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Pei Zhang

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Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning

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May 22, 2024
Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang

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One-Step Late Fusion Multi-view Clustering with Compressed Subspace

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Jan 03, 2024
Qiyuan Ou, Pei Zhang, Sihang Zhou, En Zhu

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A Neuro-Inspired Hierarchical Reinforcement Learning for Motor Control

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Nov 14, 2023
Pei Zhang, Zhaobo Hua, Jinliang Ding

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Transferring a molecular foundation model for polymer property predictions

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Oct 25, 2023
Pei Zhang, Logan Kearney, Debsindhu Bhowmik, Zachary Fox, Amit K. Naskar, John Gounley

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DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

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Oct 11, 2023
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi Hanson, Thomas E Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin Aji, Angela Dalton, Michael Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

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Anchor-based Multi-view Subspace Clustering with Hierarchical Feature Descent

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Oct 11, 2023
Qiyuan Ou, Siwei Wang, Pei Zhang, Sihang Zhou, En Zhu

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Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning

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Oct 01, 2023
Jingcan Duan, Pei Zhang, Siwei Wang, Jingtao Hu, Hu Jin, Jiaxin Zhang, Haifang Zhou, Xinwang Liu

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Neuromorphic Imaging with Joint Image Deblurring and Event Denoising

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Sep 28, 2023
Pei Zhang, Haosen Liu, Zhou Ge, Chutian Wang, Edmund Y. Lam

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Neuromorphic Imaging and Classification with Graph Learning

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Sep 27, 2023
Pei Zhang, Chutian Wang, Edmund Y. Lam

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Efficient Multi-View Graph Clustering with Local and Global Structure Preservation

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Aug 31, 2023
Yi Wen, Suyuan Liu, Xinhang Wan, Siwei Wang, Ke Liang, Xinwang Liu, Xihong Yang, Pei Zhang

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