Songxin Lei
Ph.D. Student
The Hong Kong University of Science and Technology
Industrial Engineering & Decision Analytics
Hong Kong SAR, China

Greetings! I will join Industrail Engineering & Decision Analytics department at The Hong Kong University of Science and Technology (HKUST) as a Ph.D. student in Sept. 2026, supervised by Prof. Fugee Tsung. I am now a M.phil. student in Data Science & Analytics at HKUST(GZ), under the supervision of Prof. Yuxuan Liang and Prof. Jiaheng Wei. I previously obtained my B.S. degree in Data Science & Big Data Technology from Tianjin University in 2024, under the supervision of Prof. Huaming Wu.

I was a visiting student at the Beijing Institude of Technology in 2025, working with Prof. Sijie Ruan and Prof. Yexin Li. I also gained valuable insights from Dr. Haomin Wen from Carnegie Mellon University and Dr. Huijun Tang from Durham University. I am now a research intern at LIGHTSPEED STUDIOS, Tencent, where I am responsible for agent memory research and its applications in game scenarios, supervised by Dr. Kun Ouyang. Prior to this, I interned at Yozosoft Co., Ltd. as a NLP algorithm engineer in 2022.

My research interests lie in Agentic RL, Data Mining, and Crowdsourcing. I welcome collaborations with researhers and practitioners in related areas!

Education Background
  • Hong Kong University of Science and Technology
    Hong Kong University of Science and Technology
    Ph.D. in Industrail Engineering & Decision Analytics
    Sep. 2026 - Jul. 2029
  • Hong Kong University of Science and Technology (GZ)
    Hong Kong University of Science and Technology (GZ)
    M.Phil. in Data Science & Analytics
    Aug. 2024 - Jul. 2026
  • Tianjin Universiy
    Tianjin Universiy
    B.S. in Data Science & Big Data Technology
    Sep. 2020 - Jul. 2024
Working Experience
  • LIGHTSPEED STUDIOS, Tencent
    LIGHTSPEED STUDIOS, Tencent
    Research Intern, Data Agent
    Feb. 2026 - Aug. 2026
  • Yozosoft Co., Ltd.
    Yozosoft Co., Ltd.
    Intern, Natural Language Processing
    Jun. 2022 - Jul. 2022
News
2026
I was invited to attend the AliStar Candidates Academic Day in Hangzhou.
Jun 22
I was invited to serve as a Program Committee member for KDD 2026 Workshop, Milets.
Jun 12
One paper on Reinforcement Learning was accepted to ACM SIGKDD (CCF-A). Congratulations to Songxin!
May 17
I was invited to serve as a reviewer for IJCAI 2026.
Apr 14
One paper was accepted by ICLR 2026 Workshop, HCAIR. Congratulations to all!
Mar 07
I was invited to serve as a Program Committee member for KDD 2026.
Feb 05
I was offered an algorithm internship position at Tencent LIGHTSPEED STUDIOS. Congratulations to Songxin!
Jan 30
2025
I received a fully funded Ph.D. offer from HKUST. Congratulations to Songxin!
Dec 02
I was invited to serve as a reviewer for ADVEI.
Oct 15
I was invited to serve as a Program Committee member for AAAI 2026.
Aug 15
One paper on Reinforcement Learning was accepted to IEEE TMC. Congratulations to Songxin!
Jul 17
I joined the STDI Lab at the School of Computer Science, Beijing Institute of Technology, as a summer intern.
May 26
I was invited to serve as a reviewer for APWEB 2025.
Mar 17
I served as the host of the Greater Bay Area Computer Science Academic Poster Forum.
Mar 15
2024
My girlfriend, Dr. Yao, was awarded the highest honor of Tianjin University. Congratulations to her!
Dec 08
I was invited to serve as a reviewer for IEEE Big Data 2024.
Oct 15
I started my fully funded M.Phil. studies at the Hong Kong University of Science and Technology (Guangzhou).
Aug 24
I graduated from Tianjin University with the honor of Outstanding Graduate.
Jul 10
2023
I received the Baosteel Outstanding Student Award.
Sep 22
Selected Publications (view all )
Reinforcement Learning for UAV-based Participatory Sensing in Dynamic Environments
Reinforcement Learning for UAV-based Participatory Sensing in Dynamic Environments

Xin Ouyang, Songxin Lei, Xusen Guo, Yutian Jiang, Sijie Ruan, Yuxuan Liang

Submitted to ACM Sigspatial 2026

[Code] [Paper]

Reinforcement Learning for UAV-based Participatory Sensing in Dynamic Environments
Reinforcement Learning for UAV-based Participatory Sensing in Dynamic Environments

Xin Ouyang, Songxin Lei, Xusen Guo, Yutian Jiang, Sijie Ruan, Yuxuan Liang

Submitted to ACM Sigspatial 2026

[Code] [Paper]

Rewarding the Graph Behind the Chain: Topology-Aware Process Supervision for RL and Reasoning Distillation
Rewarding the Graph Behind the Chain: Topology-Aware Process Supervision for RL and Reasoning Distillation

Weilin Ruan, Songxin Lei, Haomin Wen, Zhuoming Zhu, Xixuan Hao, Hao Li, Yuxuan Liang

Submitted to EMNLP 2026

[Code] [Paper]

Rewarding the Graph Behind the Chain: Topology-Aware Process Supervision for RL and Reasoning Distillation
Rewarding the Graph Behind the Chain: Topology-Aware Process Supervision for RL and Reasoning Distillation

Weilin Ruan, Songxin Lei, Haomin Wen, Zhuoming Zhu, Xixuan Hao, Hao Li, Yuxuan Liang

Submitted to EMNLP 2026

[Code] [Paper]

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation

Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang

Submitted to CIKM 2026

[Code] [Paper] [Deployment]

A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation
A Game-Theoretic Spatio-Temporal Reinforcement Learning Framework for Collaborative Public Resource Allocation

Songxin Lei, Qiongyan Wang, Yanchen Zhu, Hanyu Yao, Sijie Ruan, Weilin Ruan, Yuyu Luo, Huaming Wu, Yuxuan Liang

Submitted to CIKM 2026

[Code] [Paper] [Deployment]

Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System
Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System

Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang

ACM SIGKDD (CCF-A) 2026, Jeju, South Korea Oral (Top 6.1%)

[Code] [Paper] [Data]

Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System
Hierarchical Reinforcement Learning for Cooperative Air-Ground Delivery in Urban System

Songxin Lei, Chunming Ma, Haomin Wen, Yexin Li, Lizhenghe Chen, Qianyu Yang, Fugee Tsung, Lei Chen, Sijie Ruan, Yuxuan Liang

ACM SIGKDD (CCF-A) 2026, Jeju, South Korea Oral (Top 6.1%)

[Code] [Paper] [Data]

ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting
ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting

Weilin Ruan, Siru Zhong, Haomin Wen, Songxin Lei, Yongzheng Liu, Xingchen Zou, Yuxuan Liang

Submitted to ACM MM 2026

[Code] [Paper]

ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting
ViST: Harnessing Vision Transformation and Reconstruction for Multi-modal Spatio-temporal Forecasting

Weilin Ruan, Siru Zhong, Haomin Wen, Songxin Lei, Yongzheng Liu, Xingchen Zou, Yuxuan Liang

Submitted to ACM MM 2026

[Code] [Paper]

Federated MADDPG-Based Collaborative Scheduling Strategy in Vehicular Edge Computing
Federated MADDPG-Based Collaborative Scheduling Strategy in Vehicular Edge Computing

Songxin Lei, Huijun Tang, Chuangyi Li, Xueying Zhang, Chenli Xu, Huaming Wu

IEEE Transactions on Mobile Computing (CCF-A, SCI Q1 Top)

[Paper]

Federated MADDPG-Based Collaborative Scheduling Strategy in Vehicular Edge Computing
Federated MADDPG-Based Collaborative Scheduling Strategy in Vehicular Edge Computing

Songxin Lei, Huijun Tang, Chuangyi Li, Xueying Zhang, Chenli Xu, Huaming Wu

IEEE Transactions on Mobile Computing (CCF-A, SCI Q1 Top)

[Paper]

An empirical study of the anchoring effect in llms: existence, mechanism, and potential mitigations
An empirical study of the anchoring effect in llms: existence, mechanism, and potential mitigations

Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He

ICLR 2026 Workshop, HCAIR

[Paper] [Data]

An empirical study of the anchoring effect in llms: existence, mechanism, and potential mitigations
An empirical study of the anchoring effect in llms: existence, mechanism, and potential mitigations

Yiming Huang, Biquan Bie, Zuqiu Na, Weilin Ruan, Songxin Lei, Yutao Yue, Xinlei He

ICLR 2026 Workshop, HCAIR

[Paper] [Data]

Dissatisfaction feedback and stackelberg game-based task offloading mechanism for parked vehicle edge computing
Dissatisfaction feedback and stackelberg game-based task offloading mechanism for parked vehicle edge computing

Songxin Lei, Xinyao Guo, Junyi Li, Yixiao Wang, Yu Zhang, Lu Zheng, Huaming Wu

IEEE Transactions on Vehicular Technology (SCI Q2 Top)

[Paper]

Dissatisfaction feedback and stackelberg game-based task offloading mechanism for parked vehicle edge computing
Dissatisfaction feedback and stackelberg game-based task offloading mechanism for parked vehicle edge computing

Songxin Lei, Xinyao Guo, Junyi Li, Yixiao Wang, Yu Zhang, Lu Zheng, Huaming Wu

IEEE Transactions on Vehicular Technology (SCI Q2 Top)

[Paper]

Honors & Awards
  • Bronze Tier reviewer distinction within the IJCAI-ECAI 2026
    2026
  • Outstanding Graduate of Tianjin University, Tianjin, China
    2024
  • Baosteel Excellent Student Award (Top 0.02%), China
    2023
  • Top Ten Student Role Models at the School of Mathematics, Tianjin University, Tianjin, China
    2023
  • Tianjin University Outstanding Student, Excellent Student Cadre, Tianjin, China
    2023
  • Second Prize in the Tianjin Division of the National College Student Mathematical Modeling Competition, Tianjin, China
    2022
Extracurricular Activities
  • ACM Member
    2026
  • Program Committee of KDD 2026
    2026
  • Reviewer of IJCAI 2026
    2026
  • Program Committee of AAAI 2026
    2025
  • Reviewer of IEEE BigData & ADVEI & APWeb
    2024
  • National Undergraduate Innovation Program Leader, China
    2022-2023
  • Host of the Beiyang Lecture Hall, Tianjin, China
    2020-2021