Enzhi Zhang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Traveling Salesman

Subcellular Localization

Chemical Reaction

Top Venues

J. Supercomput.

J. Adv. Comput. Intell. Intell. Informatics

Publications

Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics 28 (1) (2024)
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 (2024)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. 80 (9) (2024)
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 (2024)
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 (2024)
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)
Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Meta generative image and text data augmentation optimization. J. Supercomput. 80 (9) (2024)
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 (2024)
Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR (2024)
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)
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 (2023)
Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) (2023)
Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo
Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC (2023)
Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
Training Knowledge Inheritance Through Deep Q-Net. SMC (2023)
Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR (2023)
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)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA (2023)
Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
Learning from the Past: Regularization by Validation. SCIS/ISIS (2022)
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 (2022)
Rui Zhong, Enzhi Zhang, Masaharu Munetomo
Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR (2022)
Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada, Ruck Thawonmas
An Object Matrix Input Format for a Deep AI in Angry Birds and the Like. GCCE (2018)