no code implementations • 22 Feb 2024 • Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, XiaoYu Zhang
Temporal Knowledge Graph (TKG) forecasting aims to predict future facts based on given histories.
1 code implementation • 18 Feb 2024 • Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
In this work, we adopt the intuition that the LVLM tends to respond logically consistently for existent objects but inconsistently for hallucinated objects.
no code implementations • 9 Feb 2024 • Andrew Smart, Ding Wang, Ellis Monk, Mark Díaz, Atoosa Kasirzadeh, Erin Van Liemt, Sonja Schmer-Galunder
Data annotation remains the sine qua non of machine learning and AI.
no code implementations • 29 Nov 2023 • Srravya Chandhiramowuli, Alex Taylor, Sara Heitlinger, Ding Wang
To examine this, we draw on sociological and socio-technical scholarship on quantification and develop the lens of a 'regime of counting' that makes explicit the specific counts, practices, actors and structures that underpin the pervasive counting in annotation.
no code implementations • 9 Nov 2023 • Vinodkumar Prabhakaran, Christopher Homan, Lora Aroyo, Alicia Parrish, Alex Taylor, Mark Díaz, Ding Wang
Recent advancements in conversational AI have created an urgent need for safety guardrails that prevent users from being exposed to offensive and dangerous content.
no code implementations • 6 Nov 2023 • Xi Chen, Wei Hu, Jingru Yu, Ding Wang, Shengyue Yao, Yilun Lin, Fei-Yue Wang
This paper introduces a novel approach, aiming to enable cities to evolve and respond more effectively to such dynamic demand.
no code implementations • 13 Jul 2023 • Wei Hu, Xuhong Wang, Ding Wang, Shengyue Yao, Zuqiu Mao, Li Li, Fei-Yue Wang, Yilun Lin
In the realm of software applications in the transportation industry, Domain-Specific Languages (DSLs) have enjoyed widespread adoption due to their ease of use and various other benefits.
1 code implementation • 25 May 2023 • Ding Wang, Xuhong Wang, Liang Chen, Shengyue Yao, Ming Jing, Honghai Li, Li Li, Shiqiang Bao, Fei-Yue Wang, Yilun Lin
To the best of our knowledge, this is the first traffic simulator that can automatically learn traffic patterns from real-world data and efficiently generate accurate and realistic traffic environments.
no code implementations • 24 May 2023 • Xuhong Wang, Ding Wang, Liang Chen, Yilun Lin
This data-driven and model-free simulation method addresses the challenges faced by traditional systems in terms of structural complexity and model accuracy and provides a foundation for solving complex transportation problems with real data.
no code implementations • 10 Mar 2023 • Ding Wang, Wenwen Zhang
The gas identification and concentration estimation model called GCN-ViT(GViT) is proposed in this paper; we view the sensor data to be a one-way chain that has only been downscaled to retain the majority of the original in-formation.
1 code implementation • COLING 2022 • Yufang Liu, Ziyin Huang, Yijun Wang, Changzhi Sun, Man Lan, Yuanbin Wu, Xiaofeng Mou, Ding Wang
Existing distantly supervised relation extractors usually rely on noisy data for both model training and evaluation, which may lead to garbage-in-garbage-out systems.
no code implementations • 11 May 2022 • Divya Ramesh, Vaishnav Kameswaran, Ding Wang, Nithya Sambasivan
We report on a qualitative study with 29 financially-stressed users of instant loan platforms in India.
no code implementations • 12 Feb 2021 • Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
Training deep neural models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact the generalization performance.
no code implementations • 21 Jan 2021 • Yuan Fang, Ding Wang, Peng Li, Hang Su, Tian Le, Yi Wu, Guo-Wei Yang, Hua-Li Zhang, Zhi-Guang Xiao, Yan-Qiu Sun, Si-Yuan Hong, Yan-Wu Xie, Huan-Hua Wang, Chao Cao, Xin Lu, Hui-Qiu Yuan, Yang Liu
We report growth, electronic structure and superconductivity of ultrathin epitaxial CoSi2 films on Si(111).
Mesoscale and Nanoscale Physics
no code implementations • 4 Jan 2021 • Dakuo Wang, Liuping Wang, Zhan Zhang, Ding Wang, Haiyi Zhu, Yvonne Gao, Xiangmin Fan, Feng Tian
Artificial intelligence (AI) technology has been increasingly used in the implementation of advanced Clinical Decision Support Systems (CDSS).
no code implementations • 1 Jan 2021 • Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou
Training deep neural models in the presence of corrupted supervisions is challenging as the corrupted data points may significantly impact the generalization performance.
2 code implementations • 1 Jan 2021 • Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou
Unsupervised anomaly detection plays a crucial role in many critical applications.
no code implementations • 23 Sep 2020 • Ding Wang, Fan Zuo, Jingqin Gao, Yueshuai He, Zilin Bian, Suzana Duran Bernardes, Chaekuk Na, Jingxing Wang, John Petinos, Kaan Ozbay, Joseph Y. J. Chow, Shri Iyer, Hani Nassif, Xuegang Jeff Ban
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped by social distancing.