Jiaxuan You

According to our database, Jiaxuan You authored at least 65 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Sotopia-RL: Reward Design for Social Intelligence.

Haofei Yu, Zhengyang Qi, Yining Zhao, Kolby Nottingham, Keyang Xuan, Bodhisattwa Prasad Majumder, Hao Zhu, Paul Pu Liang, Jiaxuan You

CoRR, August, 2025

Fusing LLM Capabilities with Routing Data.

Tao Feng, Haozhen Zhang, Zijie Lei, Pengrui Han, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jiaxuan You

CoRR, July, 2025

Graph World Model.

Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You

CoRR, July, 2025

IRanker: Towards Ranking Foundation Model.

Tao Feng, Zhigang Hua, Zijie Lei, Yan Xie, Shuang Yang, Bo Long, Jiaxuan You

CoRR, June, 2025

Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning.

Haozhen Zhang, Tao Feng, Jiaxuan You

CoRR, June, 2025

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents.

Kunlun Zhu, Jiaxun Zhang, Ziheng Qi, Nuoxing Shang, Zijia Liu, Peixuan Han, Yu Su, Haofei Yu, Jiaxuan You

CoRR, May, 2025

ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind.

Peixuan Han, Zijia Liu, Jiaxuan You

CoRR, May, 2025

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs.

Zijia Liu, Peixuan Han, Haofei Yu, Haoru Li, Jiaxuan You

CoRR, May, 2025

Must Read: A Systematic Survey of Computational Persuasion.

Nimet Beyza Bozdag, Shuhaib Mehri, Xiaocheng Yang, Hyeonjeong Ha, Zirui Cheng, Esin Durmus, Jiaxuan You, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür

CoRR, May, 2025

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models.

Aaron Blakeman, Aarti Basant, Abhinav Khattar, Adithya Renduchintala, Akhiad Bercovich, Aleksander Ficek, Alexis Bjorlin, Ali Taghibakhshi, Amala Sanjay Deshmukh, Ameya Sunil Mahabaleshwarkar, Andrew Tao, Anna Shors, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl

CoRR, April, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents.

Kunlun Zhu, Hongyi Du, Zhaochen Hong, Xiaocheng Yang, Shuyi Guo, Zhe Wang, Zhenhailong Wang, Cheng Qian, Xiangru Tang, Heng Ji, Jiaxuan You

CoRR, March, 2025

Unified Semantic and ID Representation Learning for Deep Recommenders.

Guanyu Lin, Zhigang Hua, Tao Feng, Shuang Yang, Bo Long, Jiaxuan You

CoRR, February, 2025

Table as Thought: Exploring Structured Thoughts in LLM Reasoning.

Zhenjie Sun, Naihao Deng, Haofei Yu, Jiaxuan You

CoRR, January, 2025

DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference.

Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GraphRouter: A Graph-based Router for LLM Selections.

Tao Feng, Yanzhen Shen, Jiaxuan You

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation.

Tao Feng, Yihang Sun, Jiaxuan You

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MultiAgentBench : Evaluating the Collaboration and Competition of LLM agents.

Kunlun Zhu, Hongyi Du, Zhaochen Hong, Xiaocheng Yang, Shuyi Guo, Zhe Wang, Zhenhailong Wang, Cheng Qian, Robert Tang, Heng Ji, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs.

Haozhen Zhang, Tao Feng, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities.

Zhaochen Hong, Haofei Yu, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Beyond Facts: Evaluating Intent Hallucination in Large Language Models.

Yijie Hao, Haofei Yu, Jiaxuan You

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

How Far Are We From AGI: Are LLMs All We Need?

Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You

Trans. Mach. Learn. Res., 2024

PyG-SSL: A Graph Self-Supervised Learning Toolkit.

Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He

CoRR, 2024

ResearchTown: Simulator of Human Research Community.

Haofei Yu, Zhaochen Hong, Zirui Cheng, Kunlun Zhu, Keyang Xuan, Jinwei Yao, Tao Feng, Jiaxuan You

CoRR, 2024

Real-World Benchmarks Make Membership Inference Attacks Fail on Diffusion Models.

Chumeng Liang, Jiaxuan You

CoRR, 2024

Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance.

Guanyu Lin, Tao Feng, Pengrui Han, Ge Liu, Jiaxuan You

CoRR, 2024

Nemotron-4 340B Technical Report.

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

CoRR, 2024

How Far Are We From AGI.

Tao Feng, Chuanyang Jin, Jingyu Liu, Kunlun Zhu, Haoqin Tu, Zirui Cheng, Guanyu Lin, Jiaxuan You

CoRR, 2024

DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference.

Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

CoRR, 2024

Nemotron-4 15B Technical Report.

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

CoRR, 2024

Representation Learning for Frequent Subgraph Mining.

Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec

CoRR, 2024

RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

InstructG2I: Synthesizing Images from Multimodal Attributed Graphs.

Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.

Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Deep Reinforcement Learning for Modelling Protein Complexes.

Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks.

Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language Models.

Pengrui Han, Peiyang Song, Haofei Yu, Jiaxuan You

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

SP-GNN: Learning structure and position information from graphs.

Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu

Neural Networks, April, 2023

Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning.

Sajjad Fouladvand, Federico Reyes Gomez, Hamed Nilforoshan, Matthew Schwede, Morteza Noshad, Olivia Jee, Jiaxuan You, Rok Sosic, Jure Leskovec, Jonathan H. Chen

J. Biomed. Informatics, 2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.

Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec

CoRR, 2023

AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks.

Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Efficient Automatic Machine Learning via Design Graphs.

Shirley Wu, Jiaxuan You, Jure Leskovec, Rex Ying

CoRR, 2022

AdaGrid: Adaptive Grid Search for Link Prediction Training Objective.

Tim Postuvan, Jiaxuan You, Mohammadreza Banaei, Rémi Lebret, Jure Leskovec

CoRR, 2022

ROLAND: Graph Learning Framework for Dynamic Graphs.

Jiaxuan You, Tianyu Du, Jure Leskovec

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Relational Multi-Task Learning: Modeling Relations between Data and Tasks.

Kaidi Cao, Jiaxuan You, Jure Leskovec

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Empowering deep learning with graphs.

Jiaxuan You

PhD thesis, 2021

Inductive Learning on Commonsense Knowledge Graph Completion.

Bin Wang, Guangtao Wang, Jing Huang, Jiaxuan You, Jure Leskovec, C.-C. Jay Kuo

Proceedings of the International Joint Conference on Neural Networks, 2021

Identity-aware Graph Neural Networks.

Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Subgraph Matching.

Rex Ying, Zhaoyu Lou, Jiaxuan You, Chengtao Wen, Arquimedes Canedo, Jure Leskovec

CoRR, 2020

Design Space for Graph Neural Networks.

Jiaxuan You, Zhitao Ying, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Handling Missing Data with Graph Representation Learning.

Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel J. Kochenderfer, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Redundancy-Free Computation for Graph Neural Networks.

Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Structure of Neural Networks.

Jiaxuan You, Jure Leskovec, Kaiming He, Saining Xie

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Redundancy-Free Computation Graphs for Graph Neural Networks.

Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken

CoRR, 2019

GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks.

Rex Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec

CoRR, 2019

Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.

Jiaxuan You, Yichen Wang, Aditya Pal, Pong Eksombatchai, Chuck Rosenberg, Jure Leskovec

Proceedings of the World Wide Web Conference, 2019

G2SAT: Learning to Generate SAT Formulas.

Jiaxuan You, Haoze Wu, Clark W. Barrett, Raghuram Ramanujan, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

GNNExplainer: Generating Explanations for Graph Neural Networks.

Zhitao Ying, Dylan Bourgeois, Jiaxuan You, Marinka Zitnik, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Position-aware Graph Neural Networks.

Jiaxuan You, Rex Ying, Jure Leskovec

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

GraphRNN: A Deep Generative Model for Graphs.

Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec

CoRR, 2018

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation.

Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay S. Pande, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hierarchical Graph Representation Learning with Differentiable Pooling.

Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models.

Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data.

Jiaxuan You, Xiaocheng Li, Melvin Low, David B. Lobell, Stefano Ermon

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

An effective simulation model for multi-line metro systems based on origin-destination data.

Jiaxuan You, Wei Guo, Yi Zhang, Jianming Hu

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016