2026
Multi-Scale Spatio-Temporal Transformers with Prompt Learning for Traffic Prediction
Ruibin Zeng, Lingfeng Niu, Minglong Lei#, Yu-Hong Dai (# corresponding author)
IEEE Transactions on Vehicular Technology (IEEE TVT) 2026
FlightGen: Controllable Flight Trajectory Generation with Physics-Constrained Diffusion
Aiwei Zhang, Mengfan Li, Di Yao, Yi Lin, Zipei Fan, Minglong Lei, Yaqiong Liu, Shuai Ma, Jingping Bi
The 32nd SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2026)
Progressive Graph Structure Adjustment for Homophily Shift Adaptation
Hongwei Wen, Can Zhang, Haoyu He, Hanyuan Hang, Minglong Lei# (# corresponding author)
The 43rd International Conference on Machine Learning (ICML 2026, Spotlight)
Subgraph Neural Networks with Multi-Scale Contrastive Learning for Graph Classification
Minglong Lei, Can Zhang, Hao Jia, Junzhong Ji
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI) 2026
Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive Evaluation
Shuo Wang, Qing Zhu, Yang Xiao, Minglong Lei
The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026, Findings)
A Universal Framework for Vehicle Routing Problems with Large Language Models
Rui-Bin Zeng*, Mo-Xuan Yang*, Ming-Long Lei*, Ling-Feng Niu, Yu-Hong Dai (* equal contribution)
Journal of the Operations Research Society of China (中国运筹学会会刊英文版) 2026
2025
MuDiS-GDA: Multiscale Discriminative Graph Domain Adaptation
Can Zhang, Minglong Lei# (# corresponding author)
Neural Networks 2025
Graph Transformer with High-Degree Nodes Anchoring for Graph Partitioning
Zhengxi Yang, Lingfeng Niu, Minglong Lei# (# corresponding author)
Neural Networks 2025
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei# (# corresponding author)
The 39th AAAI Conference on Artificial Intelligence (AAAI 2025)
2024
Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting
Jing He, Junzhong Ji, Minglong Lei# (# corresponding author)
The 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024)
Decomposed Latent Diffusion Model for 3D Point Cloud Generation
Runfeng Zhao, Junzhong Ji, Minglong Lei# (# corresponding author)
The 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2024)
Latent Diffusion Transformer for Point Cloud Generation
Junzhong Ji, Runfeng Zhao, Minglong Lei# (# corresponding author)
The Visual Computer 2024
Spatio-Temporal Transformer Network for Weather Forecasting
Junzhong Ji, Jing He, Minglong Lei#, Muhua Wang, Wei Tang (# corresponding author)
IEEE Transactions on Big Data (IEEE TBD) 2024
2023
A unified pre-training and adaptation framework for combinatorial optimization on graphs
Ruibin Zeng*, Minglong Lei*, Lingfeng Niu*, Lan Cheng (* equal contribution)
Science China Mathematics (中国科学:数学英文版) 2023
Two-level adversarial attacks for graph neural networks
Chengxi Song, Lingfeng Niu, Minglong Lei# (# corresponding author)
Information Sciences 2023
Supervised Contrastive Learning With Structure Inference for Graph Classification
Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei# (# corresponding author)
IEEE Transactions on Network Science and Engineering (IEEE TNSE) 2023
2022
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models
Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) 2022
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction
Junzhong Ji, Fan Yu, Minglong Lei# (# corresponding author)
IEEE Transactions on Intelligent Transportation Systems (IEEE TITS) 2022
Self-supervised knowledge distillation for complementary label learning
Jiabin Liu, Biao Li#, Minglong Lei#, Yong Shi (# corresponding author)
Neural Networks 2022
FC–HAT: Hypergraph attention network for functional brain network classification
Junzhong Ji, Yating Ren, Minglong Lei# (# corresponding author)
Information Sciences 2022
Graph Influence Network
Yong Shi, Pei Quan, Yang Xiao, Minglong Lei, Lingfeng Niu
IEEE Transactions on Cybernetics (IEEE TCYB) 2022
2021
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation
Junzhong Ji, Ye Liang, Minglong Lei# (# corresponding author)
Neural Networks 2021
2020
DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation
Minglong Lei, Pei Quan, Rongrong Ma, Yong Shi, Lingfeng Niu
IEEE Transactions on Cybernetics (IEEE TCYB) 2020
Discrete embedding for latent networks
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
The 29th International Conference on International Joint Conferences on Artificial Intelligence (IJCAI 2020)
2019
Diffusion network embedding
Yong Shi, Minglong Lei, Hong Yang, Lingfeng Niu
Pattern Recognition (PR) 2019