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Journal Articles
- 2024
[j1]Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke:
3D Molecular Generation via Virtual Dynamics. Trans. Mach. Learn. Res. 2024 (2024)
Conference and Workshop Papers
- 2024
- [c7]Jiale Zhao, Wanru Zhuang, Jia Song, Yaqi Li, Shuqi Lu:
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains. ICML 2024 - 2023
- [c6]Fanmeng Wang
, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang:
MPerformer: An SE(3) Transformer-based Molecular Perceptron. CIKM 2023: 2512-2522 - 2021
- [c5]Shuqi Lu, Di He, Chenyan Xiong, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. EMNLP (1) 2021: 2780-2791 - 2020
- [c4]Jiongnan Liu, Zhicheng Dou, Xiaojie Wang, Shuqi Lu, Ji-Rong Wen:
DVGAN: A Minimax Game for Search Result Diversification Combining Explicit and Implicit Features. SIGIR 2020: 479-488 - [c3]Shuqi Lu, Zhicheng Dou, Chenyan Xiong, Xiaojie Wang, Ji-Rong Wen:
Knowledge Enhanced Personalized Search. SIGIR 2020: 709-718 - 2019
- [c2]Shuqi Lu, Zhicheng Dou, Jun Xu, Jian-Yun Nie, Ji-Rong Wen:
PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. SIGIR 2019: 555-564 - 2017
- [c1]Yutao Zhu, Zhicheng Dou, Xiangbo Wang, Xiaochen Zuo, Shuqi Lu, Zhengyi Ma, Xinyu Zhang:
RUCIR at the NTCIR-13 STC-2 Task. NTCIR 2017
Informal and Other Publications
- 2024
- [i6]Qingsi Lai, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Cheng Wang, Guolin Ke:
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction. CoRR abs/2401.03862 (2024) - [i5]Jiale Zhao, Wanru Zhuang, Jia Song, Yaqi Li, Shuqi Lu:
Multi-level protein pre-training with Vabs-Net. CoRR abs/2402.01481 (2024) - 2023
- [i4]Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke:
3D Molecular Generation via Virtual Dynamics. CoRR abs/2302.05847 (2023) - [i3]Yuejiang Yu, Shuqi Lu, Zhifeng Gao, Hang Zheng, Guolin Ke:
Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? CoRR abs/2302.07134 (2023) - [i2]Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke:
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR abs/2303.16982 (2023) - 2021
- [i1]Shuqi Lu, Chenyan Xiong, Di He, Guolin Ke, Waleed Malik, Zhicheng Dou, Paul Bennett, Tie-Yan Liu, Arnold Overwijk:
Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. CoRR abs/2102.09206 (2021)
Coauthor Index
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