Jun Wang - RankMe

28 papers A* 3A 3Misc 2Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Elucidating the design space of language models for image generation. ICML Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao
2024	J	`jnl`	Elucidating the design space of language models for image generation. CoRR Xuantong Liu, Shaozhe Hao, Xianbiao Qi, Tianyang Hu, Jun Wang, Rong Xiao, Yuan Yao
2024	J	`jnl`	Hierarchical visual-semantic interaction for scene text recognition. Inf. Fusion Liang Diao, Xin Tang, Jun Wang, Guotong Xie, Junlin Hu
2023	Misc	`conf`	Filter Pruning Via Filters Similarity in Consecutive Layers. ICASSP Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
2023	J	`jnl`	Filter Pruning via Filters Similarity in Consecutive Layers. CoRR Xiaorui Wang, Jun Wang, Xin Tang, Peng Gao, Rui Fang, Guotong Xie
2023	J	`jnl`	Improving drug-target affinity prediction via feature fusion and knowledge distillation. Briefings Bioinform. Ruiqiang Lu, Jun Wang, Pengyong Li, Yuquan Li, Shuoyan Tan, Yiting Pan, Huanxiang Liu, Peng Gao, Guotong Xie, Xiaojun Yao
2022	J	`jnl`	CandidateDrug4Cancer: An Open Molecular Graph Learning Benchmark on Drug Discovery for Cancer. CoRR Xianbin Ye, Ziliang Li, Fei Ma, Zongbi Yi, Pengyong Li, Jun Wang, Peng Gao, Yixuan Qiao, Guotong Xie
2022	Misc	`conf`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. ISWC Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	J	`jnl`	HCL: Improving Graph Representation with Hierarchical Contrastive Learning. CoRR Jun Wang, Weixun Li, Changyu Hou, Xin Tang, Yixuan Qiao, Rui Fang, Pengyong Li, Peng Gao, Guotong Xie
2022	J	`jnl`	Molecular substructure graph attention network for molecular property identification in drug discovery. Pattern Recognit. Xianbin Ye, Quanlong Guan, Weiqi Luo, Liangda Fang, Zhao-Rong Lai, Jun Wang
2022	J	`jnl`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stage Ranking. CoRR Yixuan Qiao, Hao Chen, Yongquan Lai, Jun Wang, Tuozhen Liu, Xianbin Ye, Rui Fang, Peng Gao, Wenfeng Xie, Guotong Xie
2022	A	`conf`	Parallel and Robust Text Rectifier for Scene Text Recognition. BMVC Bingcong Li, Xin Tang, Jun Wang, Liang Diao, Rui Fang, Guotong Xie, Weifu Chen
2022	—	`conf`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	J	`jnl`	SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao
2022	A*	`conf`	Understanding Square Loss in Training Overparametrized Neural Network Classifiers. NeurIPS Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
2022	A	`conf`	Visual-Semantic Transformer for Scene Text Recognition. BMVC Liang Diao, Xin Tang, Jun Wang, Rui Fang, Guotong Xie, Weifu Chen
2021	J	`jnl`	An effective self-supervised framework for learning expressive molecular global representations to drug discovery. Briefings Bioinform. Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2021	J	`jnl`	Automated vertebral landmarks and spinal curvature estimation using non-directional part affinity fields. Neurocomputing Cheng Zhang, Jun Wang, Jian He, Peng Gao, Guotong Xie
2021	—	`conf`	PASH at TREC 2021 Deep Learning Track: Generative Enhanced Model for Multi-stageRankingtrack: DL. TREC Yixuan Qiao, Hao Chen, Tuozhen Liu, Xianbin Ye, Jun Wang, Peng Gao, Guotong Xie
2021	A*	`conf`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. IJCAI Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Sen Song, Guotong Xie
2021	J	`jnl`	Pairwise Half-graph Discrimination: A Simple Graph-level Self-supervised Strategy for Pre-training Graph Neural Networks. CoRR Pengyong Li, Jun Wang, Ziliang Li, Yixuan Qiao, Xianggen Liu, Fei Ma, Peng Gao, Seng Song, Guotong Xie
2021	J	`jnl`	Understanding Square Loss in Training Overparametrized Neural Network Classifiers. CoRR Tianyang Hu, Jun Wang, Wenjia Wang, Zhenguo Li
2021	J	`jnl`	Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model. CoRR Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie
2020	J	`jnl`	Learn molecular representations from large-scale unlabeled molecules for drug discovery. CoRR Pengyong Li, Jun Wang, Yixuan Qiao, Hao Chen, Yihuan Yu, Xiaojun Yao, Peng Gao, Guotong Xie, Sen Song
2020	—	`conf`	PASH at TREC 2020 Deep Learning Track: Dense Matching for Nested Ranking. TREC Yixuan Qiao, Hao Chen, Liyu Cao, Liping Chen, Pengyong Li, Jun Wang, Peng Gao, Yuan Ni, Guotong Xie
2020	A	`conf`	Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. BMVC Jun Wang, Shaoguo Wen, Jianghua Yu, Kaixing Chen, Xin Zhou, Peng Gao, Guotong Xie, Changsheng Li
2020	J	`jnl`	Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions. CoRR Jun Wang, Shaoguo Wen, Kaixing Chen, Jianghua Yu, Xin Zhou, Peng Gao, Changsheng Li, Guotong Xie
2020	—	`conf`	Unsupervised Domain Adaptation for Cross-Device OCT Lesion Detection via Learning Adaptive Features. ISBI Suhui Yang, Xia Zhou, Jun Wang, Guotong Xie, Chuanfeng Lv, Peng Gao, Bin Lv