1 citations · 1 across the 6 of their papers we have counts for
6 papers
Attention-Based Functional-Group Coarse-Graining: A Deep Learning Framework for Molecular Prediction and Design
Ming Han, Ge Sun, Juan J. de Pablo
Machine learning (ML) offers considerable promise for the design of new molecules and materials. In real-world applications, the design problem is often domain-specific, and suffer…
Towards counterfactual fairness through auxiliary variables
Bowei Tian, Ziyao Wang, Shwai He +5
The challenge of balancing fairness and predictive accuracy in machine learning models, especially when sensitive attributes such as race, gender, or age are considered, has motiva…
LHPF: Look back the History and Plan for the Future in Autonomous Driving
Sheng Wang, Yao Tian, Xiaodong Mei +5
Decision-making and planning in autonomous driving critically reflect the safety of the system, making effective planning imperative. Current imitation learning-based planning algo…
Cavity Modified Oscillating Bound States with a -type giant emitter in a linear waveguide
Ge Sun, Ya Yang, Jing Li +2
We study a system composed by a three-level giant atom (3GA), a waveguide initially in the vacuum state, and a single-mode cavity. The 3GA-cavity system is in a strong-coupling reg…
Prediction of Diblock Copolymer Morphology via Machine Learning
Hyun Park, Boyuan Yu, Juhae Park +4
A machine learning approach is presented to accelerate the computation of block polymer morphology evolution for large domains over long timescales. The strategy exploits the separ…
Legged Robots for Object Manipulation: A Review
Yifeng Gong, Ge Sun, Aditya Nair +5
Legged robots can have a unique role in manipulating objects in dynamic, human-centric, or otherwise inaccessible environments. Although most legged robotics research to date typic…