2 code implementations • 12 Mar 2024 • Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu
The virtual API server contains a caching system and API simulators which are complementary to alleviate the change in API status.
no code implementations • 8 Mar 2024 • Varun Babbar, Zhicheng Guo, Cynthia Rudin
The performance of machine learning models heavily depends on the quality of input data, yet real-world applications often encounter various data-related challenges.
no code implementations • 12 Feb 2024 • Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu
We also conduct proof-of-concept studies by introducing realistic features to WebShop, including user profiles to demonstrate intentions, personalized reranking for complex environmental dynamics, and runtime cost statistics to reflect self-constraints.
no code implementations • 4 Dec 2023 • Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Fadi B Nahab, Xiao Hu
This paper explores the challenges in evaluating machine learning (ML) models for continuous health monitoring using wearable devices beyond conventional metrics.
1 code implementation • 27 Nov 2023 • Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu
However, the capability of VLMs to "think" from a first-person perspective, a crucial attribute for advancing autonomous agents and robotics, remains largely unexplored.
1 code implementation • 13 Oct 2023 • Zhicheng Guo, Cheng Ding, Duc H. Do, Amit Shah, Randall J. Lee, Xiao Hu, Cynthia Rudin
Previous deep learning models learn from a single modality, either electrocardiogram (ECG) or photoplethysmography (PPG) signals.
no code implementations • 6 Jul 2023 • Sully F. Chen, Zhicheng Guo, Cheng Ding, Xiao Hu, Cynthia Rudin
Methods: We propose a sparse, interpretable architecture for medical time series processing.
no code implementations • 6 Jun 2023 • Pinzhen Chen, Zhicheng Guo, Barry Haddow, Kenneth Heafield
In this paper, we propose iterative translation refinement to leverage the power of large language models for more natural translation and post-editing.
1 code implementation • 28 May 2023 • Zhicheng Guo, Sijie Cheng, Yile Wang, Peng Li, Yang Liu
There are two main challenges to leveraging retrieval-augmented methods for NKI tasks: 1) the demand for diverse relevance score functions and 2) the dilemma between training cost and task performance.
no code implementations • 9 Nov 2022 • Alina Jade Barnett, Zhicheng Guo, Jin Jing, Wendong Ge, Cynthia Rudin, M. Brandon Westover
To address these challenges, we propose a novel interpretable deep learning model that not only predicts the presence of harmful brainwave patterns but also provides high-quality case-based explanations of its decisions.
1 code implementation • 7 Nov 2022 • Cheng Ding, Zhicheng Guo, Cynthia Rudin, Ran Xiao, Amit Shah, Duc H. Do, Randall J Lee, Gari Clifford, Fadi B Nahab, Xiao Hu
To address this challenge, in this study, we propose to leverage AF alarms from bedside patient monitors to label concurrent PPG signals, resulting in the largest PPG-AF dataset so far (8. 5M 30-second records from 24100 patients) and demonstrating a practical approach to build large labeled PPG datasets.
no code implementations • 18 Aug 2021 • Haoran Peng, He Huang, Li Xu, Tianjiao Li, Jun Liu, Hossein Rahmani, Qiuhong Ke, Zhicheng Guo, Cong Wu, Rongchang Li, Mang Ye, Jiahao Wang, Jiaxu Zhang, Yuanzhong Liu, Tao He, Fuwei Zhang, Xianbin Liu, Tao Lin
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021.
no code implementations • ACL 2021 • Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu, Lingling Li
Under the question{'}s guidance of progressive attention, we realize the fusion of all-scale video features.
no code implementations • 14 Jun 2021 • Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu
We propose a balanced coarsening scheme for multilevel hypergraph partitioning.