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Publication search results
found 84 matches
- 2025
- Hui Lv, Jiaxun You, Junlei Wang, Yafei Wang:
A comprehensive modeling, analysis, and optimization of two phase, non-isobaric, and non-isothermal PEM fuel cell. Comput. Chem. Eng. 192: 108881 (2025) - 2024
- Lei Zhang, Yiru Huang, Leiming Yan, Jinghao Ge, Xiaokang Ma, Zhike Liu, Jiaxue You, Alex K.-Y. Jen, Shengzhong Frank Liu:
Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design. Adv. Intell. Syst. 6(6) (2024) - Minghao Fang, Jingwen Fang, Songwen Luo, Ke Liu, Qiaoni Yu, Jiaxuan Yang, Youyang Zhou, Zongkai Li, Ruoming Sun, Chuang Guo, Kun Qu:
eccDNA-pipe: an integrated pipeline for identification, analysis and visualization of extrachromosomal circular DNA from high-throughput sequencing data. Briefings Bioinform. 25(2) (2024) - Jinyang Huang, Jia-Xuan Bai, Xiang Zhang, Zhi Liu, Yuanhao Feng, Jianchun Liu, Xiao Sun, Mianxiong Dong, Meng Li:
KeystrokeSniffer: An Off-the-Shelf Smartphone Can Eavesdrop on Your Privacy From Anywhere. IEEE Trans. Inf. Forensics Secur. 19: 6840-6855 (2024) - Ziquan Yu, Jiaxu Li, Yiwei Xu, Youmin Zhang, Bin Jiang, Chun-Yi Su:
Reinforcement Learning-Based Fractional-Order Adaptive Fault-Tolerant Formation Control of Networked Fixed-Wing UAVs With Prescribed Performance. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3365-3379 (2024) - Jiaxuan Chen, Yu Qi, Yueming Wang, Gang Pan:
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need. AAAI 2024: 11302-11310 - Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li:
Deep Reinforcement Learning for Modelling Protein Complexes. ICLR 2024 - 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 - Jiaxu Dao, Zhuoying Li, Youbang Su, Wensheng Gong:
Puer at SemEval-2024 Task 4: Fine-tuning Pre-trained Language Models for Meme Persuasion Technique Detection. SemEval@NAACL 2024: 64-69 - Jiaxuan Chen, Jieteng Yao, Li Niu:
A Single Simple Patch is All You Need for AI-generated Image Detection. CoRR abs/2402.01123 (2024) - Songjie Xie, Youlong Wu, Jiaxuan Li, Ming Ding, Khaled B. Letaief:
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy. CoRR abs/2402.10473 (2024) - Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec:
Representation Learning for Frequent Subgraph Mining. CoRR abs/2402.14367 (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 abs/2402.16819 (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 abs/2404.00242 (2024) - 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) - 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) - 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) - 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) - Jen-tse Huang, Jiaxu Zhou, Tailin Jin, Xuhui Zhou, Zixi Chen, Wenxuan Wang, Youliang Yuan, Maarten Sap, Michael R. Lyu:
On the Resilience of Multi-Agent Systems with Malicious Agents. CoRR abs/2408.00989 (2024) - 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) - 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
- Jiaxuan Zhang, Youlong Yang:
Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood. Axioms 12(5): 425 (2023) - Zhangquan Wang, Jiaxuan Huang, Kelei Miao, Xiaowen Lv, Yourong Chen, Bing Su, Liyuan Liu, Meng Han:
Lightweight zero-knowledge authentication scheme for IoT embedded devices. Comput. Networks 236: 110021 (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: 104407 (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: 505-514 (2023) - Bing Su, Jiaxuan Huang, Kelei Miao, Zhangquan Wang, Xudong Zhang, Yourong Chen:
K-Anonymity Privacy Protection Algorithm for Multi-Dimensional Data against Skewness and Similarity Attacks. Sensors 23(3): 1554 (2023) - Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng:
Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023) - Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec:
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR 2023 - Jiaxu Zhu, Weinan Tong, Yaoxun Xu, Changhe Song, Zhiyong Wu, Zhao You, Dan Su, Dong Yu, Helen Meng:
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation. INTERSPEECH 2023: 1334-1338 - Kaidi Cao, Jiaxuan You, Jure Leskovec:
Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR abs/2303.07666 (2023)
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