Parallel Mining of Top-K Frequent Itemsets in Very Large Text Database. - Yongheng Wang; Yan Jia 001; Shuqiang Yang (WAIM, 2005)

DRO+: A Systemic and Economical Approach to Improve Availability of Massive Database Systems. - Kai Du; Huaimin Wang; Bo Deng; Yongheng Wang; Shuqiang Yang (WISE Workshops, 2006)

Short Documents Clustering in Very Large Text Databases. - Yongheng Wang; Yan Jia 001; Shuqiang Yang (WISE Workshops, 2006)

Hierarchical Clustering of Large-Scale Short Conversations Based on Domain Ontology. - Yongheng Wang; Bo Guo (ISCSCT (1), 2008)

Mechatronic engineering of novel manufacturing processes implemented by modular and sensor-guided machinery. - Michael Weyrich; Philipp Klein; Martin Laurowski; Yongheng Wang (ETFA, 2011)

Complex Event Processing over distributed probabilistic event streams. - Yongheng Wang; Xiaoming Zhang (FSKD, 2012)

Context-aware Complex Event Processing for event cloud in Internet of Things. - Yongheng Wang; Kening Cao (WCSP, 2012)

Fuzzy D-S Theory Based Fuzzy Ontology Context Modeling and Similarity Based Reasoning. - Huanyu Zhou; Yongheng Wang; Kening Cao (CIS, 2013)

Architecture design of a vision-based intelligent system for automated disassembly of E-waste with a case study of traction batteries. - Michael Weyrich; Yongheng Wang (ETFA, 2013)

Quality assessment of row crop plants by using a machine vision system. - Michael Weyrich; Yongheng Wang; Matthias Scharf (IECON, 2013)

Complex event processing over distributed probabilistic event streams. - Yongheng Wang; Kening Cao; Xiaoming Zhang (Comput. Math. Appl., 2013)

Predictive Analytics by Using Bayesian Model Averaging for Large-Scale Internet of Things. - Xinghui Zhu; Kui Fang; Yongheng Wang (Int. J. Distributed Sens. Networks, 2013)

An adaptive image processing system based on incremental learning for industrial applications. - Yongheng Wang; Michael Weyrich (ETFA, 2014)

A Proactive Complex Event Processing Method Based on Parallel Markov Decision Processes. - Yongheng Wang; Kening Cao (WAIM, 2014)

A Proactive Complex Event Processing Method for Large-Scale Transportation Internet of Things. - Yongheng Wang; Kening Cao (Int. J. Distributed Sens. Networks, 2014)

An assistant for an incremental learning based image processing system. - Yongheng Wang; Michael Weyrich (ICIT, 2015)

Proactive Complex Event Processing for transportation Internet of Things. - Yongheng Wang; Qian Li (IPCCC, 2015)

Towards a novel learning assistant for networked automation systems. - Yongheng Wang; Michael Weyrich (ML4CPS, 2015)

A Target-Dependent Sentiment Analysis Method for Micro-blog Streams. - Yongheng Wang; Hui Gao; Shaofeng Geng (APWeb (2), 2016)

Internet of Thing Context Awareness Model. - Derrick Ntalasha; Renfa Li; Yongheng Wang (EAI Endorsed Trans. Context aware Syst. Appl., 2016)

A Streaming Data Prediction Method Based on Evolving Bayesian Network. - Yongheng Wang; Guidan Chen; Zengwang Wang (APWeb/WAIM (2), 2017)

A Prediction Method Based on Complex Event Processing for Cyber Physical System. - Shaofeng Geng; Xiaoxi Guo; Jia Zhang; Yongheng Wang; Renfa Li; Binghua Song (MSN, 2017)

Rival Learner Algorithm with Drift Adaptation for Online Data Stream Regression. - Zhenwei Liao; Yongheng Wang (ACAI, 2018)

A Proactive Decision Support System for Online Event Streams. - Yongheng Wang; Xiaozan Zhang; Zengwang Wang (Int. J. Inf. Technol. Decis. Mak., 2018)

A proactive decision support method based on deep reinforcement learning and state partition. - Yongheng Wang; Shaofeng Geng; Hui Gao (Knowl. Based Syst., 2018)

Predictive complex event processing based on evolving Bayesian networks. - Yongheng Wang; Hui Gao; Guidan Chen (Pattern Recognit. Lett., 2018)

Learning Non-Stationary Dynamic Bayesian Network Structure from Data Stream. - Qing Meng; Yongheng Wang; Jingbin An; Zhongru Wang; Baoxing Zhang; Lijie Liu (DSC, 2019)

Uncertain Complex Event Processing Based on Markov Logical Networks. - Yongheng Wang; Zengwang Wang; Lijie Liu; Xiaozan Zhang (DSC, 2019)

Text Sentiment Analysis Based on Parallel Recursive Constituency Tree-LSTM. - Yongheng Wang; Xiaozan Zhang; Xiangge Wang; Rong Zhu; Zengwang Wang; Lijie Liu (DSC, 2019)

Logic-Based Online Complex Event Rule Learning with Weight Optimization. - Yongheng Wang; Rong Zhu; Zengwang Wang; Xiaozan Zhang; Baoxing Zhang (DSC, 2019)

Solar Pumped Lasers for Free Space Laser Communication. - Changming Zhao; Haiyang Zhang; Zhe Guan; Zitao Cai; Dongbing He; Yongheng Wang (PHOTOPTICS, 2019)

Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm. - Derrick Ntalasha; Renfa Li; Yongheng Wang (J. Mobile Multimedia, 2019)

Toward Fast Convergence and Calibration-Free Visual Servoing Control: A New Image Based Uncalibrated Finite Time Control Scheme. - Yu Chang; Lin Li 024; Yongheng Wang; Kun You (IEEE Access, 2020)

A ghost structure finite difference method for a fractional FitzHugh-Nagumo monodomain model on moving irregular domain. - Yongheng Wang; Li Cai; Xiaobing Feng 001; Xiaoyu Luo; Hao Gao 002 (J. Comput. Phys., 2021)

Functional characterization of disease/comorbidity-associated lncRNA. - Jing Tang; Yongheng Wang; Jianbo Fu; Xianglu Wu; Zhijie Han 002; Chuan Wang; Maiyuan Guo; Yingxiong Wang; Yubin Ding; Bo Yang; Feng Zhu 004 (Quant. Biol., 2021)

Distil Knowledge from Natural Language. - Yixun Liu; Chuyi Zou; Yongheng Wang (ICCAI, 2022)

Clustering-Based Semi-Supervised Cross-Modal Retrieval Using Scene Graph. - Yixue Kong; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2022)

A deep trajectory clustering method based on sequence-to-sequence autoencoder model. - Chao Wang; Fangzheng Lyu; Sensen Wu; Yuanyuan Wang; Liuchang Xu; Feng Zhang 009; Shaowen Wang 001; Yongheng Wang; Zhenhong Du (Trans. GIS, 2022)

Stainless Steel Crack Detection Based on MATLAB. - Wei Liao; Yongheng Wang; Yanbing Guo (6GN (1), 2023)

Can We Edit Multimodal Large Language Models? - Siyuan Cheng 008; Bozhong Tian; Qingbin Liu; Xi Chen 003; Yongheng Wang; Huajun Chen; Ningyu Zhang 001 (EMNLP, 2023)

Joint Robust Representation And Generalization Enhancement For Cross-Modality Person Re-Identification. - Heqing Cheng; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (ICASSP, 2023)

Distributed Training of Large Language Models. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Philip S. Yu (ICPADS, 2023)

Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. - Yuheng Jia; Jiahao Jiang; Yongheng Wang (KDD, 2023)

A probabilistic linguistic and dual trust network-based user collaborative filtering model. - Sichao Chen; Chonghui Zhang; Shouzhen Zeng; Yongheng Wang; Weihua Su (Artif. Intell. Rev., 2023)

SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation. - Yuan Cao 003; Xudong Zhang; Fan Zhang; Feifei Kou; Josiah Poon; Xiongnan Jin; Yongheng Wang; Jinpeng Chen 001 (CoRR, 2023)

Continual Multimodal Knowledge Graph Construction. - Xiang Chen 016; Jintian Zhang; Xiaohan Wang; Tongtong Wu; Shumin Deng; Yongheng Wang; Luo Si; Huajun Chen; Ningyu Zhang 001 (CoRR, 2023)

Improving Knowledge Distillation via Regularizing Feature Norm and Direction. - Yuzhu Wang; Lechao Cheng; Manni Duan; Yongheng Wang; Zunlei Feng; Shu Kong (CoRR, 2023)

Large Language Models for Robotics: A Survey. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Ning Liu; Philip S. Yu (CoRR, 2023)

Joint Planning of Active Distribution Network and EV Charging Stations Considering Vehicle-to-Grid Functionality and Reactive Power Support. - Yongheng Wang; Xinwei Shen 001; Yan Xu (CoRR, 2023)

Revealing the Semantics of Data Wrangling Scripts With Comantics. - Kai Xiong; Zhongsu Luo; Siwei Fu; Yongheng Wang; Mingliang Xu 001; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2023)

SIC50: Determining drug inhibitory concentrations using a vision transformer and an optimized Sobel operator. - Yongheng Wang; Weidi Zhang; Hoyin Yip; Chuyuan Qu; Hongru Hu; Xiaotie Chen; Teresa Lee; Xi Yang; Bingjun Yang; Priyadarsini Kumar; Su Yeon Lee; Javier J. Casimiro; et al. (Patterns, 2023)

Satisfaction-aware Task Assignment in Spatial Crowdsourcing. - Yuan Xie; Yongheng Wang; Kenli Li 001; Xu Zhou 001; Zhao Liu; Keqin Li 001 (Inf. Sci., 2023)

Multi-modal transformer using two-level visual features for fake news detection. - Bin Wang; Yong Feng 002; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Improve Session-Based Recommendation with Triplet Mining and Dynamic Perturbations Graph Neural Networks. - Jiayi Zhu; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Yu Xia; Baohua Qiang; Qin Mao; Bin Fang 001 (Int. J. Pattern Recognit. Artif. Intell., 2023)

An intelligent approach to automatically discovering visual insights. - Yuhua Zhou; Xiyu Meng; Yanhong Wu; Tan Tang; Yongheng Wang; Yingcai Wu (J. Vis., 2023)

Multi-level network based on transformer encoder for fine-grained image-text matching. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Multim. Syst., 2023)

Multilevel Similarity-Aware Deep Metric Learning for Fine-Grained Image Retrieval. - Congcong Duan; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang; Weijia Jia 001 (IEEE Trans. Ind. Informatics, 2023)

A Jointly Guided Deep Network for Fine-Grained Cross-Modal Remote Sensing Text-Image Retrieval. - Lei Yang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (J. Circuits Syst. Comput., 2023)

TIAR: Text-Image-Audio Retrieval with weighted multimodal re-ranking. - Peide Chi; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Appl. Intell., 2023)

Computational experiment-aided prescriptive decision-making for complex supply chains: A case of multi-generation smartphone marketing. - Qingqi Long; Yingni Chen; Yongheng Wang; Le Xu; Shuzhu Zhang; Juanjuan Peng (Expert Syst. Appl., 2023)

Strategic use of payoff information in k-hop evolutionary Best-shot networked public goods game. - Xing Jin 002; Yuchen Tao; Jingrui Wang; Chao Wang; Yongheng Wang; Zhouyang Zhang; Zhen Wang 013 (Appl. Math. Comput., 2023)

Tex2Py-45K: A Parallel Corpus Dataset for Bidirectional Conversion Between LaTeX and Python. - Lei Li 043; Manni Duan; Yongheng Wang (CSAI, 2024)

Improving Knowledge Distillation via Regularizing Feature Direction and Norm. - Yuzhu Wang; Lechao Cheng; Manni Duan; Yongheng Wang; Zunlei Feng; Shu Kong (ECCV (24), 2024)

Continual Multimodal Knowledge Graph Construction. - Xiang Chen 016; Jingtian Zhang; Xiaohan Wang; Ningyu Zhang 001; Tongtong Wu; Yuxiang Wang 001; Yongheng Wang; Huajun Chen (IJCAI, 2024)

HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs. - Tingxuan Chen; Jun Long; Liu Yang; Zidong Wang 005; Yongheng Wang; Xiongnan Jin (NAACL-HLT, 2024)

A Survey of AI-Generated Video Evaluation. - Xiao Liu; Xinhao Xiang; Zizhong Li; Yongheng Wang; Zhuoheng Li; Zhuosheng Liu; Weidi Zhang; Weiqi Ye; Jiawei Zhang (CoRR, 2024)

Deep Multiscale Fine-Grained Hashing for Remote Sensing Cross-Modal Retrieval. - Jiaxiang Huang; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (IEEE Geosci. Remote. Sens. Lett., 2024)

A fast time integral finite difference method for a space-time fractional FitzHugh-Nagumo monodomain model in irregular domains. - Li Cai; Jin Cao; Feifei Jing; Yongheng Wang (J. Comput. Phys., 2024)

EMPNet: An extract-map-predict neural network architecture for cross-domain recommendation. - Jinpeng Chen 001; Fan Zhang; Huan Li 003; Hua Lu 001; Xiongnan Jin; Kuien Liu; Hongjun Li; Yongheng Wang (World Wide Web (WWW), 2024)

ExeVis: concept-based visualization of exercises in online learning. - Zhiguang Zhou; Lihong Cai; Jiayi Guo; Yong Zhang; Baofeng Chang; Ting Xu 002; Yongheng Wang (J. Vis., 2024)

JsonCurer: Data Quality Management for JSON Based on an Aggregated Schema. - Kai Xiong; Xinyi Xu; Siwei Fu; Di Weng; Yongheng Wang; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2024)

DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images. - Ya-ling Li; Yong Feng 002; Mingliang Zhou 001; Xiancai Xiong; Yongheng Wang; Baohua Qiang (Vis. Comput., 2024)

A Deep Spatiotemporal Trajectory Representation Learning Framework for Clustering. - Chao Wang; Jiahui Huang; Yongheng Wang; Zhengxuan Lin; Xiongnan Jin; Xing Jin 002; Di Weng; Yingcai Wu (IEEE Trans. Intell. Transp. Syst., 2024)

VIVIAN: virtual simulation and visual analysis of epidemic spread data. - Guojun Li; Baofeng Chang; Jian Zhao; Jiayang Wang; Fan He; Yongheng Wang; Ting Xu 002; Zhiguang Zhou (J. Vis., 2024)

Ensemble Clustering via Co-Association Matrix Self-Enhancement. - Yuheng Jia; Sirui Tao; Ran Wang 001; Yongheng Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. - Zexi Li 001; Jiaxun Lu; Shuang Luo; Didi Zhu; Yunfeng Shao 001; Yinchuan Li; Zhimeng Zhang; Yongheng Wang; Chao Wu 001 (IEEE Trans. Big Data, 2024)

Structure and Position-Aware Graph Modeling for Trajectory Similarity Computation Over Road Networks. - Peilun Yang; Hanchen Wang 001; Zhangyi Xu; Zhengping Qian; Yongheng Wang; Ying Zhang 001 (ICDE, 2025)

Interactive Visualization of LSST Quantum Graph. - Lei Li 043; Manni Duan; Yongheng Wang (IUI Companion, 2025)

Genetic regulation of lncRNA expression in whole human brain and their contribution to CNS disorders. - Yijie He; Yaqin Tang; Pengcheng Tan; Dongyu Huang; Yongheng Wang; Tong Wen; Lin Huang; Jia Wang; Lizhen Shao; Qinyu Cai; Zhimou Li; Yueyang Wang; et al. (Briefings Bioinform., 2025)

A survey on knowledge graph evolution: proliferation, dynamic embedding, and versioning. - Xiongnan Jin; Zhilin Wang; Manni Duan; Yan Shao; Xingyun Hong; Yongheng Wang; Byungkook Oh (Int. J. Web Grid Serv., 2025)

VIS4SL: A visual analytic approach for interpreting and diagnosing shortcut learning. - Xiyu Meng; Tan Tang; Yuhua Zhou; Zihan Yan; Dazhen Deng; Yongheng Wang; Yuhan Wu; Yingcai Wu (Knowl. Based Syst., 2025)

Dual-modality visual feature flow for medical report generation. - Quan Tang 006; Liming Xu; Yongheng Wang; Bochuan Zheng; Jiancheng Lv 001; Xianhua Zeng; Weisheng Li 001 (Medical Image Anal., 2025)

Distributed training of large language models: A survey. - Fanlong Zeng; Wensheng Gan; Yongheng Wang; Philip S. Yu (Nat. Lang. Process. J., 2025)

Deep Disease Label-guided Graph Convolutional Network for Medical Report Generation. - Liming Xu; Yongheng Wang; Chunlin He; Quan Tang 006; Xianhua Zeng; Jiancheng Lv 001 (ACM Trans. Knowl. Discov. Data, 2025)

ConceptThread: Visualizing Threaded Concepts in MOOC Videos. - Zhiguang Zhou; Li Ye; Lihong Cai; Lei Wang 194; Yigang Wang; Yongheng Wang; Wei Chen 001; Yong Wang 021 (IEEE Trans. Vis. Comput. Graph., 2025)

DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts. - Ling Zhong; Yujing Lu; Jing Yang; Weiming Li; Peng Wei; Yongheng Wang; Manni Duan; Qing Zhang (CoRR, 2025)

A Unified Framework for Interactive Visual Graph Matching via Attribute-Structure Synchronization. - Yuhua Liu; Haoxuan Wang; Jiajia Kou; Ling Sun; Heyu Wang; Yongheng Wang; Yigang Wang; Jinchang Lic; Zhiguang Zhou (CoRR, 2025)

Linking Text and Visualizations via Contextual Knowledge Graph. - Xiwen Cai; Di Weng; Taotao Fu; Siwei Fu; Yongheng Wang; Yingcai Wu (IEEE Trans. Vis. Comput. Graph., 2025)

ChartKG: A Knowledge-Graph-Based Representation for Chart Images. - Zhiguang Zhou; Haoxuan Wang 001; Zhengqing Zhao; Fengling Zheng; Yongheng Wang; Wei Chen 001; Yong Wang 021 (IEEE Trans. Vis. Comput. Graph., 2025)