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Causal conditional hidden Markov model for multimodal traffic prediction


Jan 19, 2023
Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang

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* 8 pages, 5 figures 

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Spatio-temporal neural structural causal models for bike flow prediction


Jan 19, 2023
Pan Deng, Yu Zhao, Junting Liu, Xiaofeng Jia, Mulan Wang

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* 8 pages, 4 figures 

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Channel Self-Supervision for Online Knowledge Distillation


Mar 23, 2022
Shixiao Fan, Xuan Cheng, Xiaomin Wang, Chun Yang, Pan Deng, Minghui Liu, Jiali Deng, Ming Liu

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Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model


Oct 29, 2021
Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

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Assessing Attendance by Peer Information


Jun 06, 2021
Pan Deng, Jianjun Zhou, Jing Lyu, Zitong Zhao

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MLPerf Inference Benchmark


Nov 06, 2019
Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou

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