Jingxiao Teng Github Github is where jingxiao teng builds software. I completed my phd at pennsylvania state university, where i am advised by prof. vasant honavar. i am interested in machine learning, reinforcement learning, language models. i am currently working on: (i) ai for scientific discovery; (ii) alignment and reasoning for llm agents. my work is regularly published at icml, iclr, and neurips.
Peter Teng Github @allenai . tengxiao1 has 22 repositories available. follow their code on github. Tj2013 has 101 repositories available. follow their code on github. Powered by jekyll with al folio theme. a simple, whitespace theme for academics. based on [*folio] ( github bogoli folio) design. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse.
Jingxiao Zheng Jingxiao Zheng Powered by jekyll with al folio theme. a simple, whitespace theme for academics. based on [*folio] ( github bogoli folio) design. Contact github support about this user’s behavior. learn more about reporting abuse. report abuse. Xiao teng has 3 repositories available. follow their code on github. A growing collection of your cool projects. low precision training of deep neural network an int8 quantized training framework built upon the forward forward algorithm, enabling efficient and memory light deep learning training on resource constrained edge devices. I am a ph.d. candidate at shanghai jiao tong university. my research topics are reinforcement learning and human robot interaction. snake game rl environment for ubiquant competition 2022. a graph representing timerchen's contributions from march 30, 2025 to april 03, 2026. My advisor is prof. rama chellappa. my research interests include deep learning, face recognition, video analysis, action recognition and dictionary learning. i worked as a research intern at siemens healthineers in summer 2017, advised by dr. s. kevin zhou.
Jinxin Xiao teng has 3 repositories available. follow their code on github. A growing collection of your cool projects. low precision training of deep neural network an int8 quantized training framework built upon the forward forward algorithm, enabling efficient and memory light deep learning training on resource constrained edge devices. I am a ph.d. candidate at shanghai jiao tong university. my research topics are reinforcement learning and human robot interaction. snake game rl environment for ubiquant competition 2022. a graph representing timerchen's contributions from march 30, 2025 to april 03, 2026. My advisor is prof. rama chellappa. my research interests include deep learning, face recognition, video analysis, action recognition and dictionary learning. i worked as a research intern at siemens healthineers in summer 2017, advised by dr. s. kevin zhou.
Teng Sebastian Jiang I am a ph.d. candidate at shanghai jiao tong university. my research topics are reinforcement learning and human robot interaction. snake game rl environment for ubiquant competition 2022. a graph representing timerchen's contributions from march 30, 2025 to april 03, 2026. My advisor is prof. rama chellappa. my research interests include deep learning, face recognition, video analysis, action recognition and dictionary learning. i worked as a research intern at siemens healthineers in summer 2017, advised by dr. s. kevin zhou.
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