Guolin Ke

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 47

Top Topics

Decomposition Algorithm

Highly Accurate

Top Venues

Publications

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. CoRR (2024)
Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. CoRR (2024)
Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E
Uni-Mol2: Exploring Molecular Pretraining Model at Scale. CoRR (2024)
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 (2024)
Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. CoRR (2024)
Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
3D Molecular Generation via Virtual Dynamics. Trans. Mach. Learn. Res. 2024 (2024)
Yuejiang Yu, Shuqi Lu, Zhifeng Gao, Hang Zheng, Guolin Ke
Do Deep Learning Models Really Outperform Traditional Approaches in Molecular Docking? CoRR (2023)
Lin Yao, Ruihan Xu, Zhifeng Gao, Guolin Ke, Yuhang Wang
Boosted ab initio Cryo-EM 3D Reconstruction with ACE-EM. CoRR (2023)
Gengmo Zhou, Zhifeng Gao, Zhewei Wei, Hang Zheng, Guolin Ke
Do Deep Learning Methods Really Perform Better in Molecular Conformation Generation? CoRR (2023)
Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng, Hongteng Xu, Zhewei Wei, Linfeng Zhang, Guolin Ke
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR (2023)
Shuqi Lu, Lin Yao, Xi Chen, Hang Zheng, Di He, Guolin Ke
3D Molecular Generation via Virtual Dynamics. CoRR (2023)
Lin Yao, Zhen Wang, Wentao Guo, Shang Xiang, Wentan Liu, Guolin Ke
Node-Aligned Graph-to-Graph Generation for Retrosynthesis Prediction. CoRR (2023)
Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction. CoRR (2023)
Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR (2023)
Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
Quantized Training of Gradient Boosting Decision Trees. NeurIPS (2022)
Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR (2022)
Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
Quantized Training of Gradient Boosting Decision Trees. CoRR (2022)
Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR (2022)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
How could Neural Networks understand Programs? ICML (2021)
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Do Transformers Really Perform Badly for Graph Representation? NeurIPS (2021)
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Do Transformers Really Perform Bad for Graph Representation? CoRR (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. NeurIPS (2021)
Chengxuan Ying, Guolin Ke, Di He, Tie-Yan Liu
LazyFormer: Self Attention with Lazy Update. CoRR (2021)
Shengjie Luo, Shanda Li, Tianle Cai, Di He, Dinglan Peng, Shuxin Zheng, Guolin Ke, Liwei Wang, Tie-Yan Liu
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding. CoRR (2021)
Alex Lamb, Di He, Anirudh Goyal, Guolin Ke, Chien-Feng Liao, Mirco Ravanelli, Yoshua Bengio
Transformers with Competitive Ensembles of Independent Mechanisms. CoRR (2021)
Guolin Ke, Di He, Tie-Yan Liu
Rethinking Positional Encoding in Language Pre-training. ICLR (2021)
Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
Taking Notes on the Fly Helps Language Pre-Training. ICLR (2021)
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 (2021)
Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) (2021)
Dinglan Peng, Shuxin Zheng, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
How could Neural Networks understand Programs? CoRR (2021)
Shengjie Luo, Kaiyuan Gao, Shuxin Zheng, Guolin Ke, Di He, Liwei Wang, Tie-Yan Liu
Revisiting Language Encoding in Learning Multilingual Representations. CoRR (2021)
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)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
Deep Subdomain Adaptation Network for Image Classification. CoRR (2021)
Chengxuan Ying, Mingqi Yang, Shuxin Zheng, Guolin Ke, Shengjie Luo, Tianle Cai, Chenglin Wu, Yuxin Wang, Yanming Shen, Di He
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track. CoRR (2021)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. CoRR (2020)
Zhenhui Xu, Linyuan Gong, Guolin Ke, Di He, Shuxin Zheng, Liwei Wang, Jiang Bian, Tie-Yan Liu
MC-BERT: Efficient Language Pre-Training via a Meta Controller. CoRR (2020)
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
Light Multi-Segment Activation for Model Compression. AAAI (2020)
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu
Invertible Image Rescaling. ECCV (1) (2020)
Qiyu Wu, Chen Xing, Yatao Li, Guolin Ke, Di He, Tie-Yan Liu
Taking Notes on the Fly Helps BERT Pre-training. CoRR (2020)
Guolin Ke, Di He, Tie-Yan Liu
Rethinking Positional Encoding in Language Pre-training. CoRR (2020)
Zhenhui Xu, Guolin Ke, Jia Zhang, Jiang Bian, Tie-Yan Liu
Light Multi-segment Activation for Model Compression. CoRR (2019)
Ziyu Liu, Guolin Ke, Jiang Bian, Tie-Yan Liu
LightMC: A Dynamic and Efficient Multiclass Decomposition Algorithm. CoRR (2019)
Guolin Ke, Zhenhui Xu, Jia Zhang, Jiang Bian, Tie-Yan Liu
DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks. KDD (2019)
Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, Tie-Yan Liu
LightGBM: A Highly Efficient Gradient Boosting Decision Tree. NIPS (2017)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. CoRR (2016)
Qi Meng, Guolin Ke, Taifeng Wang, Wei Chen, Qiwei Ye, Zhiming Ma, Tie-Yan Liu
A Communication-Efficient Parallel Algorithm for Decision Tree. NIPS (2016)