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ORCIDJianlin Su
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2020 – today
- 2024
[j10]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: 125195 (2024)- [j9]Jianlin Su, Murtadha H. M. Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, Yunfeng Liu:
RoFormer: Enhanced transformer with Rotary Position Embedding. Neurocomputing 568: 127063 (2024) - [j8]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: 120160 (2024) - [j7]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: 2800-2813 (2024) - [c8]Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul:
Elucidating the Exposure Bias in Diffusion Models. ICLR 2024 - [c7]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: 7791-7807 - [i24]Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen:
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. CoRR abs/2403.00522 (2024) - [i23]Jianlin Su, Murtadha H. M. Ahmed, Wen Bo, Luo Ao, Mingren Zhu, Yunfeng Liu:
Naive Bayes-based Context Extension for Large Language Models. CoRR abs/2403.17552 (2024) - 2023
- [j6]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): 173-188 (2023) - [j5]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: 771-786 (2023) - [c6]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: 114-122 - [i22]Ahmed Murtadha, Shengfeng Pan, Wen Bo, Jianlin Su, Xinxin Cao, Wenze Zhang, Yunfeng Liu:
Rank-Aware Negative Training for Semi-Supervised Text Classification. CoRR abs/2306.07621 (2023) - [i21]Mang Ning, Mingxiao Li, Jianlin Su, Albert Ali Salah, Itir Önal Ertugrul:
Elucidating the Exposure Bias in Diffusion Models. CoRR abs/2308.15321 (2023) - 2022
- [j4]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): 1 (2022) - [j3]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: 1-5 (2022) - [j2]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: 1-13 (2022) - [c5]Xiaoxing Wang, Wenxuan Guo, Jianlin Su, Xiaokang Yang, Junchi Yan:
ZARTS: On Zero-order Optimization for Neural Architecture Search. NeurIPS 2022 - [c4]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 - [i20]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 abs/2203.11702 (2022) - [i19]Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu:
ZLPR: A Novel Loss for Multi-label Classification. CoRR abs/2208.02955 (2022) - [i18]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 abs/2208.03054 (2022) - 2021
- [c3]Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan:
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. SustaiNLP@EMNLP 2021: 53-57 - [c2]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: 412-421 - [i17]Jianlin Su, Jiarun Cao, Weijie Liu, Yangyiwen Ou:
Whitening Sentence Representations for Better Semantics and Faster Retrieval. CoRR abs/2103.15316 (2021) - [i16]Jianlin Su, Yu Lu, Shengfeng Pan, Bo Wen, Yunfeng Liu:
RoFormer: Enhanced Transformer with Rotary Position Embedding. CoRR abs/2104.09864 (2021) - [i15]Yi Liu, Guoan Zhang, Puning Yu, Jianlin Su, Shengfeng Pan:
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. CoRR abs/2109.12533 (2021) - [i14]Xiaoxing Wang, Wenxuan Guo, Junchi Yan, Jianlin Su, Xiaokang Yang:
ZARTS: On Zero-order Optimization for Neural Architecture Search. CoRR abs/2110.04743 (2021) - [i13]Shaoshi Sun, Zhenyuan Zhang, BoCheng Huang, Pengbin Lei, Jianlin Su, Shengfeng Pan, Jiarun Cao:
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation. CoRR abs/2112.12433 (2021) - 2020
- [c1]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. ACL 2020: 1476-1488 - [i12]Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng:
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation. CoRR abs/2007.14902 (2020) - [i11]Rui Li, Shunyi Zheng, Chenxi Duan, Jianlin Su:
Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images. CoRR abs/2009.02130 (2020) - [i10]Rui Li, Jianlin Su, Chenxi Duan, Shunyi Zheng:
Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. CoRR abs/2011.14302 (2020)
2010 – 2019
- 2019
- [j1]Yao Ying, Jianlin Su, Peng Shan, Ligang Miao, Xiaolian Wang, Silong Peng:
Rectified Exponential Units for Convolutional Neural Networks. IEEE Access 7: 101633-101640 (2019) - [i9]Hao Ren, Jianlin Su, Hong Lu:
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification. CoRR abs/1901.10112 (2019) - [i8]Rahul Bhalley, Jianlin Su:
Artist Style Transfer Via Quadratic Potential. CoRR abs/1902.11108 (2019) - [i7]Jianlin Su:
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks. CoRR abs/1903.01931 (2019) - [i6]Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian, Yi Chang:
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. CoRR abs/1909.03227 (2019) - [i5]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 abs/1909.04273 (2019) - 2018
- [i4]Jianlin Su:
Variational Inference: A Unified Framework of Generative Models and Some Revelations. CoRR abs/1807.05936 (2018) - [i3]Jianlin Su, Guang Wu:
f-VAEs: Improve VAEs with Conditional Flows. CoRR abs/1809.05861 (2018) - [i2]Jianlin Su:
Training Generative Adversarial Networks Via Turing Test. CoRR abs/1810.10948 (2018) - [i1]Jianlin Su:
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint. CoRR abs/1811.07296 (2018)
Coauthor Index
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last updated on 2024-10-07 22:17 CEST by the dblp team
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