Xianggen Liu

According to our database, Xianggen Liu authored at least 27 papers between 2014 and 2024.

Collaborative distances:

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

2024

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting.

Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Weakly Supervised Reasoning by Neuro-Symbolic Approaches.

Xianggen Liu, Zhengdong Lu, Lili Mou

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition.

Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song

IEEE Trans. Affect. Comput., 2023

TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss.

Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu

CoRR, 2023

Weakly Supervised Reasoning by Neuro-Symbolic Approaches.

Xianggen Liu, Zhengdong Lu, Lili Mou

CoRR, 2023

IML-ViT: Image Manipulation Localization by Vision Transformer.

Xiaochen Ma, Bo Du, Xianggen Liu, Ahmed Y. Al Hammadi, Jizhe Zhou

CoRR, 2023

GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model.

Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv

CoRR, 2023

Vector-Quantized Prompt Learning for Paraphrase Generation.

Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences.

Wenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Abstract Rule Learning for Paraphrase Generation.

Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Deep geometric representations for modeling effects of mutations on protein-protein binding affinity.

Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng

PLoS Comput. Biol., 2021

Simulated annealing for optimization of graphs and sequences.

Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song

Neurocomputing, 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, Seng Song, Guotong Xie

CoRR, 2021

TrimNet: learning molecular representation from triplet messages for biomedicine.

Pengyong Li, Yuquan Li, Chang-Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao

Briefings Bioinform., 2021

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling.

Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, Jianyang Zeng

Briefings Bioinform., 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

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Finding decision jumps in text classification.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

Neurocomputing, 2020

Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity.

Xianggen Liu, Yunan Luo, Sen Song, Jian Peng

CoRR, 2020

A Chance-Constrained Generative Framework for Sequence Optimization.

Xianggen Liu, Qiang Liu, Sen Song, Jian Peng

Proceedings of the 37th International Conference on Machine Learning, 2020

Unsupervised Paraphrasing by Simulated Annealing.

Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks.

Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Shift-based Primitives for Efficient Convolutional Neural Networks.

Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma

CoRR, 2018

JUMPER: Learning When to Make Classification Decisions in Reading.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

CoRR, 2018

Deep-learning Based Modeling of Fault Detachment Stability for Power Grid.

Haotian Cui, Xianggen Liu, Yanhao Huang

CoRR, 2018

Jumper: Learning When to Make Classification Decision in Reading.

Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Object-oriented Neural Programming (OONP) for Document Understanding.

Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2014

Semantical Information Graph Model toward Fast Information Valuation in Large Teamwork.

Yulin Zhang, Yang Xu, Haixiao Hu, Xianggen Liu

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014