Shuang Ma
I am a research scientist at Apple AI/ML. My research interests center around multimodal learning, foundation models, reinforcement learning, and robotics. Recently, I have been primarily focused on developing large-scale foundational models for perception, decision making and reasoning. Before joining Apple, I was a researcher at Microsoft Research. I obtained my Ph.D. degree in Computer Science from SUNY Buffalo. I was lucky to have my advisor Prof. Chang Wen Chen and my mentors Daniel Mcduff, Yale Song, and Ashish Kapoor.
Email: yunyikristy <AT> gmail <DOT> com
Research Interests
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Foundation models
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Multimodal Learning
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Computer Vision
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Robotics and Reinforcement Learning
News
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​Our paper 'TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning' is accepted by NeurIPS 2023. [Paper]
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Our paper 'Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training' is accepted by ICCV 2023. [Paper][Code]
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I am organizing workshop "PerDream: PERception, Decision making and REAsoning through Multimodal foundational modeling" at ICCV 2023. [Website]
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I am co-organizing "Workshop on Robot Learning and SLAM" at ICCV 2023. [Website]
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I am serving as Area Chair for NeurIPS 2023.
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Our paper 'PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training' is accepted by IROS 2023. [Paper][Code]
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We announced SMART and released our code! [Blog][MSR Research Focus][Code]
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​​Our paper 'SMART: Self-supervised Multi-task pretrAining with contRol Transformers' is accepted by ICLR 2023 as notable top 25% (Spotlight).
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Our paper 'LaTTe: Language Trajectory TransformEr' is accepted by ICRA 2023. [Blog][Code]
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Our team EgoMotion-COMPASS got the 2nd place on two tasks of Ego4D challenge (ECCV 2022).
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Our paper 'COMPASS: Contrastive multimodal pretraining for autonomous systems' is accepted by IROS 2022.
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Our paper 'Reshaping robot trajectories using natural language commands: A study of multi-modal data alignment using transformers' is accepted by IROS 2022
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Our paper 'CausalCity: Complex Simulations with Agency for Causal Discovery and Reasoning' is accepted by CLeaR 2022. [Blog][Code]
Interns
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Jianchen Lei, Zhejiang University 2023
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Yao Wei, Zhejiang University 2023
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Ruijie Zheng, University of Maryland 2023
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Yanchao Sun, University of Maryland 2022
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Arthur Fender Coelho Bucker, Technical University of Munich (TUM) 2022
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Weijian Xu, UC San Diego 2021
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Cherie Ho, Carnegie Mellon University 2021
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Zhaoyang Zeng, Sun Yat-sen University 2020
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Mingzhi Yu, University of Pittsburgh 2020