang (Health Inf. Sci. Syst., 2024)

Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data. - Yunfan Gao; Yun Xiong; Zhongyuan Hu; Yiming Zhang; Meng Wang 009; Haofen Wang (AAAI, 2025)

NoTeNet: Normalized Mutual Information-Driven Tuning-free Dynamic Dependence Network Inference Method for Multimodal Data. - Xiao Tan 005; Yangyang Shen; Yan Zhang 100; Jingwen Shao; Dian Shen; Meng Wang 009; Beilun Wang (WWW, 2025)

Crafting user-centric prompts for UI generations based on Kansei engineering and knowledge graph. - Xuejing Feng; Huifang Du; Jun Ma 036; Haofen Wang; Lijuan Zhou; Meng Wang 009 (Adv. Eng. Informatics, 2025)

Meta-PKE: Memory-Enhanced Task-Adaptive Personal Knowledge Extraction in Daily Life. - Yijie Zhong 001; Feifan Wu; Mengying Guo; Xiaolian Zhang; Meng Wang 009; Haofen Wang (Inf. Process. Manag., 2025)