Search Results for author: Sirui Li

Found 17 papers, 6 papers with code

CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities

no code implementations SemEval (NAACL) 2022 Jia Fu, Zhen Gan, Zhucong Li, Sirui Li, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao

This paper describes our approach to develop a complex named entity recognition system in SemEval 2022 Task 11: MultiCoNER Multilingual Complex Named Entity Recognition, Track 9 - Chinese.

Chinese Named Entity Recognition Data Augmentation +3

Generalizing Cooperative Eco-driving via Multi-residual Task Learning

no code implementations7 Mar 2024 Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi

To address this, we introduce Multi-residual Task Learning (MRTL), a generic learning framework based on multi-task learning that, for a set of task scenarios, decomposes the control into nominal components that are effectively solved by conventional control methods and residual terms which are solved using learning.

Autonomous Driving Multi-Task Learning

SHMC-Net: A Mask-guided Feature Fusion Network for Sperm Head Morphology Classification

1 code implementation6 Feb 2024 Nishchal Sapkota, Yejia Zhang, Sirui Li, Peixian Liang, Zhuo Zhao, Jingjing Zhang, Xiaomin Zha, Yiru Zhou, Yunxia Cao, Danny Z Chen

We propose a new approach for sperm head morphology classification, called SHMC-Net, which uses segmentation masks of sperm heads to guide the morphology classification of sperm images.

Morphology classification

Multi-Agent Reinforcement Learning for Assessing False-Data Injection Attacks on Transportation Networks

no code implementations22 Dec 2023 Taha Eghtesad, Sirui Li, Yevgeniy Vorobeychik, Aron Laszka

The increasing reliance of drivers on navigation applications has made transportation networks more susceptible to data-manipulation attacks by malicious actors.

Multi-agent Reinforcement Learning

Non-Euclidean Spatial Graph Neural Network

1 code implementation17 Dec 2023 Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao

Besides, existing spatial network representation learning methods can only consider networks embedded in Euclidean space, and can not well exploit the rich geometric information carried by irregular and non-uniform non-Euclidean space.

Representation Learning

Hybrid System Stability Analysis of Multi-Lane Mixed-Autonomy Traffic

no code implementations11 Oct 2023 Sirui Li, Roy Dong, Cathy Wu

Through examining the influence of the lane-switch frequency on the system's stability, the analysis offers a principled explanation to the traffic break phenomena, and further discovers opportunities for less-intrusive traffic smoothing by employing less frequent lane-switching.

Autonomous Vehicles

Large Language Models for Failure Mode Classification: An Investigation

1 code implementation15 Sep 2023 Michael Stewart, Melinda Hodkiewicz, Sirui Li

In this paper we present the first investigation into the effectiveness of Large Language Models (LLMs) for Failure Mode Classification (FMC).

Prompt Engineering text-classification +1

Integrated Analysis of Coarse-Grained Guidance for Traffic Flow Stability

no code implementations10 Jan 2023 Sirui Li, Roy Dong, Cathy Wu

While previous theoretical studies consider stability analysis for continuous AV control, this article presents the first integrated theoretical analysis that directly relates the guidance provided to the human drivers to the traffic flow stability outcome.

Autonomous Vehicles

Modelling Multi-relations for Convolutional-based Knowledge Graph Embedding

no code implementations21 Oct 2022 Sirui Li, Kok Wai Wong, Dengya Zhu, Chun Che Fung

It is considered that such approaches disconnect the semantic connection of multi-relations between an entity pair, and we propose a convolutional and multi-relational representation learning model, ConvMR.

Knowledge Graph Embedding Knowledge Graphs +2

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning

no code implementations16 Oct 2022 Vindula Jayawardana, Catherine Tang, Sirui Li, Dajiang Suo, Cathy Wu

We show that in comparison to evaluating DRL methods on select MDP instances, evaluating the MDP family often yields a substantially different relative ranking of methods, casting doubt on what methods should be considered state-of-the-art.

Decision Making reinforcement-learning +1

Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking

1 code implementation27 Jul 2022 Mingjie Wang, Jianxiong Guo, Sirui Li, Dingwen Xiao, Zhiqing Tang

Deep neural networks have significantly advanced person re-identification (ReID) applications in the realm of the industrial internet, yet they remain vulnerable.

Adversarial Attack Domain Adaptation +1

Cooperation for Scalable Supervision of Autonomy in Mixed Traffic

no code implementations14 Dec 2021 Cameron Hickert, Sirui Li, Cathy Wu

A key takeaway is the potential value of cooperation in enabling the deployment of autonomy at scale.

Autonomous Vehicles

Learning to Delegate for Large-scale Vehicle Routing

1 code implementation NeurIPS 2021 Sirui Li, Zhongxia Yan, Cathy Wu

We frame subproblem selection as regression and train a Transformer on a generated training set of problem instances.

Conditional Linear Regression

1 code implementation6 Jun 2018 Diego Calderon, Brendan Juba, Sirui Li, Zongyi Li, Lisa Ruan

Work in machine learning and statistics commonly focuses on building models that capture the vast majority of data, possibly ignoring a segment of the population as outliers.


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