Xing Tang

Xing Tang

Associate Professor

School of Artificial Intelligence, Shenzhen Technology University

Xing Tang is an Associate Professor in the School of Artificial Intelligence at Shenzhen Technology University (SZTU). He received his Ph.D. in Computer Science from Xidian University in 2016 under the supervision of Prof. Qiguang Miao. After graduation, he joined Huawei Noah's Ark Lab, where he worked with Dr. Xiuqiang He and Dr. Ruiming Tang. He later spent time at Tencent ARC Lab, working with Dr. Ying Shan. His current research focuses on recommender systems and personalized large language models (LLMs), with three closely related directions: recommendation modeling, personalized LLM agents, and applications of these technologies in finance.
Recommender SystemsPersonalized LLMsAI for Finance

I welcome visiting researchers and research collaborations. Please contact me if you are interested.

01

News

  1. Five papers were accepted by WSDM 2027: three in the main conference and two in Findings.

  2. I will serve as an Area Chair for ICASSP 2027.

  3. I will serve as a PC member for IJCAI 2027 and The Web Conference 2027.

  4. I will serve as an Area Chair for ICML 2027.

  5. One paper on complex financial agents was accepted by Findings of EMNLP 2026.

  6. I will serve as a PC member for WSDM 2027 and DASFAA 2027.

  7. I will serve as an Area Chair for ICLR 2027.

  8. One paper on multi-behavior sequential recommendation was accepted by WISE 2026, and two papers on test-time retrieval augmentation and autoregressive retrieval for sequential recommendation were accepted by CIKM 2026.

  9. I will serve as an Area Chair for the KDD 2027 Research and ADS tracks (First Cycle).

  10. One paper on tool selection was accepted by ACM MM 2026.

02

Selected Publications

* Co-first author # Corresponding author

Full publication list
  1. 01 2026

    Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation

    Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang # , Xiuqiang He, Xue Liu

    Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

    PDF Code Project
  2. 02 2026

    Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA

    Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Xiku Du, Weihong Luo, Xiuqiang He

    Proceedings of the ACM Web Conference 2026,WebConf

    PDF Project
  3. 03 2025

    Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

    Ziqiang Cui, Yunpeng Weng, Xing Tang # , Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma #

    39th Annual Conference on Neural Information Processing Systems, NeurIPS

    PDF Code Project
  4. 04 2025

    Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction

    Xing Tang, Chaohua Yang * , Yuwen Fu * , Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He

    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

    PDF Project
  5. 05 2025

    Timing is Important: Risk-Aware Fund Allocation Based on Time-Series Forecasting

    Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang

    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

    PDF Code Project
  6. 06 2025

    Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics

    Shiwei Li, Xiandi Luo, Xing Tang # , Haozhao Wang # , Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li #

    42nd International Conference on Machine Learning, ICML

    PDF Code Project
  7. 07 2024

    OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction

    Yunpeng Weng * , Xing Tang * , Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He

    Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM

    PDF Code Project
  8. 08 2024

    Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

    Xing Tang, Yang Qiao * , Fuyuan Lyu * , Dugang Liu, Xiuqiang He

    Proceedings of the 18th ACM Conference on Recommender Systems, RecSys

    PDF Code Project
  9. 09 2023

    Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

    Fuyuan Lyu, Xing Tang # , Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

    37th Annual Conference on Neural Information Processing Systems, NeurIPS

    PDF Code Project
  10. 10 2023

    Optimizing Feature Set for Click-Through Rate Prediction

    Fuyuan Lyu * , Xing Tang * , Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

    Proceedings of the ACM Web Conference 2023, WebConf

    PDF Code Project

03

Service

Conferences

Senior Area Chair / Area Chair

  • KDD 2025, 2026, 2027
  • ICML 2027
  • ICLR 2026, 2027
  • NeurIPS 2026
  • ICASSP 2026, 2027

Conferences

Program Committee Member

Data Mining
KDD (2019–2025), ICDM (2025–), ECML-PKDD (2024–), DASFAA (2027)
Information Retrieval
SIGIR (2025–), WebConf (2024–), RecSys (2024–), WSDM (2024–), CIKM (2023–)
Machine Learning
NeurIPS (2024–2025), ICML (2024–), ICLR (2025), AISTATS (2025–)
Artificial Intelligence
AAAI (2024–), IJCAI (2024–), ACM MM (2025–), ACL ARR (2026)
Journal Reviewer 11 journals
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • ACM Transactions on Information Systems (TOIS)
  • ACM Transactions on Recommender Systems (TORS)
  • Neural Networks (NeuNet)
  • Pattern Recognition (PR)
  • Knowledge-Based Systems (KNOSYS)
  • Engineering Applications of Artificial Intelligence (EAAI)
  • Expert Systems with Applications (ESWA)
  • Neurocomputing (NeuCom)
  • Computers & Security (COSE)

04

Group

Intelligent Information and Decision Lab (I.I.D Lab)

Ph.D. Students

  • Yuhao Wu

    co-supervised with Prof. Dugang LiuWISE 2026

  • Haoran Wang

    visiting Ph.D. student

  • Haolin Yang

    co-supervised with Prof. Xiuqiang He

Master's Students

  • Zhentai Chen

    co-supervised with Prof. Jingyan Jianginternship at Ant Group · SIGIR 2026

  • Jun Zhang

    co-supervised with Prof. Dugang Liuinternship at JD.com · SIGIR 2026

  • Hailong Qi

    co-supervised with Prof. Dugang Liu

  • Yonglin Wei

    co-supervised with Prof. Dugang Liu

Undergraduate Students

  • Peipeng Zhang
  • Zhuanglin Chen
  • Xiongfeng Shan

Alumni

  • Jingyang Bin

    RecSys 2026, CIKM 2026, KDD 2026

  • Hanchong Chen

    now at The Hong Kong Polytechnic University

05

Teaching

  1. 01

    Fundamentals of Programming Languages

  2. 02

    Python Programming

  3. 03

    Machine Learning System