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 (GCCE, 2018)

Learning from the Past: Regularization by Validation. - Enzhi Zhang; Mohamed Wahib; Masaharu Munetomo (SCIS/ISIS, 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)

Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. - Rui Zhong; Enzhi Zhang; Masaharu Munetomo (CoRR, 2022)

Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. - Rui Zhong; Binan Tu; Enzhi Zhang; Masaharu Munetomo (CEC, 2023)

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. - Yaorui Shi; An Zhang 003; Enzhi Zhang; Zhiyuan Liu 001; Xiang Wang 010 (EMNLP (Findings), 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 (IntelliSys (2), 2023)

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. - Zhiyuan Liu 001; Yaorui Shi; An Zhang 003; Enzhi Zhang; Kenji Kawaguchi; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2023)

A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. - Rui Zhong; Enzhi Zhang; Masaharu Munetomo (OLA, 2023)

Training Knowledge Inheritance Through Deep Q-Net. - Enzhi Zhang; Ruqin Wang; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (SMC, 2023)

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. - Zhiyuan Liu 001; Yaorui Shi; An Zhang 003; Sihang Li 002; Enzhi Zhang; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ACL (Findings), 2024)

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. - Zhiyuan Liu 001; An Zhang 003; Hao Fei 001; Enzhi Zhang; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ACL (1), 2024)

Unnecessary Budget Reduction in Federated Active Learning. - Enzhi Zhang; Liu Yang (ICTAI, 2024)

Validation Loss Landscape Exploration with Deep Q-Learning. - Enzhi Zhang; Rui Zhong; Masaharu Munetomo; Mohamed Wahib (IJCNN, 2024)

On Softmax Direct Preference Optimization for Recommendation. - Yuxin Chen; Junfei Tan; An Zhang 003; Zhengyi Yang 007; Leheng Sheng; Enzhi Zhang; Xiang Wang 010; Tat-Seng Chua (NeurIPS, 2024)

Adaptive Patching for High-resolution Image Segmentation with Transformers. - Enzhi Zhang; Isaac Lyngaas; Peng Chen 035; Xiao Wang 004; Jun Igarashi; Yuankai Huo; Masaharu Munetomo; Mohamed Wahib (SC, 2024)

Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. - Rui Zhong; Yang Cao; Enzhi Zhang; Masaharu Munetomo (CoRR, 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)

Learning from the Past Training Trajectories: Regularization by Validation. - Enzhi Zhang; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (J. Adv. Comput. Intell. Intell. Informatics, 2024)

Meta generative image and text data augmentation optimization. - Enzhi Zhang; Bochen Dong; Mohamed Wahib; Rui Zhong; Masaharu Munetomo (J. Supercomput., 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., 2024)

Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization. - Rui Zhong; Jun Yu 012; Xingbang Du; Enzhi Zhang; Abdelazim G. Hussien (CEC, 2025)

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. - Zhiyuan Liu 001; Yanchen Luo; Han Huang; Enzhi Zhang; Sihang Li 002; Junfeng Fang; Yaorui Shi; Xiang Wang 010; Kenji Kawaguchi; Tat-Seng Chua (ICLR, 2025)

Vision transformer-based meta loss landscape exploration with actor-critic method. - Enzhi Zhang; Rui Zhong; Xingbang Du; Mohamed Wahib; Masaharu Munetomo (J. Supercomput., 2025)

Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. - Du Wu; Enzhi Zhang; Isaac Lyngaas; Xiao Wang 004; Amir Ziabari; Tao Luo 014; Peng Chen 035; Kento Sato; Fumiyoshi Shoji; Takaki Hatsui; Kentaro Uesugi; Akira Seo; et al. (CoRR, 2025)

Competitive differential evolution with knowledge inheritance for single-objective human-powered aircraft design. - Rui Zhong; Yang Cao; Enzhi Zhang; Masaharu Munetomo (J. Supercomput., 2025)