Liang Zeng

According to our database, Liang Zeng authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations.

Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King

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

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling.

Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang, Jian Li

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

2023

MolKD: Distilling Cross-Modal Knowledge in Chemical Reactions for Molecular Property Prediction.

Liang Zeng, Lanqing Li, Jian Li

CoRR, 2023

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks.

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Bingbing Xu, Liang Zeng, Chenxing Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange.

Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation.

Lei Wang, Liang Zeng, Jian Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification.

Liang Zeng, Lanqing Li, Ziqi Gao, Peilin Zhao, Jian Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.

Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng

CoRR, 2022

Context-Aware Sparse Deep Coordination Graphs.

Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

STformer: A Noise-Aware Efficient Spatio-Temporal Transformer Architecture for Traffic Forecasting.

Yanjun Qin, Yuchen Fang, Haiyong Luo, Liang Zeng, Fang Zhao, Chenxing Wang

CoRR, 2021

CDGNet: A Cross-Time Dynamic Graph-based Deep Learning Model for Traffic Forecasting.

Yuchen Fang, Yanjun Qin, Haiyong Luo, Fang Zhao, Liang Zeng, Bo Hui, Chenxing Wang

CoRR, 2021

Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling.

Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang

CoRR, 2021

Graph Symbiosis Learning.

Liang Zeng, Jin Xu, Zijun Yao, Yanqiao Zhu, Jian Li

CoRR, 2021

Inductive Matrix Completion Using Graph Autoencoder.

Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021