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Enzhi Zhang
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2020 – today
- 2024
- [j4]Rui Zhong, Binnan Tu, Enzhi Zhang, Masaharu Munetomo:
Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments. Evol. Intell. 17(5): 3483-3503 (2024) - [j3]Enzhi Zhang
, Mohamed Wahib, Rui Zhong
Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics 28(1): 67-78 (2024) - [j2]Rui Zhong
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. 80(9): 12186-12217 (2024) - [j1]Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong
Meta generative image and text data augmentation optimization. J. Supercomput. 80(9): 12644-12662 (2024) - [c12]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377 - [c11]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966 - [c10]Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib:
Validation Loss Landscape Exploration with Deep Q-Learning. IJCNN 2024: 1-9 - [c9]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib:
Adaptive Patching for High-resolution Image Segmentation with Transformers. SC 2024: 76 - [i9]Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo:
Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR abs/2404.09707 (2024) - [i8]Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024) - [i7]Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024) - [i6]Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo:
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR abs/2406.05436 (2024) - [i5]Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. CoRR abs/2406.09215 (2024) - 2023
- [c8]Rui Zhong
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC 2023: 1-10 - [c7]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) 2023: 5506-5520 - [c6]Ruqin Wang, Wataru Noguchi, Enzhi Zhang, Koki Osada, Masahito Yamamoto:
Robust Animal Tracking and Stereotypical Behavior Detection Under Real Environment Using Temporal Averaging Background Subtraction. IntelliSys (2) 2023: 857-875 - [c5]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023 - [c4]Rui Zhong
A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA 2023: 74-84 - [c3]Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo:
Training Knowledge Inheritance Through Deep Q-Net. SMC 2023: 899-904 - [i4]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR abs/2310.13590 (2023) - [i3]Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023) - 2022
- [c2]Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo:
Learning from the Past: Regularization by Validation. SCIS/ISIS 2022: 1-8 - [i2]Rui Zhong, Enzhi Zhang, Masaharu Munetomo:
Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning. CoRR abs/2209.13077 (2022) - [i1]Rui Zhong, Enzhi Zhang, Masaharu Munetomo:
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR abs/2210.06814 (2022)
2010 – 2019
- 2018
- [c1]Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada
An Object Matrix Input Format for a Deep AI in Angry Birds and the Like. GCCE 2018: 596-598
Coauthor Index
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