Jianlin Su

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Diffusion Models

Remote Sensing Images

Semantic Segmentation

Generalization Ability

Top Venues

Int. J. Comput. Intell. Stud.

SustaiNLP@EMNLP

Publications

Ahmed Murtadha, Bo Wen, Shengfeng Pan, Jianlin Su, Luo Ao, Yunfeng Liu
BERT-ASC: Auxiliary-sentence construction for implicit aspect learning in sentiment analysis. Expert Syst. Appl. 258 (2024)
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul
Elucidating the Exposure Bias in Diffusion Models. ICLR (2024)
Jianlin Su, Murtadha H. M. Ahmed, Wen Bo, Luo Ao, Mingren Zhu, Yunfeng Liu
Naive Bayes-based Context Extension for Large Language Models. CoRR (2024)
Jianlin Su, Murtadha H. M. Ahmed, Bo Wen, Luo Ao, Mingren Zhu, Yunfeng Liu
Naive Bayes-based Context Extension for Large Language Models. NAACL-HLT (2024)
Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, Yunfeng Liu
RoFormer: Enhanced transformer with Rotary Position Embedding. Neurocomputing 568 (2024)
Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR (2024)
Murtadha H. M. Ahmed, Bo Wen, Luo Ao, Shengfeng Pan, Jianlin Su, Xinxin Cao, Yunfeng Liu
Towards Robust Learning with Noisy and Pseudo Labels for Text Classification. Inf. Sci. 661 (2024)
Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu
Rank-Aware Negative Training for Semi-Supervised Text Classification. CoRR (2023)
Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul
Elucidating the Exposure Bias in Diffusion Models. CoRR (2023)
Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu
Rank-Aware Negative Training for Semi-Supervised Text Classification. Trans. Assoc. Comput. Linguistics 11 (2023)
Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su
Minimum Entropy Principle Guided Graph Neural Networks. WSDM (2023)
Jianlin Su, Hao Zheng, Yanxi Chen
Performance prediction analysis of college aerobics course based on back propagation neural network. Int. J. Comput. Intell. Stud. 12 (3/4) (2023)
Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition. CoRR (2022)
Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu
ZLPR: A Novel Loss for Multi-label Classification. CoRR (2022)
Ahmed Murtadha, Shengfeng Pan, Bo Wen, Jianlin Su, Wenze Zhang, Yunfeng Liu
BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis. CoRR (2022)
Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su, Ce Zhang
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Rui Li, Shunyi Zheng, Ce Zhang, Chenxi Duan, Jianlin Su, Libo Wang, Peter M. Atkinson
Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan
ZARTS: On Zero-order Optimization for Neural Architecture Search. NeurIPS (2022)
Yanxi Chen, Jianlin Su, Hao Zheng
Performance prediction analysis of college aerobics course based on Back Propagation neural network. Int. J. Comput. Intell. Stud. 11 (4) (2022)
Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS (2022)
Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, Yunfeng Liu
RoFormer: Enhanced Transformer with Rotary Position Embedding. CoRR (2021)
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
Few-Shot Learning for Chinese NLP Tasks. NLPCC (2) (2021)
Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation. CoRR (2021)
Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. SustaiNLP@EMNLP (2021)
Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang
ZARTS: On Zero-order Optimization for Neural Architecture Search. CoRR (2021)
Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. CoRR (2021)
Jianlin Su, Jiarun Cao, Weijie Liu, Yangyiwen Ou
Whitening Sentence Representations for Better Semantics and Faster Retrieval. CoRR (2021)
Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. CoRR (2020)
Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su
Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images. CoRR (2020)
Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation. CoRR (2020)
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL (2020)
Yao Ying, Jianlin Su, Peng Shan, Ligang Miao, Xiaolian Wang, Silong Peng
Rectified Exponential Units for Convolutional Neural Networks. IEEE Access 7 (2019)
Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR (2019)
Bowen Yu, Zhenyu Zhang, Jianlin Su, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. CoRR (2019)
Hao Ren, Jianlin Su, Hong Lu
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification. CoRR (2019)
Jianlin Su
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks. CoRR (2019)
Rahul Bhalley, Jianlin Su
Artist Style Transfer Via Quadratic Potential. CoRR (2019)
Jianlin Su
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint. CoRR (2018)
Jianlin Su
Variational Inference: A Unified Framework of Generative Models and Some Revelations. CoRR (2018)
Jianlin Su, Guang Wu
f-VAEs: Improve VAEs with Conditional Flows. CoRR (2018)
Jianlin Su
Training Generative Adversarial Networks Via Turing Test. CoRR (2018)