Zhe Zhao

According to our database, Zhe Zhao authored at least 25 papers between 2024 and 2026.

Collaborative distances:

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

2026

A Systematic Survey on Large Language Models for Algorithm Design.

Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Xi Lin, Zhe Zhao, Xialiang Tong, Kun Mao, Zhichao Lu, Zhenkun Wang, Mingxuan Yuan, Qingfu Zhang

ACM Comput. Surv., June, 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

FaLW: A Forgetting-aware Loss Reweighting for Long-tailed Unlearning.

Liheng Yu, Zhe Zhao, Yuxuan Wang, Pengkun Wang, Binwu Wang, Yang Wang

CoRR, January, 2026

From Memorization to Creation: Evaluating the Cognitive Depth of LLM?Generated Educational Questions.

Xiaolong Wang, Zhe Zhao, Song Lai, Chaoli Zhang, Zijie Geng, Yu Tong, Ye Wei, Qingsong Wen

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective.

Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition.

Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting.

Jiaming Ma, Zhiqing Cui, Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Yang Wang

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

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off.

Song Lai, Zhe Zhao, Fei Zhu, Xi Lin, Qingfu Zhang, Gaofeng Meng

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

2024

Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting.

Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai, Yang Wang

IEEE Trans. Intell. Transp. Syst., October, 2024

A Systematic Survey on Large Language Models for Algorithm Design.

Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

CoRR, 2024

When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification.

Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang

Proceedings of the ACM on Web Conference 2024, 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

MMDFND: Multi-modal Multi-Domain Fake News Detection.

Yu Tong, Weihai Lu, Zhe Zhao, Song Lai, Tong Shi

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network.

Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Hongbin Liu, Qingfu Zhang, Gaofeng Meng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity.

Binwu Wang, Pengkun Wang, Zhengyang Zhou, Zhe Zhao, Wei Xu, Yang Wang

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

XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model.

Liheng Yu, Pengkun Wang, Zhe Zhao, Zhongchao Yi, Sun Nan, Di Wu, Yang Wang

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