Zhiyuan Ning

According to our database, Zhiyuan Ning authored at least 28 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DeepReviewer 2.0: A Traceable Agentic System for Auditable Scientific Peer Review.

Yixuan Weng, Minjun Zhu, Qiujie Xie, Zhiyuan Ning, Shichen Li, Panzhong Lu, Zhen Lin, Enhao Gu, Qiyao Sun, Yue Zhang

CoRR, April, 2026

Beyond Paper-to-Paper: Structured Profiling and Rubric Scoring for Paper-Reviewer Matching.

Yicheng Pan, Zhiyuan Ning, Ludi Wang, Yi Du

CoRR, April, 2026

AutoFigure-Edit: Generating Editable Scientific Illustration.

Zhen Lin, Qiujie Xie, Minjun Zhu, Shichen Li, Qiyao Sun, Enhao Gu, Yiran Ding, Ke Sun, Fang Guo, Panzhong Lu, Zhiyuan Ning, Yixuan Weng, Yue Zhang

CoRR, March, 2026

Deep cut-informed graph embedding and clustering.

Zhiyuan Ning, Zaitian Wang, Ran Zhang, Ping Xu, Kunpeng Liu, Pengyang Wang, Wei Ju, Pengfei Wang, Yuanchun Zhou, Erik Cambria, Chong Chen

Inf. Fusion, 2026

2025

Soft graph clustering for single-cell RNA sequencing data.

Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou

BMC Bioinform., December, 2025

Abduct, Act, Predict: Scaffolding Causal Inference for Automated Failure Attribution in Multi-Agent Systems.

Alva West, Yixuan Weng, Minjun Zhu, Zhen Lin, Zhiyuan Ning, Yue Zhang

CoRR, September, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, April, 2025

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.

Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou

ACM Trans. Knowl. Discov. Data, February, 2025

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

Yuqi Li, Qingqing Long, Yihang Zhou, Ran Zhang, Zhiyuan Ning, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

scSiameseClu: A Siamese Clustering Framework for Interpreting Single-cell RNA Sequencing Data.

Ping Xu, Zhiyuan Ning, Pengjiang Li, Wenhao Liu, Pengyang Wang, Jiaxu Cui, Yuanchun Zhou, Pengfei Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Rethinking Graph Contrastive Learning Through Relative Similarity Preservation.

Zhiyuan Ning, Pengfei Wang, Ziyue Qiao, Pengyang Wang, Yuanchun Zhou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Distilling Closed-Source LLM's Knowledge for Locally Stable and Economic Biomedical Entity Linking.

Yihao Ai, Zhiyuan Ning, Weiwei Dai, Pengfei Wang, Yi Du, Wenjuan Cui, Kunpeng Liu, Yuanchun Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning.

Hao Dong, Ziyue Qiao, Zhiyuan Ning, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Dual-channel Semi-supervised Learning Framework on Graphs via Knowledge Transfer and Meta-learning.

Ziyue Qiao, Pengyang Wang, Pengfei Wang, Zhiyuan Ning, Yanjie Fu, Yi Du, Yuanchun Zhou, Jianqiang Huang, Xian-Sheng Hua, Hui Xiong

ACM Trans. Web, May, 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou

Artif. Intell., 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.

Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding.

Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang

Proceedings of the Database Systems for Advanced Applications, 2024

2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou

IEEE Trans. Big Data, February, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.

Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning.

Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.

Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Graph Soft-Contrastive Learning via Neighborhood Ranking.

Zhiyuan Ning, Pengfei Wang, Pengyang Wang, Ziyue Qiao, Wei Fan, Denghui Zhang, Yi Du, Yuanchun Zhou

CoRR, 2022

2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

CoRR, 2021

LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding.

Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract).

Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion.

Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

CoRR, 2020