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2020 – today
- 2024
[j7]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: 120652 (2024)- [c12]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting. AAAI 2024: 11141-11149 - [c11]Letian Wang, Xianggen Liu, Jiancheng Lv:
Create! Don't Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation. NAACL-HLT 2024: 855-869 - [i16]Wanlin Cai, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu:
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting. CoRR abs/2401.00423 (2024) - [i15]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 abs/2405.06690 (2024) - 2023
- [j6]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): 2496-2511 (2023) - [c10]Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu:
Vector-Quantized Prompt Learning for Paraphrase Generation. EMNLP (Findings) 2023: 13389-13398 - [p1]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. Compendium of Neurosymbolic Artificial Intelligence 2023: 665-692 - [i14]Caiyang Yu, Xianggen Liu, Wentao Feng, Chenwei Tang, Jiancheng Lv:
GPT-NAS: Evolutionary Neural Architecture Search with the Generative Pre-Trained Model. CoRR abs/2305.05351 (2023) - [i13]Xiaochen Ma, Bo Du, Xianggen Liu, Ahmed Y. Al Hammadi, Jizhe Zhou:
IML-ViT: Image Manipulation Localization by Vision Transformer. CoRR abs/2307.14863 (2023) - [i12]Xianggen Liu, Zhengdong Lu, Lili Mou:
Weakly Supervised Reasoning by Neuro-Symbolic Approaches. CoRR abs/2309.13072 (2023) - [i11]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 abs/2311.11285 (2023) - [i10]Haotian Luo, Yixin Liu, Peidong Liu, Xianggen Liu:
Vector-Quantized Prompt Learning for Paraphrase Generation. CoRR abs/2311.14949 (2023) - 2022
- [c9]Xianggen Liu, Wenqiang Lei, Jiancheng Lv, Jizhe Zhou:
Abstract Rule Learning for Paraphrase Generation. IJCAI 2022: 4273-4279 - [c8]Wenbo Zhang, Likai Tang, Site Mo, Xianggen Liu, Sen Song:
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences. NeurIPS 2022 - 2021
- [j5]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) - [j4]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) - [j3]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: 310-324 (2021) - [j2]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) - [c7]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: 2694-2700 - [i9]Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song:
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition. CoRR abs/2109.09559 (2021) - [i8]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 abs/2110.01384 (2021) - [i7]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 abs/2110.13567 (2021) - 2020
- [j1]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Finding decision jumps in text classification. Neurocomputing 371: 177-187 (2020) - [c6]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312 - [c5]Xianggen Liu, Qiang Liu, Sen Song, Jian Peng:
A Chance-Constrained Generative Framework for Sequence Optimization. ICML 2020: 6271-6281 - [i6]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 abs/2008.12473 (2020)
2010 – 2019
- 2019
- [c4]Yihui He, Xianggen Liu, Huasong Zhong, Yuchun Ma:
AddressNet: Shift-Based Primitives for Efficient Convolutional Neural Networks. WACV 2019: 1213-1222 - [i5]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. CoRR abs/1909.03588 (2019) - 2018
- [c3]Zhengdong Lu, Xianggen Liu, Haotian Cui, Yukun Yan, Daqi Zheng:
Object-oriented Neural Programming (OONP) for Document Understanding. ACL (1) 2018: 2717-2726 - [c2]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Jumper: Learning When to Make Classification Decision in Reading. IJCAI 2018: 4237-4243 - [i4]Haotian Cui, Xianggen Liu, Yanhao Huang:
Deep-learning Based Modeling of Fault Detachment Stability for Power Grid. CoRR abs/1805.06657 (2018) - [i3]Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
JUMPER: Learning When to Make Classification Decisions in Reading. CoRR abs/1807.02314 (2018) - [i2]Huasong Zhong, Xianggen Liu, Yihui He, Yuchun Ma:
Shift-based Primitives for Efficient Convolutional Neural Networks. CoRR abs/1809.08458 (2018) - 2017
- [i1]Zhengdong Lu, Haotian Cui, Xianggen Liu, Yukun Yan, Daqi Zheng:
Object-oriented Neural Programming (OONP) for Document Understanding. CoRR abs/1709.08853 (2017) - 2014
- [c1]Yulin Zhang, Yang Xu, Haixiao Hu, Xianggen Liu:
Semantical Information Graph Model toward Fast Information Valuation in Large Teamwork. ECAI 2014: 1137-1138
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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