no code implementations • 22 Feb 2024 • Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
Uncertainty estimation plays a pivotal role in ensuring the reliability of safety-critical human-AI interaction systems, particularly in the medical domain.
no code implementations • 22 Jan 2024 • Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang
This paper introduces INCPrompt, an innovative continual learning solution that effectively addresses catastrophic forgetting.
no code implementations • 22 Jan 2024 • Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang
Catastrophic forgetting poses a substantial challenge for managing intelligent agents controlled by a large model, causing performance degradation when these agents face new tasks.
no code implementations • 26 Dec 2023 • Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang
In this paper, we investigate the retrieval-augmented generation (RAG) based on Knowledge Graphs (KGs) to improve the accuracy and reliability of Large Language Models (LLMs).
1 code implementation • IEEE Transactions on Big Data 2023 • Xovee Xu, Zhiyuan Wang, Qiang Gao, Ting Zhong, Bei Hui, Fan Zhou, Goce Trajcevski
Fine-grained urban flow inference (FUFI) problem aims to infer the fine-grained flow maps from coarse-grained ones, benefiting various smart-city applications by reducing electricity, maintenance, and operation costs.
Ranked #1 on Fine-Grained Urban Flow Inference on TaxiBJ-P4
no code implementations • 22 Nov 2023 • Zeliang Zhang, Zhuo Liu, Susan Liang, Zhiyuan Wang, Yifan Zhu, Chen Ding, Chenliang Xu
However, the application of tensor decomposition is largely hindered by the exponential increment of the computational complexity and storage consumption with the size of tensors.
no code implementations • 4 Oct 2023 • Hongxin Ding, Peinie Zou, Zhiyuan Wang, Junfeng Zhao, Yasha Wang, Qiang Zhou
Extracting medical knowledge from healthcare texts enhances downstream tasks like medical knowledge graph construction and clinical decision-making.
1 code implementation • 29 Jul 2023 • Zhipeng Sun, Yang Xu, Hongli Xu, Zhiyuan Wang, Yunming Liao
Federated Learning (FL) has emerged to allow multiple clients to collaboratively train machine learning models on their private data.
no code implementations • 12 Jul 2023 • Yipeng Leng, Qiangjuan Huang, Zhiyuan Wang, Yangyang Liu, Haoyu Zhang
To further explore the latent space of Diff-AE and achieve a generic editing pipeline, we proposed a module called Group-supervised AutoEncoder(dubbed GAE) for Diff-AE to achieve better disentanglement on the latent code.
no code implementations • 4 Jul 2023 • Kaihui Cheng, Chule Yang, Xiao Liu, Naiyang Guan, Zhiyuan Wang
Few-shot classification aims to adapt to new tasks with limited labeled examples.
no code implementations • 28 May 2023 • Jin Sun, Xiaoshuang Shi, Zhiyuan Wang, Kaidi Xu, Heng Tao Shen, Xiaofeng Zhu
Then, we build a pure-MLP architecture called Caterpillar by replacing the convolutional layer with the SPC module in a hybrid model of sMLPNet.
2 code implementations • 20 Apr 2023 • Zhiyuan Wang, Zeliang Zhang, Siyuan Liang, Xiaosen Wang
Incorporated into the input transformation-based attacks, DHF generates more transferable adversarial examples and outperforms the baselines with a clear margin when attacking several defense models, showing its generalization to various attacks and high effectiveness for boosting transferability.
no code implementations • 19 Apr 2023 • Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
To address this concern, in Study 1, we collected linguistic data from N=35 high socially anxious participants in a variety of social contexts, finding that digital linguistic biomarkers significantly differ between evaluative vs. non-evaluative social contexts and between individuals having different trait psychological symptoms, suggesting the likely importance of personalized approaches to detect state anxiety.
no code implementations • 17 Feb 2023 • Zeliang Zhang, Jinyang Jiang, Minjie Chen, Zhiyuan Wang, Yijie Peng, Zhaofei Yu
Noise injection-based method has been shown to be able to improve the robustness of artificial neural networks in previous work.
no code implementations • 19 Dec 2022 • Zhida Jiang, Yang Xu, Hongli Xu, Zhiyuan Wang, Chen Qian
Federated learning (FL) allows multiple clients cooperatively train models without disclosing local data.
no code implementations • 3 Aug 2022 • Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Zhiyuan Wang, Guang Kou
Various methods, such as domain randomization, have been proposed to deal with such situations by training agents under different environmental setups, and therefore they can be generalized to different environments during deployment.
1 code implementation • 29 Mar 2022 • Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on.
no code implementations • 29 Dec 2021 • Zhiyuan Wang, Lin Gao, Jianwei Huang
Multi-arm bandit (MAB) is a classic online learning framework that studies the sequential decision-making in an uncertain environment.
no code implementations • 2 Jul 2021 • Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang, Dejing Dou
Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares.
no code implementations • 2 Apr 2020 • Yimin Fan, Zhiyuan Wang, Yuanpeng Lin, Haisheng Tan
We model the traffic flow as a time series and apply XGBoost algorithm to get accurate predictions on future traffic conditions(1st stage).
1 code implementation • 27 Nov 2019 • Wenxuan Wu, Zhiyuan Wang, Zhuwen Li, Wei Liu, Li Fuxin
We propose a novel end-to-end deep scene flow model, called PointPWC-Net, on 3D point clouds in a coarse-to-fine fashion.