Haibin Wen

According to our database, Haibin Wen authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

Autogenesis: A Self-Evolving Agent Protocol.

Wentao Zhang, Zhe Zhao, Haibin Wen, Yingcheng Wu, Ming Yin, Bo An, Mengdi Wang

CoRR, April, 2026

ResearchEVO: An End-to-End Framework for Automated Scientific Discovery and Documentation.

Zhe Zhao, Haibin Wen, Jiaming Ma, Jiachang Zhan, Tianyi Xu, Ye Wei, Qingfu Zhang

CoRR, April, 2026

Logos: An evolvable reasoning engine for rational molecular design.

Haibin Wen, Zhe Zhao, Fanfu Wang, Tianyi Xu, Hao Zhang, Chao Yang, Ye Wei

CoRR, March, 2026

EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems.

Wentao Zhang, Jianfeng Wang, Liheng Liang, Yilei Zhao, Haibin Wen, Zhe Zhao

CoRR, February, 2026

2025

Evolution without an Oracle: Driving Effective Evolution with LLM Judges.

Zhe Zhao, Yuheng Yang, Haibin Wen, Xiaojie Qiu, Zaixi Zhang, Qingfu Zhang

CoRR, November, 2025

Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks.

Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang

IEEE Trans. Knowl. Data Eng., March, 2025

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution.

Zhe Zhao, Haibin Wen, Pengkun Wang, Ye Wei, Zaixi Zhang, Xi Lin, Fei Liu, Bo An, Hui Xiong, Yang Wang, Qingfu Zhang

CoRR, March, 2025

Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data.

Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis.

Zhe Zhao, Pengkun Wang, Haibin Wen, Shuang Wang, Liheng Yu, Yang Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts.

Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems.

Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning.

Zhe Zhao, Pengkun Wang, Haibin Wen, Wei Xu, Song Lai, Qingfu Zhang, Yang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints.

Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks.

Zhe Zhao, Pengkun Wang, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

IoT Equipment Monitoring System Based on C5.0 Decision Tree and Time-Series Analysis.

Biaokai Zhu, Xinyi Hou, Sanman Liu, Wanli Ma, Meiya Dong, Haibin Wen, Qing Wei, Sixuan Du, Yufeng Zhang

IEEE Access, 2022

2017

Load balanced and efficient data collection protocol for wireless sensor networks.

Jumin Zhao, Deng-ao Li, Haibin Wen, Qingming Tang

Int. J. High Perform. Comput. Netw., 2017