Jiaxuan You

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

Top Topics

Protein Complexes

Graph Representation

Commonsense Knowledge

Top Venues

Publications

Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You
How Far Are We From AGI. CoRR (2024)
Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec
Representation Learning for Frequent Subgraph Mining. CoRR (2024)
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 (2024)
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 (2024)
Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
Deep Reinforcement Learning for Modelling Protein Complexes. ICLR (2024)
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 (2024)
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 (2024)
Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
Deep Reinforcement Learning for Modelling Protein Complexes. CoRR (2024)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR (2023)
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 (2023)
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 (2023)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR (2023)
Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR (2023)
Zizhao Zhang, Yi Yang, Lutong Zou, He Wen, Tao Feng, Jiaxuan You
RDBench: ML Benchmark for Relational Databases. CoRR (2023)
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 (2023)
Kaidi Cao, Jiaxuan You, Jure Leskovec
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR (2022)
Jiaxuan You, Tianyu Du, Jure Leskovec
ROLAND: Graph Learning Framework for Dynamic Graphs. CoRR (2022)
Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective. CoRR (2022)
Jiaxuan You, Tianyu Du, Jure Leskovec
ROLAND: Graph Learning Framework for Dynamic Graphs. KDD (2022)
Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying
Efficient Automatic Machine Learning via Design Graphs. CoRR (2022)
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
Inductive Learning on Commonsense Knowledge Graph Completion. IJCNN (2021)
Jiaxuan You, Jonathan Gomes-Selman, Rex Ying, Jure Leskovec
Identity-aware Graph Neural Networks. CoRR (2021)
Jiaxuan You, Jonathan M. Gomes-Selman, Rex Ying, Jure Leskovec
Identity-aware Graph Neural Networks. AAAI (2021)
Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec
Neural Subgraph Matching. CoRR (2020)
Jiaxuan You, Rex Ying, Jure Leskovec
Design Space for Graph Neural Networks. CoRR (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. CoRR (2020)
Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo
Inductive Learning on Commonsense Knowledge Graph Completion. CoRR (2020)
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
Handling Missing Data with Graph Representation Learning. CoRR (2020)
Jiaxuan You, Zhitao Ying, Jure Leskovec
Design Space for Graph Neural Networks. NeurIPS (2020)
Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
Redundancy-Free Computation for Graph Neural Networks. KDD (2020)
Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie
Graph Structure of Neural Networks. ICML (2020)
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec
Handling Missing Data with Graph Representation Learning. NeurIPS (2020)
Jiaxuan You, Rex Ying, Jure Leskovec
Position-aware Graph Neural Networks. ICML (2019)
Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec
G2SAT: Learning to Generate SAT Formulas. CoRR (2019)
Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks. CoRR (2019)
Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec
GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS (2019)
Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. CoRR (2019)
Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec
G2SAT: Learning to Generate SAT Formulas. NeurIPS (2019)
Jiaxuan You, Rex Ying, Jure Leskovec
Position-aware Graph Neural Networks. CoRR (2019)
Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. WWW (2019)
Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR (2019)
Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR (2018)
Jiaxuan You, Bowen Liu, Rex Ying, Vijay S. Pande, Jure Leskovec
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. CoRR (2018)
Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation. NeurIPS (2018)
Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS (2018)
Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
GraphRNN: A Deep Generative Model for Graphs. CoRR (2018)
Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML (2018)
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)
Jiaxuan You, Wei Guo, Yi Zhang, Jianming Hu
An effective simulation model for multi-line metro systems based on origin-destination data. ITSC (2016)