Liu, Xianggen

7 publications

AAAI 2024 MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

IJCAI 2022 Abstract Rule Learning for Paraphrase Generation Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou

NeurIPS 2022 Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences Wenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song

IJCAI 2021 Pairwise Half-Graph Discrimination: A Simple Graph-Level Self-Supervised Strategy for Pre-Training Graph Neural Networks Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie

ICML 2020 A Chance-Constrained Generative Framework for Sequence Optimization Xianggen Liu, Qiang Liu, Sen Song, Jian Peng

WACV 2019 AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma

IJCAI 2018 Jumper: Learning When to Make Classification Decision in Reading Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song