1 code implementation • 4 Apr 2024 • Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
Large language models (LLMs) have fueled many intelligent agent tasks, such as web navigation -- but most existing agents perform far from satisfying in real-world webpages due to three factors: (1) the versatility of actions on webpages, (2) HTML text exceeding model processing capacity, and (3) the complexity of decision-making due to the open-domain nature of web.
no code implementations • 16 Mar 2024 • Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He
At the local level, the WSI sequence is divided into multiple subsequences.
1 code implementation • 12 Mar 2024 • Jiawen Li, Yuxuan Chen, Hongbo Chu, Qiehe Sun, Tian Guan, Anjia Han, Yonghong He
Histopathological whole slide images (WSIs) classification has become a foundation task in medical microscopic imaging processing.
no code implementations • 12 Jul 2023 • Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, Honggang Zhang
Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed communication and computing resources.
no code implementations • 20 Apr 2023 • Feng Guo, Zheng Sun, Yuxuan Chen, Lei Ju
In this work, we propose a novel method to infer the adversary intent and discover audio adversarial examples based on the AEs generation process.
no code implementations • 18 Apr 2023 • Feng Guo, Zheng Sun, Yuxuan Chen, Lei Ju
In this work, we explore the potential factors that impact adversarial examples (AEs) transferability in DL-based speech recognition.
no code implementations • 17 Apr 2023 • Yuxuan Chen, Jing Sun, Boqi Meng
However, due to the frequent occurrence of full current passing through the current transformer during use, its secondary winding has relatively more turns.
no code implementations • 30 Nov 2022 • Yuxuan Chen, Timothy D. Barfoot
Visual localization is the task of estimating camera pose in a known scene, which is an essential problem in robotics and computer vision.
1 code implementation • 25 Oct 2022 • Yuxuan Chen, David Harbecke, Leonhard Hennig
Prompting pre-trained language models has achieved impressive performance on various NLP tasks, especially in low data regimes.
1 code implementation • CVPR 2022 • Salar Hosseini Khorasgani, Yuxuan Chen, Florian Shkurti
One of the key reasons for this is that sampling pairs of similar video clips, a required step for many self-supervised contrastive learning methods, is currently done conservatively to avoid false positives.
Ranked #1 on Self-Supervised Action Recognition on UCF101 (Pre-Training Dataset metric)
1 code implementation • nlppower (ACL) 2022 • David Harbecke, Yuxuan Chen, Leonhard Hennig, Christoph Alt
Relation classification models are conventionally evaluated using only a single measure, e. g., micro-F1, macro-F1 or AUC.
1 code implementation • RepL4NLP (ACL) 2022 • Yuxuan Chen, Jonas Mikkelsen, Arne Binder, Christoph Alt, Leonhard Hennig
Pre-trained language models (PLM) are effective components of few-shot named entity recognition (NER) approaches when augmented with continued pre-training on task-specific out-of-domain data or fine-tuning on in-domain data.
Contrastive Learning Low Resource Named Entity Recognition +4
1 code implementation • NeurIPS 2021 • Lingshen He, Yuxuan Chen, Zhengyang Shen, Yiming Dong, Yisen Wang, Zhouchen Lin
Group equivariant CNNs (G-CNNs) that incorporate more equivariance can significantly improve the performance of conventional CNNs.
no code implementations • 20 Aug 2021 • Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu
In this setting with multiple and constrained goals, this paper discovers that a probabilistic strategic parameter regime can achieve better value compared to the standard regime of finding a single deterministic parameter.
1 code implementation • 20 Jul 2021 • Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
The goal of few-shot classification is to classify new categories with few labeled examples within each class.
no code implementations • 22 Apr 2021 • Yuxuan Chen, Li Zhang, Shijian Li, Gang Pan
Optimization of deep learning algorithms to approach Nash Equilibrium remains a significant problem in imperfect information games, e. g. StarCraft and poker.
1 code implementation • 19 Mar 2021 • Yuxuan Chen, Jiangshan Zhang, Xuejing Yuan, Shengzhi Zhang, Kai Chen, XiaoFeng Wang, Shanqing Guo
In this paper, we present our systematization of knowledge for ASR security and provide a comprehensive taxonomy for existing work based on a modularized workflow.
no code implementations • 1 Jan 2021 • Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu
Few-shot learning aims to recognize new classes with few annotated instances within each category.
2 code implementations • Findings of the Association for Computational Linguistics 2020 • Alex Henry, Prudhvi Raj Dachapally, Shubham Pawar, Yuxuan Chen
Low-resource language translation is a challenging but socially valuable NLP task.
1 code implementation • ECCV 2020 • Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen
Moreover, our approach enables a novel pipeline which couples the prediction and planning, by conditioning PiP on multiple candidate trajectories of the ego vehicle, which is highly beneficial for autonomous driving in interactive scenarios.
no code implementations • 23 May 2019 • Wookhyun Han, Md Lutfor Rahman, Yuxuan Chen, Chengyu Song, Byoungyoung Lee, Insik Shin
Then it uses oracle-guided program synthesis to reconstruct the symbolic expression based on input-output pairs.
Cryptography and Security
no code implementations • 24 Jan 2018 • Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiao-Feng Wang, Carl A. Gunter
For this purpose, we developed novel techniques that address a key technical challenge: integrating the commands into a song in a way that can be effectively recognized by ASR through the air, in the presence of background noise, while not being detected by a human listener.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1