Enzhi Zhang

According to our database, Enzhi Zhang authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors.

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

J. Supercomput., June, 2024

Meta generative image and text data augmentation optimization.

Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo

J. Supercomput., June, 2024

Learning from the Past Training Trajectories: Regularization by Validation.

Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo

J. Adv. Comput. Intell. Intell. Informatics, January, 2024

Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments.

Rui Zhong, Binnan Tu, Enzhi Zhang, Masaharu Munetomo

Evol. Intell., 2024

On Softmax Direct Preference Optimization for Recommendation.

Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua

CoRR, 2024

Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization.

Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo

CoRR, 2024

Adaptive Patching for High-resolution Image Segmentation with Transformers.

Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo

CoRR, 2024

Validation Loss Landscape Exploration with Deep Q-Learning.

Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib

Proceedings of the International Joint Conference on Neural Networks, 2024

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding.

Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining.

Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Training Knowledge Inheritance Through Deep Q-Net.

Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem.

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

Proceedings of the Optimization and Learning - 6th International Conference, 2023

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules.

Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust Animal Tracking and Stereotypical Behavior Detection Under Real Environment Using Temporal Averaging Background Subtraction.

Ruqin Wang, Wataru Noguchi, Enzhi Zhang, Koki Osada, Masahito Yamamoto

Proceedings of the Intelligent Systems and Applications, 2023

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.

Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments.

Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function.

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

CoRR, 2022

Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning.

Rui Zhong, Enzhi Zhang, Masaharu Munetomo

CoRR, 2022

Learning from the Past: Regularization by Validation.

Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2018

An Object Matrix Input Format for a Deep AI in Angry Birds and the Like.

Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada, Ruck Thawonmas

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018