activity
20202023
most citedFlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

477 citations · 1.1k across the 28 of their papers we have counts for

collaborators
Showing 2023Show all

13 papers · 1 filter

cs.LG2023★ 3 cited

Reaction coordinate flows for model reduction of molecular kinetics

Hao Wu, Frank Noé

In this work, we introduce a flow based machine learning approach, called reaction coordinate (RC) flow, for discovery of low-dimensional kinetic models of molecular systems. The R…

eess.SP2023

RIS-assisted High-Speed Railway Integrated Sensing and Communication System

Panpan Li, Yong Niu, Hao Wu +5

One technology that has the potential to improve wireless communications in years to come is integrated sensing and communication (ISAC). In this study, we take advantage of reconf…

cs.CV2023★ 1 cited

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback

Yiqi Lin, Hao Wu, Ruichen Wang +4

Generating and editing a 3D scene guided by natural language poses a challenge, primarily due to the complexity of specifying the positional relations and volumetric changes within…

physics.optics2023

Single-shot spatial instability and electric control of polariton condensates at room temperature

Ying Gao, Xuekai Ma, Xiaokun Zhai +11

In planar microcavities, the transverse-electric and transverse-magnetic (TE-TM) mode splitting of cavity photons arises due to their different penetration into the Bragg mirrors a…

cs.NI2023

Asynchronous multi-class traffic management in wide area networks

Hao Wu, Jian Yan, Linling Kuang

The emergence of new applications brings multi-class traffic with diverse quality of service (QoS) requirements to wide area networks (WANs), motivating research in traffic enginee…

math.NA2023

Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems

Xiaofei Guan, Xintong Wang, Hao Wu +2

In this paper, we introduce an innovative approach for addressing Bayesian inverse problems through the utilization of physics-informed invertible neural networks (PI-INN). The PI-…

cond-mat.soft2023★ 4 cited

Continuum theory of electrostatic-elastic coupling interactions in colloidal crystals

Hao Wu, Zhong-Can Ou-Yang, Rudolf Podgornik

A mobile Coulomb gas permeating a fixed background crystalline lattice of charged colloidal crystals is subject to an electrostatic-elastic coupling, which we study on the continuu…

cs.CL2023★ 50 cited

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark

Haoran Wu, Wenxuan Wang, Yuxuan Wan +2

ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering fol…

cs.IT2023★ 41 cited

Joint Optimization of Relay Selection and Transmission Scheduling for UAV-Aided mmWave Vehicular Networks

Jing Li, Yong Niu, Hao Wu +4

To deal with the explosive growth of mobile traffic, millimeter-wave (mmWave) communications with abundant bandwidth resources have been applied to vehicular networks. As mmWave si…

cs.CL2023

Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding

Zefa Hu, Xiuyi Chen, Haoran Wu +5

Medical Slot Filling (MSF) task aims to convert medical queries into structured information, playing an essential role in diagnosis dialogue systems. However, the lack of sufficien…

math.NA2023★ 2 cited

IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning

Ling Guo, Hao Wu, Wenwen Zhou +2

We propose a novel framework for uncertainty quantification via information bottleneck (IB-UQ) for scientific machine learning tasks, including deep neural network (DNN) regression…

cs.LG2023★ 16 cited

A Closer Look at Few-shot Classification Again

Xu Luo, Hao Wu, Ji Zhang +3

Few-shot classification consists of a training phase where a model is learned on a relatively large dataset and an adaptation phase where the learned model is adapted to previously…

cs.CV2023★ 3 cited

Vision Learners Meet Web Image-Text Pairs

Bingchen Zhao, Quan Cui, Hao Wu +3

Many self-supervised learning methods are pre-trained on the well-curated ImageNet-1K dataset. In this work, given the excellent scalability of web data, we consider self-supervise…