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李子青
Person information
- unicode name: 李子青
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation (2000 - 2004): Microsoft Research Asia, Beijing, China
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (PhD): University of Surrey, Guilford, UK
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2020 – today
- 2023
[j117]Jinlin Wu, Yuxin Yang, Zhen Lei, Yang Yang, Shukai Chen, Stan Z. Li:
Camera-aware representation learning for person re-identification. Neurocomputing 518: 155-164 (2023)- [j116]Zelin Zang
, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li:
UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks 161: 626-637 (2023) - [j115]Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li:
Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1442-1457 (2023) - [j114]Xiangyu Zhu, Hongyan Fei, Bin Zhang, Tianshuo Zhang, Xiaoyu Zhang, Stan Z. Li, Zhen Lei:
Face Forgery Detection by 3D Decomposition and Composition Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8342-8357 (2023) - [j113]Fang Wu, Nicolas Courty, Shuting Jin, Stan Z. Li:
Improving molecular representation learning with metric learning-enhanced optimal transport. Patterns 4(4): 100714 (2023) - [j112]Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo:
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. IEEE Trans. Inf. Forensics Secur. 18: 4775-4786 (2023) - [j111]Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. IEEE Trans. Knowl. Data Eng. 35(4): 4216-4235 (2023) - [c309]Fang Wu, Dragomir Radev, Stan Z. Li:
Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs. AAAI 2023: 5312-5320 - [c308]Fang Wu, Stan Z. Li:
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations. AAAI 2023: 5321-5329 - [c307]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework. AAAI 2023: 10351-10360 - [c306]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 - [c305]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 - [c304]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. ICLR 2023 - [c303]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 - [c302]Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang:
High-dimensional Clustering onto Hamiltonian Cycle. ICML 2023: 13791-13813 - [c301]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 - [c300]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. ICML 2023: 21794-21812 - [c299]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 - [c298]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. ICML 2023: 37571-37581 - [c297]Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li:
A Systematic Survey of Chemical Pre-trained Models. IJCAI 2023: 6787-6795 - [c296]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 - [c295]Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li:
Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) 2023: 405-421 - [c294]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-Aware Molecular Graph Generation. ECML/PKDD (6) 2023: 410-427 - [c293]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. WWW 2023: 1584-1593 - [i144]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i143]Hao Fang, Ajian Liu, Jun Wan, Sergio Escalera, Chenxu Zhao, Xu Zhang, Stan Z. Li, Zhen Lei:
Surveillance Face Anti-spoofing. CoRR abs/2301.00975 (2023) - [i142]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) - [i141]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) - [i140]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. CoRR abs/2301.10774 (2023) - [i139]Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang:
Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. CoRR abs/2302.03950 (2023) - [i138]Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li:
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR abs/2302.07120 (2023) - [i137]Yufei Huang, Lirong Wu, Haitao Lin, Jiangbin Zheng, Ge Wang, Stan Z. Li:
Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy. CoRR abs/2302.10888 (2023) - [i136]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) - [i135]Tianyi Huang, Stan Z. Li, Xin Yuan, Shenghui Cheng:
Roadmap towards Meta-being. CoRR abs/2303.06795 (2023) - [i134]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) - [i133]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. CoRR abs/2304.00010 (2023) - [i132]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) - [i131]Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang:
High-dimensional Clustering onto Hamiltonian Cycle. CoRR abs/2304.14531 (2023) - [i130]Ajian Liu, Zichang Tan, Zitong Yu, Chenxu Zhao, Jun Wan, Yanyan Liang, Zhen Lei, Du Zhang, Stan Z. Li, Guodong Guo:
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing. CoRR abs/2305.03277 (2023) - [i129]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) - [i128]Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li:
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework. CoRR abs/2305.10758 (2023) - [i127]Zhangyang Gao, Cheng Tan, Stan Z. Li:
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR abs/2305.15151 (2023) - [i126]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) - [i125]Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li:
Dink-Net: Neural Clustering on Large Graphs. CoRR abs/2305.18405 (2023) - [i124]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs. CoRR abs/2306.05628 (2023) - [i123]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) - [i122]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) - [i121]Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li:
Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? CoRR abs/2306.17702 (2023) - [i120]Zihan Liu, Jiaqi Wang, Yun Luo, Shuang Zhao, Wenbin Li, Stan Z. Li:
Efficient Prediction of Peptide Self-assembly through Sequential and Graphical Encoding. CoRR abs/2307.09169 (2023) - [i119]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) - [i118]Yifeng Zhao, Pei Zhang, Stan Z. Li, Sergio Andres Galindo-Torres:
Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method for 3D Solute Transport in Fluid-Particle Systems with Complex Granular Morphologies. CoRR abs/2308.05007 (2023) - [i117]Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li:
Reinforcement Graph Clustering with Unknown Cluster Number. CoRR abs/2308.06827 (2023) - [i116]Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu:
CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR abs/2308.08963 (2023) - [i115]Zelin Zang, Hao Luo, Kai Wang, Panpan Zhang, Fan Wang, Stan Z. Li, Yang You:
Boosting Unsupervised Contrastive Learning Using Diffusion-Based Data Augmentation From Scratch. CoRR abs/2309.07909 (2023) - 2022
- [j110]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Deep manifold embedding of attributed graphs. Neurocomputing 514: 83-93 (2022) - [j109]Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li:
Multi-level disentanglement graph neural network. Neural Comput. Appl. 34(11): 9087-9101 (2022) - [j108]Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li:
ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition. IEEE Trans. Cybern. 52(5): 3422-3433 (2022) - [j107]Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang:
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection. IEEE Trans. Inf. Forensics Secur. 17: 2497-2507 (2022) - [j106]Zichang Tan, Ajian Liu, Jun Wan, Hao Li, Zhen Lei, Guodong Guo, Stan Z. Li:
Cross-Batch Hard Example Mining With Pseudo Large Batch for ID vs. Spot Face Recognition. IEEE Trans. Image Process. 31: 3224-3235 (2022) - [j105]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. Trans. Mach. Learn. Res. 2022 (2022) - [c292]Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li:
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting. AAAI 2022: 7470-7478 - [c291]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) 2022: 8154-8163 - [c290]Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li:
Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC 2022: 268 - [c289]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 - [c288]Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang:
Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. COLING 2022: 7112-7123 - [c287]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CVPR 2022: 3160-3170 - [c286]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CVPR 2022: 7234-7245 - [c285]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 - [c284]Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li:
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification. ECCV (14) 2022: 549-566 - [c283]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 - [c282]Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li:
OT Cleaner: Label Correction as Optimal Transport. ICASSP 2022: 3953-3957 - [c281]Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li:
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. ICML 2022: 24332-24346 - [c280]Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li:
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias. NeurIPS 2022 - [c279]Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li:
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks. NeurIPS 2022 - [c278]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 - [c277]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 - [c276]Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li:
Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. WSDM 2022: 591-598 - [c275]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW 2022: 1070-1079 - [i114]Shun Zhang, Tao Zhang, Stan Z. Li, Shenghui Cheng:
Geo-indistinguishable Mechanisms for Spatial Crowdsourcing via Multi-Objective Evolutionary Optimization. CoRR abs/2201.11300 (2022) - [i113]Zhangyang Gao, Cheng Tan, Stan Z. Li:
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB. CoRR abs/2202.01079 (2022) - [i112]Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li:
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR abs/2202.03104 (2022) - [i111]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Target-aware Molecular Graph Generation. CoRR abs/2202.04829 (2022) - [i110]Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li:
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. CoRR abs/2202.07893 (2022) - [i109]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SemiRetro: Semi-template framework boosts deep retrosynthesis prediction. CoRR abs/2202.08205 (2022) - [i108]Zicheng Liu, Siyuan Li, Ge Wang, Cheng Tan, Lirong Wu, Stan Z. Li:
Decoupled Mixup for Data-efficient Learning. CoRR abs/2203.10761 (2022) - [i107]Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li:
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape. CoRR abs/2204.04379 (2022) - [i106]Haitao Lin, Guojiang Zhao, Lirong Wu, Stan Z. Li:
STONet: A Neural-Operator-Driven Spatio-temporal Network. CoRR abs/2204.08414 (2022) - [i105]Fang Wu, Qiang Zhang, Dragomir R. Radev, Yuyang Wang, Xurui Jin, Yinghui Jiang, Zhangming Niu, Stan Z. Li:
Pre-training of Deep Protein Models with Molecular Dynamics Simulations for Drug Binding. CoRR abs/2204.08663 (2022) - [i104]Fang Wu, Qiang Zhang, Xurui Jin, Yinghui Jiang, Stan Z. Li:
A Score-based Geometric Model for Molecular Dynamics Simulations. CoRR abs/2204.08672 (2022) - [i103]Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li:
Generative De Novo Protein Design with Global Context. CoRR abs/2204.10673 (2022) - [i102]Xiangyu Zhu, Tingting Liao, Jiangjing Lyu, Xiang Yan, Yunfeng Wang, Kan Guo, Qiong Cao, Stan Z. Li, Zhen Lei:
MVP-Human Dataset for 3D Human Avatar Reconstruction from Unconstrained Frames. CoRR abs/2204.11184 (2022) - [i101]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) - [i100]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) - [i99]Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li:
Hyperspherical Consistency Regularization. CoRR abs/2206.00845 (2022) - [i98]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
SimVP: Simpler yet Better Video Prediction. CoRR abs/2206.05099 (2022) - [i97]Cheng Tan, Zhangyang Gao, Siyuan Li, Yongjie Xu, Stan Z. Li:
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CoRR abs/2206.12126 (2022) - [i96]Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li:
CoSP: Co-supervised pretraining of pocket and ligand. CoRR abs/2206.12241 (2022) - [i95]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) - [i94]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) - [i93]Haitao Lin, Lirong Wu, Guojiang Zhao, Pai Liu, Stan Z. Li:
Exploring Generative Neural Temporal Point Process. CoRR abs/2208.01874 (2022) - [i92]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) - [i91]Zihan Liu, Ge Wang, Yun Luo, Stan Z. Li:
What Does the Gradient Tell When Attacking the Graph Structure. CoRR abs/2208.12815 (2022) - [i90]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) - [i89]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) - [i88]Yifeng Zhao, Pei Zhang, Liang Lei, Sergio Andres Galindo-Torres, Stan Z. Li:
Metaball-Imaging Discrete Element Lattice Boltzmann Method for fluid-particle system of complex morphologies with settling case study. CoRR abs/2209.10411 (2022) - [i87]Zhangyang Gao, Cheng Tan, Stan Z. Li:
PiFold: Toward effective and efficient protein inverse folding. CoRR abs/2209.12643 (2022) - [i86]Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li:
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR abs/2210.02097 (2022) - [i85]Lirong Wu, Yufei Huang, Haitao Lin, Zicheng Liu, Tianyu Fan, Stan Z. Li:
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation. CoRR abs/2210.02099 (2022) - [i84]Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li:
A Systematic Survey of Molecular Pre-trained Models. CoRR abs/2210.16484 (2022) - [i83]Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li:
Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR abs/2210.16848 (2022) - [i82]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) - [i81]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) - [i80]Haitao Lin, Yufei Huang, Meng Liu, Xuanjing Li, Shuiwang Ji, Stan Z. Li:
DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding. CoRR abs/2211.11214 (