Search Results for author: Yue Li

Found 54 papers, 19 papers with code

Revisiting Rumour Stance Classification: Dealing with Imbalanced Data

no code implementations RDSM (COLING) 2020 Yue Li, Carolina Scarton

Correctly classifying stances of replies can be significantly helpful for the automatic detection and classification of online rumours.

Classification Rumour Detection +1

Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification

no code implementations ACL (MetaNLP) 2021 Yue Li, Jiong Zhang

The semi-supervised meta training approach avoids overfitting prototypical networks on a small number of labeled training examples and quickly learns cross-domain task-specific representation only from a few supporting examples.

Cross-Domain Few-Shot intent-classification +3

GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis

no code implementations15 Jul 2024 Weizhi Liu, Yue Li, Dongdong Lin, Hui Tian, Haizhou Li

Thus, this paper, as a pioneer, proposes the generative robust audio watermarking method (Groot), presenting a paradigm for proactively supervising the synthesized audio and its source diffusion models.

Audio Synthesis Decoder +2

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

1 code implementation28 Jun 2024 Haiyang Shen, Yue Li, Desong Meng, Dongqi Cai, Sheng Qi, Li Zhang, Mengwei Xu, Yun Ma

\textsc{ShortcutsBench} includes a wealth of real APIs from Apple Inc.'s operating systems, refined user queries from shortcuts, human-annotated high-quality action sequences from shortcut developers, and accurate parameter filling values about primitive parameter types, enum parameter types, outputs from previous actions, and parameters that need to request necessary information from the system or user.

SCDNet: Self-supervised Learning Feature-based Speaker Change Detection

no code implementations12 Jun 2024 Yue Li, Xinsheng Wang, Li Zhang, Lei Xie

Furthermore, a contrastive learning method is proposed to mitigate the overfitting tendencies in the training of both the fine-tuning-based method and SCDNet.

Change Detection Contrastive Learning +1

Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method

1 code implementation16 May 2024 Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong

Hierarchical leaf vein segmentation is a crucial but under-explored task in agricultural sciences, where analysis of the hierarchical structure of plant leaf venation can contribute to plant breeding.


GAD-Generative Learning for HD Map-Free Autonomous Driving

no code implementations1 May 2024 Weijian Sun, Yanbo Jia, Qi Zeng, Zihao Liu, Jiang Liao, Yue Li, Xianfeng Li

Deep-learning-based techniques have been widely adopted for autonomous driving software stacks for mass production in recent years, focusing primarily on perception modules, with some work extending this method to prediction modules.

Autonomous Driving Model Predictive Control +1

TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation

1 code implementation29 Apr 2024 Junhao Cheng, Baiqiao Yin, Kaixin Cai, Minbin Huang, Hanhui Li, Yuxin He, Xi Lu, Yue Li, Yifei Li, Yuhao Cheng, Yiqiang Yan, Xiaodan Liang

To address this issue, we introduce TheaterGen, a training-free framework that integrates large language models (LLMs) and text-to-image (T2I) models to provide the capability of multi-turn image generation.

Denoising Image Generation +2

SFMViT: SlowFast Meet ViT in Chaotic World

1 code implementation25 Apr 2024 Jiaying Lin, Jiajun Wen, Mengyuan Liu, Jinfu Liu, Baiqiao Yin, Yue Li

The task of spatiotemporal action localization in chaotic scenes is a challenging task toward advanced video understanding.

Action Localization Video Understanding

RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model

no code implementations23 Apr 2024 Peiwen Li, Xin Wang, Zeyang Zhang, Yuan Meng, Fang Shen, Yue Li, Jialong Wang, Yang Li, Wenweu Zhu

In the field of Artificial Intelligence for Information Technology Operations, causal discovery is pivotal for operation and maintenance of graph construction, facilitating downstream industrial tasks such as root cause analysis.

Causal Discovery graph construction +2

Event-assisted Low-Light Video Object Segmentation

1 code implementation CVPR 2024 Hebei Li, Jin Wang, Jiahui Yuan, Yue Li, Wenming Weng, Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun

In the realm of video object segmentation (VOS), the challenge of operating under low-light conditions persists, resulting in notably degraded image quality and compromised accuracy when comparing query and memory frames for similarity computation.

Object Semantic Segmentation +2

A Neural-network Enhanced Video Coding Framework beyond ECM

no code implementations13 Feb 2024 Yanchen Zhao, Wenxuan He, Chuanmin Jia, Qizhe Wang, Junru Li, Yue Li, Chaoyi Lin, Kai Zhang, Li Zhang, Siwei Ma

In this paper, a hybrid video compression framework is proposed that serves as a demonstrative showcase of deep learning-based approaches extending beyond the confines of traditional coding methodologies.

Video Compression

ICMC-ASR: The ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition Challenge

no code implementations7 Jan 2024 He Wang, Pengcheng Guo, Yue Li, Ao Zhang, Jiayao Sun, Lei Xie, Wei Chen, Pan Zhou, Hui Bu, Xin Xu, BinBin Zhang, Zhuo Chen, Jian Wu, Longbiao Wang, Eng Siong Chng, Sun Li

To promote speech processing and recognition research in driving scenarios, we build on the success of the Intelligent Cockpit Speech Recognition Challenge (ICSRC) held at ISCSLP 2022 and launch the ICASSP 2024 In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) Challenge.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting

no code implementations6 Dec 2023 Vladimir Yugay, Yue Li, Theo Gevers, Martin R. Oswald

We present a dense simultaneous localization and mapping (SLAM) method that uses 3D Gaussians as a scene representation.

Simultaneous Localization and Mapping

Extrapolatable Transformer Pre-training for Ultra Long Time-Series Forecasting

no code implementations29 Nov 2023 Ziyang Song, Qincheng Lu, Hao Xu, David L. Buckeridge, Yue Li

This underscores the limitations of the existing transformer-based architectures, particularly their scalability to handle large-scale data and ability to capture long-term temporal dependencies.

Time Series Time Series Forecasting +1

Don't Waste a Single Annotation: Improving Single-Label Classifiers Through Soft Labels

no code implementations9 Nov 2023 Ben Wu, Yue Li, Yida Mu, Carolina Scarton, Kalina Bontcheva, Xingyi Song

In this paper, we address the limitations of the common data annotation and training methods for objective single-label classification tasks.

DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading

1 code implementation23 Oct 2023 Hao Wang, Qingxuan Wang, Yue Li, Changqing Wang, Chenhui Chu, Rui Wang

The use of visually-rich documents (VRDs) in various fields has created a demand for Document AI models that can read and comprehend documents like humans, which requires the overcoming of technical, linguistic, and cognitive barriers.

document understanding Reading Comprehension

Multiple Satellites Collaboration for Joint Code-aided CFOs and CPOs Estimation

no code implementations22 Sep 2023 Pingyue Yue, Yixuan Li, Yue Li, Rui Zhang, Shuai Wang, Jianping An

Low Earth Orbit (LEO) satellites are being extensively researched in the development of secure Internet of Remote Things (IoRT).

Neural Metamaterial Networks for Nonlinear Material Design

no code implementations15 Sep 2023 Yue Li, Stelian Coros, Bernhard Thomaszewski

Nonlinear metamaterials with tailored mechanical properties have applications in engineering, medicine, robotics, and beyond.

Designs and Implementations in Neural Network-based Video Coding

no code implementations11 Sep 2023 Yue Li, Junru Li, Chaoyi Lin, Kai Zhang, Li Zhang, Franck Galpin, Thierry Dumas, Hongtao Wang, Muhammed Coban, Jacob Ström, Du Liu, Kenneth Andersson

The past decade has witnessed the huge success of deep learning in well-known artificial intelligence applications such as face recognition, autonomous driving, and large language model like ChatGPT.

Autonomous Driving Face Recognition +3

Point-SLAM: Dense Neural Point Cloud-based SLAM

2 code implementations ICCV 2023 Erik Sandström, Yue Li, Luc van Gool, Martin R. Oswald

We propose a dense neural simultaneous localization and mapping (SLAM) approach for monocular RGBD input which anchors the features of a neural scene representation in a point cloud that is iteratively generated in an input-dependent data-driven manner.

Simultaneous Localization and Mapping

Can We Identify Stance Without Target Arguments? A Study for Rumour Stance Classification

no code implementations22 Mar 2023 Yue Li, Carolina Scarton

Considering a conversation thread, rumour stance classification aims to identify the opinion (e. g. agree or disagree) of replies towards a target (rumour story).

Classification Sentiment Analysis +1

QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression

6 code implementations10 Mar 2023 Kedeng Tong, Yaojun Wu, Yue Li, Kai Zhang, Li Zhang, Xin Jin

In this paper, we present a Quantization-error-aware Variable Rate Framework (QVRF) that utilizes a univariate quantization regulator a to achieve wide-range variable rates within a single model.

Image Compression Quantization

NLOST: Non-Line-of-Sight Imaging With Transformer

no code implementations CVPR 2023 Yue Li, Jiayong Peng, Juntian Ye, Yueyi Zhang, Feihu Xu, Zhiwei Xiong

Specifically, after extracting the shallow features with the assistance of physics-based priors, we design two spatial-temporal self attention encoders to explore both local and global correlations within 3D NLOS data by splitting or downsampling the features into different scales, respectively.


MSV Challenge 2022: NPU-HC Speaker Verification System for Low-resource Indian Languages

no code implementations30 Nov 2022 Yue Li, Li Zhang, Namin Wang, Jie Liu, Lei Xie

Specifically, the weight transfer fine-tuning aims to constrain the distance of the weights between the pre-trained model and the fine-tuned model, which takes advantage of the previously acquired discriminative ability from the large-scale out-domain datasets and avoids catastrophic forgetting and overfitting at the same time.

Speaker Verification

Hierarchical Reinforcement Learning Based Video Semantic Coding for Segmentation

no code implementations24 Aug 2022 Guangqi Xie, Xin Li, Shiqi Lin, Li Zhang, Kai Zhang, Yue Li, Zhibo Chen

In this paper, we take a step forward to video semantic compression and propose the Hierarchical Reinforcement Learning based task-driven Video Semantic Coding, named as HRLVSC.

Hierarchical Reinforcement Learning reinforcement-learning +4

Classifying COVID-19 vaccine narratives

no code implementations18 Jul 2022 Yue Li, Carolina Scarton, Xingyi Song, Kalina Bontcheva

This paper addresses the need for monitoring and analysing vaccine narratives online by introducing a novel vaccine narrative classification task, which categorises COVID-19 vaccine claims into one of seven categories.

Data Augmentation

Minimum $\ell_{1}$-norm interpolators: Precise asymptotics and multiple descent

no code implementations18 Oct 2021 Yue Li, Yuting Wei

An evolving line of machine learning works observe empirical evidence that suggests interpolating estimators -- the ones that achieve zero training error -- may not necessarily be harmful.

Supervised multi-specialist topic model with applications on large-scale electronic health record data

1 code implementation4 May 2021 Ziyang Song, Xavier Sumba Toral, Yixin Xu, Aihua Liu, Liming Guo, Guido Powell, Aman Verma, David Buckeridge, Ariane Marelli, Yue Li

Motivation: Electronic health record (EHR) data provides a new venue to elucidate disease comorbidities and latent phenotypes for precision medicine.

Variational Inference

Transparent Checkpointing for OpenGL Applications on GPUs

no code implementations8 Mar 2021 David Hou, Jun Gan, Yue Li, Younes El Idrissi Yazami, Twinkle Jain

This work presents transparent checkpointing of OpenGL applications, refining the split-process technique[1] for application in GPU-based 3D graphics.

Distributed, Parallel, and Cluster Computing D.4.5

NTopo: Mesh-free Topology Optimization using Implicit Neural Representations

1 code implementation NeurIPS 2021 Jonas Zehnder, Yue Li, Stelian Coros, Bernhard Thomaszewski

Recent advances in implicit neural representations show great promise when it comes to generating numerical solutions to partial differential equations.

Self-Supervised Learning

Hierarchical Meta Reinforcement Learning for Multi-Task Environments

1 code implementation1 Jan 2021 Dongyang Zhao, Yue Huang, Changnan Xiao, Yue Li, Shihong Deng

To address the problem brought by the environment, we propose a Meta Soft Hierarchical reinforcement learning framework (MeSH), in which each low-level sub-policy focuses on a specific sub-task respectively and high-level policy automatically learns to utilize low-level sub-policies through meta-gradients.

Hierarchical Reinforcement Learning Meta Reinforcement Learning +2

Spread-Transform Dither Modulation Watermarking of Deep Neural Network

no code implementations28 Dec 2020 Yue Li, Benedetta Tondi, Mauro Barni

DNN watermarking is receiving an increasing attention as a suitable mean to protect the Intellectual Property Rights associated to DNN models.

Randomized tests for high-dimensional regression: A more efficient and powerful solution

no code implementations NeurIPS 2020 Yue Li, Ilmun Kim, Yuting Wei

We investigate the problem of testing the global null in the high-dimensional regression models when the feature dimension $p$ grows proportionally to the number of observations $n$.


Deep Physics-aware Inference of Cloth Deformation for Monocular Human Performance Capture

no code implementations25 Nov 2020 Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt

Recent monocular human performance capture approaches have shown compelling dense tracking results of the full body from a single RGB camera.

Nonvolatile electric control of exciton complex in monolayer MoSe$_2$ with two dimensional ferroelectric CuInP$_2$S$_6$

no code implementations10 Nov 2020 Xiaoyu Mao, Jun Fu, Chen Chen, Yue Li, Heng Liu, Ming Gong, Hualing Zeng

With the saturated ferroelectric polarization of CIPS, electron-doped or hole-doped MoSe$_2$ is realized in a single device with a large carrier density tunability up to $5\times 10^{12}$cm$^{-2}$.

Materials Science

Lagrangian-Eulerian Multi-Density Topology Optimization with the Material Point Method

2 code implementations2 Mar 2020 Yue Li, Xuan Li, Minchen Li, Yixin Zhu, Bo Zhu, Chenfanfu Jiang

A quadrature-level connectivity graph-based method is adopted to avoid the artificial checkerboard issues commonly existing in multi-resolution topology optimization methods.

Computational Physics Computational Engineering, Finance, and Science Graphics

Deep Learning-Based Video Coding: A Review and A Case Study

1 code implementation29 Apr 2019 Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu

For deep schemes, pixel probability modeling and auto-encoder are the two approaches, that can be viewed as predictive coding scheme and transform coding scheme, respectively.

Multimedia Image and Video Processing

Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images

no code implementations12 Apr 2019 Sheng-Yong Niu, Lun-Zhang Guo, Yue Li, Tzung-Dau Wang, Yu Tsao, Tzu-Ming Liu

As the rapid growth of high-speed and deep-tissue imaging in biomedical research, it is urgent to find a robust and effective denoising method to retain morphological features for further texture analysis and segmentation.

Denoising Texture Classification

A latent topic model for mining heterogenous non-randomly missing electronic health records data

no code implementations1 Nov 2018 Yue Li, Manolis Kellis

Electronic health records (EHR) are rich heterogeneous collection of patient health information, whose broad adoption provides great opportunities for systematic health data mining.

Collaborative Filtering Topic Models

Towards Coinductive Theory Exploration in Horn Clause Logic: Position Paper

no code implementations13 Sep 2018 Ekaterina Komendantskaya Dr, Yue Li

Coinduction occurs in two guises in Horn clause logic: in proofs of self-referencing properties and relations, and in proofs involving construction of (possibly irregular) infinite data.


Convolutional Neural Network-Based Block Up-sampling for Intra Frame Coding

no code implementations22 Feb 2017 Yue Li, Dong Liu, Houqiang Li, Li Li, Feng Wu, Hong Zhang, Haitao Yang

A block can be down-sampled before being compressed by normal intra coding, and then up-sampled to its original resolution.


Unsupervised Learning in Genome Informatics

no code implementations3 Aug 2015 Ka-Chun Wong, Yue Li, Zhaolei Zhang

Here we review several unsupervised learning methods for deciphering the genome-wide patterns of those DNA regions.

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