Search Results for author: Hao Liang

Found 17 papers, 3 papers with code

Optimistic Thompson Sampling for No-Regret Learning in Unknown Games

no code implementations7 Feb 2024 Yingru Li, Liangqi Liu, Wenqiang Pu, Hao Liang, Zhi-Quan Luo

This work tackles the complexities of multi-player scenarios in \emph{unknown games}, where the primary challenge lies in navigating the uncertainty of the environment through bandit feedback alongside strategic decision-making.

Decision Making Thompson Sampling

MC-NeRF: Multi-Camera Neural Radiance Fields for Multi-Camera Image Acquisition Systems

no code implementations14 Sep 2023 Yu Gao, Lutong Su, Hao Liang, Yufeng Yue, Yi Yang, Mengyin Fu

In this paper, we propose MC-NeRF, a method that enables joint optimization of both intrinsic and extrinsic parameters alongside NeRF.

A Distribution Optimization Framework for Confidence Bounds of Risk Measures

no code implementations12 Jun 2023 Hao Liang, Zhi-Quan Luo

Unlike traditional approaches that add or subtract a confidence radius from the empirical risk measures, our proposed schemes evaluate a specific transformation of the empirical distribution based on the distance.

Decision Making

Regret Bounds for Risk-sensitive Reinforcement Learning with Lipschitz Dynamic Risk Measures

no code implementations4 Jun 2023 Hao Liang, Zhi-Quan Luo

We study finite episodic Markov decision processes incorporating dynamic risk measures to capture risk sensitivity.

reinforcement-learning

X-ray Recognition: Patient identification from X-rays using a contrastive objective

no code implementations29 Apr 2023 Hao Liang, Kevin Ni, Guha Balakrishnan

Recent research demonstrates that deep learning models are capable of precisely extracting bio-information (e. g. race, gender and age) from patients' Chest X-Rays (CXRs).

Visualizing chest X-ray dataset biases using GANs

no code implementations29 Apr 2023 Hao Liang, Kevin Ni, Guha Balakrishnan

Recent work demonstrates that images from various chest X-ray datasets contain visual features that are strongly correlated with protected demographic attributes like race and gender.

Fairness

Linking convolutional kernel size to generalization bias in face analysis CNNs

no code implementations7 Feb 2023 Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Our framework is experimental, in that we train several versions of a network with an intervention to a specific hyperparameter, and measure the resulting causal effect of this choice on performance bias when a particular out-of-distribution image perturbation is applied.

Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds

no code implementations25 Oct 2022 Hao Liang, Zhi-Quan Luo

We study the regret guarantee for risk-sensitive reinforcement learning (RSRL) via distributional reinforcement learning (DRL) methods.

Computational Efficiency Distributional Reinforcement Learning +2

Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification

no code implementations31 Mar 2022 Guanxing Zhou, Hao Liang, Xinghao Ding, Yue Huang, Xiaotong Tu, Saqlain Abbas

Acoustic source localization has been applied in different fields, such as aeronautics and ocean science, generally using multiple microphones array data to reconstruct the source location.

RareGAN: Generating Samples for Rare Classes

1 code implementation20 Mar 2022 Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

We study the problem of learning generative adversarial networks (GANs) for a rare class of an unlabeled dataset subject to a labeling budget.

Active Learning

False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation

no code implementations9 Mar 2022 YuAn Liu, Omid Ardakanian, Ioanis Nikolaidis, Hao Liang

With the large scale penetration of electric vehicles (EVs) and the advent of bidirectional chargers, EV aggregators will become a major player in the voltage regulation market.

Capacity Estimation Stochastic Optimization

Controlled AutoEncoders to Generate Faces from Voices

no code implementations16 Jul 2021 Hao Liang, Lulan Yu, Guikang Xu, Bhiksha Raj, Rita Singh

With this in perspective, we propose a framework to morph a target face in response to a given voice in a way that facial features are implicitly guided by learned voice-face correlation in this paper.

MORPH Retrieval

Homomorphisms to 3-manifold groups

no code implementations10 Mar 2021 Daniel Groves, Michael Hull, Hao Liang

We prove foundational results about the set of homomorphisms from a finitely generated group to the collection of all fundamental groups of compact 3-manifolds and answer questions of Reid-Wang-Zhou and Agol-Liu.

Geometric Topology Group Theory

Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

1 code implementation NeurIPS 2020 Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor

In federated optimization, heterogeneity in the clients' local datasets and computation speeds results in large variations in the number of local updates performed by each client in each communication round.

DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification

no code implementations ACL 2020 Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir

Simultaneously, the discovered evidence only roughly aims at the interpretability of the whole sequence of claims but insufficient to focus on the false parts of claims.

Claim Verification

Overlap Local-SGD: An Algorithmic Approach to Hide Communication Delays in Distributed SGD

1 code implementation21 Feb 2020 Jianyu Wang, Hao Liang, Gauri Joshi

In this paper, we propose an algorithmic approach named Overlap-Local-SGD (and its momentum variant) to overlap the communication and computation so as to speedup the distributed training procedure.

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