Senlin Shu

22 papers A* 7Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
iScript: A Domain-Adapted Large Language Model and Benchmark for Physical Design Tcl Script Generation.
CoRR
Ning Xu, Zhaoyang Zhang, Senlin Shu, Lei Qi, Jiaqi Lv, Wensuo Wang, Tianhao Zhao, Chao Zhang, Zhaohui Yang, Xiangyu Li, Zhaorui Su, Jingshan Li, Xin Geng
2025 J jnl
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
ACM Trans. Intell. Syst. Technol.
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024 J jnl
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
CoRR
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024 J jnl
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
ACM Trans. Intell. Syst. Technol.
Jiayu Hu, Senlin Shu, Beibei Li, Tao Xiang, Zhongshi He
2024 A* conf
Consistent Multi-Class Classification from Multiple Unlabeled Datasets.
ICLR
Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
2024 J jnl
Multiple-Instance Learning from Pairwise Comparison Bags.
ACM Trans. Intell. Syst. Technol.
Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li
2024 J jnl
Multiple-instance Learning from Triplet Comparison Bags.
ACM Trans. Knowl. Discov. Data
Senlin Shu, Deng-Bao Wang, Suqin Yuan, Hongxin Wei, Jiuchuan Jiang, Lei Feng, Min-Ling Zhang
2024 J jnl
Online binary classification from similar and dissimilar data.
Mach. Learn.
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
2023 A* conf
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
AAAI
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 J jnl
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
CoRR
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 — conf
Gemini: A Dual-Task Co-training Model for Partial Label Learning.
AI (1)
Beibei Li, Senlin Shu, Beihong Jin, Tao Xiang, Yiyuan Zheng
2023 J jnl
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.
IEEE Trans. Knowl. Data Eng.
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2022 J jnl
Incorporating multiple cluster centers for multi-label learning.
Inf. Sci.
Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He
2022 J jnl
Regularized Matrix Factorization for Multilabel Learning With Missing Labels.
IEEE Trans. Cybern.
Lei Feng, Jun Huang, Senlin Shu, Bo An
2021 J jnl
Multi-Class Classification from Single-Class Data with Confidences.
CoRR
Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama
2021 A* conf
Multiple-Instance Learning from Similar and Dissimilar Bags.
KDD
Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu
2021 A* conf
Pointwise Binary Classification with Pairwise Confidence Comparisons.
ICML
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2020 A* conf
Can Cross Entropy Loss Be Robust to Label Noise?
IJCAI
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
2020 J jnl
Incorporating Multiple Cluster Centers for Multi-Label Learning.
CoRR
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
2020 A* conf
Learning from Multi-Class Positive and Unlabeled Data.
ICDM
Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li
2020 J jnl
Pointwise Binary Classification with Pairwise Confidence Comparisons.
CoRR
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama
2019 A* conf
Discriminatively Relabel for Partial Multi-label Learning.
ICDM
Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu