Enzhi Zhang - RankMe

38 papers A* 3A 1B 7Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	CWTLNet: Ultra-Short-Term Cryptocurrency Forecasting with Wavelet-Enhanced Deep Architecture. SMC Xingbang Du, Yang Cao, Enzhi Zhang, Rui Zhong, Masaharu Munetomo
2025	J	`jnl`	Competitive differential evolution with knowledge inheritance for single-objective human-powered aircraft design. J. Supercomput. Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
2025	B	`conf`	Improved Competitive Swarm Optimizer with Linear Population Reduction for Large-scale Optimization. CEC Rui Zhong, Jun Yu, Xingbang Du, Enzhi Zhang, Abdelazim G. Hussien
2025	A*	`conf`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. ICLR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	J	`jnl`	NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation. CoRR Zhiyuan Liu, Yanchen Luo, Han Huang, Enzhi Zhang, Sihang Li, Junfeng Fang, Yaorui Shi, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2025	J	`jnl`	Paradigm Shift in Infrastructure Inspection Technology: Leveraging High-performance Imaging and Advanced AI Analytics to Inspect Road Infrastructure. CoRR Du Wu, Enzhi Zhang, Isaac Lyngaas, Xiao Wang, Amir Ziabari, Tao Luo, Peng Chen, Kento Sato, Fumiyoshi Shoji, Takaki Hatsui, Kentaro Uesugi, Akira Seo, Yasuhito Sakai, Toshio Endo, Tetsuya Ishikawa, Satoshi Matsuoka, Mohamed Wahib
2025	B	`conf`	SAM2v-BTR: Accelerating SAM 2 Training for 3D Medical Image Segmentation Through Bootstrap and Memory Annealing. SMC Enzhi Zhang, Junichiro Iwasawa, Keita Oda, Yuta Tokuoka
2025	J	`jnl`	Vision transformer-based meta loss landscape exploration with actor-critic method. J. Supercomput. Enzhi Zhang, Rui Zhong, Xingbang Du, Mohamed Wahib, Masaharu Munetomo
2024	A	`conf`	Adaptive Patching for High-resolution Image Segmentation with Transformers. SC Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Masaharu Munetomo, Mohamed Wahib
2024	J	`jnl`	Adaptive Patching for High-resolution Image Segmentation with Transformers. CoRR Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao Wang, Jun Igarashi, Yuankai Huo, Mohamed Wahib, Masaharu Munetomo
2024	J	`jnl`	Cooperative coevolutionary differential evolution with adjacent intensity matrix with linkage identification for large-scale optimization problems in noisy environments. Evol. Intell. Rui Zhong, Binnan Tu, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Cooperative coevolutionary surrogate ensemble-assisted differential evolution with efficient dual differential grouping for large-scale expensive optimization problems. Complex Intell. Syst. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Evolutionary multi-mode slime mold optimization: a hyper-heuristic algorithm inspired by slime mold foraging behaviors. J. Supercomput. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Introducing Competitive Mechanism to Differential Evolution for Numerical Optimization. CoRR Rui Zhong, Yang Cao, Enzhi Zhang, Masaharu Munetomo
2024	J	`jnl`	Learning from the Past Training Trajectories: Regularization by Validation. J. Adv. Comput. Intell. Intell. Informatics Enzhi Zhang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024	J	`jnl`	Meta generative image and text data augmentation optimization. J. Supercomput. Enzhi Zhang, Bochen Dong, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2024	A*	`conf`	On Softmax Direct Preference Optimization for Recommendation. NeurIPS Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
2024	J	`jnl`	On Softmax Direct Preference Optimization for Recommendation. CoRR Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
2024	—	`conf`	Optimization of Hydro Generation and Load Forecasting Based On LSTNet. OLA Xingbang Du, Enzhi Zhang
2024	—	`conf`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	—	`conf`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	J	`jnl`	ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua
2024	B	`conf`	Unnecessary Budget Reduction in Federated Active Learning. ICTAI Enzhi Zhang, Liu Yang
2024	B	`conf`	Validation Loss Landscape Exploration with Deep Q-Learning. IJCNN Enzhi Zhang, Rui Zhong, Masaharu Munetomo, Mohamed Wahib
2023	—	`conf`	A Hierarchical Cooperative Coevolutionary Approach to Solve Very Large-Scale Traveling Salesman Problem. OLA Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2023	B	`conf`	Adjacent Intensity Matrix with Linkage Identification for Large-Scale Optimization in Noisy Environments. CEC Rui Zhong, Binan Tu, Enzhi Zhang, Masaharu Munetomo
2023	J	`jnl`	Cooperative coevolutionary differential evolution with linkage measurement minimization for large-scale optimization problems in noisy environments. Complex Intell. Syst. Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2023	—	`conf`	ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
2023	J	`jnl`	ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang
2023	A*	`conf`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	J	`jnl`	Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
2023	—	`conf`	Robust Animal Tracking and Stereotypical Behavior Detection Under Real Environment Using Temporal Averaging Background Subtraction. IntelliSys (2) Ruqin Wang, Wataru Noguchi, Enzhi Zhang, Koki Osada, Masahito Yamamoto
2023	B	`conf`	Training Knowledge Inheritance Through Deep Q-Net. SMC Enzhi Zhang, Ruqin Wang, Mohamed Wahib, Rui Zhong, Masaharu Munetomo
2022	J	`jnl`	Accelerating the Evolutionary Algorithms by Gaussian Process Regression with ε-greedy acquisition function. CoRR Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2022	J	`jnl`	Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning. CoRR Rui Zhong, Enzhi Zhang, Masaharu Munetomo
2022	—	`conf`	Learning from the Past: Regularization by Validation. SCIS/ISIS Enzhi Zhang, Mohamed Wahib, Masaharu Munetomo
2018	—	`conf`	An Object Matrix Input Format for a Deep AI in Angry Birds and the Like. GCCE Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada, Ruck Thawonmas