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Cheng Tan 0012
Person information
- affiliation: Westlake University, AI Lab, School of Engineering, Hangzhou, China
- affiliation (former): Northwest A&F University, College of Information Engineering, Xianyang, China
Other persons with the same name
- Cheng Tan — disambiguation page
- Cheng Tan 0001
— QuFu Normal University, Rizhao, Shandong, China (and 1 more)
- Cheng Tan 0002
- Cheng Tan 0003 — University of New South Wales, Sydney, NSW, Australia
- Cheng Tan 0004
- Cheng Tan 0005
- Cheng Tan 0006 — Wuhan University, Wuhan, China
- Cheng Tan 0007 — Canon Information Technology Co. Ltd., Beijing, China
- Cheng Tan 0008 — Shandong University, Jinan, Shandong, China
- Cheng Tan 0009 — Beihang University, Beijing, China
- Cheng Tan 0010 — Computational Aerodynamics Institute, Mianyang, China
- Cheng Tan 0011 — Aerospace Information Research Institute, Chinese Academy of Sciences, China
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2020 – today
- 2024
- [j7]Jingxuan Wei
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Neural Comput. Appl. 36(33): 20849-20861 (2024) - [j6]Jun Xia
GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. 36(2): 640-651 (2024) - [j5]Hanqun Cao
A Survey on Generative Diffusion Models. IEEE Trans. Knowl. Data Eng. 36(7): 2814-2830 (2024) - [j4]Lirong Wu
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8497-8509 (2024) - [c37]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. AAAI 2024: 310-319 - [c36]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 - [c35]Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI 2024: 15222-15230 - [c34]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CVPR 2024: 11704-11714 - [c33]Zhe Li, Zhangyang Gao, Cheng Tan, Bocheng Ren, Laurence T. Yang, Stan Z. Li:
General Point Model Pretraining with Autoencoding and Autoregressive. CVPR 2024: 20954-20964 - [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]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. ICASSP 2024: 1801-1805 - [c30]Cheng Tan, Yijie Zhang
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design. ICLR 2024 - [c29]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. ICLR 2024 - [c28]Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR 2024 - [c27]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 - [c26]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 - [c25]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 - [c24]Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li:
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML 2024 - [c23]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML 2024 - [c22]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 - [c21]Jingxuan Wei, Cheng Tan, Zhangyang Gao, Linzhuang Sun, Bihui Yu, Ruifeng Guo, Stan Z. Li:
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency. ECML/PKDD (3) 2024: 3-20 - [i61]Siyuan Li, Luyuan Zhang, Zedong Wang
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024) - [i60]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR abs/2401.06727 (2024) - [i59]Zhe Li, Laurence T. Yang, Bocheng Ren, Xin Nie, Zhangyang Gao, Cheng Tan, Stan Z. Li:
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning. CoRR abs/2402.02045 (2024) - [i58]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights. CoRR abs/2402.02088 (2024) - [i57]Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li:
A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR abs/2402.02464 (2024) - [i56]Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu, Haitao Lin, Zicheng Liu, Stan Z. Li:
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction. CoRR abs/2402.08198 (2024) - [i55]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) - [i54]Bozhen Hu, Zelin Zang, Cheng Tan, Stan Z. Li:
Deep Manifold Transformation for Protein Representation Learning. CoRR abs/2402.09416 (2024) - [i53]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) - [i52]Tianyu Fan, Lirong Wu, Yufei Huang, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks. CoRR abs/2403.01400 (2024) - [i51]Zhangyang Gao, Cheng Tan, Jue Wang, Yufei Huang, Lirong Wu, Stan Z. Li:
FoldToken: Learning Protein Language via Vector Quantization and Beyond. CoRR abs/2403.09673 (2024) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]Zhangyang Gao, Cheng Tan, Stan Z. Li:
FoldToken2: Learning compact, invariant and generative protein structure language. CoRR abs/2407.00050 (2024) - [i43]Lirong Wu, Haitao Lin, Guojiang Zhao, Cheng Tan, Stan Z. Li:
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting. CoRR abs/2409.05573 (2024) - [i42]Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li:
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR abs/2410.15010 (2024) - [i41]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) - 2023
- [j3]Lirong Wu
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. 35(4): 4216-4235 (2023) - [c20]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 - [c19]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 - [c18]Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li:
Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP 2023: 1-5 - [c17]Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li:
Global-Context Aware Generative Protein Design. ICASSP 2023: 1-5 - [c16]Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li:
Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP 2023: 1-5 - [c15]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. ICLR 2023 - [c14]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 - [c13]Xihong Yang
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia 2023: 319-327 - [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]Zhangyang Gao, Cheng Tan, Yijie Zhang, Xingran Chen, Lirong Wu, Stan Z. Li:
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics. 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 - [c8]Lirong Wu, Cheng Tan, Zihan Liu, Zhangyang Gao, Haitao Lin, Stan Z. Li:
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs. ECML/PKDD (3) 2023: 3-18 - [c7]Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li:
Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) 2023: 405-421 - [c6]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-Aware Molecular Graph Generation. ECML/PKDD (6) 2023: 410-427 - [i40]Zhangyang Gao, Cheng Tan, Stan Z. Li:
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints. CoRR abs/2301.09642 (2023) - [i39]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. CoRR abs/2301.10774 (2023) - [i38]Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li:
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR abs/2302.07120 (2023) - [i37]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) - [i36]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) - [i35]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. CoRR abs/2305.09480 (2023) - [i34]Zhangyang Gao, Cheng Tan, Stan Z. Li:
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR abs/2305.15151 (2023) - [i33]Zhangyang Gao, Xingran Chen, Cheng Tan, Stan Z. Li:
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing. CoRR abs/2305.15153 (2023) - [i32]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) - [i31]Jingxuan Wei
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework. CoRR abs/2307.12626 (2023) - [i30]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i29]Siyuan Li, Weiyang Jin, Zedong Wang
SemiReward: A General Reward Model for Semi-supervised Learning. CoRR abs/2310.03013 (2023) - [i28]Zhangyang Gao, Cheng Tan, Stan Z. Li:
VQPL: Vector Quantized Protein Language. CoRR abs/2310.04985 (2023) - [i27]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) - [i26]Zhe Li, Zhangyang Gao, Cheng Tan, Stan Z. Li, Laurence T. Yang:
General Point Model with Autoencoding and Autoregressive. CoRR abs/2310.16861 (2023) - [i25]Bozhen Hu, Bin Gao, Cheng Tan, Tongle Wu, Stan Z. Li:
Segment Anything in Defect Detection. CoRR abs/2311.10245 (2023) - [i24]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) - [i23]Yijie Zhang, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models. CoRR abs/2312.04019 (2023) - [i22]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
- [j2]Lirong Wu
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34(11): 9087-9101 (2022) - [c5]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CVPR 2022: 3160-3170 - [c4]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CVPR 2022: 7234-7245 - [c3]Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li:
OT Cleaner: Label Correction as Optimal Transport. ICASSP 2022: 3953-3957 - [c2]Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) 2022: 519-535 - [i21]Zhangyang Gao, Cheng Tan, Stan Z. Li:
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR abs/2202.01079 (2022) - [i20]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-aware Molecular Graph Generation. CoRR abs/2202.04829 (2022) - [i19]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR abs/2202.08205 (2022) - [i18]Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li:
Decoupled Mixup for Data-efficient Learning. CoRR abs/2203.10761 (2022) - [i17]Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li:
Generative De Novo Protein Design with Global Context. CoRR abs/2204.10673 (2022) - [i16]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CoRR abs/2206.00845 (2022) - [i15]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CoRR abs/2206.05099 (2022) - [i14]Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR abs/2206.12126 (2022) - [i13]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
CoSP: Co-supervised pretraining of pocket and ligand. CoRR abs/2206.12241 (2022) - [i12]Hanqun Cao, Cheng Tan, Zhangyang Gao, Guangyong Chen, Pheng-Ann Heng, Stan Z. Li:
A Survey on Generative Diffusion Model. CoRR abs/2209.02646 (2022) - [i11]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. CoRR abs/2209.12643 (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
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - [i8]Cheng Tan, Zhangyang Gao, Stan Z. Li:
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR abs/2211.12509 (2022) - [i7]Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li:
Protein Language Models and Structure Prediction: Connection and Progression. CoRR abs/2211.16742 (2022) - [i6]Cheng Tan, Zhangyang Gao, Stan Z. Li:
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR abs/2212.14041 (2022) - 2021
- [c1]Cheng Tan, Jun Xia
Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia 2021: 1405-1413 - [i5]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR abs/2105.07342 (2021) - [i4]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction. CoRR abs/2106.11133 (2021) - [i3]Cheng Tan, Jun Xia
Co-learning: Learning from Noisy Labels with Self-supervision. CoRR abs/2108.04063 (2021) - [i2]Zhangyang Gao, Haitao Lin, Cheng Tan, Lirong Wu, Stan Z. Li:
Git: Clustering Based on Graph of Intensity Topology. CoRR abs/2110.01274 (2021) - [i1]Haitao Lin, Cheng Tan, Lirong Wu, Zhangyang Gao, Stan Z. Li:
Extensive Deep Temporal Point Process. CoRR abs/2110.09823 (2021) - 2020
- [j1]Bin Liu
A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification. IEEE Access 8: 102188-102198 (2020)
Coauthor Index
[j7] [j5] [j4] [c37] [c35] [c34] [c33] [c32] [c30] [c29] [c28] [c25] [c24] [c23] [c21] [i59] [i58] [i57] [i56] [i53] [i52] [i51] [i49] [i48] [i46] [i44] [i42] [i41] [j3] [c20] [c17] [c15] [c14] [c11] [c10] [c9] [c8] [c7] [c6] [i40] [i39] [i38] [i35] [i34] [i33] [i32] [i31] [i28] [i27] [i26] [i24] [i23] [i22] [c5] [c4] [c2] [i21] [i20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i8] [i6] [i5] [i4] [i2] [i1]
[j7] [j6] [j5] [j4] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [j3] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [j2] [c5] [c4] [c3] [c2] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [c1] [i5] [i4] [i3] [i2] [i1]
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