b'Yi Chang'

research

∙ 08/22/2023

Careful at Estimation and Bold at Exploration

Exploration strategies in continuous action space are often heuristic du...

0 Xing Chen, et al. ∙

research

∙ 08/07/2023

From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal

Learning-based image deraining methods have made great progress. However...

0 Yun Guo, et al. ∙

research

∙ 07/19/2023

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

The research field of Information Retrieval (IR) has evolved significant...

0 Qingyao Ai, et al. ∙

research

∙ 07/06/2023

A Survey on Evaluation of Large Language Models

Large language models (LLMs) are gaining increasing popularity in both a...

0 Yupeng Chang, et al. ∙

research

∙ 06/15/2023

1st Solution Places for CVPR 2023 UG^2+ Challenge Track 2.2-Coded Target Restoration through Atmospheric Turbulence

In this technical report, we briefly introduce the solution of our team ...

0 Shengqi Xu, et al. ∙

research

∙ 06/15/2023

1st Solution Places for CVPR 2023 UG^2+ Challenge Track 2.1-Text Recognition through Atmospheric Turbulence

In this technical report, we present the solution developed by our team ...

0 Shengqi Xu, et al. ∙

research

∙ 06/13/2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning

Offline reinforcement learning (RL) provides a promising solution to lea...

0 Siyuan Guo, et al. ∙

research

∙ 06/08/2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning

Recent works have shown the potential of diffusion models in computer vi...

0 Jifeng Hu, et al. ∙

research

∙ 05/22/2023

U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech

Deep learning has led to considerable advances in text-to-speech synthes...

0 Xin Jing, et al. ∙

research

∙ 05/13/2023

A Two-Stage Real Image Deraining Method for GT-RAIN Challenge CVPR 2023 Workshop UG^2+ Track 3

In this technical report, we briefly introduce the solution of our team ...

0 Yun Guo, et al. ∙

research

∙ 03/24/2023

Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow

Optical flow estimation has made great progress, but usually suffers fro...

0 Hanyu Zhou, et al. ∙

research

∙ 03/14/2023

Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow

Optical flow has achieved great success under clean scenes, but suffers ...

0 Hanyu Zhou, et al. ∙

research

∙ 01/23/2023

A Comprehensive Survey on Heart Sound Analysis in the Deep Learning Era

Heart sound auscultation has been demonstrated to be beneficial in clini...

0 Zhao Ren, et al. ∙

research

∙ 12/13/2022

One-shot Machine Teaching: Cost Very Few Examples to Converge Faster

Artificial intelligence is to teach machines to take actions like humans...

0 Chen Zhang, et al. ∙

research

∙ 12/11/2022

FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification

Weakly-supervised text classification aims to train a classifier using o...

0 Tingyu Xia, et al. ∙

research

∙ 11/07/2022

Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables

Recently, discrete latent variable models have received a surge of inter...

0 Erxin Yu, et al. ∙

research

∙ 11/02/2022

Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity

Most of the existing learning-based deraining methods are supervisedly t...

0 Yi Chang, et al. ∙

research

∙ 10/26/2022

Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning

Speech emotion recognition (SER) has been a popular research topic in hu...

0 Yi Chang, et al. ∙

research

∙ 10/26/2022

Fast Yet Effective Speech Emotion Recognition with Self-distillation

Speech emotion recognition (SER) is the task of recognising human's emot...

0 Zhao Ren, et al. ∙

research

∙ 10/14/2022

Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

Multi-agent reinforcement learning has drawn increasing attention in pra...

0 Jifeng Hu, et al. ∙

research

∙ 09/29/2022

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection

Existing fake news detection methods aim to classify a piece of news as ...

0 Zhiwei Yang, et al. ∙

research

∙ 07/29/2022

A Survey of Learning on Small Data

Learning on big data brings success for artificial intelligence (AI), bu...

0 Xiaofeng Cao, et al. ∙

research

∙ 05/20/2022

Sigmoidally Preconditioned Off-policy Learning:a new exploration method for reinforcement learning

One of the major difficulties of reinforcement learning is learning from...

0 Xing Chen, et al. ∙

research

∙ 05/19/2022

A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems

Most NN-RSs focus on accuracy by building representations from the direc...

0 Yuanbo Xu, et al. ∙

research

∙ 03/30/2022

Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis

Respiratory sound classification is an important tool for remote screeni...

0 Yi Chang, et al. ∙

research

∙ 03/25/2022

Unsupervised Image Deraining: Optimization Model Driven Deep CNN

The deep convolutional neural network has achieved significant progress ...

0 Changfeng Yu, et al. ∙

research

∙ 03/10/2022

Climate Change Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet

Among the seventeen Sustainable Development Goals (SDGs) proposed within...

0 Björn W. Schuller, et al. ∙

research

∙ 03/09/2022

Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition

Due to the development of machine learning and speech processing, speech...

0 Yi Chang, et al. ∙

research

∙ 01/25/2022

Event-based Video Reconstruction via Potential-assisted Spiking Neural Network

Neuromorphic vision sensor is a new bio-inspired imaging paradigm that r...

0 Lin Zhu, et al. ∙

research

∙ 10/28/2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks

Despite the recent advances of graph neural networks (GNNs) in modeling ...

0 Haotian Xue, et al. ∙

research

∙ 09/23/2021

Orthogonal Graph Neural Networks

Graph neural networks (GNNs) have received tremendous attention due to t...

0 Kai Guo, et al. ∙

research

∙ 09/06/2021

Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction

Aspect-level sentiment classification (ALSC) aims at identifying the sen...

0 Bo Wang, et al. ∙

research

∙ 08/06/2021

The EIHW-GLAM Deep Attentive Multi-model Fusion System for Cough-based COVID-19 Recognition in the DiCOVA 2021 Challenge

Aiming to automatically detect COVID-19 from cough sounds, we propose a ...

0 Zhao Ren, et al. ∙

research

∙ 07/05/2021

Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words

It is important to learn joint embedding for 3D shapes and text in diffe...

0 Chuan Tang, et al. ∙

research

∙ 05/29/2021

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery

In this paper, we study multi-dimensional image recovery. Recently, tran...

11 Yi-Si Luo, et al. ∙

research

∙ 05/28/2021

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation

Post-click conversion, as a strong signal indicating the user preference...

0 Siyuan Guo, et al. ∙

research

∙ 03/25/2021

Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation

Existing deep learning-based image deraining methods have achieved promi...

9 Yuntong Ye, et al. ∙

research

∙ 02/22/2021

Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks

We study the problem of incorporating prior knowledge into a deep Transf...

0 Tingyu Xia, et al. ∙

research

∙ 01/27/2021

Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection

The explosive growth of fake news along with destructive effects on poli...

0 Yuxiang Ren, et al. ∙

research

∙ 10/17/2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

Imbalanced learning (IL), i.e., learning unbiased models from class-imba...

0 Zhining Liu, et al. ∙

research

∙ 08/22/2020

Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior

Hyperspectral images (HSIs) are unavoidably corrupted by mixed noise whi...

8 Yi-Si Luo, et al. ∙

research

∙ 04/30/2020

Semantic Triple Encoder for Fast Open-Set Link Prediction

We improve both the open-set generalization and efficiency of link predi...

0 Bo Wang, et al. ∙

research

∙ 01/17/2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks

Graph structured data has wide applicability in various domains such as ...

22 Qiang Huang, et al. ∙

research

∙ 09/08/2019

Self-paced Ensemble for Highly Imbalanced Massive Data Classification

Many real-world applications reveal difficulties in learning classifiers...

1 Zhining Liu, et al. ∙

research

∙ 09/08/2019

Training Effective Ensemble on Imbalanced Data by Self-paced Harmonizing Classification Hardness

Many real-world applications reveal difficulties in learning classifiers...

0 Zhining Liu, et al. ∙

research

∙ 09/07/2019

A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations

Extracting relational triples from unstructured text is crucial for larg...

0 Zhepei Wei, et al. ∙

research

∙ 08/28/2019

Classical Chinese Sentence Segmentation for Tomb Biographies of Tang Dynasty

Tomb biographies of the Tang dynasty provide invaluable information abou...

0 Chao-Lin Liu, et al. ∙

research

∙ 08/23/2019

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model

Entity extraction and relation extraction are two indispensable building...

0 Zhepei Wei, et al. ∙

research

∙ 08/13/2019

Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System

In real-world question-answering (QA) systems, ill-formed questions, suc...

6 Ye Liu, et al. ∙

research

∙ 03/01/2019

JIM: Joint Influence Modeling for Collective Search Behavior

Previous work has shown that popular trending events are important exter...

0 Shubhra Kanti Karmaker Santu, et al. ∙

Yi Chang

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