Search Results for author: Yong Zhao

Found 39 papers, 9 papers with code

Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions

no code implementations23 Feb 2024 Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua

Despite the remarkable abilities of Large Language Models (LLMs) to answer questions, they often display a considerable level of overconfidence even when the question does not have a definitive answer.

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach

no code implementations4 Feb 2024 Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang

The transition from CPS-based Industry 4. 0 to CPSS-based Industry 5. 0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs).

Scheduling

ONNXExplainer: an ONNX Based Generic Framework to Explain Neural Networks Using Shapley Values

no code implementations29 Sep 2023 Yong Zhao, Runxin He, Nicholas Kersting, Can Liu, Shubham Agrawal, Chiranjeet Chetia, Yu Gu

SHAP package is a leading implementation of Shapley values to explain neural networks implemented in TensorFlow or PyTorch but lacks cross-platform support, one-shot deployment and is highly inefficient.

Improving Transformer-based Networks With Locality For Automatic Speaker Verification

no code implementations17 Feb 2023 Mufan Sang, Yong Zhao, Gang Liu, John H. L. Hansen, Jian Wu

The proposed models achieve 0. 75% EER on VoxCeleb 1 test set, outperforming the previously proposed Transformer-based models and CNN-based models, such as ResNet34 and ECAPA-TDNN.

Speaker Verification

High-Frequency Stereo Matching Network

no code implementations CVPR 2023 Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, Yong Zhao

In the field of binocular stereo matching, remarkable progress has been made by iterative methods like RAFT-Stereo and CREStereo.

Stereo Matching

Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild

no code implementations25 Nov 2022 Jucai Zhai, Pengcheng Zeng, Chihao Ma, Yong Zhao, Jie Chen

The proposed method consists of a learnable blur kernel to estimate the defocus map, which is an unsupervised method, and a single-image defocus deblurring generative adversarial network (DefocusGAN) for the first time.

Deblurring Generative Adversarial Network +2

Semi-supervised teacher-student deep neural network for materials discovery

1 code implementation12 Dec 2021 Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu

For synthesizability prediction, our model significantly increases the baseline PU learning's true positive rate from 87. 9\% to 97. 9\% using 1/49 model parameters.

Formation Energy regression

Physics guided deep learning generative models for crystal materials discovery

no code implementations7 Dec 2021 Yong Zhao, Edirisuriya MD Siriwardane, Jianjun Hu

Deep learning based generative models such as deepfake have been able to generate amazing images and videos.

Data Augmentation Face Swapping

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art

no code implementations9 Sep 2021 Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves Louis, Edirisuriya M. D. Siriwardane, Yong Zhao

The availability and easy access of large scale experimental and computational materials data have enabled the emergence of accelerated development of algorithms and models for materials property prediction, structure prediction, and generative design of materials.

Band Gap Materials Screening +1

Distributed adaptive algorithm based on the asymmetric cost of error functions

no code implementations7 Jul 2021 Sihai Guan, Qing Cheng, Yong Zhao

In this paper, a family of novel diffusion adaptive estimation algorithm is proposed from the asymmetric cost function perspective by combining diffusion strategy and the linear-linear cost (LLC), quadratic-quadratic cost (QQC), and linear-exponential cost (LEC), at all distributed network nodes, and named diffusion LLCLMS (DLLCLMS), diffusion QQCLMS (DQQCLMS), and diffusion LECLMS (DLECLMS), respectively.

Active learning based generative design for the discovery of wide bandgap materials

2 code implementations28 Feb 2021 Rui Xin, Edirisuriya M. D. Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves Louis, Alireza Nasiri, Jianjun Hu

Our experiments show that while active learning itself may sample chemically infeasible candidates, these samples help to train effective screening models for filtering out materials with desired properties from the hypothetical materials created by the generative model.

Active Learning Band Gap

Pion form factor and charge radius from Lattice QCD at physical point

no code implementations11 Feb 2021 Xiang Gao, Nikhil Karthik, Swagato Mukherjee, Peter Petreczky, Sergey Syritsyn, Yong Zhao

We study the form factor at the physical point with a lattice spacing $a=0. 076$ fm.

High Energy Physics - Lattice High Energy Physics - Experiment High Energy Physics - Phenomenology Nuclear Theory

AlphaCrystal: Contact map based crystal structure prediction using deep learning

1 code implementation2 Feb 2021 Jianjun Hu, Yong Zhao, Wenhui Yang, Yuqi Song, Edirisuriya MD Siriwardane, Yuxin Li, Rongzhi Dong

To our knowledge, AlphaCrystal is the first neural network based algorithm for crystal structure contact map prediction and the first method for directly reconstructing crystal structures from materials composition, which can be further optimized by DFT calculations.

Protein Structure Prediction Materials Science

Towards studying the structural differences between the pion and its radial excitation

no code implementations27 Jan 2021 Xiang Gao, Nikhil Karthik, Swagato Mukherjee, Peter Petreczky, Sergey Syritsyn, Yong Zhao

We present an exploratory lattice QCD investigation of the differences between the valence quark structure of pion and its radial excitation $\pi(1300)$ in a fixed finite volume using the leading-twist factorization approach.

High Energy Physics - Lattice High Energy Physics - Experiment High Energy Physics - Phenomenology Nuclear Theory

Intragroup sparsity for efficient inference

no code implementations1 Jan 2021 Zilin Yu, Chao Wang, Xin Wang, Yong Zhao, Xundong Wu

This work studies intragroup sparsity, a fine-grained structural constraint on network weight parameters.

Computational discovery of new 2D materials using deep learning generative models

no code implementations16 Dec 2020 Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu

Two dimensional (2D) materials have emerged as promising functional materials with many applications such as semiconductors and photovoltaics because of their unique optoelectronic properties.

Formation Energy

Reverse-engineering Bar Charts Using Neural Networks

1 code implementation5 Sep 2020 Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao

Reverse-engineering bar charts extracts textual and numeric information from the visual representations of bar charts to support application scenarios that require the underlying information.

object-detection Object Detection

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks

no code implementations17 Mar 2020 Yong Zhao, Kunpeng Yuan, Yinqiao Liu, Steph-Yves Louis, Ming Hu, Jianjun Hu

Extensive benchmark experiments over 2, 170 Fm-3m face-centered-cubic (FCC) materials show that our ECD based CNNs can achieve good performance for elasticity prediction.

Property Prediction

Machine Learning based prediction of noncentrosymmetric crystal materials

no code implementations26 Feb 2020 Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves Louis, Jie Ling, Ming Hu, Jianjun Hu

Noncentrosymmetric materials play a critical role in many important applications such as laser technology, communication systems, quantum computing, cybersecurity, and etc.

BIG-bench Machine Learning

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials

no code implementations12 Nov 2019 Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu

The percentage of chemically valid (charge neutral and electronegativity balanced) samples out of all generated ones reaches 84. 5% by our GAN when trained with materials from ICSD even though no such chemical rules are explicitly enforced in our GAN model, indicating its capability to learn implicit chemical composition rules.

Generative Adversarial Network valid

Cross-Channel Intragroup Sparsity Neural Network

no code implementations26 Oct 2019 Zhilin Yu, Chao Wang, Xin Wang, Qing Wu, Yong Zhao, Xundong Wu

Modern deep neural networks rely on overparameterization to achieve state-of-the-art generalization.

Model Compression Network Pruning

Dedge-AGMNet:an effective stereo matching network optimized by depth edge auxiliary task

no code implementations25 Aug 2019 Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao

To improve the performance in ill-posed regions, this paper proposes an atrous granular multi-scale network based on depth edge subnetwork(Dedge-AGMNet).

3D Architecture Disparity Estimation +3

End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching

no code implementations25 Jun 2019 Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao

To tackle this problem, we propose a network for disparity estimation based on abundant contextual details and semantic information, called Multi-scale Features Network (MSFNet).

Disparity Estimation Stereo Matching +1

Adversarial Speaker Verification

no code implementations29 Apr 2019 Zhong Meng, Yong Zhao, Jinyu Li, Yifan Gong

The use of deep networks to extract embeddings for speaker recognition has proven successfully.

General Classification Speaker Recognition +1

Conditional Teacher-Student Learning

no code implementations28 Apr 2019 Zhong Meng, Jinyu Li, Yong Zhao, Yifan Gong

To overcome this problem, we propose a conditional T/S learning scheme, in which a "smart" student model selectively chooses to learn from either the teacher model or the ground truth labels conditioned on whether the teacher can correctly predict the ground truth.

Domain Adaptation Model Compression

GSLAM: A General SLAM Framework and Benchmark

1 code implementation ICCV 2019 Yong Zhao, Shibiao Xu, Shuhui Bu, Hongkai Jiang, Pengcheng Han

SLAM technology has recently seen many successes and attracted the attention of high-technological companies.

Simultaneous Localization and Mapping

ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset

no code implementations21 Feb 2019 Guiying Zhang, Yuxin Cui, Yong Zhao, Jianjun Hu

State-of-the-art face recognition algorithms are able to achieve good performance when sufficient training images are provided.

Data Augmentation Face Recognition +2

Speaker Adaptation for End-to-End CTC Models

no code implementations4 Jan 2019 Ke Li, Jinyu Li, Yong Zhao, Kshitiz Kumar, Yifan Gong

We propose two approaches for speaker adaptation in end-to-end (E2E) automatic speech recognition systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Speaker-Invariant Training via Adversarial Learning

no code implementations2 Apr 2018 Zhong Meng, Jinyu Li, Zhuo Chen, Yong Zhao, Vadim Mazalov, Yifan Gong, Biing-Hwang, Juang

We propose a novel adversarial multi-task learning scheme, aiming at actively curtailing the inter-talker feature variability while maximizing its senone discriminability so as to enhance the performance of a deep neural network (DNN) based ASR system.

General Classification Multi-Task Learning

Cascaded multi-scale and multi-dimension convolutional neural network for stereo matching

no code implementations26 Mar 2018 Haihua Lu, Hai Xu, Li Zhang, Yong Zhao

Firstly, we propose a new multi-scale matching cost computation sub-network, in which two different sizes of receptive fields are implemented parallelly.

Stereo Matching Stereo Matching Hand

Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network

no code implementations18 Jan 2018 Liwen Zheng, Canmiao Fu, Yong Zhao

Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in the current object detection field, which uses fully convolutional neural network to detect all scaled objects in an image.

object-detection Object Detection

End-to-End Attention based Text-Dependent Speaker Verification

no code implementations3 Jan 2017 Shi-Xiong Zhang, Zhuo Chen, Yong Zhao, Jinyu Li, Yifan Gong

A new type of End-to-End system for text-dependent speaker verification is presented in this paper.

Text-Dependent Speaker Verification

Efficient Convolutional Auto-Encoding via Random Convexification and Frequency-Domain Minimization

no code implementations28 Nov 2016 Meshia Cédric Oveneke, Mitchel Aliosha-Perez, Yong Zhao, Dongmei Jiang, Hichem Sahli

The omnipresence of deep learning architectures such as deep convolutional neural networks (CNN)s is fueled by the synergistic combination of ever-increasing labeled datasets and specialized hardware.

Binarized Neural Networks on the ImageNet Classification Task

1 code implementation11 Apr 2016 Xundong Wu, Yong Wu, Yong Zhao

We trained Binarized Neural Networks (BNNs) on the high resolution ImageNet ILSVRC-2102 dataset classification task and achieved a good performance.

Classification General Classification

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