Jianlin Su

According to our database, Jianlin Su authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoFormer: Enhanced transformer with Rotary Position Embedding.

Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, Yunfeng Liu

Neurocomputing, February, 2024

Towards Robust Learning with Noisy and Pseudo Labels for Text Classification.

Murtadha H. M. Ahmed, Bo Wen, Luo Ao, Shengfeng Pan, Jianlin Su, Xinxin Cao, Yunfeng Liu

Inf. Sci., 2024

Naive Bayes-based Context Extension for Large Language Models.

Jianlin Su, Murtadha H. M. Ahmed, Wen Bo, Luo Ao, Mingren Zhu, Yunfeng Liu

CoRR, 2024

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks.

Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen

CoRR, 2024

2023

Elucidating the Exposure Bias in Diffusion Models.

Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul

CoRR, 2023

Rank-Aware Negative Training for Semi-Supervised Text Classification.

Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu

CoRR, 2023

Minimum Entropy Principle Guided Graph Neural Networks.

Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images.

Rui Li, Shunyi Zheng, Ce Zhang, Chenxi Duan, Jianlin Su, Libo Wang, Peter M. Atkinson

IEEE Trans. Geosci. Remote. Sens., 2022

Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images.

Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su, Ce Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Performance prediction analysis of college aerobics course based on Back Propagation neural network.

Yanxi Chen, Jianlin Su, Hao Zheng

Int. J. Comput. Intell. Stud., 2022

Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition.

Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu

CoRR, 2022

ZLPR: A Novel Loss for Multi-label Classification.

Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu

CoRR, 2022

BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis.

Ahmed Murtadha, Shengfeng Pan, Bo Wen, Jianlin Su, Wenze Zhang, Yunfeng Liu

CoRR, 2022

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection.

Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZARTS: On Zero-order Optimization for Neural Architecture Search.

Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation.

Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao

CoRR, 2021

RoFormer: Enhanced Transformer with Rotary Position Embedding.

Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, Yunfeng Liu

CoRR, 2021

Whitening Sentence Representations for Better Semantics and Faster Retrieval.

Jianlin Su, Jiarun Cao, Weijie Liu, Yangyiwen Ou

CoRR, 2021

Few-Shot Learning for Chinese NLP Tasks.

Liang Xu, Xiaojing Lu, Chenyang Yuan, Xuanwei Zhang, Hu Yuan, Huilin Xu, Guoao Wei, Xiang Pan, Junyi Li, Jianlin Su, Zhenyu Yang, Renfen Hu, Hai Hu

Proceedings of the Natural Language Processing and Chinese Computing, 2021

BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models.

Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing, 2021

2020

Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images.

Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng

CoRR, 2020

Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images.

Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su

CoRR, 2020

Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation.

Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng

CoRR, 2020

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.

Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy.

Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li

CoRR, 2019

A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations.

Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang

CoRR, 2019

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks.

Jianlin Su

CoRR, 2019

Artist Style Transfer Via Quadratic Potential.

Rahul Bhalley, Jianlin Su

CoRR, 2019

Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification.

Hao Ren, Jianlin Su, Hong Lu

CoRR, 2019

Rectified Exponential Units for Convolutional Neural Networks.

Yao Ying, Jianlin Su, Peng Shan, Ligang Miao, Xiaolian Wang, Silong Peng

IEEE Access, 2019

2018

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint.

Jianlin Su

CoRR, 2018

Training Generative Adversarial Networks Via Turing Test.

Jianlin Su

CoRR, 2018

f-VAEs: Improve VAEs with Conditional Flows.

Jianlin Su, Guang Wu

CoRR, 2018

Variational Inference: A Unified Framework of Generative Models and Some Revelations.

Jianlin Su

CoRR, 2018