activity
20152023
most citedRoton pair density wave and unconventional strong-coupling superconductivity in a topological kagome metal

650 citations · 1.3k across the 33 of their papers we have counts for

collaborators

34 papers

physics.flu-dyn2023★ 43 cited

Droplet control based on pinning and substrate wettability

Panagiotis E. Theodorakis, Alidad Amirfazli, Bin Hu +1

Pinning of liquid droplets on solid substrates is ubiquitous and plays an essential role in many applications, especially in various areas, such as microfluidics and biology. Altho…

cs.CL2023

Expression Syntax Information Bottleneck for Math Word Problems

Jing Xiong, Chengming Li, Min Yang +2

Math Word Problems (MWP) aims to automatically solve mathematical questions given in texts. Previous studies tend to design complex models to capture additional information in the…

math.OC2023★ 1 cited

Bounds for the Tracking Error and Dynamic Regret of Inexact Online Optimization Methods: A General Analysis via Sequential Semidefinite Programs

Usman Syed, Emiliano Dall'Anese, Bin Hu

In this paper, we develop a unified framework for analyzing the tracking error and dynamic regret of inexact online optimization methods under a variety of settings. Specifically,…

math.OC2023

Learning the Kalman Filter with Fine-Grained Sample Complexity

Xiangyuan Zhang, Bin Hu, Tamer Başar

We develop the first end-to-end sample complexity of model-free policy gradient (PG) methods in discrete-time infinite-horizon Kalman filtering. Specifically, we introduce the rece…

cs.IR2023

Multi-Feature Integration for Perception-Dependent Examination-Bias Estimation

Xiaoshu Chen, Xiangsheng Li, Kunliang Wei +4

Eliminating examination bias accurately is pivotal to apply click-through data to train an unbiased ranking model. However, most examination-bias estimators are limited to the hypo…

cs.IR2023

Pretraining De-Biased Language Model with Large-scale Click Logs for Document Ranking

Xiangsheng Li, Xiaoshu Chen, Kunliang Wei +4

Pre-trained language models have achieved great success in various large-scale information retrieval tasks. However, most of pretraining tasks are based on counterfeit retrieval da…