Siyuan Li

According to our database, Siyuan Li authored at least 73 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discovering the Representation Bottleneck of Graph Neural Networks.

Fang Wu, Siyuan Li, Stan Z. Li

IEEE Trans. Knowl. Data Eng., December, 2024

Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework.

Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

Neural Comput. Appl., November, 2024

GNN Cleaner: Label Cleaner for Graph Structured Data.

Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li

IEEE Trans. Knowl. Data Eng., February, 2024

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction.

Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li

CoRR, 2024

TopoFR: A Closer Look at Topology Alignment on Face Recognition.

Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo

CoRR, 2024

Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning.

Siyuan Li, Juanxi Tian, Zedong Wang, Luyuan Zhang, Zicheng Liu, Weiyang Jin, Yang Liu, Baigui Sun, Stan Z. Li

CoRR, 2024

A Survey on Mixup Augmentations and Beyond.

Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li

CoRR, 2024

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph.

Haitao Lin, Guojiang Zhao, Odin Zhang, Yufei Huang, Lirong Wu, Zicheng Liu, Siyuan Li, Cheng Tan, Zhifeng Gao, Stan Z. Li

CoRR, 2024

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based Interactions.

Cheng Tan, Dongxin Lyu, Siyuan Li, Zhangyang Gao, Jingxuan Wei, Siqi Ma, Zicheng Liu, Stan Z. Li

CoRR, 2024

GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models.

Zicheng Liu, Jiahui Li, Siyuan Li, Zelin Zang, Cheng Tan, Yufei Huang, Yajing Bai, Stan Z. Li

CoRR, 2024

Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning.

Cheng Tan, Jingxuan Wei, Linzhuang Sun, Zhangyang Gao, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

CoRR, 2024

UniIF: Unified Molecule Inverse Folding.

Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li

CoRR, 2024

Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning.

Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li

CoRR, 2024

Switch EMA: A Free Lunch for Better Flatness and Sharpness.

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

CoRR, 2024

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond.

Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li

CoRR, 2024

LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory.

Zicheng Liu, Li Wang, Siyuan Li, Zedong Wang, Haitao Lin, Stan Z. Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning.

Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling.

Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences.

Zicheng Liu, Siyuan Li, Li Wang, Zedong Wang, Yunfan Liu, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge.

Yufei Huang, Odin Zhang, Lirong Wu, Cheng Tan, Haitao Lin, Zhangyang Gao, Siyuan Li, Stan Z. Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding.

Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MogaNet: Multi-order Gated Aggregation Network.

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SemiReward: A General Reward Model for Semi-supervised Learning.

Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement.

Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design.

Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z. Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training.

Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, Bihui Yu, Stan Z. Li

Proceedings of the Computer Vision - ECCV 2024, 2024

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio.

Chao Xu, Yang Liu, Jiazheng Xing, Weida Wang, Mingze Sun, Jun Dan, Tianxin Huang, Siyuan Li, Zhi-Qi Cheng, Ying Tai, Baigui Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations.

Xuesong Nie, Yunfeng Yan, Siyuan Li, Cheng Tan, Xi Chen, Haoyuan Jin, Zhihang Zhu, Stan Z. Li, Donglian Qi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction.

Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MMDesign: Multi-Modality Transfer Learning for Generative Protein Design.

Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li

CoRR, 2023

Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training.

Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Xihong Yang, Stan Z. Li

CoRR, 2023

Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction.

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

CoRR, 2023

Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View.

Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li

CoRR, 2023

Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework.

Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Bihui Yu, Ruifeng Guo, Stan Z. Li

CoRR, 2023

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration.

Haitao Lin, Yufei Huang, Haotian Zhang, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li

CoRR, 2023

InstructBio: A Large-scale Semi-supervised Learning Paradigm for Biochemical Problems.

Fang Wu, Huiling Qin, Siyuan Li, Stan Z. Li, Xianyuan Zhan, Jinbo Xu

CoRR, 2023

Lightweight Contrastive Protein Structure-Sequence Transformation.

Jiangbin Zheng, Ge Wang, Yufei Huang, Bozhen Hu, Siyuan Li, Cheng Tan, Xinwen Fan, Stan Z. Li

CoRR, 2023

Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Lirong Wu, Dragomir Radev, Yinghui Jiang, Xurui Jin, Zhangming Niu, Stan Z. Li

CoRR, 2023

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration.

Haitao Lin, Yufei Huang, Odin Zhang, Yunfan Liu, Lirong Wu, Siyuan Li, Zhiyuan Chen, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning.

Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang, Zicheng Liu, Lirong Wu, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Harnessing Hard Mixed Samples with Decoupled Regularizer.

Zicheng Liu, Siyuan Li, Ge Wang, Lirong Wu, Cheng Tan, Stan Z. Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching.

Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li

Proceedings of the International Conference on Machine Learning, 2023

Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules.

Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment.

Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning.

Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep manifold embedding of attributed graphs.

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

Neurocomputing, 2022

Non-equispaced Fourier Neural Solvers for PDEs.

Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li

CoRR, 2022

Efficient Multi-order Gated Aggregation Network.

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li

CoRR, 2022

Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation.

Jiangbin Zheng, Siyuan Li, Cheng Tan, Chong Wu, Yidong Chen, Stan Z. Li

CoRR, 2022

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning.

Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li

CoRR, 2022

UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection.

Zelin Zang, Yongjie Xu, Yulan Geng, Siyuan Li, Stan Z. Li

CoRR, 2022

DLME: Deep Local-flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning.

Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li

CoRR, 2022

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN.

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2022

Discovering the Representation Bottleneck of Graph Neural Networks from Multi-order Interactions.

Fang Wu, Siyuan Li, Lirong Wu, Dragomir R. Radev, Qiang Zhang, Stan Z. Li

CoRR, 2022

neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning.

Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan

CoRR, 2022

Decoupled Mixup for Data-efficient Learning.

Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li

CoRR, 2022

Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation.

Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DLME: Deep Local-Flatness Manifold Embedding.

Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

Proceedings of the Computer Vision - ECCV 2022, 2022

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers.

Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li

Proceedings of the Computer Vision, 2022

Hyperspherical Consistency Regularization.

Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Are Gradients on Graph Structure Reliable in Gray-box Attacks?

Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Exploring Localization for Self-supervised Fine-grained Contrastive Learning.

Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup.

Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li

CoRR, 2021

GenURL: A General Framework for Unsupervised Representation Learning.

Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li

CoRR, 2021

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment.

Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li

CoRR, 2021

Unsupervised Deep Manifold Attributed Graph Embedding.

Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li

CoRR, 2021

AutoMix: Unveiling the Power of Mixup.

Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li

CoRR, 2021

Invertible Manifold Learning for Dimension Reduction.

Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

2020

Deep Clustering and Representation Learning that Preserves Geometric Structures.

Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li

CoRR, 2020

TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking.

Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020