Variational Inference: A Unified Framework of Generative Models and Some Revelations. - Jianlin Su (CoRR, 2018)

f-VAEs: Improve VAEs with Conditional Flows. - Jianlin Su; Guang Wu (CoRR, 2018)

Training Generative Adversarial Networks Via Turing Test. - Jianlin Su (CoRR, 2018)

GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint. - Jianlin Su (CoRR, 2018)

Rectified Exponential Units for Convolutional Neural Networks. - Yao Ying; Jianlin Su; Peng Shan; Ligang Miao; Xiaolian Wang; Silong Peng (IEEE Access, 2019)

Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification. - Hao Ren 002; Jianlin Su; Hong Lu 001 (CoRR, 2019)

Artist Style Transfer Via Quadratic Potential. - Rahul Bhalley; Jianlin Su (CoRR, 2019)

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks. - Jianlin Su (CoRR, 2019)

A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations. - Zhepei Wei; Jianlin Su; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (CoRR, 2019)

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy. - Bowen Yu 002; Zhenyu Zhang 006; Jianlin Su; Yubin Wang; Tingwen Liu; Bin Wang 004; Sujian Li (CoRR, 2019)

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. - Zhepei Wei; Jianlin Su; Yue Wang 035; Yuan Tian 016; Yi Chang 001 (ACL, 2020)

Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation. - Rui Li 036; Jianlin Su; Chenxi Duan; Shunyi Zheng (CoRR, 2020)

Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images. - Rui Li 036; Shunyi Zheng; Chenxi Duan; Jianlin Su (CoRR, 2020)

Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Rui Li 036; Jianlin Su; Chenxi Duan; Shunyi Zheng (CoRR, 2020)

BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models. - Yi Liu; Guoan Zhang; Puning Yu; Jianlin Su; Shengfeng Pan (SustaiNLP@EMNLP, 2021)

Few-Shot Learning for Chinese NLP Tasks. - Liang Xu 011; Xiaojing Lu; Chenyang Yuan 002; Xuanwei Zhang; Hu Yuan; Huilin Xu; Guoao Wei; Xiang Pan 001; Junyi Li; Jianlin Su; Zhenyu Yang; Renfen Hu; et al. (NLPCC (2), 2021)

Whitening Sentence Representations for Better Semantics and Faster Retrieval. - Jianlin Su; Jiarun Cao; Weijie Liu 002; Yangyiwen Ou (CoRR, 2021)

RoFormer: Enhanced Transformer with Rotary Position Embedding. - Jianlin Su; Yu Lu; Shengfeng Pan; Bo Wen; Yunfeng Liu (CoRR, 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)

ZARTS: On Zero-order Optimization for Neural Architecture Search. - Xiaoxing Wang; Wenxuan Guo; Jianlin Su; Xiaokang Yang 001; Junchi Yan (NeurIPS, 2022)

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. - Ge Zhang 002; Zhenyu Yang 004; Jia Wu 001; Jian Yang 001; Shan Xue 001; Hao Peng 001; Jianlin Su; Chuan Zhou 001; Quan Z. Sheng; Leman Akoglu; Charu C. Aggarwal (NeurIPS, 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)

ZLPR: A Novel Loss for Multi-label Classification. - Jianlin Su; Mingren Zhu; Ahmed Murtadha; Shengfeng Pan; Bo Wen; Yunfeng Liu (CoRR, 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)

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)

Multistage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Rui Li 036; Shunyi Zheng; Chenxi Duan; Jianlin Su; Ce Zhang 005 (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images. - Rui Li 036; Shunyi Zheng; Ce Zhang 005; Chenxi Duan; Jianlin Su; Libo Wang; Peter M. Atkinson (IEEE Trans. Geosci. Remote. Sens., 2022)

Minimum Entropy Principle Guided Graph Neural Networks. - Zhenyu Yang 004; Ge Zhang 002; Jia Wu 001; Jian Yang 001; Quan Z. Sheng; Hao Peng 001; Angsheng Li; Shan Xue 001; Jianlin Su (WSDM, 2023)

Rank-Aware Negative Training for Semi-Supervised Text Classification. - Ahmed Murtadha; Shengfeng Pan; Wen Bo; Jianlin Su; Xinxin Cao; Wenze Zhang; Yunfeng Liu (Trans. Assoc. Comput. Linguistics, 2023)

VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks. - Xiangxiang Chu; Jianlin Su; Bo Zhang 046; Chunhua Shen (ECCV (66), 2024)

Elucidating the Exposure Bias in Diffusion Models. - Mang Ning; Mingxiao Li 002; Jianlin Su; Albert Ali Salah; Itir Önal Ertugrul (ICLR, 2024)

Naive Bayes-based Context Extension for Large Language Models. - Jianlin Su; Murtadha H. M. Ahmed; Bo Wen; Luo Ao; Mingren Zhu; Yunfeng Liu (NAACL-HLT, 2024)

VisionLLaMA: A Unified LLaMA Interface for Vision Tasks. - Xiangxiang Chu; Jianlin Su; Bo Zhang 046; Chunhua Shen (CoRR, 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)

DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space. - Mang Ning; Mingxiao Li 002; Jianlin Su; Haozhe Jia; Lanmiao Liu; Martin Benes 001; Albert Ali Salah; Itir Önal Ertugrul (CoRR, 2024)

BERT-ASC: Auxiliary-sentence construction for implicit aspect learning in sentiment analysis. - Ahmed Murtadha; Bo Wen; Shengfeng Pan; Jianlin Su; Luo Ao; Yunfeng Liu (Expert Syst. Appl., 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)

CoSENT: Consistent Sentence Embedding via Similarity Ranking. - Xiang Huang; Hao Peng 001; Dongcheng Zou; Zhiwei Liu 001; Jianxin Li 002; Kay Liu; Jia Wu 001; Jianlin Su; Philip S. Yu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

RoFormer: Enhanced transformer with Rotary Position Embedding. - Jianlin Su; Murtadha H. M. Ahmed; Yu Lu; Shengfeng Pan; Wen Bo; Yunfeng Liu (Neurocomputing, 2024)

Information Entropy Invariance: Enhancing Length Extrapolation in Attention Mechanisms. - Kewei Li; Yanwen Kong; Yiping Xu; Jianlin Su; Lan Huang 002; Ruochi Zhang; Fengfeng Zhou (CoRR, 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

MoBA: Mixture of Block Attention for Long-Context LLMs. - Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; et al. (CoRR, 2025)

Muon is Scalable for LLM Training. - Jingyuan Liu; Jianlin Su; Xingcheng Yao; Zhejun Jiang; Guokun Lai; Yulun Du; Yidao Qin; Weixin Xu; Enzhe Lu; Junjie Yan; Yanru Chen; Huabin Zheng; et al. (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)