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2020 – today
- 2024
[j7]Hao Dong
, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329: 104085 (2024)- [j6]Ping Xuan, Xiuqiang Chu, Hui Cui, Toshiya Nakaguchi, Linlin Wang, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Tiangang Zhang:
Multi-view attribute learning and context relationship encoding enhanced segmentation of lung tumors from CT images. Comput. Biol. Medicine 177: 108640 (2024) - [j5]Zhiyuan Ning, Zile Wang, Yang Liu, Jing Liu, Liang Song:
Memory-enhanced appearance-motion consistency framework for video anomaly detection. Comput. Commun. 216: 159-167 (2024) - [j4]Yuntian Chen, Xianjia Meng, Zhiying Shi, Zhiyuan Ning, Jingzhi Lin:
SecureTLM: Private inference for transformer-based large model with MPC. Inf. Sci. 667: 120429 (2024) - [j3]Zhiyuan Ning, Zhengfeng Bai:
Dynamics modeling and analysis of planetary gear mechanism under mixed elastohydrodynamic lubrication. Simul. Model. Pract. Theory 135: 102982 (2024) - [j2]Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong:
A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning. ACM Trans. Web 18(2): 18:1-18:26 (2024) - [c13]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. DASFAA (7) 2024: 172-187 - [c12]Penghui Wen, Kun Hu, Dong Yuan, Zhiyuan Ning, Changyang Li, Zhiyong Wang:
Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach. ICME 2024: 1-6 - [c11]Zhiyuan Zhu, Zhiyuan Ning, Hui Cui, Junao Shen, Jiaheng Wang, Xinyu Wang, Tian Feng:
MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion. ICME 2024: 1-6 - [c10]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. IJCAI 2024: 3944-3952 - [c9]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [c8]Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui:
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. MICCAI (5) 2024: 25-35 - [i15]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding. CoRR abs/2404.06167 (2024) - [i14]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i13]Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao:
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR abs/2406.07404 (2024) - [i12]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR abs/2407.00502 (2024) - [i11]Penghui Wen, Kun Hu, Dong Yuan, Zhiyuan Ning, Changyang Li, Zhiyong Wang:
Radio Frequency Signal based Human Silhouette Segmentation: A Sequential Diffusion Approach. CoRR abs/2407.19244 (2024) - 2023
- [j1]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9(1): 186-199 (2023) - [c7]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM 2023: 956-961 - [c6]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (Workshops) 2023: 1424-1429 - [c5]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. IJCAI 2023: 2086-2094 - [c4]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. SDM 2023: 667-675 - [i10]Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning. CoRR abs/2304.12604 (2023) - [i9]Zhiyuan Ning, Zhangxun Li, Liang Song:
Multi-scale Spatial-temporal Interaction Network for Video Anomaly Detection. CoRR abs/2306.10239 (2023) - [i8]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR abs/2309.01717 (2023) - [i7]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR abs/2309.03251 (2023) - [i6]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. CoRR abs/2310.05318 (2023) - 2022
- [i5]Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou:
Graph Soft-Contrastive Learning via Neighborhood Ranking. CoRR abs/2209.13964 (2022) - [i4]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. CoRR abs/2212.13408 (2022) - 2021
- [c3]Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). AAAI 2021: 15871-15872 - [c2]Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. PAKDD (3) 2021: 181-193 - [i3]Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou:
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding. CoRR abs/2102.10826 (2021) - [i2]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR abs/2110.07336 (2021) - 2020
- [i1]Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion. CoRR abs/2012.07011 (2020)
2010 – 2019
- 2019
- [c1]Zhiyuan Ning, Yuanzhen Lin, Ruichao Zhong:
Team Peter-Parker at SemEval-2019 Task 4: BERT-Based Method in Hyperpartisan News Detection. SemEval@NAACL-HLT 2019: 1037-1040
Coauthor Index
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last updated on 2024-11-13 23:47 CET by the dblp team
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