b'Chen gong'

research

∙ 09/14/2023

Aligning Speakers: Evaluating and Visualizing Text-based Diarization Using Efficient Multiple Sequence Alignment (Extended Version)

This paper presents a novel evaluation approach to text-based speaker di...

0 Chen gong, et al. ∙

research

∙ 09/02/2023

Regularly Truncated M-estimators for Learning with Noisy Labels

The sample selection approach is very popular in learning with noisy lab...

0 Xiaobo Xia, et al. ∙

research

∙ 07/21/2023

Distribution Shift Matters for Knowledge Distillation with Webly Collected Images

Knowledge distillation aims to learn a lightweight student network from ...

0 Jialiang Tang, et al. ∙

research

∙ 07/19/2023

Are We Ready to Embrace Generative AI for Software Q A?

Stack Overflow, the world's largest software Q A (SQA) website, is fac...

0 Bowen Xu, et al. ∙

research

∙ 07/14/2023

Exploiting Counter-Examples for Active Learning with Partial labels

This paper studies a new problem, active learning with partial labels (A...

0 Fei Zhang, et al. ∙

research

∙ 05/26/2023

A Hierarchical Approach to Population Training for Human-AI Collaboration

A major challenge for deep reinforcement learning (DRL) agents is to col...

0 Yi Loo, et al. ∙

research

∙ 05/24/2023

Directed Message Passing Based on Attention for Prediction of Molecular Properties

Molecular representation learning (MRL) has long been crucial in the fie...

0 Chen gong, et al. ∙

research

∙ 04/25/2023

Channel Estimation and Signal Detection for NLOS Ultraviolet Scattering Communication with Space Division Multiple Access

We design a receiver assembling several photomultipliers (PMTs) as an ar...

0 Yubo Zhang, et al. ∙

research

∙ 04/01/2023

Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning

A backdoor attack allows a malicious user to manipulate the environment ...

0 Hao Chen, et al. ∙

research

∙ 03/23/2023

Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Robust generalization aims to tackle the most challenging data distribut...

0 Zhuo Huang, et al. ∙

research

∙ 02/07/2023

Automatic Sleep Stage Classification with Cross-modal Self-supervised Features from Deep Brain Signals

The detection of human sleep stages is widely used in the diagnosis and ...

0 Chen gong, et al. ∙

research

∙ 01/06/2023

Centralized Cooperative Exploration Policy for Continuous Control Tasks

The deep reinforcement learning (DRL) algorithm works brilliantly on sol...

0 Chao Li, et al. ∙

research

∙ 11/22/2022

Unsupervised Domain Adaptation GAN Inversion for Image Editing

Existing GAN inversion methods work brilliantly for high-quality image r...

0 Siyu Xing, et al. ∙

research

∙ 10/31/2022

Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data

Chinese word segmentation (CWS) models have achieved very high performan...

0 Lei Zhang, et al. ∙

research

∙ 10/26/2022

Discourse-Aware Emotion Cause Extraction in Conversations

Emotion Cause Extraction in Conversations (ECEC) aims to extract the utt...

0 Dexin Kong, et al. ∙

research

∙ 10/17/2022

Unifying Graph Contrastive Learning with Flexible Contextual Scopes

Graph contrastive learning (GCL) has recently emerged as an effective le...

0 Yizhen Zheng, et al. ∙

research

∙ 09/01/2022

Online Data Selection for Federated Learning with Limited Storage

Machine learning models have been deployed in mobile networks to deal wi...

0 Chen gong, et al. ∙

research

∙ 07/07/2022

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

Machine learning models are vulnerable to Out-Of-Distribution (OOD) exam...

0 Zhuo Huang, et al. ∙

research

∙ 06/27/2022

Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels

The memorization effect of deep neural networks (DNNs) plays a pivotal r...

0 Chuang Zhang, et al. ∙

research

∙ 06/17/2022

Understanding Robust Overfitting of Adversarial Training and Beyond

Robust overfitting widely exists in adversarial training of deep network...

0 Chaojian Yu, et al. ∙

research

∙ 05/13/2022

MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset

During the past decade, neural network models have made tremendous progr...

6 Yahui Liu, et al. ∙

research

∙ 03/21/2022

Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation

In real-world scenarios, many large-scale datasets often contain inaccur...

0 Yongliang Ding, et al. ∙

research

∙ 02/27/2022

Synergistic Network Learning and Label Correction for Noise-robust Image Classification

Large training datasets almost always contain examples with inaccurate o...

0 Chen gong, et al. ∙

research

∙ 02/10/2022

Consistency and Diversity induced Human Motion Segmentation

Subspace clustering is a classical technique that has been widely used f...

10 Tao Zhou, et al. ∙

research

∙ 12/09/2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning

Cooperation between agents in a multi-agent system (MAS) has become a ho...

0 Yunpeng Bai, et al. ∙

research

∙ 11/04/2021

Map-Assisted Power Allocation and Constellation Design for mmWave WDM with OAM in Short-Range LOS Environment

Consider a system that integrates positioning and single-user millimeter...

0 Yuan Wang, et al. ∙

research

∙ 10/12/2021

Reliable Shot Identification for Complex Event Detection via Visual-Semantic Embedding

Multimedia event detection is the task of detecting a specific event of ...

0 Minnan Luo, et al. ∙

research

∙ 09/24/2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework

The framework of deep reinforcement learning (DRL) provides a powerful a...

0 Chen gong, et al. ∙

research

∙ 09/22/2021

LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders

Variational autoencoders (VAEs), as an important aspect of generative mo...

0 Xiaoyu Chen, et al. ∙

research

∙ 09/22/2021

MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning

Ensemble reinforcement learning (RL) aims to mitigate instability in Q-l...

0 Qiang He, et al. ∙

research

∙ 07/21/2021

Music Plagiarism Detection via Bipartite Graph Matching

Nowadays, with the prevalence of social media and music creation tools, ...

0 Tianyao He, et al. ∙

research

∙ 06/15/2021

Probabilistic Margins for Instance Reweighting in Adversarial Training

Reweighting adversarial data during training has been recently shown to ...

0 Qizhou Wang, et al. ∙

research

∙ 06/11/2021

KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation

In semantic segmentation, we aim to train a pixel-level classifier to as...

0 Chenhong Zhou, et al. ∙

research

∙ 06/01/2021

An In-depth Study on Internal Structure of Chinese Words

Unlike English letters, Chinese characters have rich and specific meanin...

0 Chen gong, et al. ∙

research

∙ 05/31/2021

Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease

Speech disorders often occur at the early stage of Parkinson's disease (...

0 Hao Fang, et al. ∙

research

∙ 05/12/2021

Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning

Graph representation learning plays a vital role in processing graph-str...

0 Ming Jin, et al. ∙

research

∙ 03/17/2021

Learning with Group Noise

Machine learning in the context of noise is a challenging but practical ...

0 Qizhou Wang, et al. ∙

research

∙ 01/14/2021

Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

The drastic increase of data quantity often brings the severe decrease o...

0 Qizhou Wang, et al. ∙

research

∙ 12/14/2020

A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK

A reasonable prediction of infectious diseases transmission process unde...

0 Yuxuan Zhang, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

4 Yunchao Wei, et al. ∙

research

∙ 09/19/2020

Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification

Nowadays, deep learning methods, especially the Graph Convolutional Netw...

9 Sheng Wan, et al. ∙

research

∙ 09/15/2020

Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

Graph-based Semi-Supervised Learning (SSL) aims to transfer the labels o...

8 Sheng Wan, et al. ∙

research

∙ 09/26/2019

Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network

In hyperspectral image (HSI) classification, spatial context has demonst...

11 Sheng Wan, et al. ∙

research

∙ 07/19/2019

An Approach to Efficient Fitting of Univariate and Multivariate Stochastic Volatility Models

The stochastic volatility model is a popular tool for modeling the volat...

0 Chen gong, et al. ∙

research

∙ 06/01/2019

Are Anchor Points Really Indispensable in Label-Noise Learning?

In label-noise learning, noise transition matrix, denoting the probabili...

0 Xiaobo Xia, et al. ∙

research

∙ 05/14/2019

Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

Convolutional Neural Network (CNN) has demonstrated impressive ability t...

0 Sheng Wan, et al. ∙

research

∙ 04/22/2019

On the Sum-Rate Capacity of Poisson Multiple Access Channel with Non-Perfect Photon-Counting Receiver

We first investigate two-user nonasymmetric sum-rate Poisson capacity wi...

0 Zhimeng Jiang, et al. ∙

research

∙ 04/15/2019

Robust Visual Tracking Revisited: From Correlation Filter to Template Matching

In this paper, we propose a novel matching based tracker by investigatin...

26 Fanghui Liu, et al. ∙

research

∙ 04/08/2019

Ensemble Teaching for Hybrid Label Propagation

Label propagation aims to iteratively diffuse the label information from...

0 Chen gong, et al. ∙

research

∙ 04/05/2019

A Regularization Approach for Instance-Based Superset Label Learning

Different from the traditional supervised learning in which each trainin...

24 Chen gong, et al. ∙

Chen gong

Featured Co-authors