Xianggen Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Weakly Supervised

Simulated Annealing

Document Understanding

Top Venues

Briefings Bioinform.

Publications

Letian Wang, Xianggen Liu, Jiancheng Lv
Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. NAACL-HLT (2024)
Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu
TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss. Inf. Sci. 671 (2024)
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR (2024)
Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI (2024)
Xianggen Liu, Yan Guo, Haoran Li, Jin Liu, Shudong Huang, Bowen Ke, Jiancheng Lv
DrugLLM: Open Large Language Model for Few-shot Molecule Generation. CoRR (2024)
Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu
Vector-Quantized Prompt Learning for Paraphrase Generation. CoRR (2023)
Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. IEEE Trans. Affect. Comput. 14 (3) (2023)
Xianggen Liu, Zhengdong Lu, Lili Mou
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR (2023)
Xiaochen Ma, Bo Du, Xianggen Liu, Ahmed Y. Al Hammadi, Jizhe Zhou
IML-ViT: Image Manipulation Localization by Vision Transformer. CoRR (2023)
Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu
Vector-Quantized Prompt Learning for Paraphrase Generation. EMNLP (Findings) (2023)
Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu
TimeSQL: Improving Multivariate Time Series Forecasting with Multi-Scale Patching and Smooth Quadratic Loss. CoRR (2023)
Caiyang Yu, Xianggen Liu, Chenwei Tang, Wentao Feng, Jiancheng Lv
GPT-NAS: Neural Architecture Search with the Generative Pre-Trained Model. CoRR (2023)
Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou
Abstract Rule Learning for Paraphrase Generation. IJCAI (2022)
Wenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences. NeurIPS (2022)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR (2021)
Xianggen Liu, Yunan Luo, Pengyong Li, Sen Song, Jian Peng
Deep geometric representations for modeling effects of mutations on protein-protein binding affinity. PLoS Comput. Biol. 17 (8) (2021)
Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465 (2021)
Pengyong Li, Yuquan Li, Chang-Yu Hsieh, Shengyu Zhang, Xianggen Liu, Huanxiang Liu, Sen Song, Xiaojun Yao
TrimNet: learning molecular representation from triplet messages for biomedicine. Briefings Bioinform. 22 (4) (2021)
Hailin Hu, Xianggen Liu, An Xiao, Yangyang Li, Chengdong Zhang, Tao Jiang, Dan Zhao, Sen Song, Jianyang Zeng
Riboexp: an interpretable reinforcement learning framework for ribosome density modeling. Briefings Bioinform. 22 (5) (2021)
Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song
Simulated annealing for optimization of graphs and sequences. CoRR (2021)
Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. CoRR (2021)
Xianggen Liu, Yunan Luo, Sen Song, Jian Peng
Pre-training of Graph Neural Network for Modeling Effects of Mutations on Protein-Protein Binding Affinity. CoRR (2020)
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
Unsupervised Paraphrasing by Simulated Annealing. ACL (2020)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Finding decision jumps in text classification. Neurocomputing 371 (2020)
Xianggen Liu, Qiang Liu, Sen Song, Jian Peng
A Chance-Constrained Generative Framework for Sequence Optimization. ICML (2020)
Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song
Unsupervised Paraphrasing by Simulated Annealing. CoRR (2019)
Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma
AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. WACV (2019)
Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng
Object-oriented Neural Programming (OONP) for Document Understanding. ACL (1) (2018)
Haotian Cui, Xianggen Liu, Yanhao Huang
Deep-learning Based Modeling of Fault Detachment Stability for Power Grid. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR (2018)
Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Jumper: Learning When to Make Classification Decision in Reading. IJCAI (2018)
Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma
Shift-based Primitives for Efficient Convolutional Neural Networks. CoRR (2018)
Zhengdong Lu, Haotian Cui, Xianggen Liu, Yukun Yan, Daqi Zheng
Object-oriented Neural Programming (OONP) for Document Understanding. CoRR (2017)
Yulin Zhang, Yang Xu, Haixiao Hu, Xianggen Liu
Semantical Information Graph Model toward Fast Information Valuation in Large Teamwork. ECAI (2014)