Search Results for author: Xiaokun Zhang

Found 13 papers, 7 papers with code

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips

no code implementations COLING 2022 Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma

We collected and annotated a wide range of meta-data with respect to medical dialogue including doctor profiles, hospital departments, diseases and symptoms for fine-grained analysis on language usage pattern and clinical diagnosis.

Response Generation

Side Information-Driven Session-based Recommendation: A Survey

no code implementations27 Feb 2024 Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin

Emerging efforts incorporate various kinds of side information into their methods for enhancing task performance.

Session-Based Recommendations

Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation

1 code implementation2 Nov 2023 Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin

Secondly, price preference and interest preference are interdependent and collectively determine user choice, necessitating that we jointly consider both price and interest preference for intent modeling.

Multi-Task Learning Session-Based Recommendations

Beyond Co-occurrence: Multi-modal Session-based Recommendation

1 code implementation29 Sep 2023 Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin

(2) How to fuse these heterogeneous descriptive information to comprehensively infer user interests?

Contrastive Learning Descriptive +2

Hate Speech Detection via Dual Contrastive Learning

no code implementations10 Jul 2023 Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu

Our framework jointly optimizes the self-supervised and the supervised contrastive learning loss for capturing span-level information beyond the token-level emotional semantics used in existing models, particularly detecting speech containing abusive and insulting words.

Contrastive Learning Hate Speech Detection

Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks

1 code implementation8 May 2023 Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang, Hongfei Lin

In addition, it is crucial to introduce lexical knowledge to detect the toxicity of posts, which has been a challenge for researchers.

Hate Speech Detection

TBFormer: Two-Branch Transformer for Image Forgery Localization

1 code implementation25 Feb 2023 Yaqi Liu, Binbin Lv, Xin Jin, Xiaoyu Chen, Xiaokun Zhang

In this paper, we propose a Transformer-style network with two feature extraction branches for image forgery localization, and it is named as Two-Branch Transformer (TBFormer).

Vocal Bursts Valence Prediction

Pseudo-labelling and Meta Reweighting Learning for Image Aesthetic Quality Assessment

no code implementations8 Jan 2022 Xin Jin, Hao Lou, Huang Heng, XiaoDong Li, Shuai Cui, Xiaokun Zhang, Xiqiao Li

In the tasks of image aesthetic quality evaluation, it is difficult to reach both the high score area and low score area due to the normal distribution of aesthetic datasets.

Binary Classification Classification +1

Aesthetic Attributes Assessment of Images

2 code implementations11 Jul 2019 Xin Jin, Le Wu, Geng Zhao, Xiao-Dong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou

This is a new formula of image aesthetic assessment, which predicts aesthetic attributes captions together with the aesthetic score of each attribute.

Attribute Image Captioning +1

Facial Makeup Transfer Combining Illumination Transfer

no code implementations8 Jul 2019 Xin Jin, Rui Han, Ning Ning, Xiao-Dong Li, Xiaokun Zhang

To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software.

Facial Makeup Transfer

ILGNet: Inception Modules with Connected Local and Global Features for Efficient Image Aesthetic Quality Classification using Domain Adaptation

2 code implementations7 Oct 2016 Xin Jin, Le Wu, Xiao-Dong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge, Geng Zhao, Shuying Li

Thus, it is easy to use a pre-trained GoogLeNet for large-scale image classification problem and fine tune our connected layers on an large scale database of aesthetic related images: AVA, i. e. \emph{domain adaptation}.

Domain Adaptation General Classification +2

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