Yunsheng Tian

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Wojciech MatusikMITVerified email at csail.mit.edu
Pingchuan MaMITVerified email at csail.mit.edu
Jie XuResearch Scientist at NVIDIA; Previously Ph.D. Student at MITVerified email at csail.mit.edu
Shinjiro SuedaTexas A&M UniversityVerified email at tamu.edu
Mina Konaković LukovićAssistant Professor, MITVerified email at mit.edu
Karl D.D. WillisAutodesk ResearchVerified email at autodesk.com
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITVerified email at csail.mit.edu
Bo RenNankai UniversityVerified email at nankai.edu.cn
Dinesh ManochaDistinguished University Professor, University of Maryland at College ParkVerified email at umd.edu
zherong panLightspeed & Quantum Studio, Tencent AmericaVerified email at tencent.com
Jagdeep BhatiaMassachusetts Institute of TechnologyVerified email at mit.edu
Holly JacksonUniversity of California, BerkeleyVerified email at berkeley.edu
Armando Solar-LezamaMITVerified email at csail.mit.edu
Aditya SanghiUniversity Of Toronto, AutodeskVerified email at autodesk.com
Hang Chuviggle.aiVerified email at cornell.edu
Yifei LiMassachusetts Institute of TechnologyVerified email at mit.edu
Joseph G LambourneSenior Principal AI Researcher, Autodesk AI LabVerified email at autodesk.com
Linh TranMetaVerified email at meta.com
Daniele GrandiSr. Research Engineer at Autodesk ResearchVerified email at berkeley.edu
Pradeep Kumar JayaramanPrincipal Research Scientist, Autodesk ResearchVerified email at autodesk.com

Yunsheng Tian

MIT

Verified email at mit.edu - Homepage

Computer Graphics Robotics Machine Learning


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Prediction-guided multi-objective reinforcement learning for continuous robot control J Xu, Y Tian, P Ma, D Rus, S Sueda, W Matusik International conference on machine learning, 10607-10616, 2020	118	2020
Fluid directed rigid body control using deep reinforcement learning P Ma, Y Tian, Z Pan, B Ren, D Manocha ACM Transactions on Graphics (TOG) 37 (4), 1-11, 2018	81	2018
Diversity-guided multi-objective bayesian optimization with batch evaluations M Konakovic Lukovic, Y Tian, W Matusik Advances in Neural Information Processing Systems 33, 17708-17720, 2020	76	2020
Evolution gym: A large-scale benchmark for evolving soft robots J Bhatia, H Jackson, Y Tian, J Xu, W Matusik Advances in Neural Information Processing Systems 34, 2201-2214, 2021	67	2021
Joinable: Learning bottom-up assembly of parametric cad joints KDD Willis, PK Jayaraman, H Chu, Y Tian, Y Li, D Grandi, A Sanghi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	47	2022
Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020	43	2020
Assemble them all: Physics-based planning for generalizable assembly by disassembly Y Tian, J Xu, Y Li, J Luo, S Sueda, H Li, KDD Willis, W Matusik ACM Transactions on Graphics (TOG) 41 (6), 1-11, 2022	15	2022
Crest–copilot for real-world experimental scientist Z Ren, Z Zhang, Y Tian, J Li	5	2023
AutODEx: Automated Optimal Design of Experiments Platform with Data-and Time-Efficient Multi-Objective Optimization Y Tian, PV Konakovic, B Li, A Zuniga, M Foshey, T Erps, W Matusik, ... NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023	4*	2023
ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility Y Tian, KDD Willis, BA Omari, J Luo, P Ma, Y Li, F Javid, E Gu, J Jacob, ... arXiv preprint arXiv:2309.16909, 2023	1	2023
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints Y Tian, A Zuniga, X Zhang, JP Dürholt, P Das, J Chen, W Matusik, ... arXiv preprint arXiv:2402.07692, 2024		2024
Accelerated High-Entropy Alloys Discovery for Electrocatalysis via Robotic-Aided Active Learning Z Ren, Z Zhang, Y Tian, J Li NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023		2023

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