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Chengqiang Lu
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2020 – today
- 2024
- [c7]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [i12]Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao:
Vript: A Video Is Worth Thousands of Words. CoRR abs/2406.06040 (2024) - [i11]Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song:
MoDification: Mixture of Depths Made Easy. CoRR abs/2410.14268 (2024) - 2023
- [j3]Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu:
Multi-task bioassay pre-training for protein-ligand binding affinity prediction. Briefings Bioinform. 25(1) (2023) - [i10]Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu:
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction. CoRR abs/2306.04886 (2023) - [i9]Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i8]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - 2022
- [j2]Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen:
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. 37(6): 1464-1477 (2022) - [c6]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. AAAI 2022: 9127-9135 - [c5]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. WWW 2022: 2141-2152 - [i7]Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang:
Deep Unified Representation for Heterogeneous Recommendation. CoRR abs/2201.05861 (2022) - [i6]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - 2021
- [c4]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI 2021: 3749-3755 - [c3]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee:
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. NeurIPS 2021: 15870-15882 - [i5]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen:
GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR abs/2106.02820 (2021) - [i4]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. CoRR abs/2110.00987 (2021) - [i3]Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee:
ProtGNN: Towards Self-Explaining Graph Neural Networks. CoRR abs/2112.00911 (2021) - 2020
- [j1]Yingying Ma, Youlong Wu, Chengqiang Lu:
A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory. Entropy 22(4): 416 (2020) - [c2]Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD 2020: 731-752 - [i2]Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee:
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR abs/2007.03196 (2020)
2010 – 2019
- 2019
- [c1]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI 2019: 1052-1060 - [i1]Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He:
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR abs/1906.11081 (2019)
Coauthor Index
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last updated on 2024-12-11 21:42 CET by the dblp team
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