Yuyan Ni

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All published works
Action Title Year Authors
+ PDF Chat UniGEM: A Unified Approach to Generation and Property Prediction for Molecules 2024 Shikun Feng
Yuyan Ni
Yan Lü
Zhi-Ming Ma
Wei‐Ying Ma
Yanyan Lan
+ PDF Chat Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization 2024 Dingshuo Chen
Zhixun Li
Yuyan Ni
Guibin Zhang
Ding Wang
Qiang Liu
Shu Wu
Jeffrey Xu Yu
Liang Wang
+ PDF Chat Pre-training with Fractional Denoising to Enhance Molecular Property Prediction 2024 Yuyan Ni
Shikun Feng
Xin Hong
Yuancheng Sun
Wei‐Ying Ma
Zhi-Ming Ma
Qiwei Ye
Yanyan Lan
+ PDF Chat UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning 2024 Shikun Feng
Yuyan Ni
Minghao Li
Yanwen Huang
Zhi-Ming Ma
Wei‐Ying Ma
Yanyan Lan
+ PDF Chat Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion 2024 Bowen Gao
Minsi Ren
Yuyan Ni
Yanwen Huang
Bo Qiang
Zhi-Ming Ma
Wei‐Ying Ma
Yanyan Lan
+ PDF Chat Contextual Molecule Representation Learning from Chemical Reaction Knowledge 2024 Han Tang
Shikun Feng
Bicheng Lin
Yuyan Ni
JIngjing Liu
Wei‐Ying Ma
Yanyan Lan
+ Multimodal Molecular Pretraining via Modality Blending 2023 Qiying Yu
Yudi Zhang
Yuyan Ni
Shikun Feng
Yanyan Lan
Hao Zhou
Jingjing Liu
+ Fractional Denoising for 3D Molecular Pre-training 2023 Shikun Feng
Yuyan Ni
Yanyan Lan
Zhi-Ming Ma
Wei‐Ying Ma
+ Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment 2023 Bowen Gao
Yinjun Jia
Yuanle Mo
Yuyan Ni
Weiying Ma
Zhiming Ma
Yanyan Lan
+ Sliced Denoising: A Physics-Informed Molecular Pre-Training Method 2023 Yuyan Ni
Shikun Feng
Wei‐Ying Ma
Zhi-Ming Ma
Yanyan Lan
+ Elastic Information Bottleneck 2023 Yuyan Ni
Yanyan Lan
Ao Liu
Zhi-Ming Ma
+ PDF Chat Elastic Information Bottleneck 2022 Yuyan Ni
Yanyan Lan
Ao Liu
Zhi-Ming Ma
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ The information bottleneck method 2000 Naftali Tishby
Fernando C. N. Pereira
William Bialek
1
+ PDF Chat Multivariate Information Bottleneck 2006 Noam Slonim
Nir Friedman
Naftali Tishby
1
+ Deep Learning and the Information Bottleneck Principle 2015 Naftali Tishby
Noga Zaslavsky
1
+ Information-theoretic analysis of generalization capability of learning algorithms 2017 Aolin Xu
Maxim Raginsky
1
+ PDF Chat Information Dropout: Learning Optimal Representations Through Noisy Computation 2018 Alessandro Achille
Stefano Soatto
1
+ PDF Chat The Deterministic Information Bottleneck 2017 DJ Strouse
David J. Schwab
1
+ On Learning Invariant Representation for Domain Adaptation 2019 Han Zhao
Rémi Tachet des Combes
Kun Zhang
Geoffrey J. Gordon
1
+ PDF Chat The Information Bottleneck and Geometric Clustering 2018 DJ Strouse
David J. Schwab
1
+ PDF Chat Distributed Variational Representation Learning 2019 Iñaki Estella Aguerri
Abdellatif Zaidi
1
+ How Much Does Your Data Exploration Overfit? Controlling Bias via Information Usage 2019 Daniel Russo
James Zou
1
+ The Information Bottleneck Problem and its Applications in Machine Learning 2020 Ziv Goldfeld
Yury Polyanskiy
1
+ PDF Chat The Conditional Entropy Bottleneck 2020 Ian Fischer
1
+ Learning Optimal Representations with the Decodable Information Bottleneck 2020 Yann Dubois
Douwe Kiela
David J. Schwab
Ramakrishna Vedantam
1
+ InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective 2020 Boxin Wang
Shuohang Wang
Yu Cheng
Zhe Gan
Ruoxi Jia
Bo Li
Jingjing Liu
1
+ Graph Information Bottleneck 2020 Tailin Wu
Hongyu Ren
Pan Li
Jure Leskovec
1
+ PDF Chat On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views 2020 Abdellatif Zaidi
Iñaki Estella-Aguerri
Shlomo Shamai
1
+ PDF Chat Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment 2021 Jing Wang
Jiahong Chen
Jianzhe Lin
Leonid Sigal
Clarence W. de Silva
1
+ PAC-Bayes Information Bottleneck 2021 Zifeng Wang
Shao-Lun Huang
Erçan E. Kuruoğlu
Jimeng Sun
Xi Chen
Yefeng Zheng
1
+ PDF Chat Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms 2022 Milad Sefidgaran
Amin Gohari
Gaël Richard
Umut Şimşekli
1
+ Deep Variational Information Bottleneck 2016 Alexander A. Alemi
Ian Fischer
Joshua V. Dillon
Kevin Murphy
1
+ Opening the Black Box of Deep Neural Networks via Information 2017 Ravid Shwartz-Ziv
Naftali Tishby
1
+ Caveats for information bottleneck in deterministic scenarios 2018 Artemy Kolchinsky
Brendan Tracey
Steven Van Kuyk
1
+ Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning 2022 Milad Sefidgaran
Romain Chor
Abdellatif Zaidi
1