Search Results for author: Yuwei Zhang

Found 22 papers, 9 papers with code

Monocular Localization with Semantics Map for Autonomous Vehicles

no code implementations6 Jun 2024 Jixiang Wan, Xudong Zhang, Shuzhou Dong, Yuwei Zhang, Yuchen Yang, Ruoxi Wu, Ye Jiang, Jijunnan Li, Jinquan Lin, Ming Yang

To balance efficiency and accuracy, we propose a novel lightweight visual semantic localization algorithm that employs stable semantic features instead of low-level texture features.

Autonomous Driving Computational Efficiency +1

Tool-Planner: Dynamic Solution Tree Planning for Large Language Model with Tool Clustering

1 code implementation6 Jun 2024 Yanming Liu, Xinyue Peng, Yuwei Zhang, Jiannan Cao, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

Tool-Planner groups tools based on the API functions with the same function into a toolkit and allows LLMs to implement planning across the various toolkits.

Language Modelling Large Language Model

Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals

no code implementations22 Apr 2024 Qingyang Wu, Ying Xu, Tingsong Xiao, Yunze Xiao, Yitong Li, Tianyang Wang, Yichi Zhang, Shanghai Zhong, Yuwei Zhang, Wei Lu, Yifan Yang

This study conducts a comprehensive review and analysis of the existing literature on the attitudes of LLMs towards the 17 SDGs, emphasizing the comparison between their attitudes and support for each goal and those of humans.

Decision Making

Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders

no code implementations7 Mar 2024 Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour

The triplet task gauges the model's understanding of two semantic concepts paramount in real-world conversational systems-- negation and implicature.

Clustering intent-classification +2

A Closed-loop Brain-Machine Interface SoC Featuring a 0.2$μ$J/class Multiplexer Based Neural Network

no code implementations7 Jan 2024 Chao Zhang, Yongxiang Guo, Dawid Sheng, Zhixiong Ma, Chao Sun, Yuwei Zhang, Wenxin Zhao, Fenyan Zhang, Tongfei Wang, Xing Sheng, Milin Zhang

This work presents the first fabricated electrophysiology-optogenetic closed-loop bidirectional brain-machine interface (CL-BBMI) system-on-chip (SoC) with electrical neural signal recording, on-chip sleep staging and optogenetic stimulation.

Sleep Staging

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation

1 code implementation14 Jul 2023 Letian Peng, Yuwei Zhang, Jingbo Shang

Prompting large language models (LLMs) for data augmentation has recently become a common practice in few-shot NLP tasks.

Aspect-Based Sentiment Analysis Attribute +9

ClusterLLM: Large Language Models as a Guide for Text Clustering

1 code implementation24 May 2023 Yuwei Zhang, Zihan Wang, Jingbo Shang

First, we prompt ChatGPT for insights on clustering perspective by constructing hard triplet questions <does A better correspond to B than C>, where A, B and C are similar data points that belong to different clusters according to small embedder.

Clustering Language Modelling +2

Toward Unsupervised Realistic Visual Question Answering

no code implementations ICCV 2023 Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

To resolve the first drawback, we propose a new testing dataset, RGQA, which combines AQs from an existing VQA dataset with around 29K human-annotated UQs.

Question Answering Visual Question Answering

Measurement of carbon finance level and exploration of its influencing factors

no code implementations1 Jun 2022 Peng Zhang, Yuwei Zhang, Nuo Xu

Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.

New Intent Discovery with Pre-training and Contrastive Learning

1 code implementation ACL 2022 Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.

Clustering Contrastive Learning +3

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

no code implementations31 May 2021 Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.

Denoising

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

1 code implementation6 May 2021 Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

Here, we present a single approach to both of these problems in the form of "KuraNet", a deep-learning-based system of coupled oscillators that can learn to synchronize across a distribution of disordered network conditions.

Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition

no code implementations CVPR 2020 Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang

We also find that texture features have an impelling effect on these tasks and that the pre-trained ImageNet model has good performance in extracting texture features.

Attribute Classification +1

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

1 code implementation18 Feb 2020 Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz

To address this, we developed an analysis pipeline that segments nuclei in whole slide tissue images from multiple cancer types with a quality control process.

Segmentation

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