Brief

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).

➤ From Method to Application: A Review of Deep 3D Human Motion Capture.

(Zehai Niu, Ke Lv, Jian Xue*, Xiaoyu Qin, Jinbao Wang and Ling Shao) ‌ In IEEE Transactions on Circuits and Systems for Video Technology (2024).

Evolutionary Computation & Optimisation

➤ Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking Selection.

(with Duc-Cuong Dang and Anton Eremeev)

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

‌ In Intelligent Information Processing XII (IIP '24).

➤ 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 (2024).

➤ 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

19 Jun. 2024	Organizing 清华大学基础模型中心系列讲座第16期 The 16th series talk in Foundation Model Research Center at Tsinghua University, featuring talks by Prof Per Kristian Lehre, Dr Mo Zhang, Shishen Lin and Wei Liu.
21 May 2024	Serving as the secretary for the doctoral defense committee, congratulations to Dr Jingbei Li and Dr Haozhe Wu from Tsinghua University for successfully passing their defenses.
17 Apr. 2024	Visiting Prof Qian Chao's esearch group at Nanjing University, China, alongside Prof Per Kristian Lehre.
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	Physically attending 第十八届全国人机语音通讯学术会议 National Conference on Man-Machine Speech Communication, NCMMSC 2023 in Suzhou, China.
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	Physically attending 中国计算机大会 China National Computer Conference (CNCC) 2023 in Shenyang, China.
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	Visiting Department of Computer Science, Aberystwyth University, UK.
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	Physically attending the 17-th International Conference on Parallel Problem Solving from Nature (PPSN XVII) in Dortmund, Germany.
5 Sep. 2022	Virtually attending COnfiguration and SElection of ALgorithms (COSEAL) Workshop 2022.
9-13 Jul. 2022	Physically attending Genetic and Evolutionary Computation Conference (GECCO) 2022 in Boston, USA.
26 May 2022	Visiting School of Computer Science and Engineering, Central South University, China.
23-26 Aug. 2021	Virtually attending 2021 IEEE CIS Summer School on Data-Driven Artificial/Computational Intelligence: Theory and Applications.
10-14 Jul. 2021	Virtually attending Genetic and Evolutionary Computation Conference (GECCO) 2021 in Lille, France.
13 May 2021	Visiting Department of Computer Science and Engineering, Southern University of Science and Technology (SUSTech), China.
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

Postdoctoral Fellow at Department of Computer Science and Technology, Tsinghua University, China

Education

Feb. 2020 - Nov. 2023	PhD in Computer Science at University of Birmingham, UK (Supervisors: Prof Per Kristian Lehre and Prof Ata Kaban, PhD Thesis: )
Sep. 2018 - Sep. 2019	MSc in Advanced Computer Science with Distinction at University of Birmingham, UK (Supervisor: Prof Per Kristian Lehre)
Oct. 2017 - Jul. 2018	Visiting Student in Computer Science at Loughborough University, UK
Sep. 2014 - Jul. 2018	BEng in Computer Science and Technology, Outstanding Graduate at Shanxi University, China
Jul. 2016 - Aug. 2016	Visiting Student at University of Aberdeen, UK
High School	Science Class at The Affiliated High School of Shanxi University, China

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