Xiaoyu QIN    

Brief 

Xiaoyu QIN
Hello! 
I am a Postdoctoral Fellow at Department of Computer Science and Technology, Tsinghua University (In cooperation with Prof Jia Jia).
Currently, I focus on the topic of Cross-modality.
My research interests include Multimedia, Artificial Intelligence, Affective Computing, and their applications. My past research interests include Theory of Evolutionary Algorithms and Optimisation.

Research  

Cross-modality & Multimedia

➤ VoxInstruct: Expressive Human Instruction-to-Speech Generation with Unified Multilingual Codec Language Modelling.

(Yixuan Zhou†, Xiaoyu Qin†, Zeyu Jin, Shuoyi Zhou, Shun Lei, Songtao Zhou, Zhiyong Wu* and Jia Jia*)

†: Equal contribution
*: Corresponding authors.

‌ To appear in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM '24).

➤ SpeechCraft: A Fine-Grained Expressive Speech Dataset with Natural Language Description.

(Zeyu Jin, Jia Jia, Qixin Wang, Kehan Li, Shuoyi Zhou, Songtao Zhou, Xiaoyu Qin* and Zhiyong Wu*) ‌ To appear in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM '24).

➤ DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis.

(Zixuan Wang, Jiayi Li, Xiaoyu Qin, Shikun Sun, Songtao Zhou, Jia Jia and Jiebo Luo) ‌ To appear in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM '24).

➤ PlacidDreamer: Advancing Harmony in Text-to-3D Generation.

(Shuo Huang, Shikun Sun, Zixuan Wang, Xiaoyu Qin, Yanmin Xiong, Yuan Zhang, Pengfei Wan, Di Zhang and Jia Jia) ‌ To appear in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM '24).

➤ Realistic Full-Body Motion Generation from Sparse Tracking with State Space Model.

(Kun Dong, Jian Xue, Zehai Niu, Xing Lan, Ke Lv, Qingyuan Liu and Xiaoyu Qin) ‌ To appear in Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM '24).
Evolutionary Computation & Optimisation

➤ Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties.

(Xiankun Yan*, Anh Viet Do, Feng Shi, Xiaoyu Qin and Frank Neumann) ‌ In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI '23).

➤ Self-adaptation Can Improve the Noise-tolerance of Evolutionary Algorithms.

(with Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA '23).

➤ Self-adaptation Can Help Evolutionary Algorithms Track Dynamic Optima.

(with Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In Proceedings of the Genetic and Evolutionary Computation Conference 2023 (GECCO '23).

➤ More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments.

(with Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In the Algorithmica (2022).

➤ Self-adaptation via Multi-objectivisation: An Empirical Study.

(Xiaoyu Qin and Per Kristian Lehre) In the Parallel Problem Solving from Nature XVII (PPSN '22).

➤ Self-adaptation via Multi-objectivisation: A Theoretical Study.

(with Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In Proceedings of the Genetic and Evolutionary Computation Conference 2022 (GECCO '22).

➤ Fast Non-elitist Evolutionary Algorithms with Power-law Ranking Selection.

(with Duc-Cuong Dang, Anton Eremeev and Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In Proceedings of the Genetic and Evolutionary Computation Conference 2022 (GECCO '22).

➤ More Precise Runtime Analyses of Non-elitist EAs in Uncertain Environments.

(with Per Kristian Lehre)

Following the convention of Theoretical Computer Science that the co-authors are listed in Alphabetical Order.

‌ In Proceedings of the Genetic and Evolutionary Computation Conference 2021 (GECCO '21).

Activities 

18 Jan. 2024
Playing a part in organizing the 清华大学基础模型中心基础模型2023学术年会 Tsinghua 2023 Foundation Model Conference and giving a talk on Speech Foundation Models with Personalized Expressive Capabilities in Beijing, China.
8-10 Dec. 2023
28 Nov. 2023
🚩 Completed the PhD study. Thesis: Self-adaptive Parameter Control Mechanisms in Evolutionary Computation.
02 Nov. 2023
🚩 Passed PhD viva with minor modifications (Examiners: Thomas Jansen and Peter Tino, Chair: Leandro L. Minku).
26-28 Oct. 2023
10 Sep. 2023
Physically attending 大模型研讨会 The Symposium on Large Language Models in Beijing, China.
15-19 Jul. 2023
Physically attending Genetic and Evolutionary Computation Conference (GECCO) 2023 and serving as a volunteer in Lisbon, Portugal.
13-14 Jun. 2023
Visting School of Computer Science and Information Technology, Shanxi University, China, and giving a talk on Self-adaptation in Evolutionary Computation.
11 Jun. 2023
Physically attending the 9-th Chinese Workshop on Evolutionary Computation and Learning (ECOLE) in Shenzhen, China.
30-31 May 2023
24-25 May 2023
Physically attending Turing AI Fellowship Event in London, UK.
22 Mar. 2023
Giving a online talk on Self-adaptation via Multi-objectivisation: Multi-Objective Self-Adaptive Evolutionary Algorithms (MOSA-EA) at School of Computer and Mathematical Sciences, The University of Adelaide, Australia.
07 Dec. 2022
Physically attending AI Alan Turing Fellows Day in Cambridge, UK.
10-14 Sep. 2022
5 Sep. 2022
9-13 Jul. 2022
26 May 2022
23-26 Aug. 2021
10-14 Jul. 2021
Virtually attending Genetic and Evolutionary Computation Conference (GECCO) 2021 in Lille, France.
13 May 2021
21 Apr. 2021
Giving a talk on Theory of Evolutionary Computation and Self-adaptive Evolutionary Algorithms at Shanxi University, China.
18-12 Jul. 2020
Virtually attending Genetic and Evolutionary Computation Conference (GECCO) 2020 in Cancun, Mexico.
03 Feb. 2020
🚩 Enrolling as a PhD student at University of Birmingham, UK.
Before
······

Work 

Mar. 2024 - Now

Education 

Feb. 2020 - Nov. 2023
Sep. 2018 - Sep. 2019
Oct. 2017 - Jul. 2018
Visiting Student in Computer Science at Loughborough University, UK
Sep. 2014 - Jul. 2018
Jul. 2016 - Aug. 2016
Visiting Student at University of Aberdeen, UK
High School

Teaching 

Term
Module
Role
Place
Spring 2021-22 AI & ML TA University of Birmingham
Autumn 2021-22 Neural Computation TA University of Birmingham
Spring 2020-21 AI & ML TA University of Birmingham
Autumn 2020-21 Neural Computation TA University of Birmingham

Contact 

Address:
3-522, FIT Building, Tsinghua University, Beijing, 10084, China.
Email:
xyqin@tsinghua.edu.cn
Social Media:
   

Useful Sheets, Tools & Links 

Math:
Useful Inequalities Theoretical Computer Science Cheat Sheet
Function Plotter 2D Function Plotter 3D
Writing:
Table Generator TeXcount Detexify
Symbol List (Comprehensive) Oxford English Dictionary Academic Phrasebank
Latex-Diff
Charting:
matplotlib CheatSheets & Handout MATLAB Plot CheatSheet
Publicating:
CCF-List by CCF CORE Rankings EC conferences
TH-CPL by CS@THU
Links:
Zitai CHEN Wei LI Xiankun YAN
Mo ZHANG Yuqing DAI Hao TONG
Chenguang XIAO Shishen LIN


© Copyright 2020-2024 Xiaoyu QIN