Jiawei Huang | DeepAI

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Featured Co-authors

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302 publications
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Nan Jiang
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∙ 05/29/2023

Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation

Large diffusion models have been successful in text-to-audio (T2A) synth...

0 Jiawei Huang, et al. ∙

∙ 05/18/2023

On the Statistical Efficiency of Mean Field Reinforcement Learning with General Function Approximation

In this paper, we study the statistical efficiency of Reinforcement Lear...

0 Jiawei Huang, et al. ∙

∙ 05/01/2023

GeneFace++: Generalized and Stable Real-Time Audio-Driven 3D Talking Face Generation

Generating talking person portraits with arbitrary speech audio is a cru...

8 Zhenhui Ye, et al. ∙

∙ 04/25/2023

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

Large language models (LLMs) have exhibited remarkable capabilities acro...

7 Rongjie Huang, et al. ∙

∙ 03/11/2023

Online Neural Path Guiding with Normalized Anisotropic Spherical Gaussians

The variance reduction speed of physically-based rendering is heavily af...

0 Jiawei Huang, et al. ∙

∙ 03/08/2023

Structure-aware registration network for liver DCE-CT images

Image registration of liver dynamic contrast-enhanced computed tomograph...

0 Peng Xue, et al. ∙

∙ 02/10/2023

Robust Knowledge Transfer in Tiered Reinforcement Learning

In this paper, we study the Tiered Reinforcement Learning setting, a par...

0 Jiawei Huang, et al. ∙

∙ 01/30/2023

Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models

Large-scale multimodal generative modeling has created milestones in tex...

1 Rongjie Huang, et al. ∙

∙ 10/09/2022

Coresets for Wasserstein Distributionally Robust Optimization Problems

Wasserstein distributionally robust optimization () is a popular model t...

0 Ruomin Huang, et al. ∙

∙ 06/14/2022

Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites

In clinical practice, a segmentation network is often required to contin...

2 Jingyang Zhang, et al. ∙

∙ 05/25/2022

Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret

We propose a new learning framework that captures the tiered structure o...

0 Jiawei Huang, et al. ∙

∙ 04/03/2022

Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification

To improve the classification performance and generalization ability of ...

0 Zhixin Yan, et al. ∙

∙ 02/14/2022

Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality

Deployment efficiency is an important criterion for many real-world appl...

0 Jiawei Huang, et al. ∙

∙ 12/05/2021

A Novel Sequential Coreset Method for Gradient Descent Algorithms

A wide range of optimization problems arising in machine learning can be...

0 Jiawei Huang, et al. ∙

∙ 06/02/2021

On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction

In this paper, we study the convergence properties of off-policy policy ...

0 Jiawei Huang, et al. ∙

∙ 02/28/2021

Is Simple Uniform Sampling Efficient for Center-Based Clustering With Outliers: When and Why?

Clustering has many important applications in computer science, but real...

0 Hu Ding, et al. ∙

∙ 07/23/2020

WeightNet: Revisiting the Design Space of Weight Networks

We present a conceptually simple, flexible and effective framework for w...

12 Ningning Ma, et al. ∙

∙ 06/14/2020

Defending SVMs against Poisoning Attacks: the Hardness and DBSCAN Approach

Adversarial machine learning has attracted a great amount of attention i...

60 Hu Ding, et al. ∙

∙ 02/27/2020

The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization with Outliers

Johnson-Lindenstrauss (JL) Transform is one of the most popular methods ...

0 Hu Ding, et al. ∙

∙ 02/06/2020

Minimax Confidence Interval for Off-Policy Evaluation and Policy Optimization

We study minimax methods for off-policy evaluation (OPE) using value-fun...

2 Nan Jiang, et al. ∙

∙ 10/20/2019

From Importance Sampling to Doubly Robust Policy Gradient

We show that policy gradient (PG) and its variance reduction variants ca...

0 Jiawei Huang, et al. ∙

∙ 03/17/2018

Learning to Cluster for Proposal-Free Instance Segmentation

This work proposed a novel learning objective to train a deep neural net...

0 Yen-Chang Hsu, et al. ∙

∙ 09/02/2017

Learning Loss for Knowledge Distillation with Conditional Adversarial Networks

There is an increasing interest on accelerating neural networks for real...

0 Zheng Xu, et al. ∙

∙ 06/28/2017

Robust Lane Tracking with Multi-mode Observation Model and Particle Filtering

Automatic lane tracking involves estimating the underlying signal from a...

0 Jiawei Huang, et al. ∙

∙ 05/02/2017

Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California

Each year, millions of motor vehicle traffic accidents all over the worl...

0 Akansel Cosgun, et al. ∙