Search Results for author: Haitao Wang

Found 19 papers, 5 papers with code

A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support

no code implementations24 Dec 2024 Xingyu Xiao, Peng Chen, Ben Qi, Jingang Liang, Jiejuan Tong, Haitao Wang

As climate change and other global challenges increase the likelihood of unforeseen emergencies, the limitations of human-driven strategies in critical situations become more pronounced.

Decision Making

Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis

no code implementations29 Nov 2024 Ruoqi Wang, Haitao Wang, Qiong Luo

Specifically, our method extends a contrastive learning architecture to align three types of data in fine-tuning: (1) a set of schematic symbols representing galaxy shapes and structures, (2) textual labels of these symbols, and (3) galaxy images.

Contrastive Learning

Standard Gaussian Process Can Be Excellent for High-Dimensional Bayesian Optimization

1 code implementation5 Feb 2024 Zhitong Xu, Haitao Wang, Jeff M Phillips, Shandian Zhe

Second, our theoretical analysis reveals that the SE kernels failure primarily stems from improper initialization of the length-scale parameters, which are commonly used in practice but can cause gradient vanishing in training.

Bayesian Optimization Gaussian Processes

ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation

no code implementations28 Nov 2023 Junyan Qiu, Haitao Wang, Zhaolin Hong, Yiping Yang, Qiang Liu, Xingxing Wang

The successful integration of large language models (LLMs) into recommendation systems has proven to be a major breakthrough in recent studies, paving the way for more generic and transferable recommendations.

Contrastive Learning Language Modeling +2

AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes

no code implementations14 Aug 2023 Zhaohui Li, Haitao Wang, Xinghua Jiang

In our experiments, we treat discrete acoustic codes as textual data and train a masked language model using a cloze-like methodology, ultimately deriving high-quality audio representations.

Audio Classification Language Modeling +2

MSMix:An Interpolation-Based Text Data Augmentation Method Manifold Swap Mixup

no code implementations31 May 2023 Mao Ye, Haitao Wang, Zheqian Chen

To solve the problem of poor performance of deep neural network models due to insufficient data, a simple yet effective interpolation-based data augmentation method is proposed: MSMix (Manifold Swap Mixup).

Data Augmentation Intent Detection

Statistical Dataset Evaluation: Reliability, Difficulty, and Validity

no code implementations19 Dec 2022 Chengwen Wang, Qingxiu Dong, Xiaochen Wang, Haitao Wang, Zhifang Sui

Taking the Named Entity Recognition (NER) datasets as a case study, we introduce $9$ statistical metrics for a statistical dataset evaluation framework.

named-entity-recognition Named Entity Recognition +1

AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data

no code implementations28 Aug 2021 Ruoqi Wang, Ziwang Huang, Haitao Wang, Hejun Wu

Different from previous works, AMMASurv can effectively utilize the intrinsic information within every modality and flexibly adapts to the modalities of different importance.

Survival Analysis Survival Prediction +1

Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction

1 code implementation COLING 2020 Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei zhang, Min Zhang

The experimental results show that the ranking lists of the comparison systems on the DS-labelled test data and human-annotated test data are different.

Relation Relation Extraction

CCKS 2019 Shared Task on Inter-Personal Relationship Extraction

1 code implementation29 Aug 2019 Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang

In this paper, we present the task definition, the description of data and the evaluation methodology used during this shared task.

Sentence

Segment-Tree Based Cost Aggregation for Stereo Matching

no code implementations CVPR 2013 Xing Mei, Xun Sun, Wei-Ming Dong, Haitao Wang, Xiaopeng Zhang

Instead of employing the minimum spanning tree (MST) and its variants, a new tree structure, "Segment-Tree", is proposed for non-local matching cost aggregation.

Scene Segmentation Stereo Matching +1

Matroid and Knapsack Center Problems

1 code implementation4 Jan 2013 Danny Z. Chen, Jian Li, Hongyu Liang, Haitao Wang

We also consider the outlier version of the problem where a given number of vertices can be excluded as the outliers from the solution.

Data Structures and Algorithms Discrete Mathematics

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