Xianggen Liu

Xianggen Liu

Tsinghua University

H-index: 10

Asia-China

About Xianggen Liu

Xianggen Liu, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Tsinghua University, specializes in the field of deep learning, natural language processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Deep simulated annealing for the discovery of novel dental anesthetics with local anesthesia and anti-inflammatory properties

Anesthetic drug discovery with computer-aided drug design and machine learning

Powerformer: A temporal-based transformer model for wind power forecasting

Timesql: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss

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

Vector-Quantized Prompt Learning for Paraphrase Generation

Iml-vit: Image manipulation localization by vision transformer

Gpt-nas: Neural architecture search with the generative pre-trained model

Xianggen Liu Information

University

Position

___

Citations(all)

431

Citations(since 2020)

417

Cited By

77

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

10

Email

University Profile Page

Tsinghua University

Google Scholar

View Google Scholar Profile

Xianggen Liu Skills & Research Interests

deep learning

natural language processing

Top articles of Xianggen Liu

Title

Journal

Author(s)

Publication Date

Deep simulated annealing for the discovery of novel dental anesthetics with local anesthesia and anti-inflammatory properties

Acta Pharmaceutica Sinica B

Yihang Hao

Haofan Wang

Xianggen Liu

Wenrui Gai

Shilong Hu

...

2024/2/2

Anesthetic drug discovery with computer-aided drug design and machine learning

Xianggen Liu

Zhe Xue

Mingmin Luo

Bowen Ke

Jiancheng Lv

2024/1/15

Powerformer: A temporal-based transformer model for wind power forecasting

Energy Reports

Site Mo

Haoxin Wang

Bixiong Li

Zhe Xue

Songhai Fan

...

2024/6/1

Timesql: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss

Information Sciences

Site Mo

Haoxin Wang

Bixiong Li

Songhai Fan

Yuankai Wu

...

2024/4/25

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

Proceedings of the AAAI Conference on Artificial Intelligence

Wanlin Cai

Yuxuan Liang

Xianggen Liu

Jianshuai Feng

Yuankai Wu

2024/3/24

Vector-Quantized Prompt Learning for Paraphrase Generation

arXiv preprint arXiv:2311.14949

Haotian Luo

Yixin Liu

Peidong Liu

Xianggen Liu

2023/11/25

Iml-vit: Image manipulation localization by vision transformer

arXiv preprint arXiv:2307.14863

Xiaochen Ma

Bo Du

Xianggen Liu

Ahmed Y Al Hammadi

Jizhe Zhou

2023/7/27

Gpt-nas: Neural architecture search with the generative pre-trained model

arXiv preprint arXiv:2305.05351

Caiyang Yu

Xianggen Liu

Chenwei Tang

Wentao Feng

Jiancheng Lv

2023/5/9

Weakly Supervised Reasoning by Neuro-Symbolic Approaches

Xianggen Liu

Zhengdong Lu

Lili Mou

2023

Learning robust rule representations for abstract reasoning via internal inferences

Advances in Neural Information Processing Systems

Wenbo Zhang

Site Mo

Xianggen Liu

Sen Song

2022/12/6

Contrastive learning of subject-invariant EEG representations for cross-subject emotion recognition

IEEE Transactions on Affective Computing

Xinke Shen

Xianggen Liu

Xin Hu

Dan Zhang

Sen Song

2022/4/4

TrimNet: learning molecular representation from triplet messages for biomedicine

Briefings in Bioinformatics

Pengyong Li

Yuquan Li

Chang-Yu Hsieh

Shengyu Zhang

Xianggen Liu

...

2021/7

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

...

2021

Simulated annealing for optimization of graphs and sequences

Neurocomputing

Xianggen Liu

Pengyong Li

Fandong Meng

Hao Zhou

Huasong Zhong

...

2021/11/20

Riboexp: an interpretable reinforcement learning framework for ribosome density modeling

Briefings in Bioinformatics

Hailin Hu*

Xianggen Liu*

An Xiao

YangYang Li

Chengdong Zhang

...

2021/1/22

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

PLoS computational biology

Xianggen Liu

Yunan Luo

Pengyong Li

Sen Song

Jian Peng

2021/8/4

A chance-constrained generative framework for sequence optimization

Xianggen Liu

Qiang Liu

Sen Song

Jian Peng

2020/11/21

Unsupervised Paraphrasing by Simulated Annealing

Xianggen Liu

Lili Mou

Fandong Meng

Hao Zhou

Jie Zhou

...

2020/6/16

Finding decision jumps in text classification

Neurocomputing

Xianggen Liu

Lili Mou

Haotian Cui

Zhengdong Lu

Sen Song

2020/1/2

See List of Professors in Xianggen Liu University(Tsinghua University)

Co-Authors

H-index: 61
Jian Peng

Jian Peng

University of Illinois at Urbana-Champaign

H-index: 32
Lili Mou

Lili Mou

University of Alberta

H-index: 15
Hailin Hu

Hailin Hu

Tsinghua University

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