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Unified Vision and Language Prompt Learning


Oct 13, 2022
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy


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COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning


Oct 11, 2022
Yifan Zhang, Chen Huang, Yueke Zhang, Kevin Cao, Scott Thomas Andersen, Huajie Shao, Kevin Leach, Yu Huang


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A Weighted Random Forest Based PositioningAlgorithm for 6G Indoor Communications


Aug 22, 2022
Yang Wu, Yinghua Wang, Jie Huang, Cheng-Xiang Wang, Chen Huang

* 6 pages, 6 figures, conference 

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Position Prediction as an Effective Pretraining Strategy


Jul 15, 2022
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua Susskind

* Accepted to ICML 2022 

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Efficient Representation Learning via Adaptive Context Pooling


Jul 05, 2022
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh Susskind

* ICML 2022 

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An Empirical Study of Language Model Integration for Transducer based Speech Recognition


Mar 31, 2022
Huahuan Zheng, Keyu An, Zhijian Ou, Chen Huang, Ke Ding, Guanglu Wan

* submitted to INTERSPEECH 2022 

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Open-Vocabulary DETR with Conditional Matching


Mar 22, 2022
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy


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Artificial intelligence enabled radio propagation for communications-Part II: Scenario identification and channel modeling


Nov 24, 2021
Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong


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Artificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization


Nov 24, 2021
Chen Huang, Ruisi He, Bo Ai, Andreas F. Molisch, Buon Kiong Lau, Katsuyuki Haneda, Bo Liu, Cheng-Xiang Wang, Mi Yang, Claude Oestges, Zhangdui Zhong


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A Geometry-Based Stochastic Model for Truck Communication Channels in Freeway Scenarios


Oct 25, 2021
Chen Huang, Rui Wang, Cheng-Xiang Wang, Pan Tang, Andreas F. Molisch

* We have found some critical mistakes for the parameter estimation procedure in Section III, which requring further modifications and corrections. Hence, we have to send this withdrawal requirements 

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