Tianfu Wang

According to our database, Tianfu Wang authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation.

Xinrui Li, Qilin Fan, Tianfu Wang, Kaiwen Wei, Ke Yu, Xu Zhang

CoRR, August, 2025

Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV.

Tianfu Wang, Liwei Deng, Xi Chen, Junyang Wang, Huiguo He, Leilei Ding, Wei Wu, Qilin Fan, Hui Xiong

CoRR, July, 2025

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study.

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong

CoRR, June, 2025

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.

Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang

CoRR, May, 2025

A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents.

Yuting Huang, Leilei Ding, Zhipeng Tang, Tianfu Wang, Xinrui Lin, Wuyang Zhang, Mingxiao Ma, Yanyong Zhang

CoRR, April, 2025

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, Hui Xiong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Exact and Efficient Similar Subtrajectory Search: Integrating Constraints and Simplification.

Liwei Deng, Fei Wang, Tianfu Wang, Yan Zhao, Yuyang Xia, Kai Zheng

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search.

Liwei Deng, Penghao Chen, Ximu Zeng, Tianfu Wang, Yan Zhao, Kai Zheng

Proc. VLDB Endow., November, 2024

MILLION: A General Multi-Objective Framework with Controllable Risk for Portfolio Management.

Liwei Deng, Tianfu Wang, Yan Zhao, Kai Zheng

Proc. VLDB Endow., October, 2024

Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning.

Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong

IEEE Trans. Serv. Comput., 2024

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.

Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong

CoRR, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang

CoRR, 2024

COMET: NFT Price Prediction with Wallet Profiling.

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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, Hui Xiong

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

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, Qi Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2021

DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning.

Tianfu Wang, Qilin Fan, Xiuhua Li, Xu Zhang, Qingyu Xiong, Shu Fu, Min Gao

Proceedings of the ICC 2021, 2021