Search Results for author: Xinyue Zhang

Found 24 papers, 6 papers with code

Driving Style Alignment for LLM-powered Driver Agent

no code implementations17 Mar 2024 Ruoxuan Yang, Xinyue Zhang, Anais Fernandez-Laaksonen, Xin Ding, Jiangtao Gong

Recently, LLM-powered driver agents have demonstrated considerable potential in the field of autonomous driving, showcasing human-like reasoning and decision-making abilities. However, current research on aligning driver agent behaviors with human driving styles remains limited, partly due to the scarcity of high-quality natural language data from human driving behaviors. To address this research gap, we propose a multi-alignment framework designed to align driver agents with human driving styles through demonstrations and feedback.

Autonomous Driving Decision Making

Audiobox: Unified Audio Generation with Natural Language Prompts

no code implementations25 Dec 2023 Apoorv Vyas, Bowen Shi, Matthew Le, Andros Tjandra, Yi-Chiao Wu, Baishan Guo, Jiemin Zhang, Xinyue Zhang, Robert Adkins, William Ngan, Jeff Wang, Ivan Cruz, Bapi Akula, Akinniyi Akinyemi, Brian Ellis, Rashel Moritz, Yael Yungster, Alice Rakotoarison, Liang Tan, Chris Summers, Carleigh Wood, Joshua Lane, Mary Williamson, Wei-Ning Hsu

Research communities have made great progress over the past year advancing the performance of large scale audio generative models for a single modality (speech, sound, or music) through adopting more powerful generative models and scaling data.

AudioCaps Audio Generation +1

Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning

no code implementations18 Dec 2023 Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu

Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process.

Binary Classification Quantum Machine Learning

Optimised Storage for Datalog Reasoning

no code implementations18 Dec 2023 Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks

Materialisation facilitates Datalog reasoning by precomputing all consequences of the facts and the rules so that queries can be directly answered over the materialised facts.

Enhancing Datalog Reasoning with Hypertree Decompositions

no code implementations11 May 2023 Xinyue Zhang, Pan Hu, Yavor Nenov, Ian Horrocks

In this paper, we provide algorithms that exploit hypertree decompositions for the materialisation and incremental evaluation of Datalog programs.

Accelerating Globally Optimal Consensus Maximization in Geometric Vision

no code implementations11 Apr 2023 Xinyue Zhang, Liangzu Peng, Wanting Xu, Laurent Kneip

Branch-and-bound-based consensus maximization stands out due to its important ability of retrieving the globally optimal solution to outlier-affected geometric problems.

Pose Estimation

Mpox-AISM: AI-Mediated Super Monitoring for Mpox and Like-Mpox

no code implementations17 Mar 2023 Yubiao Yue, Minghua Jiang, Xinyue Zhang, Jialong Xu, Huacong Ye, Fan Zhang, Zhenzhang Li, Yang Li

With the help of the Internet and communication terminal, Mpox-AISM can perform a real-time, low-cost, and convenient diagnosis for earlier-stage mpox in various real-world settings, thereby effectively curbing the spread of mpox virus.

Data Augmentation Decision Making +2

Data-based Polymer-Unit Fingerprint (PUFp): A Newly Accessible Expression of Polymer Organic Semiconductors for Machine Learning

no code implementations3 Nov 2022 Xinyue Zhang, Genwang Wei, Ye Sheng, Jiong Yang, Caichao Ye, Wenqing Zhang

By investigating the combinations of polymer units with mobility performance, a scheme for designing polymer OSC materials by combining ML approaches and PUFp information is proposed to not only passively predict OSC mobility but also actively provide structural guidance for new high-mobility OSC material design.

Open Set Domain Adaptation with Zero-shot Learning on Graph

no code implementations29 Sep 2021 Xinyue Zhang, Xu Yang, Zhi-Yong Liu

Thus the classification ability of the source domain is transferred to the target domain and the model can distinguish the unknown classes with prior knowledge.

Domain Adaptation Zero-Shot Learning

Diverse Melody Generation from Chinese Lyrics via Mutual Information Maximization

no code implementations7 Dec 2020 Ruibin Yuan, Ge Zhang, Anqiao Yang, Xinyue Zhang

In this paper, we propose to adapt the method of mutual information maximization into the task of Chinese lyrics conditioned melody generation to improve the generation quality and diversity.

Evaluation of Inference Attack Models for Deep Learning on Medical Data

no code implementations31 Oct 2020 Maoqiang Wu, Xinyue Zhang, Jiahao Ding, Hien Nguyen, Rong Yu, Miao Pan, Stephen T. Wong

This paper aims to attract interest from researchers in the medical deep learning community to this important problem.

Attribute Inference Attack

Revealing Secrets in SPARQL Session Level

1 code implementation13 Sep 2020 Xinyue Zhang, Meng Wang, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo, Guilin Qi, Haofen Wang

Based on Semantic Web technologies, knowledge graphs help users to discover information of interest by using live SPARQL services.

Knowledge Graphs

Differentially Private and Fair Classification via Calibrated Functional Mechanism

no code implementations14 Jan 2020 Jiahao Ding, Xinyue Zhang, Xiaohuan Li, Junyi Wang, Rong Yu, Miao Pan

In order to enforce $\epsilon$-differential privacy and fairness, we leverage the functional mechanism to add different amounts of Laplace noise regarding different attributes to the polynomial coefficients of the objective function in consideration of fairness constraint.

Autonomous Driving BIG-bench Machine Learning +4

From Dark Matter to Galaxies with Convolutional Neural Networks

1 code implementation17 Oct 2019 Jacky H. T. Yip, Xinyue Zhang, Yanfang Wang, Wei zhang, Yueqiu Sun, Gabriella Contardo, Francisco Villaescusa-Navarro, Siyu He, Shy Genel, Shirley Ho

Cosmological simulations play an important role in the interpretation of astronomical data, in particular in comparing observed data to our theoretical expectations.

From Dark Matter to Galaxies with Convolutional Networks

1 code implementation15 Feb 2019 Xinyue Zhang, Yanfang Wang, Wei zhang, Yueqiu Sun, Siyu He, Gabriella Contardo, Francisco Villaescusa-Navarro, Shirley Ho

In combination with current and upcoming data from cosmological observations, our method has the potential to answer fundamental questions about our Universe with the highest accuracy.

Image Registration Based Flicker Solving in Video Face Replacement and Analysis Based Sub-pixel Image Registration

no code implementations9 Mar 2018 Xiaofang Wang, Guoqiang Xiang, Xinyue Zhang, Wei Wei

In this paper, a framework of video face replacement is proposed and it deals with the flicker of swapped face in video sequence.

Image Registration

Cannot find the paper you are looking for? You can Submit a new open access paper.