Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDStan Z. Li
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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j114]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)- [j113]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) - [j112]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) - [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) - [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 - [i134]Lirong Wu, Yufei Huang, Haitao Lin, Stan Z. Li:
A Survey on Protein Representation Learning: Retrospect and Prospect. CoRR abs/2301.00813 (2023) - [i133]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) - [i132]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) - [i131]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) - [i130]Cheng Tan, Zhangyang Gao, Stan Z. Li:
Generative Tertiary Structure-based RNA Design. CoRR abs/2301.10774 (2023) - [i129]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) - [i128]Zhangyang Gao, Yuqi Hu, Cheng Tan, Stan Z. Li:
PrefixMol: Target- and Chemistry-aware Molecule Design via Prefix Embedding. CoRR abs/2302.07120 (2023) - [i127]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) - [i126]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) - [i125]Tianyi Huang, Stan Z. Li, Xin Yuan, Shenghui Cheng:
Roadmap towards Meta-being. CoRR abs/2303.06795 (2023) - [i124]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) - [i123]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) - [i122]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) - [i121]Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang:
High-dimensional Clustering onto Hamiltonian Cycle. CoRR abs/2304.14531 (2023) - [i120]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) - [i119]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) - [i118]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) - [i117]Zhangyang Gao, Cheng Tan, Stan Z. Li:
Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement. CoRR abs/2305.15151 (2023) - [i116]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) - [i115]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) - 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 (2022) - [i79]Cheng Tan, Zhangyang Gao, Stan Z. Li:
SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning. CoRR abs/2211.12509 (2022) - [i78]Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu:
A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR abs/2211.12875 (2022) - [i77]Zelin Zang, Shenghui Cheng, Linyan Lu, Hanchen Xia, Liangyu Li, Yaoting Sun, Yongjie Xu, Lei Shang, Baigui Sun, Stan Z. Li:
EVNet: An Explainable Deep Network for Dimension Reduction. CoRR abs/2211.15478 (2022) - [i76]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) - [i75]Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales:
Federated Learning for Inference at Anytime and Anywhere. CoRR abs/2212.04084 (2022) - [i74]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) - [i73]Cheng Tan, Zhangyang Gao, Stan Z. Li:
RFold: Towards Simple yet Effective RNA Secondary Structure Prediction. CoRR abs/2212.14041 (2022) - 2021
- [j104]Ajian Liu, Xuan Li, Jun Wan, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li:
Cross-ethnicity face anti-spoofing recognition challenge: A review. IET Biom. 10(1): 24-43 (2021) - [j103]Yang Yang, Zichang Tan, Prayag Tiwari, Hari Mohan Pandey, Jun Wan, Zhen Lei, Guodong Guo, Stan Z. Li:
Cascaded Split-and-Aggregate Learning with Feature Recombination for Pedestrian Attribute Recognition. Int. J. Comput. Vis. 129(10): 2731-2744 (2021) - [j102]Zitong Yu, Jun Wan, Yunxiao Qin, Xiaobai Li, Stan Z. Li, Guoying Zhao:
NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 3005-3023 (2021) - [j101]Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li:
RefineFace: Refinement Neural Network for High Performance Face Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4008-4020 (2021) - [j100]Jun Wan, Sergio Escalera, Hugo Jair Escalante, Guodong Guo, Stan Z. Li:
Special Issue on Face Presentation Attack Detection. IEEE Trans. Biom. Behav. Identity Sci. 3(3): 282-284 (2021) - [j99]Shifeng Zhang, Longyin Wen, Zhen Lei, Stan Z. Li:
RefineDet++: Single-Shot Refinement Neural Network for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(2): 674-687 (2021) - [j98]Hao Liu, Xiangyu Zhu, Zhen Lei, Dong Cao, Stan Z. Li:
Fast Adapting Without Forgetting for Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(8): 3093-3104 (2021) - [j97]Ajian Liu, Zichang Tan, Jun Wan, Yanyan Liang, Zhen Lei, Guodong Guo, Stan Z. Li:
Face Anti-Spoofing via Adversarial Cross-Modality Translation. IEEE Trans. Inf. Forensics Secur. 16: 2759-2772 (2021) - [j96]Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition. IEEE Trans. Inf. Forensics Secur. 16: 3082-3095 (2021) - [j95]Zitong Yu, Benjia Zhou, Jun Wan, Pichao Wang, Haoyu Chen, Xin Liu, Stan Z. Li, Guoying Zhao:
Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition. IEEE Trans. Image Process. 30: 5626-5640 (2021) - [c274]Tingting Liao, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
3D Context-Aware PIFu for Clothed Human Reconstruction. CCBR 2021: 128-138 - [c273]Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li:
Face Forgery Detection by 3D Decomposition. CVPR 2021: 2929-2939 - [c272]Chubin Zhuang, Zongzhao Li, Xiangyu Zhu, Zhen Lei, Stan Z. Li:
SADet: Learning An Efficient and Accurate Pedestrian Detector. IJCB 2021: 1-8 - [c271]Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li:
Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia 2021: 1405-1413 - [c270]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 - [c269]Ajian Liu, Zichang Tan, Jun Wan, Sergio Escalera, Guodong Guo, Stan Z. Li:
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing. WACV 2021: 1178-1186 - [i72]Haitao Lin, Zhangyang Gao, Lirong Wu, Stan Z. Li:
Conditional Local Filters with Explainers for Spatio-Temporal Forecasting. CoRR abs/2101.01000 (2021) - [i71]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) - [i70]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. CoRR abs/2104.06148 (2021) - [i69]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. CoRR abs/2104.13048 (2021) - [i68]Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan Z. Li:
Self-supervised on Graphs: Contrastive, Generative, or Predictive. CoRR abs/2105.07342 (2021) - [i67]