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ORCIDSiyuan Li 0002
李思远
Person information
- unicode name: 李思远
- affiliation: Westlake University, School of Engineering, Hangzhou, China
- affiliation (former): Alibaba Group (China), Hangzhou, China
- affiliation (former): Nanjing University, Department of Computer Science and Technology, China
Other persons with the same name
- Siyuan Li — disambiguation page
- Siyuan Li 0001 — Tianjin University, College of Intelligence and Computing, China
- Siyuan Li 0003 — Harbin Institute of Technology, Faculty of Computing, China (and 1 more)
- Siyuan Li 0004
![[0000-0002-2354-4233]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2354-4233")
— Southwest University of Science and Technology, Mianyang, China - Siyuan Li 0005 — Shanghai Jiao Tong University, School of Cyber Science and Engineering, China
- Siyuan Li 0006 — Shenzhen University, College of Physics and Optoelectronic Engineering, China (and 1 more)
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2020 – today
- 2025
[j5]Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 286-298 (2025)- 2024
- [j4]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. 36(33): 20849-20861 (2024) - [j3]Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li:
GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. 36(2): 640-651 (2024) - [j2]Fang Wu, Siyuan Li, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(12): 7998-8008 (2024) - [c35]Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi:
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations. AAAI 2024: 4334-4342 - [c34]Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. AAAI 2024: 12662-12670 - [c33]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CVPR 2024: 1292-1302 - [c32]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training. ECCV (40) 2024: 305-322 - [c31]Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li:
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c30]Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li:
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR 2024 - [c29]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. ICLR 2024 - [c28]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
MogaNet: Multi-order Gated Aggregation Network. ICLR 2024 - [c27]Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li:
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR 2024 - [c26]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. ICML 2024 - [c25]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. ICML 2024 - [c24]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML 2024 - [c23]Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li:
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML 2024 - [c22]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. IJCAI 2024: 4614-4622 - [c21]Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li:
Instructor-inspired Machine Learning for Robust Molecular Property Prediction. NeurIPS 2024 - [c20]Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo:
TopoFR: A Closer Look at Topology Alignment on Face Recognition. NeurIPS 2024 - [c19]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. NeurIPS 2024 - [c18]Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li:
UniIF: Unified Molecule Inverse Folding. NeurIPS 2024 - [i52]Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i51]Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - [i50]Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge. CoRR abs/2402.11459 (2024) - [i49]Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li:
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR abs/2402.14391 (2024) - [i48]Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun:
FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio. CoRR abs/2403.01901 (2024) - [i47]Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li:
LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory. CoRR abs/2404.11163 (2024) - [i46]Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li:
Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR abs/2405.10348 (2024) - [i45]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li:
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR abs/2405.10812 (2024) - [i44]Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li:
UniIF: Unified Molecule Inverse Folding. CoRR abs/2405.18968 (2024) - [i43]Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning. CoRR abs/2405.20834 (2024) - [i42]Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li:
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models. CoRR abs/2406.01627 (2024) - [i41]Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li:
Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions. CoRR abs/2406.05688 (2024) - [i40]Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li:
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences. CoRR abs/2406.08128 (2024) - [i39]Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li:
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph. CoRR abs/2406.10840 (2024) - [i38]Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li:
A Survey on Mixup Augmentations and Beyond. CoRR abs/2409.05202 (2024) - [i37]Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li:
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning. CoRR abs/2410.06373 (2024) - [i36]Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo:
TopoFR: A Closer Look at Topology Alignment on Face Recognition. CoRR abs/2410.10587 (2024) - [i35]Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li:
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR abs/2411.01856 (2024) - [i34]Jingxuan Wei, Cheng Tan, Qi Chen, Gaowei Wu, Siyuan Li, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo:
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing. CoRR abs/2411.11916 (2024) - [i33]Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li:
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. CoRR abs/2412.18827 (2024) - 2023
- [c17]Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR 2023: 18770-18782 - [c16]Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li:
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CVPR 2023: 23141-23150 - [c15]Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li:
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR 2023 - [c14]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML 2023: 20149-20167 - [c13]Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li:
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching. ICML 2023: 37511-37523 - [c12]Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li:
Harnessing Hard Mixed Samples with Decoupled Regularizer. NeurIPS 2023 - [c11]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. NeurIPS 2023 - [c10]Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. NeurIPS 2023 - [c9]Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li:
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS 2023 - [i32]Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li:
Explaining Graph Neural Networks via Non-parametric Subgraph Matching. CoRR abs/2301.02780 (2023) - [i31]Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li:
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CoRR abs/2303.05725 (2023) - [i30]Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li:
Lightweight Contrastive Protein Structure-Sequence Transformation. CoRR abs/2303.11783 (2023) - [i29]Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu:
InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems. CoRR abs/2304.03906 (2023) - [i28]Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li:
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning. CoRR abs/2306.11249 (2023) - [i27]Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li:
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration. CoRR abs/2306.13769 (2023) - [i26]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR abs/2307.12626 (2023) - [i25]Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li:
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - [i24]Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li:
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR abs/2310.05829 (2023) - [i23]Yufei Huang, Siyuan Li, Jin Su, Lirong Wu, Odin Zhang, Haitao Lin, Jingqi Qi, Zihan Liu, Zhangyang Gao, Yuyang Liu, Jiangbin Zheng, Stan Z. Li:
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction. CoRR abs/2310.11466 (2023) - [i22]Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li:
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training. CoRR abs/2311.14109 (2023) - [i21]Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li:
MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR abs/2312.06297 (2023) - 2022
- [j1]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Deep manifold embedding of attributed graphs. Neurocomputing 514: 83-93 (2022) - [c8]Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li:
Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC 2022: 268 - [c7]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CIKM 2022: 1360-1368 - [c6]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CVPR 2022: 7234-7245 - [c5]Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) 2022: 441-458 - [c4]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) 2022: 576-592 - [c3]Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li:
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV 2022: 1668-1676 - [i20]Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li:
Decoupled Mixup for Data-efficient Learning. CoRR abs/2203.10761 (2022) - [i19]Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan:
neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. CoRR abs/2204.12440 (2022) - [i18]Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li:
Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions. CoRR abs/2205.07266 (2022) - [i17]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i16]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CoRR abs/2206.00845 (2022) - [i15]Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR abs/2206.12126 (2022) - [i14]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. CoRR abs/2207.03160 (2022) - [i13]Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection. CoRR abs/2207.03809 (2022) - [i12]Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li:
Are Gradients on Graph Structure Reliable in Gray-box Attacks? CoRR abs/2208.05514 (2022) - [i11]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li:
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR abs/2209.04851 (2022) - [i10]Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li:
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation. CoRR abs/2211.00526 (2022) - [i9]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - [i8]Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li:
Non-equispaced Fourier Neural Solvers for PDEs. CoRR abs/2212.04689 (2022) - 2021
- [c2]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) 2021: 713-728 - [i7]Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup. CoRR abs/2103.13027 (2021) - [i6]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. CoRR abs/2104.13048 (2021) - [i5]Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR abs/2106.15788 (2021) - [i4]Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. CoRR abs/2110.14553 (2021) - [i3]Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li:
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR abs/2111.15454 (2021) - 2020
- [c1]Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du:
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking. IJCAI 2020: 708-715 - [i2]Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li:
Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR abs/2009.09590 (2020) - [i1]Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li:
Invertible Manifold Learning for Dimension Reduction. CoRR abs/2010.04012 (2020)
Coauthor Index
[j5] [j4] [j3] [j2] [c35] [c34] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c19] [c18] [i52] [i51] [i50] [i49] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i33] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [j1] [c8] [c7] [c6] [c5] [c4] [c3] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [c2] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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