no code implementations • 3 May 2024 • Yichuan Zou, Li Jin, Xi Xiong
Platooning of connected and autonomous vehicles (CAVs) plays a vital role in modernizing highways, ushering in enhanced efficiency and safety.
no code implementations • 14 Apr 2024 • Yidan Wu, Jianan Zhang, Li Jin
Learning-based approaches are increasingly popular for traffic control problems.
no code implementations • 7 Apr 2024 • Yuzhen Zhan, Li Jin
We develop an least-square policy iteration algorithm for the defender to compute a cost-aware and threat-adaptive defensive strategy.
no code implementations • 24 Mar 2024 • Hao Xiang, Zhaoliang Zheng, Xin Xia, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma
Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the perception capability.
no code implementations • 11 Aug 2023 • Fanglong Yao, Changyuan Tian, Jintao Liu, Zequn Zhang, Qing Liu, Li Jin, Shuchao Li, Xiaoyu Li, Xian Sun
Inspired by this, this paper innovatively proposes a multimodal Hypergraph-of-Thought (HoT) reasoning paradigm, which enables the foundation models to possess the expert-level ability of high-order multi-hop reasoning and multimodal comparative judgement.
no code implementations • 8 Aug 2023 • Xi Xiong, Maonan Wang, Dengfeng Sun, Li Jin
To simplify the problem, we decouple the action space by prioritizing routing decisions based on travel time estimation.
no code implementations • 12 Jul 2023 • Yu Tang, Li Jin, Kaan Ozbay
Our approach informs the decoder of the physical traffic flow models and thus induces the encoder to yield reasonable traffic parameters given flow and speed measurements.
no code implementations • 29 May 2023 • Yu Tang, Kaan Ozbay, Li Jin
Connected vehicles (CVs) can provide numerous new data via vehicle-to-vehicle or vehicle-to-infrastructure communication.
no code implementations • 1 Apr 2023 • Yu Tang, Li Jin, Kaan Ozbay
For links admiting congestion propagation, we present one stability condition and one instability condition.
no code implementations • 21 Mar 2023 • Xiangchen Cheng, Wei Tang, Ming Yang, Li Jin
Signal-free intersections are a representative application of smart and connected vehicle technologies.
no code implementations • 27 Feb 2023 • Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang, Xiaoyu Li, Nayu Liu, Qing Liu, Shiyao Yan
Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment.
no code implementations • 27 Jan 2023 • Qian Xie, Jiayi Wang, Li Jin
Parallel server systems in transportation, manufacturing, and computing heavily rely on dynamic routing using connected cyber components for computation and communication.
no code implementations • 27 Jun 2022 • Haoran Su, Yaofeng D. Zhong, Joseph Y. J. Chow, Biswadip Dey, Li Jin
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as medical emergencies and fire outbreaks in urban areas.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)
no code implementations • ACL 2021 • Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi, Li Jin
Implicit Event Argument Extraction seeks to identify arguments that play direct or implicit roles in a given event.
no code implementations • 20 Apr 2021 • Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Li Jin, Shuchao Li
Link Prediction, addressing the issue of completing KGs with missing facts, has been broadly studied.
no code implementations • 26 Mar 2021 • Haoran Su, Zhengjie Ji, Karl. H. Johansson, Li Jin
Platooning of connected and autonomous vehicles (CAVs) is an emerging technology with a strong potential for throughput improvement and fuel reduction.
1 code implementation • 2 Sep 2020 • Jiuniu Wang, Wenjia Xu, Xingyu Fu, Yang Wei, Li Jin, Ziyan Chen, Guangluan Xu, Yirong Wu
This model enhances the question answering system in the multi-document scenario from three aspects: model structure, optimization goal, and training method, corresponding to Multilayer Attention (MA), Cross Evidence (CE), and Adversarial Training (AT) respectively.
no code implementations • 1 Aug 2020 • Haoran Su, Kejian Shi, Li Jin, Joseph Y. J. Chow
Emergency vehicle (EMV) service is a key function of cities and is exceedingly challenging due to urban traffic congestion.
no code implementations • 29 Mar 2020 • Xi Xiong, Junyi Sha, Li Jin
When a CAV approaches the junction, a system operator determines whether the CAV will merge into the platoon ahead according to the positions and speeds of the CAV and the platoon.
no code implementations • 2 Mar 2020 • Haoran Su, Kejian Shi, Joseph. Y. J. Chow, Li Jin
Based on pairs of neural networks representing actors and critics for agent vehicles, we develop a multi-agent actor-critic deep reinforcement learning algorithm that handles a varying number of vehicles and a random proportion of connected vehicles in the traffic.
1 code implementation • 17 Feb 2020 • Zixin Hu, Qiyang Ge, Shudi Li, Li Jin, Momiao Xiong
BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forecasting of Covid-19 to estimate the size, lengths and ending time of Covid-19 across China.
1 code implementation • 1 May 2019 • Xi Xiong, Kaan Ozbay, Li Jin, Chen Feng
In this paper we propose a novel O-D prediction framework combining heterogeneous prediction in graph neural networks and Kalman filter to recognize spatial and temporal patterns simultaneously.
no code implementations • 3 Sep 2018 • Jiuniu Wang, Xingyu Fu, Guangluan Xu, Yirong Wu, Ziyan Chen, Yang Wei, Li Jin
Meanwhile, we construct A3Net for the WebQA dataset.
no code implementations • 3 Dec 2015 • Panpan Wang, Mohammad Rahman, Li Jin, Momiao Xiong
The widely used genetic pleiotropic analysis of multiple phenotypes are often designed for examining the relationship between common variants and a few phenotypes.
no code implementations • 13 Jan 2015 • Yi Wang, Yi Li, Momiao Xiong, Li Jin
To improve accuracy and speed of regressions and classifications, we present a data-based prediction method, Random Bits Regression (RBR).