Yunsheng Tian

According to our database, Yunsheng Tian authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Modified salp swarm algorithm based on competition mechanism and variable shifted windows for feature selection.

Hongbo Zhang, Xiwen Qin, Xueliang Gao, Siqi Zhang, Yunsheng Tian, Wei Zhang

Soft Comput., October, 2024

An improved cuckoo search algorithm for global optimization.

Yunsheng Tian, Dan Zhang, Hongbo Zhang, Juan Zhu, Xiaofeng Yue

Clust. Comput., September, 2024

Improved salp swarm algorithm based on Newton interpolation and cosine opposition-based learning for feature selection.

Hongbo Zhang, Xiwen Qin, Xueliang Gao, Siqi Zhang, Yunsheng Tian, Wei Zhang

Math. Comput. Simul., 2024

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints.

Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic-Lukovic

CoRR, 2024

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility.

Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints.

Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Coarse-Fine Registration of Point Cloud Based on New Improved Whale Optimization Algorithm and Iterative Closest Point Algorithm.

Yunsheng Tian, Xiaofeng Yue, Juan Zhu

Symmetry, December, 2023

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility.

Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik

CoRR, 2023

2022

Assemble Them All: Physics-Based Planning for Generalizable Assembly by Disassembly.

Yunsheng Tian, Jie Xu, Yichen Li, Jieliang Luo, Shinjiro Sueda, Hui Li, Karl D. D. Willis, Wojciech Matusik

ACM Trans. Graph., 2022

Coarse-fine point cloud registration based on local point-pair features and the iterative closest point algorithm.

Xiaofeng Yue, Zeyuan Liu, Juan Zhu, Xueliang Gao, Baojin Yang, Yunsheng Tian

Appl. Intell., 2022

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints.

Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

New Integrated Vehicle Stability Control of Active Front Steering and Electronic Stability Control Considering Tire Force Reserve Capability.

Guodong Wang, Yang Liu, Shaosong Li, Yunsheng Tian, Niaona Zhang, Gaojian Cui

IEEE Trans. Veh. Technol., 2021

AutoOED: Automated Optimal Experiment Design Platform.

Yunsheng Tian, Mina Konakovic-Lukovic, Timothy Erps, Michael Foshey, Wojciech Matusik

CoRR, 2021

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots.

Jagdeep Singh Bhatia, Holly Jackson, Yunsheng Tian, Jie Xu, Wojciech Matusik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations.

Mina Konakovic-Lukovic, Yunsheng Tian, Wojciech Matusik

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control.

Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Water contamination monitoring system based on big data: a case study.

Gaofeng Zhang, Yingnan Yan, Yunsheng Tian, Yang Liu, Yan Li, Qingguo Zhou, Rui Zhou, Kuan-Ching Li

Int. J. Comput. Sci. Eng., 2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp

CoRR, 2019

2018

Fluid directed rigid body control using deep reinforcement learning.

Pingchuan Ma, Yunsheng Tian, Zherong Pan, Bo Ren, Dinesh Manocha

ACM Trans. Graph., 2018