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ORCIDHongzhi Wang 0001
王宏志
Person information
- affiliation: Harbin Institute of Technology, China
- unicode name: 王宏志
Other persons with the same name
- Hongzhi Wang (aka: Hong-Zhi Wang) — disambiguation page
- Hongzhi Wang 0002
![[0000-0003-3608-8932]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3608-8932")
— IBM Almaden Research Center, San Jose, CA, USA (and 2 more) - Hongzhi Wang 0003 — Supélec/IETR, Cesson Sévigné, France
- Hongzhi Wang 0004 — Changchun University of Technology, College of Computer Science and Engineering, Chang Chun, China
- Hongzhi Wang 0005 — Chinese Academy of Sciences, State Key Laboratory of Resources and Environmental Information System, Beijing, China
- Hongzhi Wang 0006 — Qingdao Agricultural University, School of Management, Qingdao, China
- Hongzhi Wang 0007 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, Anhui Province Key Laboratory of Medical Physics and Technology, Hefei, China (and 1 more)
- Hongzhi Wang 0008 — Dalian Jiaotong University, Network & Information Center, Dalian, China
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2020 – today
- 2025
[j153]Yu Yan, Jian Geng, Hongzhi Wang, Kaixin Zhang, Yuzhuo Wang:
ACDRL: A constraint-guided dynamic reinforcement learning for index selection. Inf. Sci. 689: 121448 (2025)- 2024
- [b2]Zhixin Qi, Hongzhi Wang, Zejiao Dong:
Dirty Data Processing for Machine Learning, 2. Springer 2024, ISBN 978-981-99-7656-0, pp. 1-133 - [j152]Chunnan Wang, Xingyu Chen, Chengyue Wu, Hongzhi Wang:
Automatic time series forecasting model design based on pruning. Appl. Soft Comput. 162: 111804 (2024) - [j151]Shuangshuang Cui, Xian Wu, Hongzhi Wang, Hao Wu:
Multimodal Data Modeling Technology and Its App-19lication for Cloud-edge-device Collaboration. Int. J. Softw. Informatics 14(1): 5-29 (2024) - [j150]Huaiyuan Liu, Donghua Yang, Xianzhang Liu, Xinglei Chen, Zhiyu Liang, Hongzhi Wang, Yong Cui, Jun Gu:
TodyNet: Temporal dynamic graph neural network for multivariate time series classification. Inf. Sci. 677: 120914 (2024) - [j149]Yuzhuo Wang, Hongzhi Wang, Xianglong Liu, Yu Yan:
GFedKG: GNN-based federated embedding model for knowledge graph completion. Knowl. Based Syst. 301: 112290 (2024) - [j148]Aya El-Fatyany, Hongzhi Wang, Mehak Khan, Saied M. Abd El-atty:
Analytical framework for end-to-end channel capacity in molecular communication system. Multim. Tools Appl. 83(1): 527-550 (2024) - [j147]Yingze Li, Hongzhi Wang, Xianglong Liu:
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting. Proc. ACM Manag. Data 2(1): 15:1-15:26 (2024) - [j146]Han Hu, Jiye Qiu, Hongzhi Wang, Bin Liang, Songling Zou:
DIDS: Double Indices and Double Summarizations for Fast Similarity Search. Proc. VLDB Endow. 17(9): 2198-2211 (2024) - [j145]Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Chen Wang, Jianmin Wang:
Clean4TSDB: A Data Cleaning Tool for Time Series Databases. Proc. VLDB Endow. 17(12): 4377-4380 (2024) - [j144]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. Proc. VLDB Endow. 17(12): 4489-4492 (2024) - [j143]Alladoumbaye Ngueilbaye, Hongzhi Wang, Mehak Khan, Daouda Ahmat Mahamat:
Retraction Note: Adoption of human metabolic processes as Data Quality Based Models. J. Supercomput. 80(17): 25711 (2024) - [j142]Chunnan Wang, Xiangyu Shi, Hongzhi Wang:
Fair Federated Learning with Multi-Objective Hyperparameter Optimization. ACM Trans. Knowl. Discov. Data 18(8): 208:1-208:13 (2024) - [j141]Xinyue Shao, Hongzhi Wang, Xiang Chen, Xiao Zhu, Yan Zhang:
CUBE: Causal Intervention-Based Counterfactual Explanation for Prediction Models. IEEE Trans. Knowl. Data Eng. 36(6): 2416-2429 (2024) - [j140]Zhiyu Liang, Hongzhi Wang:
FedST: secure federated shapelet transformation for time series classification. VLDB J. 33(5): 1617-1641 (2024) - [c158]Shenghe Zheng, Hongzhi Wang, Tianyu Mu:
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning. AAAI 2024: 17051-17059 - [c157]Zhixin Qi, Hongzhi Wang:
Access Structure Selection for Knowledge Graphs Based on Machine Learning. ACM TUR-C 2024 - [c156]Zhiyu Liang, Yihao Dai, Bo Zheng, Hongzhi Wang:
Cnos-Connector: Enabling Seamless Connection with CnosDB to Facilitate Large-Scale Time-Series Data Management and Analytics. DASFAA (7) 2024: 452-456 - [c155]Zhiyu Liang, Tingting Zhang, Bo Zheng, Hongzhi Wang:
Towards Real-Time Data Ingestion for Industrial Internet of Things. DASFAA (7) 2024: 457-461 - [c154]Zhiyu Liang, Linhan Jia, Bo Zheng, Hongzhi Wang:
iMonitor: A Real-Time Monitoring Platform for Industrial Internet of Things. DASFAA (7) 2024: 462-465 - [c153]Chunnan Wang, Hongzhi Wang, Xiangyu Shi:
AutoMC: Automated Model Compression Based on Domain Knowledge and Progressive Search. ICDE 2024: 1819-1832 - [c152]Tianyu Mu, Hongzhi Wang, Haoyun Tang, Xinyue Shao:
ShrinkHPO: Towards Explainable Parallel Hyperparameter Optimization. ICDE 2024: 4897-4910 - [c151]Xiaolong Wan, Hongzhi Wang:
Efficient Semi-External SCC Computation (Extended Abstract). ICDE 2024: 5713-5714 - [c150]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang:
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem. KDD 2024: 1921-1932 - [c149]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
UniTS: A Universal Time Series Analysis Framework Powered by Self-Supervised Representation Learning. SIGMOD Conference Companion 2024: 480-483 - [i68]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
TimeCSL: Unsupervised Contrastive Learning of General Shapelets for Explorable Time Series Analysis. CoRR abs/2404.05057 (2024) - [i67]Shenghe Zheng, Hongzhi Wang, Xianglong Liu:
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors. CoRR abs/2405.00957 (2024) - [i66]Yu Yan, Junfang Huang, Hongzhi Wang, Jian Geng, Kaixin Zhang, Tao Yu:
KnobCF: Uncertainty-aware Knob Tuning. CoRR abs/2407.02803 (2024) - [i65]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang:
An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem. CoRR abs/2408.08484 (2024) - 2023
- [j139]Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong, Tianyu Mu, Yan Zhang:
EFFECT: Explainable framework for meta-learning in automatic classification algorithm selection. Inf. Sci. 622: 211-234 (2023) - [j138]Yu Yan, Man Yang, Hongzhi Wang, Yuzhuo Wang, Tao Yu:
AAE: An active auto-estimator for improving graph storage. Inf. Sci. 623: 421-433 (2023) - [j137]Yuzhuo Wang, Hongzhi Wang, Wenbo Lu, Yu Yan:
HyGGE: Hyperbolic graph attention network for reasoning over knowledge graphs. Inf. Sci. 630: 190-205 (2023) - [j136]Nan Jiang, Qingping Xiang, Hongzhi Wang, Bo Zheng:
Time series compression based on reinforcement learning. Inf. Sci. 648: 119490 (2023) - [j135]Guosheng Feng, Hongzhi Wang, Chunnan Wang:
Search for deep graph neural networks. Inf. Sci. 649: 119617 (2023) - [j134]Xintong Song, Donghua Yang, Yutong Wang, Hongzhi Wang, Jinbao Wang, Bo Zheng:
TransFusion Model Fusion Mechanism Based on Transformer for Traffic Flow Prediction. J. Database Manag. 34(3): 1-14 (2023) - [j133]Hongzhi Wang, Yan Wei, Hao Yan:
Automatic single table storage structure selection for hybrid workload. Knowl. Inf. Syst. 65(11): 4713-4739 (2023) - [j132]Bozhou Chen, Hongzhi Wang:
SoftStep relaxation for mining optimal convolution kernel. Knowl. Based Syst. 276: 110755 (2023) - [j131]Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang:
Identifying effective trajectory predictions under the guidance of trajectory anomaly detection model. Pattern Recognit. 140: 109559 (2023) - [j130]Mehak Khan, Hongzhi Wang, Alladoumbaye Ngueilbaye, Aya El-Fatyany:
End-to-end multivariate time series classification via hybrid deep learning architectures. Pers. Ubiquitous Comput. 27(2): 177-191 (2023) - [j129]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning. Proc. VLDB Endow. 17(3): 386-399 (2023) - [j128]Alladoumbaye Ngueilbaye, Joshua Zhexue Huang, Mehak Khan, Hongzhi Wang:
Data quality model for assessing public COVID-19 big datasets. J. Supercomput. 79(17): 19574-19606 (2023) - [j127]Chunnan Wang, Kaixin Zhang, Hongzhi Wang, Bozhou Chen:
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search. ACM Trans. Knowl. Discov. Data 17(5): 73:1-73:21 (2023) - [j126]Zhixin Qi, Hongzhi Wang, Haoran Zhang:
A Dual-Store Structure for Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(2): 1104-1118 (2023) - [j125]Rui Kang, Hongzhi Wang:
Dynamic Relation Repairing for Knowledge Enhancement. IEEE Trans. Knowl. Data Eng. 35(2): 1434-1445 (2023) - [j124]Xiaolong Wan, Hongzhi Wang:
Efficient Semi-External SCC Computation. IEEE Trans. Knowl. Data Eng. 35(4): 3794-3807 (2023) - [j123]Xiaolong Wan, Hongzhi Wang:
Reachability Queries With Label and Substructure Constraints on Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35(6): 6238-6251 (2023) - [j122]Kaixin Zhang, Hongzhi Wang, Han Hu, Songling Zou, Jiye Qiu, Tongxin Li, Zhishun Wang:
TENSILE: A Tensor Granularity Dynamic GPU Memory Scheduling Method Toward Multiple Dynamic Workloads System. IEEE Trans. Knowl. Data Eng. 35(8): 8630-8643 (2023) - [j121]Chunnan Wang, Bozhou Chen, Geng Li, Hongzhi Wang:
Automated Graph Neural Network Search Under Federated Learning Framework. IEEE Trans. Knowl. Data Eng. 35(10): 9959-9972 (2023) - [j120]Zhixin Qi, Hongzhi Wang, Ziming Shen, Donghua Yang:
PreKar: A learned performance predictor for knowledge graph stores. World Wide Web (WWW) 26(1): 321-341 (2023) - [j119]Xiaoxiao Xie, Shengfei Shi, Hongzhi Wang, Mohan Li:
SAT: sampling acceleration tree for adaptive database repartition. World Wide Web (WWW) 26(5): 3503-3533 (2023) - [j118]Zemin Chao, Hong Gao, Dongjing Miao, Hongzhi Wang:
Discovering time series motifs of all lengths using dynamic time warping. World Wide Web (WWW) 26(6): 3815-3836 (2023) - [c148]Zhixin Qi, Haoran Zhang, Hongzhi Wang, Zemin Chao:
ANSWER: Automatic Index Selector for Knowledge Graphs. APWeb-WAIM (2) 2023: 393-407 - [c147]Yu Yan, Hongzhi Wang, Junfang Huang, Jian Geng, Zixuan Wang, Yuzhuo Wang:
RDBlab: An Artificial Simulation System for RDBMSs. APWeb/WAIM (4) 2023: 507-512 - [c146]Kaiqi Zhang, Siyuan Zhang, Jirun Gao, Hongzhi Wang, Hong Gao, Jianzhong Li:
A Novel Approximation Algorithm for Max-Covering Circle Problem. COCOA (1) 2023: 226-238 - [c145]Tianyu Mu, Zhenli Sheng, Lekui Zhou, Hongzhi Wang:
Auto-TSA: An Automatic Time Series Analysis System Based on Meta-learning. DASFAA (Workshops) 2023: 138-147 - [c144]Xiaoou Ding, Yida Liu, Hongzhi Wang, Donghua Yang, Yichen Song:
SNN-AAD: Active Anomaly Detection Method for Multivariate Time Series with Sparse Neural Network. DASFAA (1) 2023: 253-269 - [c143]Huaiyuan Liu, Hongzhi Wang, Hekai Huang, Donghua Yang, Yong Tang, Yanhao Huang:
PFKMaster: A Knowledge-Driven Flow Control System for Large-Scale Power Grid. DASFAA (4) 2023: 650-657 - [c142]Xiaoou Ding, Yichen Song, Hongzhi Wang, Donghua Yang, Yida Liu:
Cleanits-MEDetect: Multiple Errors Detection for Time Series Data in Cleanits. DASFAA (4) 2023: 674-678 - [c141]Yu Yan, Bo Zheng, Hongzhi Wang, Jinkai Zhang, Yutong Wang:
CnosDB: A Flexible Distributed Time-Series Database for Large-Scale Data. DASFAA (4) 2023: 696-700 - [c140]Yuhan Wu, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang:
Approximate Query Processing Based on Approximate Materialized View. ICA3PP (2) 2023: 168-185 - [c139]Tianbao Li, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang:
Schema Integration on Massive Data Sources. ICA3PP (2) 2023: 186-206 - [c138]Tianyu Mu, Hongzhi Wang, Shenghe Zheng, Zhiyu Liang, Chunnan Wang, Xinyue Shao, Zheng Liang:
TSC-AutoML: Meta-learning for Automatic Time Series Classification Algorithm Selection. ICDE 2023: 1032-1044 - [c137]Xiaolong Wan, Hongzhi Wang:
Reachability Queries with Label and Substructure Constraints on Knowledge Graphs (Extended abstract). ICDE 2023: 3769-3770 - [c136]Haoran Zhang, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang:
Prediction of Time Series Data with Low Latitude Features. ICPCSEE (1) 2023: 145-164 - [c135]Zhuping Li, Donghua Yang, Mengmeng Li, Haifeng Guo, Tiansheng Ye, Hongzhi Wang:
Dimension Reduction Based on Sampling. ICPCSEE (1) 2023: 207-220 - [c134]Yanjie Wei, Haifeng Guo, Donghua Yang, Mengmeng Li, Bo Zheng, Hongzhi Wang:
Complex Time Series Analysis Based on Conditional Random Fields. ICPCSEE (1) 2023: 221-232 - [e11]Zhiwen Yu, Qilong Han, Hongzhi Wang, Bin Guo, Xiaokang Zhou, Xianhua Song, Zeguang Lu:
Data Science - 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I. Communications in Computer and Information Science 1879, Springer 2023, ISBN 978-981-99-5967-9 [contents] - [e10]Zhiwen Yu, Qilong Han, Hongzhi Wang, Bin Guo, Xiaokang Zhou, Xianhua Song, Zeguang Lu:
Data Science - 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II. Communications in Computer and Information Science 1880, Springer 2023, ISBN 978-981-99-5970-9 [contents] - [i64]Zhiyu Liang, Hongzhi Wang:
FedST: Federated Shapelet Transformation for Interpretable Time Series Classification. CoRR abs/2302.10631 (2023) - [i63]Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Zeyu Tian, Xiaoou Ding:
TS-Cabinet: Hierarchical Storage for Cloud-Edge-End Time-series Database. CoRR abs/2302.12976 (2023) - [i62]Shenghe Zheng, Hongzhi Wang, Tianyu Mu:
DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning. CoRR abs/2302.13020 (2023) - [i61]Zhiyu Liang, Chen Liang, Zheng Liang, Hongzhi Wang:
UniTS: A Universal Time Series Analysis Framework with Self-supervised Representation Learning. CoRR abs/2303.13804 (2023) - [i60]Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Yong Cui, Jun Gu:
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification. CoRR abs/2304.05078 (2023) - [i59]Yingze Li, Hongzhi Wang, Xianglong Liu:
One stone, two birds: A lightweight multidimensional learned index with cardinality support. CoRR abs/2305.17674 (2023) - [i58]Zhiyu Liang, Jianfeng Zhang, Chen Liang, Hongzhi Wang, Zheng Liang, Lujia Pan:
Contrastive Shapelet Learning for Unsupervised Multivariate Time Series Representation Learning. CoRR abs/2305.18888 (2023) - [i57]Kaixin Zhang, Hongzhi Wang, Yabin Lu, Ziqi Li, Chang Shu, Yu Yan, Donghua Yang:
Duet: efficient and scalable hybriD neUral rElation undersTanding. CoRR abs/2307.13494 (2023) - [i56]Chen Liang, Donghua Yang, Zhiyu Liang, Hongzhi Wang, Zheng Liang, Xiyang Zhang, Jianfeng Huang:
Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning. CoRR abs/2312.05698 (2023) - 2022
- [b1]Chen Ye, Hongzhi Wang, Guojun Dai:
Knowledge Discovery from Multi-Sourced Data. Springer Briefs in Computer Science, Springer 2022, ISBN 978-981-19-1878-0, pp. 1-83 - [j117]Hongzhi Wang, Wenbo Lu, Shihan Tang, Yang Song:
Predict industrial equipment failure with time windows and transfer learning. Appl. Intell. 52(3): 2346-2358 (2022) - [j116]Xuebin Su, Hongzhi Wang:
MISS: finding optimal sample sizes for approximate analytics. Distributed Parallel Databases 40(1): 165-200 (2022) - [j115]Yuzhuo Wang, Hongzhi Wang, Wenbo Lu, Yu Yan:
METransE: Manifold-like mechanism enhanced embedding for reasoning over knowledge graphs. Expert Syst. Appl. 209: 118288 (2022) - [j114]Xiaoou Ding, Hongzhi Wang, Genglong Li, Haoxuan Li, Yingze Li, Yida Liu:
IoT data cleaning techniques: A survey. Intell. Converged Networks 3(4): 325-339 (2022) - [j113]Tianyu Mu, Hongzhi Wang, Chunnan Wang, Zheng Liang, Xinyue Shao:
Auto-CASH: A meta-learning embedding approach for autonomous classification algorithm selection. Inf. Sci. 591: 344-364 (2022) - [j112]Chunnan Wang, Hongzhi Wang, Tianyu Mu, Zhixin Qi:
Evaluating community quality based on ground-truth. Inf. Sci. 599: 104-126 (2022) - [j111]Xiaolong Wan, Hongzhi Wang:
Efficient semi-external depth-first search. Inf. Sci. 599: 170-191 (2022) - [j110]Xiaolong Wan, Hongzhi Wang:
A linear algorithm for semi-external cutnode computation. Inf. Sci. 615: 368-384 (2022) - [j109]Hongzhi Wang, Bozhou Chen, Yueyang Xu, Kaixin Zhang, Shengwen Zheng:
ConsciousControlFlow(CCF): Conscious Artificial Intelligence Based on Needs. J. Artif. Intell. Conscious. 9(1): 93-110 (2022) - [j108]Feng Xiong, Hongzhi Wang:
Mining Simple Path Traversal Patterns in Knowledge Graph. J. Web Eng. 21(2) (2022) - [j107]Feng Li, Shengfei Shi, Hongzhi Wang:
Partial multi-label learning via specific label disambiguation. Knowl. Based Syst. 250: 109093 (2022) - [j106]Chen Ye, Shihao Jiang, Hua Zhang, Yifan Wu, Jiankai Shi, Hongzhi Wang, Guojun Dai:
JointMatcher: Numerically-aware entity matching using pre-trained language models with attention concentration. Knowl. Based Syst. 251: 109033 (2022) - [j105]Jiabao Han, Hongzhi Wang:
A meta learning approach for open information extraction. Neural Comput. Appl. 34(15): 12681-12694 (2022) - [j104]Zhiyu Liang, Hongzhi Wang:
FedTSC: A Secure Federated Learning System for Interpretable Time Series Classification. Proc. VLDB Endow. 15(12): 3686-3689 (2022) - [j103]Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhu, Jing Gao, Jianzhong Li:
Constrained Truth Discovery. IEEE Trans. Knowl. Data Eng. 34(1): 205-218 (2022) - [j102]Xiaoou Ding, Hongzhi Wang, Jiaxuan Su, Muxian Wang, Jianzhong Li, Hong Gao:
Leveraging Currency for Repairing Inconsistent and Incomplete Data. IEEE Trans. Knowl. Data Eng. 34(3): 1288-1302 (2022) - [j101]Lei Zheng, Ziming Shen, Hongzhi Wang:
GSBRL : Efficient RDF graph storage based on reinforcement learning. World Wide Web 25(2): 763-784 (2022) - [c133]Yu Yan, Hongzhi Wang, Yutong Wang, Zhixin Qi, Jian Ma, Chang Liu, Meng Gao, Hao Yan, Haoran Zhang, Ziming Shen:
Multi-SQL: An Automatic Multi-model Data Management System. APWeb/WAIM (3) 2022: 451-455 - [c132]Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang:
ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. CVPR 2022: 6553-6562 - [c131]Jianping Huang, Hao Chen, Hongkai Wang, Jun Feng, Liangying Peng, Zheng Liang, Hongzhi Wang, Tianlan Fan, Tianren Yu:
Time Series Data Quality Enhancing Based on Pattern Alignment. DASFAA (Workshops) 2022: 363-375 - [c130]Chunnan Wang, Hongzhi Wang, Bo Xu, Xintong Song, Xiangyu Shi, Yuhao Bao, Bo Zheng:
CO-AutoML: An Optimizable Automated Machine Learning System. DASFAA (3) 2022: 509-513 - [c129]Zhixin Qi, Hongzhi Wang, Haoran Zhang:
A Dual-Store Structure for Knowledge Graphs (Extended Abstract). ICDE 2022: 1523-1524 - [c128]Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang:
A Generative Adversarial Active Learning Method for Effective Outlier Detection. ICTAI 2022: 131-139 - [c127]Amina Belhassena, Hongzhi Wang:
Parallel Skyline Query Processing of Massive Incomplete Activity-Trajectories Data. MEDI 2022: 193-206 - [c126]Yanheng Bi, Yingchi Long, Yanzheng Jin, Shengwen Zheng, Huaiyuan Liu, Hongzhi Wang:
Automatic Scheduling Technology of Computing Power Network Driven by Knowledge Graph. ICSS 2022: 154-160 - [c125]Geng Li, Boyuan Ren, Hongzhi Wang:
EEML: Ensemble Embedded Meta-Learning. WISE 2022: 433-442 - [e9]Yang Wang, Guobin Zhu, Qilong Han, Hongzhi Wang, Xianhua Song, Zeguang Lu:
Data Science - 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19-22, 2022, Proceedings, Part I. Communications in Computer and Information Science 1628, Springer 2022, ISBN 978-981-19-5193-0 [contents] - [i55]Chunnan Wang, Chen Liang, Xiang Chen, Hongzhi Wang:
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model. CoRR abs/2201.02941 (2022) - [i54]Chunnan Wang, Hongzhi Wang, Xiangyu Shi:
AutoMC: Automated Model Compression based on Domain Knowledge and Progressive search strategy. CoRR abs/2201.09884 (2022) - [i53]Rui Kang, Hongzhi Wang:
Dynamic Relation Repairing for Knowledge Enhancement. CoRR abs/2202.10141 (2022) - [i52]Chunnan Wang, Xingyu Chen, Chengyue Wu, Hongzhi Wang:
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning. CoRR abs/2203.14169 (2022) - [i51]Xinyue Shao, Hongzhi Wang, Xiao Zhu, Feng Xiong:
FIND: Explainable Framework for Meta-learning. CoRR abs/2205.10362 (2022) - [i50]Geng Li, Boyuan Ren, Hongzhi Wang:
EEML: Ensemble Embedded Meta-learning. CoRR abs/2206.09195 (2022) - [i49]Yu Yan, Man Yang, Hongzhi Wang, Yuzhuo Wang:
AAE: An Active Auto-Estimator for Improving Graph Storage. CoRR abs/2206.14363 (2022) - [i48]