Zhennan Wang - RankMe

25 papers A* 8Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unified Peptide Generative Framework via a Weakly Order-Dependent Autoregressive Language Model and Lifelong Learning. J. Chem. Inf. Model. Zhiwei Nie, Daixi Li, Yutian Liu, Fan Xu, Hongyu Zhang, Xiansong Huang, Xudong Liu, Zhennan Wang, Yiming Ma, Yuxin Ye, Feng Yin, Wen-Bin Zhang, Zhixiang Ren, Zhihong Liu, Zigang Li, Jie Chen
2025	J	`jnl`	A unified evolution-driven deep learning framework for virus variation driver prediction. Nat. Mac. Intell. Zhiwei Nie, Xudong Liu, Jie Chen, Zhennan Wang, Yutian Liu, Haorui Si, Tianyi Dong, Fan Xu, Guoli Song, Yu Wang, Peng Zhou, Wen Gao, Yonghong Tian
2025	J	`jnl`	Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. Int. J. Comput. Vis. Pengchong Qiao, Yu Wang, Chang Liu, Lei Shang, Baigui Sun, Zhennan Wang, Xiawu Zheng, Rongrong Ji, Jie Chen
2023	A*	`conf`	ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation. CVPR Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen
2023	A*	`conf`	Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation. CVPR Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen
2023	A*	`conf`	LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization. ICCV Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen
2023	A*	`conf`	Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. ICCV Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
2023	J	`jnl`	Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. CoRR Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen
2023	J	`jnl`	Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian
2023	A*	`conf`	TG-VQA: Ternary Game of Video Question Answering. IJCAI Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen
2023	J	`jnl`	TG-VQA: Ternary Game of Video Question Answering. CoRR Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen
2023	A*	`conf`	Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. IJCAI Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen
2023	J	`jnl`	Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. CoRR Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen
2022	J	`jnl`	Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization. CoRR Zhennan Wang, Kehan Li, Runyi Yu, Yian Zhao, Pengchong Qiao, Guoli Song, Fan Xu, Jie Chen
2022	J	`jnl`	Dynamic Clustering Network for Unsupervised Semantic Segmentation. CoRR Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Li Yuan, Jie Chen
2022	—	`conf`	Locality Guidance for Improving Vision Transformers on Tiny Datasets. ECCV (24) Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen
2022	J	`jnl`	Locality Guidance for Improving Vision Transformers on Tiny Datasets. CoRR Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen
2022	J	`jnl`	PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation. CoRR Pengchong Qiao, Zhidan Wei, Yu Wang, Chang Liu, Zhennan Wang, Guoli Song, Jie Chen
2022	J	`jnl`	Position Embedding Needs an Independent Layer Normalization. CoRR Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Yian Zhao, Jian Zhang, Guoli Song, Jie Chen
2020	J	`jnl`	DMA Regularization: Enhancing Discriminability of Neural Networks by Decreasing the Minimal Angle. IEEE Signal Process. Lett. Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
2020	A*	`conf`	MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles. NeurIPS Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
2020	J	`jnl`	MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles. CoRR Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu
2020	J	`jnl`	Matrix Capsule Convolutional Projection for Deep Feature Learning. IEEE Signal Process. Lett. Canqun Xiang, Zhennan Wang, Shishun Tian, Jianxin Liao, Wenbin Zou, Chen Xu
2019	A*	`conf`	PR Product: A Substitute for Inner Product in Neural Networks. ICCV Zhennan Wang, Wenbin Zou, Chen Xu
2019	J	`jnl`	PR Product: A Substitute for Inner Product in Neural Networks. CoRR Zhennan Wang, Wenbin Zou, Chen Xu