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ORCIDJinchuan Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j9]Wang-Tao Zhou
, Zhao Kang, Ling Tian, Jinchuan Zhang, Yumeng Liu:
Non-autoregressive diffusion-based temporal point processes for continuous-time long-term event prediction. Expert Syst. Appl. 267: 126210 (2025)- 2024
- [j8]Yilong Feng, Lijuan Jia, Jinchuan Zhang, Junqi Chen:
FFSwinNet: CNN-Transformer Combined Network With FFT for Shale Core SEM Image Segmentation. IEEE Access 12: 73021-73032 (2024) - [j7]Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian:
Learning multi-graph structure for Temporal Knowledge Graph reasoning. Expert Syst. Appl. 255: 124561 (2024) - [j6]Jinchuan Zhang, Ming Sun, Qian Huang, Ling Tian:
PLEASING: Exploring the historical and potential events for temporal knowledge graph reasoning. Neural Networks 179: 106516 (2024) - [j5]Junqi Chen, Lijuan Jia, Jinchuan Zhang, Yilong Feng, Xiaobin Zhao, Ran Tao:
Super-Resolution for Land Surface Temperature Retrieval Images via Cross-Scale Diffusion Model Using Reference Images. Remote. Sens. 16(8): 1356 (2024) - [j4]Tingqi Wang, Xu Zheng, Jinchuan Zhang, Ling Tian:
Federal Graph Contrastive Learning With Secure Cross-Device Validation. IEEE Trans. Mob. Comput. 23(12): 14145-14158 (2024) - [c10]Jinhao Zhang, Lizong Zhang, Jinchuan Zhang, Yichen Xin, Xu Zheng:
Complex Knowledge Base Question Answering via Structure and Content Dual-Driven Method. APWeb/WAIM (2) 2024: 243-255 - [c9]Chong Mu, Lizong Zhang, Jinchuan Zhang, Qian Huang, Zhiguo Wang:
Inductive Knowledge Graph Embedding via Exploring Interaction Patterns of Relations. CIKM 2024: 1722-1731 - [c8]Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu:
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction. EMNLP 2024: 13711-13736 - [c7]Yaxin Liu, Yan Zhou, Ziming Li, Jinchuan Zhang, Yu Shang, Chenyang Zhang, Songlin Hu:
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis. ICME 2024: 1-6 - [c6]Jiaping Ren, Jiahao Xiang, Hongfei Gao, Jinchuan Zhang, Yiming Ren, Yuexin Ma, Yi Wu, Ruigang Yang, Wei Li:
NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks. ICRA 2024: 14251-14257 - [i6]Jinchuan Zhang, Bei Hui, Chong Mu, Ming Sun, Ling Tian:
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning. CoRR abs/2405.10621 (2024) - [i5]Yaxin Liu, Yan Zhou, Ziming Li, Jinchuan Zhang, Yu Shang, Chenyang Zhang, Songlin Hu:
RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis. CoRR abs/2405.13059 (2024) - [i4]Jinchuan Zhang, Tianqi Wan, Chong Mu, Guangxi Lu, Ling Tian:
Learning Granularity Representation for Temporal Knowledge Graph Completion. CoRR abs/2408.15293 (2024) - [i3]Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu:
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction. CoRR abs/2409.16783 (2024) - [i2]Jiaping Ren, Jiahao Xiang, Hongfei Gao, Jinchuan Zhang, Yiming Ren, Yuexin Ma, Yi Wu, Ruigang Yang, Wei Li:
NPC: Neural Predictive Control for Fuel-Efficient Autonomous Trucks. CoRR abs/2412.13618 (2024) - 2023
- [j3]Leyi Duan, Yuguang Wei, Jinchuan Zhang, Yang Xia:
Addressing the urban-scale vehicle assignment and rebalancing problems in shared autonomous vehicle system while simultaneously considering immediate, reservation, shareable, and unshareable requests. Comput. Ind. Eng. 177: 109025 (2023) - [c5]Jinchuan Zhang, Yan Zhou, Binyuan Hui, Yaxin Liu, Ziming Li, Songlin Hu:
TrojanSQL: SQL Injection against Natural Language Interface to Database. EMNLP 2023: 4344-4359 - [i1]Jinchuan Zhang, Bei Hui, Chong Mu, Ling Tian:
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning. CoRR abs/2312.03004 (2023) - 2022
- [j2]Ying Wang, Zheming Zhang, Dennis Huisman, Andrea D'Ariano, Jinchuan Zhang:
A Lagrangian relaxation approach based on a time-space-state network for railway crew scheduling. Comput. Ind. Eng. 172(Part): 108509 (2022) - [c4]Cuiyun Han, Jinchuan Zhang, Xinyu Li, Guojin Xu, Weihua Peng, Zengfeng Zeng:
DuEE-Fin: A Large-Scale Dataset for Document-Level Event Extraction. NLPCC (1) 2022: 172-183 - 2021
- [j1]Zhen Zhang, Jinchuan Zhang, Lingzhi Zhu:
A Parameterized Approximation Algorithm for the Chromatic k-Median Problem. IEEE Access 9: 31678-31683 (2021)
2010 – 2019
- 2019
- [c3]Peisong Huang, Peijie Huang, Wencheng Ai, Jiande Ding, Jinchuan Zhang:
Latent Topic Attention for Domain Classification. INTERSPEECH 2019: 1338-1342 - 2017
- [c2]Ying Lu, Heng Peng, Jiwei Zhao, Ziming Deng, Zijian Huang, Jinchuan Zhang, Jian Deng, Zhiyong Wang, Chuanmin Wei:
Ubiquitous blood pressure monitoring using EEG and PPG signals. UbiComp/ISWC Adjunct 2017: 257-260 - 2011
- [c1]Yixin Yu, Jinchuan Zhang, Zhijun Jin:
An Application of the BP Neural Network to Carbonate Karst Reservoirs Prediction. ISCID (2) 2011: 133-136
Coauthor Index
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