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ge yang home google scholar github blog ge yang i study robot learning and intelligence i believe simulators powered by generative ai might offer a better route toward generalist robots than real world data alone i am also building a data foundry vuer ai and developing closed loop evaluation using high fidelity digital twins via the neverwhere project i am currently a postdoc with phillip isola at mit csail and work closely with xiaolong wang at ucsd i am a recipient of the nsf iaifi postdoc fellowship and the best paper award at the conference of robot learning corl in 2023 i graduated from uchicago with a ph d in physics advised by david i schuster now at stanford and yale university with a b s in mathematics and physics joining my lab i am looking for students and full time staff with strong work ethic and problem solving ability to join my lab in two tracks genai robotic and research engineering as a member of the lab you will be working towards publications at top tier conferences and contributing code to large scale production systems and open source projects to apply please email me your transcripts cv and the duration of your availability i am currently on the faculty job market 2024 2025 cycle here is my statement a scalable recipe for robot learning from synthetic data news mar 2024 invited talk at upenn grasp lab oct 2024 invited talk at openai oct 2024 invited talk at stanford real lab jan 2024 invited talk at the california institute of technology vision seminar dec 2023 invited talk at the university of pennsylvania grasp lab seminar oct 2023 invited talk at ropem workshop iros 2023 guest lectures apr 2024 guest lecture at the boston university computer vision course mar 2024 guest lecture at the mit 9 357 current topics in perception nov 2023 guest lecture at the university of pennsylvania computer graphics nov 2023 guest lecture at the mit 6 s980 ml for inverse graphics apr 2022 guest lecture at the mit 9 357 current topics in perception research i want to give robots the visuomotor skills and decision making capabilities typically associated with humans key to this vision is finding ways to scale up learning and data my research clusters in three areas 1 learning real world visual policies from synthetic data 2 scaling up human data to enable language guided open set skill learning and 3 learning to make long term decisions highlights lucidsim learning visual parkour from generated images corl 2024 ge yang alan yu ran choi yajvan ravan john leonard phillip isola site distilled feature fields enable few shot language guided manipulation corl 2023 best paper award top 0 2 1 499 ge yang william shen alan yu jansen wong leslie kaelbling phillip isola site paper news overcoming the spectral bias of neural value approximation iclr 2022 ge yang anurag ajay pulkit agarwal site paper rapid locomotion via reinforcement learning rss 2022 ge yang gabriel margolis kartik paigwar tao chen pulkit agrawal site paper mit news wired gizmodo the verge robotics open television teleoperation with immersive active visual feedback corl 2024 xuxin cheng jialong li shiqi yang ge yang xiaolong wang site paper news expressive whole body control for humanoid robots rss 2024 xuxin cheng yandong ji junming chen ruihan yang ge yang xiaolong wang site paper neural volumetric memory for visual locomotion control cvpr 2023 highlight ruihan yang ge yang xiaolong wang site paper machine learning bilinear value networks icrl 2022 ge yang zhang wei hong pulkit agrawal site paper task informed abstractions icml 2021 ge yang xiang fu pulkit agrawal tommi jaakkola site paper learning latent landmarks for planning icml 2021 lunjun zhang ge yang bradly c stadie paper plan2vec unsupervised representation learning by latent plans l4dc 2020 ge yang amy zhang ari s morcos joelle pineau pieter abbeel roberto calandra learning plannable representations with causal infogan icml 2018 thanard kurutach aviv tamar ge yang stuart j russell pieter abbeel site paper some considerations on learning to explore via meta reinforcement learning iclr 2018 ge yang bradly c stadie rein houthooft xi chen yan duan yuhuai wu pieter abbeel ilya sutskever paper others feature splatting language driven physics based scene synthesis and editing eccv 2024 ge yang ri zhao qiu weijia zeng xiaolong wang site paper electron charge qubit with 0 1 millisecond coherence time xianjing zhou xinhao li qianfan chen gerwin koolstra ge yang brennan dizdar yizhong huang christopher s wang xu han xufeng zhang david i schuster dafei jin single electrons on solid neon as a solid state qubit platform xianjing zhou gerwin koolstra xufeng zhang ge yang xu han brennan dizdar xinhao li ralu divan wei guo kater w murch david i schuster dafei jin coupling a single electron on superfluid helium to a superconducting resonator gerwin koolstra ge yang david i schuster coupling an ensemble of electrons on superfluid helium to a superconducting circuit ge yang andreas fragner gerwin koolstra leonardo ocola david a czaplewski robert j schoelkopf david i schuster a low cost fpga based servo controller with lock in amplifier ge yang john f barry edward s shuman m h steinecker david demille measurements of quasiparticle tunneling dynamics in a band gap engineered transmon qubit luyan sun leo dicarlo md reed g catelani lev s bishop david i schuster br johnson ge yang l frunzio l glazman mh devoret rj schoelkopf open source tools here are a few out of 40 opensource packages i have published over the years in service of the community jaynes v0 5 25 enable large scale ml training across compute providers link ml logger 0 4 46 a distributed logging and visualizer for ml research link params proto v2 6 0 singleton design pattern for defining ml model parameters link commonmark x cmx v2 6 0 modern replacement of jupyter notebooks python to markdown link luna v1 6 3 a rxjs implementation of redux implemented in typescript link luna saga v6 2 1 a co routine runner for luna enables generator based async flow link