activity
20212026
most citedA Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction

2 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

econ.EM2026

A Simple Approximation to the Distribution of the Ridge Regression Estimator

José Luis Montiel Olea, Ryan Strong, Amilcar Velez +2

We present a simple Gaussian approximation to the finite-sample distribution of the classical ridge regression estimator. Our approximation captures the fact that, in finite sample…

econ.EM2026

Decision Theory for the Archetype Discovery Problem

José Luis Montiel Olea, Amilcar Velez, Zhuoheng Xu +2

In the archetype discovery problem a researcher wants to summarize N heterogeneous policy effects of interest that vary over a discrete set of covariates. The goal is to partition…

cs.LG2025

SculptDrug : A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design

Qingsong Zhong, Haomin Yu, Yan Lin +3

Structure-Based drug design (SBDD) has emerged as a popular approach in drug discovery, leveraging three-dimensional protein structures to generate drug ligands. However, existing…

cs.AI2025

ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting

Haichen Wang, Liu Yang, Xinyuan Zhang +3

Passenger demand forecasting helps optimize vehicle scheduling, thereby improving urban efficiency. Recently, attention-based methods have been used to adequately capture the dynam…

cs.LG2023★ 2 cited

A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction

Haomin Yu, Yanru Song, Jilin Hu +2

Crystal property prediction is a crucial aspect of developing novel materials. However, there are two technical challenges to be addressed for speeding up the investigation of crys…

cs.LG2021

MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors

Haomin Yu, Yangli-ao Geng, Yingjun Zhang +2

The advances of sensor technology enable people to monitor air quality through widely distributed low-cost sensors. However, measurements from these sensors usually encounter high…