Practical pose normalizaiton for pose-invariant face recognition. - Zhongjun Wu; Shan Li 001; Weihong Deng (ACPR, 2015)

Learning temporal features using LSTM-CNN architecture for face anti-spoofing. - Zhenqi Xu; Shan Li 001; Weihong Deng (ACPR, 2015)

Real-World Facial Expression Recognition Using Metric Learning Method. - Zhiwen Liu; Shan Li 001; Weihong Deng (CCBR, 2016)

Recognizing Compound Emotional Expression in Real-World Using Metric Learning Method. - Zhiwen Liu; Shan Li 001; Weihong Deng (CCBR, 2016)

Intensity Estimation of the Real-World Facial Expression. - Yan Gao; Shan Li 001; Weihong Deng (CCPR (1), 2016)

Real world expression recognition: A highly imbalanced detection problem. - Shan Li 001; Weihong Deng (ICB, 2016)

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild. - Shan Li 001; Weihong Deng; Junping Du 001 (CVPR, 2017)

Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression Recognition in the Wild. - Zhiwen Liu; Shan Li 001; Weihong Deng (FG, 2017)

Deep Emotion Transfer Network for Cross-database Facial Expression Recognition. - Shan Li 001; Weihong Deng (ICPR, 2018)

Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition. - Shan Li 001; Weihong Deng (IEEE Trans. Image Process., 2019)

RAF-AU Database: In-the-Wild Facial Expressions with Subjective Emotion Judgement and Objective AU Annotations. - Wenjing Yan; Shan Li 001; Chengtao Que; JiQuan Pei; Weihong Deng (ACCV (6), 2020)

Clockwork: A Delay-Based Global Scheduling Framework for More Consistent Landing Times in the Data Warehouse. - Martin Valdez-Vivas; Varun Sharma; Nick Stanisha; Shan Li 001; Luo Mi; Wei Jiang; Alex Kalinin; Josh Metzler (KDD, 2021)

Switchable CNN-Based Same-Resolution and Super-Resolution In-Loop Restoration for Next Generation Video Codecs. - Urvang Joshi; Yue Chen; Debargha Mukherjee; Onur G. Guleryuz; Shan Li 001; In Suk Chong (ICIP, 2022)

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space. - Cao Pu; Lu Yang 006; Dongxv Liu; Zhiwei Liu 004; Wenguan Wang; Shan Li 001; Qing Song 006 (CoRR, 2022)

A Deeper Look at Facial Expression Dataset Bias. - Shan Li 001; Weihong Deng (IEEE Trans. Affect. Comput., 2022)

Deep Facial Expression Recognition: A Survey. - Shan Li 001; Weihong Deng (IEEE Trans. Affect. Comput., 2022)

What Decreases Editing Capability? Domain-Specific Hybrid Refinement for Improved GAN Inversion. - Pu Cao; Lu Yang 006; Dongxu Liu; Zhiwei Liu 004; Shan Li 001; Qing Song 006 (CoRR, 2023)

PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks. - Marina Neseem; Conor McCullough; Randy Hsin; Chas Leichner; Shan Li 001; In Suk Chong; Andrew G. Howard; Lukasz Lew; Sherief Reda; Ville-Mikko Rautio; Daniele Moro (CVPR, 2024)

Frequency-Based Matcher for Long-Tailed Semantic Segmentation. - Shan Li 001; Lu Yang 006; Pu Cao; Liulei Li; Huadong Ma (IEEE Trans. Multim., 2024)

Deep Learning Technique for Human Parsing: A Survey and Outlook. - Lu Yang 006; Wenhe Jia; Shan Li 001; Qing Song 006 (Int. J. Comput. Vis., 2024)

Quality transformer for human parsing. - Yao Guo; Lu Yang 006; Pu Cao; Shan Li 001; Yilin Zhou; Qing Song 006 (Pattern Recognit., 2026)