Publications

2025

  1. WWW
    LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System
    Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, and Hui Xiong
    In ACM Web Conference (WWW), 2025
    Oral Presentation
    Website PDF Code Poster Slides
  2. ICMLW
    Towards Constraint-aware Learning for Resource Allocation in NFV Networks
    Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, and Hui Xiong
    In ICML 2025 Workshop on Machine Learning for Wireless Communication and Networks (ML4Wireless), 2025
    Best Paper Award (1 / 33 accepted papers)
    PDF Code
  3. VLDB
    MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management
    Liwei Deng*, Tianfu Wang*, Yan Zhao, and Kai Zheng
    In International Conference on Very Large Data Bases (VLDB), 2025
    PDF Code
  4. VLDB
    Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search
    Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, and Kai Zheng
    In International Conference on Very Large Data Bases (VLDB), 2025
    PDF Code
  5. IJCAI
    CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
    Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Zhenya Huang, Junyu Lu, and Shuanghong Shen
    In International Joint Conference on Artificial Intelligence (IJCAI), 2025
    PDF Code
  6. ICDE
    Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification
    Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, and Kai Zheng
    In IEEE International Conference on Data Engineering (ICDE), 2025
    PDF Code
  7. EMNLP
    TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
    Wei Wu, Zhuoshi Pan, Chao Wang, Liyi Chen, Yunchu Bai, Tianfu Wang, Kun Fu, Zheng Wang, and Hui Xiong
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    PDF
  8. EMNLP
    Explaining Length Bias in LLM-Based Preference Evaluations
    Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhenyu Chen, Jianxun Lian, Nicholas Jing Yuan, Kaize Ding, and Hui Xiong
    In Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
    PDF
  9. JSA
    GNN-based Deep Reinforcement Learning for Computation Task Scheduling in Autonomous Multi-Robot Systems
    Wen Gao, Zhiwen Yu, Tianfu Wang, Liang Wang, Helei Cui, Bin Guo, and Hui Xiong
    Journal of Systems Architecture: Embedded Software Design (JSA), 2025
    PDF
  10. TGCN
    IKENGA: Infeasibility Knowledge Enhanced Genetic Algorithm for Virtual Network Embedding
    Fei Wang, Qilin Fan, Tianfu Wang, Xu Zhang, Xiuhua Li, and Hao Yin
    IEEE Transactions on Green Communications and Networking (TGCN), 2025
    PDF

2024

  1. KDD
    COMET: NFT Price Prediction with Wallet Profiling
    Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, and Hui Xiong
    In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
    PDF Code Poster Slides
  2. IJCAI
    FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
    Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, and Hui Xiong
    In International Joint Conference on Artificial Intelligence (IJCAI), 2024
    PDF Code Poster Slides
  3. IJCAI
    DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
    Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, and Yanyong Zhang
    In International Joint Conference on Artificial Intelligence (IJCAI), 2024
    PDF

2023

  1. TSC
    Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning
    Tianfu Wang, Shen Li, Qilin Fan, Tong Xu, Tongliang Liu, and Hui Xiong
    IEEE Transaction on Services Computing (TSC), 2023
    PDF Code
  2. MM
    Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning
    Huiguo He, Tianfu Wang, Huan Yang, Jianlong Fu, Nicholas Jing Yuan, Jian Yin, Hongyang Chao, and Qi Zhang
    In ACM International Conference on Multimedia (MM), 2023
    PDF
  3. AES
    GAT-IL: A Service Function Chain Deployment Method Based on Graph Attention Network and Imitation Learning
    Qilin Fan, Yue Niu, Hao Yin, Tianfu Wang, Xiuhua Li, and Jinlong Hao
    Acta Electronica Sinica (电子学报), 2023
    PDF

2021

  1. ICC
    DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning
    Tianfu Wang, Qilin Fan, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, and Min Gao
    In IEEE International Conference on Communications (ICC), 2021
    PDF Code