no code implementations • EMNLP 2020 • Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu
Specifically, we design (1) Head-Tail Detector based on the multi-head self-attention mechanism and bi-affine classifier to detect boundary tokens, and (2) Token Interaction Tagger based on traditional sequence labeling approaches to characterize the internal token connection within the boundary.
no code implementations • 27 Feb 2024 • Yun Li, Zhe Liu, Hang Chen, Lina Yao
Our framework evaluates the specificity of attributes by considering the diversity of objects they apply to and their related context.
no code implementations • 20 Feb 2024 • Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang
Table-to-Text Generation is a promising solution by facilitating the transformation of hybrid data into a uniformly text-formatted corpus.
no code implementations • 19 Feb 2024 • Weihong Tang, Yun Li, Shalika Walker, Tamas Keviczky
Firstly, for flexibility assessment, a tailored MPC formulation, supplemented by a set of auxiliary linear constraints, is developed to quantitatively assess the flexibility potential inherent in HPTES systems.
no code implementations • 8 Jan 2024 • Yang Liu, Li Wan, Yun Li, Yiteng Huang, Ming Sun, James Luan, Yangyang Shi, Xin Lei
Despite the potential of diffusion models in speech enhancement, their deployment in Acoustic Echo Cancellation (AEC) has been restricted.
no code implementations • 18 Dec 2023 • Yun Li, Neil Yorke-Smith, Tamas Keviczky
Robust Optimal Control (ROC) with adjustable uncertainties has proven to be effective in addressing critical challenges within modern energy networks, especially the reserve and provision problem.
no code implementations • 8 Dec 2023 • Yun Li, Neil Yorke-Smith, Tamas Keviczky
In a first step, a robust optimization model is formulated for assessing the energy flexibility of buildings in the presence of uncertain predictions of external conditions, such as ambient temperature, solar irradiation, etc.
no code implementations • 22 Nov 2023 • Xiao Song, Jiafan Liu, Yun Li, Wenbin Lei, Ruxin Wang
Radiology Report Generation (RRG) draws attention as an interaction between vision and language fields.
no code implementations • 1 Nov 2023 • Hengkui Dong, Xianzhong Long, Yun Li
Contrastive learning predicts whether two images belong to the same category by training a model to make their feature representations as close or as far away as possible.
1 code implementation • 1 Nov 2023 • Xianzhong Long, Chen Peng, Yun Li
In contrastive self-supervised learning, positive samples are typically drawn from the same image but in different augmented views, resulting in a relatively limited source of positive samples.
no code implementations • 24 Oct 2023 • Yun Li, Lin Niu, Xipeng Zhang, Kai Liu, Jianchen Zhu, Zhanhui Kang
Traditional pruning methods are known to be challenging to work in Large Language Models (LLMs) for Generative AI because of their unaffordable training process and large computational demands.
1 code implementation • 28 Jul 2023 • Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua
After feeding the input sentence into the encoder of paraphrase modeling, we generate the substitutes based on a novel decoding strategy that concentrates solely on the lexical variations of the complex word.
no code implementations • 28 Jun 2023 • Weiquan Li, Xianzhong Long, Yun Li
We introduce global and local feature information for self-supervised contrastive learning through multiple networks.
1 code implementation • 16 Jun 2023 • Han Wang, Yi Zhu, Ye Wang, Yun Li, Yunhao Yuan, Jipeng Qiang
Clickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as news portals and social media.
no code implementations • 30 May 2023 • Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Liang Zhao
In this article, we present a comprehensive survey on domain specification techniques for large language models, an emerging direction critical for large language model applications.
no code implementations • 30 May 2023 • Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao
Graph neural networks (GNNs) have emerged as a powerful tool for modeling and understanding data with dependencies to each other such as spatial and temporal dependencies.
no code implementations • 19 May 2023 • Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Miyazaki Jun
We present a lightweight system for stereo matching through embedded GPUs.
1 code implementation • 14 May 2023 • Jipeng Qiang, Kang Liu, Yun Li, Yunhao Yuan, Yi Zhu
Lexical substitution (LS) aims at finding appropriate substitutes for a target word in a sentence.
1 code implementation • 9 May 2023 • Chen Peng, Xianzhong Long, Yun Li
Self-supervised methods based on contrastive learning have achieved great success in unsupervised visual representation learning.
no code implementations • 6 Apr 2023 • Hengkui Dong, Xianzhong Long, Yun Li, Lei Chen
Contrastive learning has emerged as an essential approach for self-supervised learning in visual representation learning.
no code implementations • ICCV 2023 • Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize new compositions of seen attributes and objects.
no code implementations • 25 Feb 2023 • Zhongyi Guo, Keji Han, Yao Ge, Wei Ji, Yun Li
In this paper, AAP is defined as the recognition of three signatures, i. e., {\em attack algorithm}, {\em victim model} and {\em hyperparameter}.
1 code implementation • 23 Feb 2023 • Yutao Feng, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu
Sentence Simplification aims to rephrase complex sentences into simpler sentences while retaining original meaning.
1 code implementation • 22 Feb 2023 • Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu
To promote defense effectiveness, we propose a new mixture of attacks to instantiate PAD to enhance deep neural network-based measurements and malware detectors.
1 code implementation • ICCV 2023 • Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long
However, they are susceptible to adversarial examples, which are generated by adding adversarial perturbations to original data.
no code implementations • 5 Nov 2022 • Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, XiaoJun Wu, Yi Yang
We design Semantic Attention (SA) and generative Knowledge Disentanglement (KD) to learn the dependence of feasibility and contextuality, respectively.
no code implementations • 1 Nov 2022 • Yang Liu, Yangyang Shi, Yun Li, Kaustubh Kalgaonkar, Sriram Srinivasan, Xin Lei
End-to-End deep learning has shown promising results for speech enhancement tasks, such as noise suppression, dereverberation, and speech separation.
no code implementations • 14 Oct 2022 • Liu Yang, Simon X. Yang, Yun Li, Yinzhi Lu, Tan Guo
Traditional machine learning techniques have been widely used to establish the trust management systems.
1 code implementation • 3 Oct 2022 • Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Spatial domain generalization is a spatial extension of domain generalization, which can generalize to unseen spatial domains in continuous 2D space.
no code implementations • 2 Aug 2022 • Liu Yang, Yun Li, Simon X. Yang, Yinzhi Lu, Tan Guo, Keping Yu
Next, the integration of AI and trust management is developed to optimize the intelligence and security.
no code implementations • 3 May 2022 • Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang
With the development of digital technology, machine learning has paved the way for the next generation of tinnitus diagnoses.
no code implementations • 3 May 2022 • Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David Mcalpine
The side-aware unsupervised domain adaptation module adapts the class-irrelevant information as domain variance to a new dataset and excludes the variance to obtain the class-distill features for the new dataset classification.
1 code implementation • 15 Apr 2022 • Jipeng Qiang, Yang Li, Chaowei Zhang, Yun Li, Yunhao Yuan, Yi Zhu, Xindong Wu
Idioms, are a kind of idiomatic expression in Chinese, most of which consist of four Chinese characters.
no code implementations • 23 Feb 2022 • Yi Zhu, Xinke Zhou, Jipeng Qiang, Yun Li, Yunhao Yuan, Xindong Wu
In the short text, the extremely short length, feature sparsity, and high ambiguity pose huge challenges to classification tasks.
no code implementations • 6 Jan 2022 • Yun Li, Zhe Liu, Xiaojun Chang, Julian McAuley, Lina Yao
We further propose a differentiable dataset-level balance and update the weights in a linear annealing schedule to simulate network pruning and thus obtain the optimal structure for BSNet with dataset-level balance achieved.
1 code implementation • 4 Jan 2022 • Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
The design procedure of the proposed scheme consists of two sequential processes: (1) the SL process, in which we first run a simulation with an MPC embedding a low-fidelity battery model to generate a training data set, and then, based on the generated data set, we optimize a DNN-approximated policy using SL algorithms; and (2) the RL process, in which we utilize RL algorithms to improve the performance of the DNN-approximated policy by balancing short-term economic incentives and long-term battery degradation.
no code implementations • CVPR 2022 • Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Yi Zhu, Xiaobo Shen, Jianping Gou
With this framework as a tool, we propose a correlative covariation projection (CCP) method by using an explicit nonlinear mapping.
no code implementations • 5 Dec 2021 • Yun Li, Chen Zhang, Shihao Han, Li Lyna Zhang, Baoqun Yin, Yunxin Liu, Mengwei Xu
Human brains are known to be capable of speeding up visual recognition of repeatedly presented objects through faster memory encoding and accessing procedures on activated neurons.
no code implementations • 1 Dec 2021 • Zhe Liu, Yun Li, Lina Yao, Julian McAuley, Sam Dixon
Our framework outperforms state-of-the-art algorithms on four benchmark datasets in both zero-shot and generalized zero-shot settings, which demonstrates the effectiveness of spiral learning in learning generalizable and complex correlations.
no code implementations • 3 Nov 2021 • Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian McAuley, Xiaojun Chang
Zero-Shot Learning (ZSL) aims to transfer learned knowledge from observed classes to unseen classes via semantic correlations.
1 code implementation • Findings (EMNLP) 2021 • Xinyu Lu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu
The availability of parallel sentence simplification (SS) is scarce for neural SS modelings.
no code implementations • 29 Jun 2021 • Qinyi Lv, Lingtong Min, Congqi Cao, Shigang Zhou, Deyun Zhou, Chengkai Zhu, Yun Li, Zhongbo Zhu, Xiaojun Li, Lixin Ran
In the past decades, continuous Doppler radar sensor-based bio-signal detections have attracted many research interests.
no code implementations • ICML Workshop AML 2021 • Keji Han, Yun Li, Songcan Chen
Many works have demonstrated that deep neural networks (DNNs) are vulnerable to adversarial examples.
no code implementations • 2 Jun 2021 • Ryan Killea, Yun Li, Saeed Bastani, Paul McLachlan
We propose a more efficient deep learning-based encoder architecture for point clouds compression that incorporates principles from established 3D object detection and image compression architectures.
no code implementations • 22 Apr 2021 • Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
The promising strategies for ZSL are to synthesize visual features of unseen classes conditioned on semantic side information and to incorporate meta-learning to eliminate the model's inherent bias towards seen classes.
no code implementations • 3 Mar 2021 • Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
Zero-shot learning (ZSL) refers to the problem of learning to classify instances from the novel classes (unseen) that are absent in the training set (seen).
1 code implementation • RC 2020 • Frank Verhoef, Pieter Bouwman, Yun Li, Rogier van der Weerd
We follow four investigative routes: (i) Replication: we rerun experiments on datasets from the paper in order to replicate the results, and add the results that are missing in the paper; (ii) Code review: we scrutinize the code to validate its correctness; (iii) Evaluation methodology: we extend the set of evaluation metrics used in the paper with the LIME method, in an attempt to resolve inconclusive results; (iv) Generalization to other architectures: we test whether the authorsʼ claims apply to variations of the base model (more complex forms of attention and a BiLSTM encoder).
no code implementations • 12 Jan 2021 • Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
The shortage of annotated medical images is one of the biggest challenges in the field of medical image computing.
1 code implementation • 14 Oct 2020 • Jipeng Qiang, Xinyu Lu, Yun Li, Yunhao Yuan, Yang Shi, Xindong Wu
Lexical simplification has attracted much attention in many languages, which is the process of replacing complex words in a given sentence with simpler alternatives of equivalent meaning.
no code implementations • 11 Oct 2020 • Keji Han, Yun Li, Xianzhong Long, Yao Ge
Many works demonstrate that deep learning system is vulnerable to adversarial attack.
no code implementations • 4 Jul 2020 • Yun Li, Zechun Liu, Weiqun Wu, Haotian Yao, Xiangyu Zhang, Chi Zhang, Baoqun Yin
In this paper, a simple yet effective network pruning framework is proposed to simultaneously address the problems of pruning indicator, pruning ratio, and efficiency constraint.
1 code implementation • 25 Jun 2020 • Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning, to simplify the sentence.
no code implementations • 12 May 2020 • Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
Conventional multi-view clustering methods seek for a view consensus through minimizing the pairwise discrepancy between the consensus and subviews.
3 code implementations • 14 Jul 2019 • Jipeng Qiang, Yun Li, Yi Zhu, Yunhao Yuan, Xindong Wu
Lexical simplification (LS) aims to replace complex words in a given sentence with their simpler alternatives of equivalent meaning.
no code implementations • 19 Jun 2019 • Yan Liu, Yun Li, Yunhao Yuan, Jipeng Qiang
Whether it is computer vision, natural language processing or speech recognition, the essence of these applications is to obtain powerful feature representations that make downstream applications completion more efficient.
1 code implementation • 7 Aug 2018 • Jipeng Qiang, Yun Li, Yunhao Yuan, Wei Liu, Xindong Wu
Along with the emergence and popularity of social communications on the Internet, topic discovery from short texts becomes fundamental to many applications that require semantic understanding of textual content.
Information Retrieval
no code implementations • 1 May 2018 • Patricia R. Barbosa, Yugandhar Sarkale, Edwin K. P. Chong, Yun Li, Sofia Suvorova, Bill Moran
We investigate the challenging problem of integrating detection, signal processing, target tracking, and adaptive waveform scheduling with lookahead in urban terrain.
Signal Processing Systems and Control
no code implementations • 24 Oct 2017 • Wei Chen, YingYing Cao, Shi Cheng, Yifei Sun, Qunfeng Liu, Yun Li
Through modeling human's brainstorming process, the brain storm optimization (BSO) algorithm has become a promising population-based evolutionary algorithm.
3 code implementations • 2 Nov 2016 • Alex Zucca, Yun Li, Levon Pogosian
We use the publicly released SPT B-mode polarization spectrum, along with the temperature and polarization data from the Planck satellite, to derive constraints on the magnitude, the spectral index and the energy scale at which the PMF was generated.
Cosmology and Nongalactic Astrophysics
no code implementations • 9 Mar 2015 • Aswin C. Sankaranarayanan, Lina Xu, Christoph Studer, Yun Li, Kevin Kelly, Richard G. Baraniuk
In this paper, we propose the CS multi-scale video (CS-MUVI) sensing and recovery framework for high-quality video acquisition and recovery using SMCs.