Zhenzhen He

27 papers Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decoupled pedestrian trajectory prediction network with near-Aware attention.
Knowl. Based Syst.
Zhenzhen He, Xiaorong Gan, Ziyang Chen, Yabo Wu, Yongjun Zhang, Wenting Li
2026 J jnl
Structural hint-guided colorization network for sketch colorization.
Displays
Yunjiao Ma, Zhenzhen He, Jun Xiang, Ning Zhang, Ruru Pan
2025 J jnl
Cardinality estimation for property graph queries with gated learning approach on the graph database.
Multim. Tools Appl.
Zhenzhen He, Jiong Yu, Xusheng Du, Binglei Guo, Ziyang Li, Zhe Li
2025 J jnl
Information-assisted and sentiment relation-driven for aspect-based sentiment analysis.
Expert Syst. Appl.
Tiquan Gu, Zhenzhen He, Zhe Li, Yaling Wan
2025 J jnl
MPV: a density-peak-based method for automated cluster number detection.
PeerJ Comput. Sci.
Zhenzhen He, Xinyu Zhang
2024 J jnl
A novel query execution time prediction approach based on operator iterate-aware of the execution plan on the graph database.
J. King Saud Univ. Comput. Inf. Sci.
Zhenzhen He, Jiong Yu, Tiquan Gu
2024 J jnl
Aspect-based sentiment analysis with multi-granularity information mining and sentiment hint.
Expert Syst. Appl.
Tiquan Gu, Zhenzhen He, Hui Zhao, Min Li, Di Ying
2024 J jnl
AutoQuo: An Adaptive plan optimizer with reinforcement learning for query plan selection.
Knowl. Based Syst.
Xiaoqiao Xiong, Jiong Yu, Zhenzhen He
2024 J jnl
Query execution time estimation in graph databases based on graph neural networks.
J. King Saud Univ. Comput. Inf. Sci.
Zhenzhen He, Jiong Yu, Tiquan Gu, Dexian Yang
2024 J jnl
Using query semantic and feature transfer fusion to enhance cardinality estimating of property graph queries.
Displays
Zhenzhen He, Tiquan Gu, Jiong Yu
2023 J jnl
A Cardinality Estimator in Complex Database Systems Based on TreeLSTM.
Sensors
Kaiyang Qi, Jiong Yu, Zhenzhen He
2023 J jnl
ConvMADE: Convolution Makes Cardinality Estimation Stronger.
IEEE Access
Chao Gao, Jiong Yu, Zhenzhen He, Xiaoqiao Xiong
2023 J jnl
Integrating external knowledge into aspect-based sentiment analysis using graph neural network.
Knowl. Based Syst.
Tiquan Gu, Hui Zhao, Zhenzhen He, Min Li, Di Ying
2023 J jnl
Query cost estimation in graph databases via emphasizing query dependencies by using a neural reasoning network.
Concurr. Comput. Pract. Exp.
Zhenzhen He, Jiong Yu, Tiquan Gu, Zhe Li, Xusheng Du, Ping Li
2022 J jnl
A unified framework for abstractive summarization over prompt language model and pointer mechanism.
J. Intell. Fuzzy Syst.
Ping Li, Jiong Yu, Min Li, Jiayin Chen, Dexian Yang, Zhenzhen He
2022 J jnl
Execution Time Prediction for Cypher Queries in the Neo4j Database Using a Learning Approach.
Symmetry
Zhenzhen He, Jiong Yu, Binglei Guo
2022 J jnl
Fluctuation-based Outlier Detection.
CoRR
Xusheng Du, Enguang Zuo, Zhenzhen He, Jiong Yu
2021 — conf
Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK.
ICBL
Zhenzhen He, Changqin Huang, Tao He, Kai Bo
2020 J jnl
A Fast Method for Estimating the Number of Clusters Based on Score and the Minimum Distance of the Center Point.
Inf.
Zhenzhen He, Zongpu Jia, Xiaohong Zhang
2020 J jnl
Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment.
Complex.
Jinglun Liang, Yisheng Rong, Guoliang Ye, Xiaoxiao Li, Jianwen Guo, Zhenzhen He
2020 — conf
Fast Estimation for the Number of Clusters.
6GN
Xiaohong Zhang, Zhenzhen He, Zongpu Jia, Jianji Ren
2020 J jnl
Root cause analysis approach based on reverse cascading decomposition in QFD and fuzzy weight ARM for quality accidents.
Comput. Ind. Eng.
Panting Duan, Zhenzhen He, Yihai He, Fengdi Liu, Anqi Zhang, Di Zhou
2019 J jnl
Big Data-Oriented Product Infant Failure Intelligent Root Cause Identification Using Associated Tree and Fuzzy DEA.
IEEE Access
Zhenzhen He, Yihai He, Fengdi Liu, Yixiao Zhao
2017 J jnl
Big data oriented root cause identification approach based on Axiomatic domain mapping and weighted association rule mining for product infant failure.
Comput. Ind. Eng.
Yihai He, Chunling Zhu, Zhenzhen He, Changchao Gu, Jiaming Cui
2017 J jnl
Optimisation of burn-in time considering the hidden loss of quality deviations in the manufacturing process.
Int. J. Prod. Res.
Yihai He, Linbo Wang, Yi Wei, Zhenzhen He
2016 J jnl
A fuzzy TOPSIS and Rough Set based approach for mechanism analysis of product infant failure.
Eng. Appl. Artif. Intell.
Yi-Hai He, Linbo Wang, Zhenzhen He, Min Xie
2015 — conf
Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate.
IEEM
Linbo Wang, Yihai He, Zhenzhen He