Search Results for author: Bo Huang

Found 33 papers, 10 papers with code

HUB@DravidianLangTech-EACL2021: Identify and Classify Offensive Text in Multilingual Code Mixing in Social Media

no code implementations EACL (DravidianLangTech) 2021 Bo Huang, Yang Bai

Among the known tasks related to offensive speech detection, this is the first task to detect offensive comments posted in social media comments in the Dravidian language.

Classification Language Identification

MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

no code implementations22 Jan 2024 Shenwang Jiang, Jianan Li, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, Tingfa Xu

Noisy labels, inevitably existing in pseudo segmentation labels generated from weak object-level annotations, severely hampers model optimization for semantic segmentation.

Meta-Learning Model Optimization +2

Dataset Distillation via Adversarial Prediction Matching

1 code implementation14 Dec 2023 Mingyang Chen, Bo Huang, Junda Lu, Bing Li, Yi Wang, Minhao Cheng, Wei Wang

This ensures the memory efficiency of our method and provides a flexible tradeoff between time and memory budgets, allowing us to distil ImageNet-1K using a minimum of only 6. 5GB of GPU memory.

SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints

1 code implementation5 Dec 2023 Xianping Ma, Qianqian Wu, Xingyu Zhao, Xiaokang Zhang, Man-on Pun, Bo Huang

Furthermore, the boundary loss capitalizes on the distinctive features of SGB by directing the model's attention to the boundary information of the object.

Model Optimization Novel Concepts +4

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation

no code implementations4 Dec 2023 Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong

To help merchants/customers to provide/access a variety of services through miniapps, online service platforms have occupied a critical position in the effective content delivery, in which how to recommend items in the new domain launched by the service provider for customers has become more urgent.

Recommendation Systems

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework

no code implementations23 Nov 2023 Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi

In this paper, we highlight that both conformity and risk preference matter in making fund investment decisions beyond personal interest and seek to jointly characterize these aspects in a disentangled manner.

UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs

1 code implementation11 Sep 2023 Yide Qiu, Shaoxiang Ling, Tong Zhang, Bo Huang, Zhen Cui

To perform effective learning on the large-scale UniKG, two key measures are taken, including (i) the semantic alignment strategy for multi-attribute entities, which projects the feature description of multi-attribute nodes into a common embedding space to facilitate node aggregation in a large receptive field; (ii) proposing a novel plug-and-play anisotropy propagation module (APM) to learn effective multi-hop anisotropy propagation kernels, which extends methods of large-scale homogeneous graphs to heterogeneous graphs.

Attribute Graph Learning +3

Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation

1 code implementation CVPR 2023 Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang

Thus, recent studies concern about adversarial distillation (AD) that aims to inherit not only prediction accuracy but also adversarial robustness of a robust teacher model under the paradigm of robust optimization.

Adversarial Robustness Knowledge Distillation

Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method

1 code implementation CVPR 2022 Lai Jiang, Yifei Li, Shengxi Li, Mai Xu, Se Lei, Yichen Guo, Bo Huang

E-commerce images are playing a central role in attracting people's attention when retailing and shopping online, and an accurate attention prediction is of significant importance for both customers and retailers, where its research is yet to start.

Multi-Task Learning Saliency Prediction +1

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

1 code implementation30 Dec 2021 Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu

In practice, however, biased samples with corrupted labels and of tailed classes commonly co-exist in training data.

Attribute Meta-Learning

hub at SemEval-2021 Task 1: Fusion of Sentence and Word Frequency to Predict Lexical Complexity

no code implementations SEMEVAL 2021 Bo Huang, Yang Bai, Xiaobing Zhou

Use Inception block as a shared layer to learn sentence and word frequency information We described the implementation of our best system and discussed our methods and experiments in the task.

Lexical Complexity Prediction Sentence +1

hub at SemEval-2021 Task 2: Word Meaning Similarity Prediction Model Based on RoBERTa and Word Frequency

no code implementations SEMEVAL 2021 Bo Huang, Yang Bai, Xiaobing Zhou

What we need to do is to use our method to determine as accurately as possible the meaning of the words in a sentence pair are the same or different.

Binary Classification Sentence +1

hub at SemEval-2021 Task 5: Toxic Span Detection Based on Word-Level Classification

no code implementations SEMEVAL 2021 Bo Huang, Yang Bai, Xiaobing Zhou

This article introduces the system description of the hub team, which explains the related work and experimental results of our team{'}s participation in SemEval 2021 Task 5: Toxic Spans Detection.

Toxic Spans Detection

hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense

no code implementations SEMEVAL 2021 Bo Huang, Yang Bai

The final scores of the prediction results of the two subtask test sets submitted by our team are task1a 0. 921 (F1), task1a 0. 9364 (Accuracy), task1b 0. 6288 (RMSE), task1c 0. 5333 (F1), task1c 0. 0. 5591 (Accuracy), and task2 0. 5027 (RMSE) respectively.

Humor Detection regression +3

WeiPS: a symmetric fusion model framework for large-scale online learning

no code implementations24 Nov 2020 Xiang Yu, Fuping Chu, Junqi Wu, Bo Huang

The recommendation system is an important commercial application of machine learning, where billions of feed views in the information flow every day.

Reimagining City Configuration: Automated Urban Planning via Adversarial Learning

no code implementations22 Aug 2020 Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu

The objective is then to propose an adversarial learning framework that can automatically generate such tensor for an unplanned area.

An Inter- and Intra-Band Loss for Pansharpening Convolutional Neural Networks

no code implementations12 Aug 2020 Jiajun Cai, Bo Huang

Pansharpening aims to fuse panchromatic and multispectral images from the satellite to generate images with both high spatial and spectral resolution.

Pansharpening

UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks

no code implementations6 Aug 2020 Bo Huang, Ye Bi, Zhen-Yu Wu, Jianming Wang, Jing Xiao

The problem of session-based recommendation aims to predict user next actions based on session histories.

Session-Based Recommendations

Multiform Fonts-to-Fonts Translation via Style and Content Disentangled Representations of Chinese Character

no code implementations28 Mar 2020 Fenxi Xiao, Jie Zhang, Bo Huang, Xia Wu

The main purpose of this paper is to design a network framework that can extract and recombine the content and style of the characters.

Style Transfer Translation

Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm

no code implementations16 Mar 2020 Cankun Qiu, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang

Due to the non-unique relationship between physical structures and optical responses, we first train a forward neural network, and then it is applied to the inverse design of multilayer nanoparticles.

u-net CNN based fourier ptychography

no code implementations16 Mar 2020 Yican Chen, Zhi Luo, Xia Wu, Huidong Yang, Bo Huang

Fourier ptychography is a recently explored imaging method for overcoming the diffraction limit of conventional cameras with applications in microscopy and yielding high-resolution images.

Retrieval

Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos

no code implementations22 Aug 2019 Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu

Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF.

General Classification

Asking the Crowd: Question Analysis, Evaluation and Generation for Open Discussion on Online Forums

1 code implementation ACL 2019 Zi Chai, Xinyu Xing, Xiaojun Wan, Bo Huang

For openQG task, we construct OQGenD, the first dataset as far as we know, and propose a model based on conditional generative adversarial networks and our question evaluation model.

Text Generation

A New Method of Region Embedding for Text Classification

1 code implementation ICLR 2018 chao qiao, Bo Huang, guocheng niu, daren li, daxiang dong, wei he, dianhai yu, Hua Wu

In this paper, we propose a new method of learning and utilizing task-specific distributed representations of n-grams, referred to as “region embeddings”.

General Classification text-classification +1

Towards End-to-End Face Recognition through Alignment Learning

no code implementations25 Jan 2017 Yuanyi Zhong, Jiansheng Chen, Bo Huang

Although these methods differ essentially in many aspects, a common practice of them is to specifically align the facial area based on the prior knowledge of human face structure before feature extraction.

Face Alignment Face Recognition

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery

no code implementations22 Jul 2013 Cun Mu, Bo Huang, John Wright, Donald Goldfarb

The most popular convex relaxation of this problem minimizes the sum of the nuclear norms of the unfoldings of the tensor.

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