Jingzhe Liu

23 papers A* 2A 1B 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond crown volume: UAV-LiDAR-derived foliated crown volume (FCV) enhances coniferous tree attribute estimation.
Comput. Electron. Agric.
Shoumin Cheng, Yuanshuo Hao, Jingzhe Liu, Xin Liu, Lihu Dong, Yinghui Zhao, Fengri Li
2026 A* conf
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation.
AAAI
Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026 J jnl
Robust simultaneous multislice MRI reconstruction using slice-wise learned generative diffusion priors.
Medical Image Anal.
Shoujin Huang, Guanxiong Luo, Yunlin Zhao, Yilong Liu, Yuwan Wang, Kexin Yang, Jingzhe Liu, Hua Guo, Min Wang, Lingyan Zhang, Mengye Lyu
2025 — conf
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.
KDD (2)
Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.
CoRR
Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
An Unsupervised Learning Approach for Reconstructing 3T-Like Images From 0.3T MRI Without Paired Training Data.
IEEE Trans. Medical Imaging
Huaishui Yang, Shaojun Liu, Yilong Liu, Lingyan Zhang, Shoujin Huang, Jiayu Zheng, Jingzhe Liu, Hua Guo, Ed X. Wu, Mengye Lyu
2025 A conf
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.
CIKM
Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.
CoRR
Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
Higher-order Structure Boosts Link Prediction on Temporal Graphs.
CoRR
Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang
2025 J jnl
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View.
CoRR
Jingzhe Liu, Liam Collins, Jiliang Tang, Tong Zhao, Neil Shah, Clark Mingxuan Ju
2025 — conf
Unveiling Mode Connectivity in Graph Neural Network.
KDD (2)
Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025 J jnl
Unveiling Mode Connectivity in Graph Neural Networks.
CoRR
Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2024 — conf
A Pure Transformer Pretraining Framework on Text-Attributed Graphs.
LoG
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024 J jnl
A Pure Transformer Pretraining Framework on Text-attributed Graphs.
CoRR
Yu Song, Haitao Mao, Jiachen Xiao, Jingzhe Liu, Zhikai Chen, Wei Jin, Carl Yang, Jiliang Tang, Hui Liu
2024 — conf
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
LoG
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024 J jnl
Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
CoRR
Qian Ma, Haitao Mao, Jingzhe Liu, Zhehua Zhang, Chunlin Feng, Yu Song, Yihan Shao, Yao Ma
2024 J jnl
Neural Scaling Laws on Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR
Jingzhe Liu, Haitao Mao, Zhikai Chen, Wenqi Fan, Mingxuan Ju, Tong Zhao, Neil Shah, Jiliang Tang
2024 J jnl
Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors.
CoRR
Shoujin Huang, Guanxiong Luo, Yuwan Wang, Kexin Yang, Lingyan Zhang, Jingzhe Liu, Hua Guo, Min Wang, Mengye Lyu
2024 A* conf
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
NeurIPS
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 J jnl
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
CoRR
Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
2024 — conf
Towards Neural Scaling Laws on Graphs.
LoG
Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang
2022 B conf
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition.
IEEE Big Data
Jingzhe Liu, Peng Wu