Haoliang Li

I am an assistant professor at Department of Electrical Engineering, City University of Hong Kong. Before that, I was a Wallenberg-NTU Presidential Postdoc Fellow in the Rapid-Rich Object Search Lab of Nanyang Technological University. I obtained my Ph.D. degree from NTU Singapore supervised by Prof. Alex C. Kot

haoliang.li[at]cityu.edu.hk

[Google Scholar Profile]
Research

I am broadly interested in AI security, multimedia forensics, and machine learning. My current research focuses on secure face recognition, fake news detection, multimedia content forgery detection, transfer learning (domain adaptation/generalization) as well as its application.

Updates
Selected Publications
Dynamic Expert-Knowledge Ensemble for Generalizable Video Quality Assessment
Pengfei Chen, Leida Li, Haoliang Li, Jinjian Wu, Weisheng Dong, Guangming Shi
IEEE Transactions on Circuits and Systems for Video Technology, 2022
Towards Domain Generalized Pruning by Scoring Out-of-Distribution Importance
Rizhao Cai, Haoliang Li, Alex C. Kot
NeurIPS 2022 Workshop on Distribution Shifts, 2022
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
Hui Liu, Wenya Wang, Haoliang Li
EMNLP, 2022 (Long Paper)
Project Page
Beyond the Pixel World: A Novel Acoustic-based Face Anti-Spoofing System for Smartphones
Chenqi Kong, Kexin Zhang, Shiqi Wang, Anderson Rocha, Haoliang Li
IEEE Transactions on Information Forensics and Security, 2022
Project Page
Domain-invariant Feature Exploration for Domain Generalization
Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie
TMLR, 2022
Openreview Link
Variational Disentanglement for Domain Generalization
Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex Kot
TMLR, 2022
Openreview Link
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder
Tiexin Qin, Shiqi Wang, Haoliang Li
ICML, 2022
Project Page
Rethinking Attention-Model Explainability through Faithfulness Violation Test
Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang
ICML, 2022
Project Page
One-Class Knowledge Distillation for Face Presentation Attack Detection
Zhi Li, Rizhao Cai, Haoliang Li, Kwok-Yan Lam, Yongjian Hu, Alex C. Kot
IEEE Transactions on Information Forensics and Security, 2022
Cross-Lingual Transfer Learning for Statistical Type Inference
Zhiming Li, Xiaofei Xie, Haoliang Li, Zhengzi Xu, Yi Li, Yang Liu
ISSTA, 2022

ACM SIGSOFT Distinguished Paper award

Benchmarking Single-Image Reflection Removal Algorithms
Renjie Wan, Boxin Shi, Haoliang Li, Yuchen Hong, Lingyu Duan, Alex C. Kot
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Project Page
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
Chenqi Kong, Baoliang Chen, Haoliang Li, Shiqi Wang, Anderson Rocha, Sam Kwong
IEEE Transactions on Information Forensics and Security, 2022

Neuron Coverage-Guided Domain Generalization
Chris Xing Tian, Haoliang Li, Xiaofei Xie, Yang Liu, Shiqi Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

Learning Meta Pattern for Face Anti-Spoofing
Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex C. Kot.
IEEE Transactions on Information Forensics and Security, 2022
Low-Light Image Enhancement with Normalizing Flow
Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
AAAI, 2022
Project Page
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Chenyu Yi*, Siyuan Yang*, Haoliang Li, Yap-Peng Tan, Alex C. Kot
NeurIPS, 2021
Project Page
Asymmetric Modality Translation For Face Presentation Attack Detection
Zhi Li, Haoliang Li, Xin Luo, Yongjian Hu, Kwok-Yan Lam, Alex C. Kot
IEEE Transactions on Multimedia, 2021

Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
Yufei Wang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
ACM MM, 2021

No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation
Baoliang Chen, Haoliang Li, Hongfei Fan, Shiqi Wang
IEEE Transactions on Image Processing, 2021

Appearance Matters, So Does Audio: Revealing the Hidden Face via Cross-Modality Transfer
Chenqi Kong, Baoliang Chen, Wenhan Yang, Haoliang Li, Peilin Chen, Shiqi Wang.
IEEE Transactions on Circuits and Systems for Video Technology, 2021
Camera Invariant Feature Learning for Generalized Face Anti-spoofing
Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, Sam Kwong.
IEEE Transactions on Information Forensics and Security, 2021
DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
Rizhao Cai, Haoliang Li, Shiqi Wang, Changsheng Chen, Alex C. Kot.
IEEE Transactions on Information Forensics and Security, 2021
CoRRN: Cooperative Reflection Removal Network
Renjie Wan, Boxin Shi Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020
Code (Github) Reflection Image Dataset (RID)

Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization
Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-qiang Li, Alex C. Kot.
NeurIPS 2020

Our team wins 2nd Runner-up in NUS-MIT Healthcare AI Datathon 2020. Video

Heterogeneous domain generalization via domain mixup
Yufei Wang, Haoliang Li, Alex C. Kot.
ICASSP 2020

Unseen face presentation attack detection with hypersphere loss
Zhi Li, Haoliang Li, Kwok-Yan Lam, Alex C. Kot.
ICASSP 2020

GMFAD: Towards Generalized Visual Recognition via Multi-Layer Feature Alignment and Disentanglement
Haoliang Li, Shiqi Wang, Renjie Wan, Alex C. Kot.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020

Unsupervised Domain Adaptation in the Wild via Disentangling Representation Learning
Haoliang Li, Renjie Wan, Shiqi Wang, Alex C. Kot.
International Journal of Computer Vision, 2020

Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot.
IEEE Transactions on Neural Networks and Learning Systems, 2020

Face anti-spoofing with deep neural network distillation
Haoliang Li, Shiqi Wang, Peisong He, Anderson Rocha.
IEEE Journal of Selected Topics in Signal Processing , 2020

Face Image Reflection Removal
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot.
International Journal of Computer Vision, 2020
Dataset

Frame-wise Detection of Double HEVC Compression by Learning Deep Spatio-temporal Representations in Compression Domain
Peisong He Haoliang Li, Hongxia Wang, Shiqi Wang, Xinghao Jiang, Ruimei Zhang.
IEEE Transactions on Multimedia, 2020

Reflection scene separation from a single image
Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot.
CVPR 2020

Discovering and Incorporating Latent Target-Domains for Domain Adaptation
Haoliang Li, Wen Li, Shiqi Wang.
Pattern Recognition, 2020

Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding
Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot.
AAAI 2019
Exposing Fake Bitrate Videos Using Hybrid Deep-learning Network from Recompression Error
Peisong He Haoliang Li, Bin Li, Hongxia Wang, Liang Liu.
IEEE Transactions on Circuits and Systems for Video Technology, 2019

Multi-Task Mid-Level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification
Shan Lin, Haoliang Li, Chang-Tsun Li, Alex C. Kot.
BMVC 2018
Domain Generalization with Adversarial Feature Learning
Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot.
CVPR 2018
Learning Generalized Deep Feature Representation for Face Anti-Spoofing
Haoliang Li, Peisong He, Shiqi Wang, Anderson Rocha, Xinghao Jiang, Alex C. Kot.
IEEE Transactions on Information Forensics and Security, 2018
Unsupervised Domain Adaptation for Face Anti-spoofing
Haoliang Li, Wen Li, Hong Cao, Shiqi Wang, Feiyue Huang, Alex C. Kot.
IEEE Transactions on Information Forensics and Security, 2018
A novel low-power filter design via reduced-precision redundancy for voltage overscaling applications
Haoliang Li, Jianhao Hu, Jienan Chen.
Globecom 2013