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2020 – today
- 2024
[c20]Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li:
Deep Reinforcement Learning for Modelling Protein Complexes. ICLR 2024- [c19]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases. ICML 2024 - [i29]Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec:
Representation Learning for Frequent Subgraph Mining. CoRR abs/2402.14367 (2024) - [i28]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Mostofa Patwary, Sandeep Subramanian, Dan Su, Chen Zhu, Deepak Narayanan, Aastha Jhunjhunwala, Ayush Dattagupta, Vibhu Jawa, Jiwei Liu, Ameya Mahabaleshwarkar, Osvald Nitski, Annika Brundyn, James Maki, Miguel Martinez, Jiaxuan You, John Kamalu, Patrick LeGresley, Denys Fridman, Jared Casper, Ashwath Aithal, Oleksii Kuchaiev, Mohammad Shoeybi, Jonathan M. Cohen, Bryan Catanzaro:
Nemotron-4 15B Technical Report. CoRR abs/2402.16819 (2024) - [i27]Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin:
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. CoRR abs/2404.00242 (2024) - [i26]Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li:
Deep Reinforcement Learning for Modelling Protein Complexes. CoRR abs/2405.02299 (2024) - [i25]Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You:
How Far Are We From AGI. CoRR abs/2405.10313 (2024) - [i24]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i23]Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro:
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs. CoRR abs/2407.02485 (2024) - [i22]Guanyu Lin, Tao Feng, Pengrui Han, Ge Liu, Jiaxuan You:
Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance. CoRR abs/2409.04593 (2024) - [i21]Pengrui Han, Peiyang Song, Haofei Yu, Jiaxuan You:
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models. CoRR abs/2409.15454 (2024) - 2023
- [j2]Sajjad Fouladvand, Federico Reyes Gomez
, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen:
Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning. J. Biomed. Informatics 143: 104407 (2023) - [j1]Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
SP-GNN: Learning structure and position information from graphs. Neural Networks 161: 505-514 (2023) - [c18]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - [i20]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023) - [i19]Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR abs/2303.07669 (2023) - [i18]Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec:
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR abs/2312.04615 (2023) - 2022
- [c17]Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR 2022 - [c16]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. KDD 2022: 2358-2366 - [i17]Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec:
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR abs/2203.16162 (2022) - [i16]Jiaxuan You, Tianyu Du, Jure Leskovec:
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR abs/2208.07239 (2022) - [i15]Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022) - 2021
- [b1]Jiaxuan You:
Empowering deep learning with graphs. Stanford University, USA, 2021 - [c15]Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. AAAI 2021: 10737-10745 - [c14]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN 2021: 1-8 - [i14]Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. CoRR abs/2101.10320 (2021) - 2020
- [c13]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. ICML 2020: 10881-10891 - [c12]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation for Graph Neural Networks. KDD 2020: 997-1005 - [c11]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. NeurIPS 2020 - [c10]Jiaxuan You, Zhitao Ying, Jure Leskovec:
Design Space for Graph Neural Networks. NeurIPS 2020 - [i13]Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec:
Neural Subgraph Matching. CoRR abs/2007.03092 (2020) - [i12]Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie:
Graph Structure of Neural Networks. CoRR abs/2007.06559 (2020) - [i11]Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo:
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR abs/2009.09263 (2020) - [i10]Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec:
Handling Missing Data with Graph Representation Learning. CoRR abs/2010.16418 (2020) - [i9]Jiaxuan You, Rex Ying, Jure Leskovec:
Design Space for Graph Neural Networks. CoRR abs/2011.08843 (2020)
2010 – 2019
- 2019
- [c9]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. ICML 2019: 7134-7143 - [c8]Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS 2019: 9240-9251 - [c7]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. NeurIPS 2019: 10552-10563 - [c6]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. WWW 2019: 2236-2246 - [i8]Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec:
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR abs/1903.03894 (2019) - [i7]Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec:
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. CoRR abs/1904.04381 (2019) - [i6]Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken:
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR abs/1906.03707 (2019) - [i5]Jiaxuan You, Rex Ying, Jure Leskovec:
Position-aware Graph Neural Networks. CoRR abs/1906.04817 (2019) - [i4]Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec:
G2SAT: Learning to Generate SAT Formulas. CoRR abs/1910.13445 (2019) - 2018
- [c5]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c4]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c3]Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. NeurIPS 2018: 6412-6422 - [i3]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i2]Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec:
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR abs/1806.02473 (2018) - [i1]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - 2017
- [c2]Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon:
Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data. AAAI 2017: 4559-4566 - 2016
- [c1]Jiaxuan You, Wei Guo, Yi Zhang, Jianming Hu:
An effective simulation model for multi-line metro systems based on origin-destination data. ITSC 2016: 348-353
Coauthor Index
aka: Zhitao Ying
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last updated on 2024-10-17 20:28 CEST by the dblp team
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