Control and Performance of Five-Phase Dual Stator-Winding Induction Generator DC Generating System. - Haijun Xu; Feifei Bu; Wenxin Huang; Yuwen Hu; Haozhe Liu (IEEE Trans. Ind. Electron., 2017)

Optimal-Third-Harmonic-Injection-Based Control for a Five-Phase Dual Stator-Winding Induction Generator DC Generating System. - Feifei Bu; Haozhe Liu; Wenxin Huang; Haijun Xu; Kai Shi 005 (IEEE Trans. Ind. Electron., 2018)

3D Fingerprint Gender Classification Using Deep Learning. - Haozhe Liu; Wentian Zhang; Feng Liu 013; Yong Qi (CCBR, 2019)

Decentralized Identity Authentication with Trust Distributed in Blockchain Backbone. - Jiahe Wang; Songjie Wei; Haozhe Liu (ICBC, 2019)

Control of Five-Phase Dual Stator-Winding Induction Generator With an Open Phase. - Haijun Xu; Wenxin Huang; Feifei Bu; Haozhe Liu; Xiaogang Lin (IEEE Trans. Ind. Electron., 2019)

A Zero-Shot based Fingerprint Presentation Attack Detection System. - Haozhe Liu; Wentian Zhang; Guojie Liu; Feng Liu 013 (CoRR, 2020)

Control Strategy for Five-Phase Dual-Stator Winding Induction Starter/Generator System. - Haozhe Liu; Feifei Bu; Wenxin Huang; Lu Liu; Yuwen Hu; Michele Degano; Chris Gerada (IEEE Trans. Ind. Electron., 2020)

A Flexible Touch-Based Fingerprint Acquisition Device and a Benchmark Database Using Optical Coherence Tomography. - Feng Liu 013; Caixiong Shen; Haozhe Liu; Guojie Liu; Yahui Liu; Zhenhua Guo 001; Lei Wang 018 (IEEE Trans. Instrum. Meas., 2020)

Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations. - Anan Liu; Ning Xu 003; Haozhe Liu (EMNLP (Findings), 2021)

Finger Vein Verification using Intrinsic and Extrinsic Features. - Liying Lin; Haozhe Liu; Wentian Zhang; Feng Liu 013; Zhihui Lai 001 (IJCB, 2021)

Group-wise Inhibition based Feature Regularization for Robust Classification. - Haozhe Liu; Haoqian Wu; Weicheng Xie 001; Feng Liu 013; Linlin Shen (ICCV, 2021)

TANTP: Conversational Emotion Recognition Using Tree-Based Attention Networks with Transformer Pre-training. - Haozhe Liu; Hongzhan Lin 001; Guang Chen 003 (PAKDD (2), 2021)

Taming Self-Supervised Learning for Presentation Attack Detection: In-Image De-Folding and Out-of-Image De-Mixing. - Haozhe Liu; Zhe Kong; Raghavendra Ramachandra; Feng Liu 013; Linlin Shen; Christoph Busch 001 (CoRR, 2021)

Manifold-preserved GANs. - Haozhe Liu; Hanbang Liang; Xianxu Hou; Haoqian Wu; Feng Liu 013; Linlin Shen (CoRR, 2021)

Face Presentation Attack Detection using Taskonomy Feature. - Wentian Zhang; Haozhe Liu; Raghavendra Ramachandra; Feng Liu 013; Linlin Shen; Christoph Busch 001 (CoRR, 2021)

Why MDAC? A Multi-domain Activation Function. - Zhenhua Wang; Dong Gao 001; Haozhe Liu; Fanglin Liu (CoRR, 2021)

One-Class Fingerprint Presentation Attack Detection Using Auto-Encoder Network. - Feng Liu 013; Haozhe Liu; Wentian Zhang; Guojie Liu; Linlin Shen (IEEE Trans. Image Process., 2021)

Scene Consistency Representation Learning for Video Scene Segmentation. - Haoqian Wu; Keyu Chen; Yanan Luo; Ruizhi Qiao; Bo Ren 002; Haozhe Liu; Weicheng Xie 001; Linlin Shen (CVPR, 2022)

Decoupled Mixup for Out-of-Distribution Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (ECCV Workshops (6), 2022)

Effective Presentation Attack Detection Driven by Face Related Task. - Wentian Zhang; Haozhe Liu; Feng Liu 013; Raghavendra Ramachandra; Christoph Busch 001 (ECCV (5), 2022)

Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (MICCAI (3), 2022)

A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. - Wentian Zhang; Xu Sun 006; Yuexiang Li; Haozhe Liu; Nanjun He; Feng Liu 013; Yefeng Zheng 001 (MICCAI (2), 2022)

Robust Representation via Dynamic Feature Aggregation. - Haozhe Liu; Haoqin Ji; Yuexiang Li; Nanjun He; Haoqian Wu; Feng Liu 013; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

Combating Mode Collapse in GANs via Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. - Haoqin Ji; Haozhe Liu; Yuexiang Li; Jinheng Xie; Nanjun He; Yawen Huang; Dong Wei 004; Xinrong Chen; Linlin Shen; Yefeng Zheng 001 (CoRR, 2022)

A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction. - Wentian Zhang; Haozhe Liu; Feng Liu 013; Raghavendra Ramachandra (CoRR, 2022)

Decoupled Mixup for Generalized Visual Recognition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Haoqian Wu; Bing Li 024; Ziqi Zhang; Yuexiang Li; Yawen Huang; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2022)

Why KDAC? A general activation function for knowledge discovery. - Zhenhua Wang; Haozhe Liu; Fanglin Liu; Dong Gao 001 (Neurocomputing, 2022)

Fingerprint Presentation Attack Detector Using Global-Local Model. - Haozhe Liu; Wentian Zhang; Feng Liu 013; Haoqian Wu; Linlin Shen (IEEE Trans. Cybern., 2022)

Fingerprint Presentation Attack Detection by Channel-Wise Feature Denoising. - Feng Liu 013; Zhe Kong; Haozhe Liu; Wentian Zhang; Linlin Shen (IEEE Trans. Inf. Forensics Secur., 2022)

Combating Mode Collapse via Offline Manifold Entropy Estimation. - Haozhe Liu; Bing Li 024; Haoqian Wu; Hanbang Liang; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (AAAI, 2023)

AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CVPR, 2023)

NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation. - Haoqian Wu; Keyu Chen; Haozhe Liu; Mingchen Zhuge; Bing Li 024; Ruizhi Qiao; Xiujun Shu; Bei Gan; Liangsheng Xu; Bo Ren 002; Mengmeng Xu 006; Wentian Zhang; et al. (CVPR, 2023)

Activation Template Matching Loss for Explainable Face Recognition. - Huawei Lin 001; Haozhe Liu; Qiufu Li; Linlin Shen (FG, 2023)

Learning to Identify Critical States for Reinforcement Learning from Videos. - Haozhe Liu; Mingchen Zhuge; Bing Li 024; Yuhui Wang 004; Francesco Faccio; Bernard Ghanem; Jürgen Schmidhuber (ICCV, 2023)

BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. - Jinheng Xie; Yuexiang Li; Yawen Huang; Haozhe Liu; Wentian Zhang; Yefeng Zheng 001; Mike Zheng Shou (ICCV, 2023)

Dynamically Masked Discriminator for GANs. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (NeurIPS, 2023)

Improving GAN Training via Feature Space Shrinkage. - Haozhe Liu; Wentian Zhang; Bing Li 024; Haoqian Wu; Nanjun He; Yawen Huang; Yuexiang Li; Bernard Ghanem; Yefeng Zheng 001 (CoRR, 2023)

Open-World Weakly-Supervised Object Localization. - Jinheng Xie; Zhaochuan Luo; Yuexiang Li; Haozhe Liu; Linlin Shen; Mike Zheng Shou (CoRR, 2023)

Dynamically Masked Discriminator for Generative Adversarial Networks. - Wentian Zhang; Haozhe Liu; Bing Li 024; Jinheng Xie; Yawen Huang; Yuexiang Li; Yefeng Zheng 001; Bernard Ghanem (CoRR, 2023)

Linear Active Disturbance Rejection Control for Dual-Stator Winding Induction Generator AC Power System. - Haozhe Liu; Feifei Bu; Wenxin Huang; Haihong Qin; Yuhua Tan; Zhe Qian (IEEE Trans. Ind. Electron., 2023)

A deep weakly semi-supervised framework for endoscopic lesion segmentation. - Yuxuan Shi; Hong Wang 021; Haoqin Ji; Haozhe Liu; Yuexiang Li; Nanjun He; Dong Wei 004; Yawen Huang; Qi Dai; Jianrong Wu; Xinrong Chen; Yefeng Zheng 001; et al. (Medical Image Anal., 2023)

Tune-an-Ellipse: CLIP Has Potential to Find what you Want. - Jinheng Xie; Songhe Deng; Bing Li 024; Haozhe Liu; Yawen Huang; Yefeng Zheng 001; Jürgen Schmidhuber; Bernard Ghanem; Linlin Shen; Mike Zheng Shou (CVPR, 2024)

Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models. - Wentian Zhang; Haozhe Liu; Jinheng Xie; Francesco Faccio; Mike Zheng Shou; Jürgen Schmidhuber (CoRR, 2024)

Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable. - Haozhe Liu; Wentian Zhang; Bing Li 024; Bernard Ghanem; Jürgen Schmidhuber (CoRR, 2024)

Highway Reinforcement Learning. - Yuhui Wang 004; Miroslav Strupl; Francesco Faccio; Qingyuan Wu; Haozhe Liu; Michal Grudzien; Xiaoyang Tan; Jürgen Schmidhuber (CoRR, 2024)

MarDini: Masked Autoregressive Diffusion for Video Generation at Scale. - Haozhe Liu; Shikun Liu; Zijian Zhou 002; Mengmeng Xu 006; Yanping Xie; Xiao Han; Juan C. Pérez; Ding Liu; Kumara Kahatapitiya; Menglin Jia; Jui-Chieh Wu; Sen He 001; et al. (CoRR, 2024)

Adaptive Caching for Faster Video Generation with Diffusion Transformers. - Kumara Kahatapitiya; Haozhe Liu; Sen He 001; Ding Liu; Menglin Jia; Chenyang Zhang; Michael S. Ryoo; Tian Xie 003 (CoRR, 2024)

A uniform representation model for OCT-based fingerprint presentation attack detection and reconstruction. - Wentian Zhang; Haozhe Liu; Feng Liu 013; Raghavendra Ramachandra (Pattern Recognit., 2024)

Sensorless Control With Adaptive Speed Observer Using Power Winding Information for Dual-Stator Winding Induction Starter/Generator. - Haozhe Liu; Yaqi Yan; Feifei Bu; Wenxin Huang; Wen Jiang; Yuhua Tan; Zhe Qian (IEEE Trans. Ind. Electron., 2024)

Anomaly detection via gating highway connection for retinal fundus images. - Wentian Zhang; Haozhe Liu; Jinheng Xie; Yawen Huang; Yu Zhang 185; Yuexiang Li; Raghavendra Ramachandra; Yefeng Zheng 001 (Pattern Recognit., 2024)

Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing. - Zhe Kong; Wentian Zhang; Feng Liu 013; Wenhan Luo; Haozhe Liu; Linlin Shen; Raghavendra Ramachandra (IEEE Trans. Neural Networks Learn. Syst., 2024)

Efficient Multi-Bounce Ray Tracing for Specular and Transparent Materials in NeRF. - Haozhe Liu; Yu Wei Tan; Anand Bhojan (AIxVR, 2025)

Learning Flow Fields in Attention for Controllable Person Image Generation. - Zijian Zhou 002; Shikun Liu; Xiao Han; Haozhe Liu; Kam Woh Ng; Tian Xie 003; Yuren Cong; Hang Li; Mengmeng Xu 006; Juan-Manuel Pérez-Rúa; Aditya Patel; Tao Xiang 002; et al. (CVPR, 2025)

Addressing Missing Data Issue for Diffusion-based Recommendation. - Wenyu Mao; Zhengyi Yang 007; Jiancan Wu; Haozhe Liu; Yancheng Yuan; Xiang Wang 010; Xiangnan He 001 (SIGIR, 2025)

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. - Wenyu Mao; Shuchang Liu 001; Haoyang Liu 002; Haozhe Liu; Xiang Li 189; Lantao Hu (WWW, 2025)

Mindstorms in Natural Language-Based Societies of Mind. - Mingchen Zhuge; Haozhe Liu; Francesco Faccio; Dylan R. Ashley; Róbert Csordás; Anand Gopalakrishnan; Abdullah Hamdi; Hasan Abed Al Kader Hammoud; Vincent Herrmann; Kazuki Irie; Louis Kirsch; Bing Li 024; et al. (Comput. Vis. Media, 2025)

MarDini: Masked Auto-regressive Diffusion for Video Generation at Scale. - Haozhe Liu; Shikun Liu; Zijian Zhou 002; Mengmeng Xu 006; Yanping Xie; Xiao Han; Juan Camilo Pérez; Ding Liu; Kumara Kahatapitiya; Menglin Jia; Jui-Chieh Wu; Sen He 001; et al. (Trans. Mach. Learn. Res., 2025)

Faster Diffusion Through Temporal Attention Decomposition. - Haozhe Liu; Wentian Zhang; Jinheng Xie; Francesco Faccio; Mengmeng Xu 006; Tao Xiang 002; Mike Zheng Shou; Juan-Manuel Pérez-Rúa; Jürgen Schmidhuber (Trans. Mach. Learn. Res., 2025)

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. - Wenyu Mao; Shuchang Liu 001; Haoyang Liu 002; Haozhe Liu; Xiang Li 189; Lanatao Hu (CoRR, 2025)

Can Video Diffusion Model Reconstruct 4D Geometry? - Jinjie Mai; Wenxuan Zhu; Haozhe Liu; Bing Li 024; Cheng Zheng 002; Jürgen Schmidhuber; Bernard Ghanem (CoRR, 2025)

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer. - Junsong Chen; Yuyang Zhao; Jincheng Yu; Ruihang Chu; Junyu Chen 003; Shuai Yang; Xianbang Wang; Yicheng Pan 006; Daquan Zhou; Huan Ling; Haozhe Liu; Hongwei Yi; et al. (CoRR, 2025)

Speed Sensorless Sliding Mode Control Strategy of Dual Winding Induction Machine Starting/Generation Systems. - Feifei Bu; Tianyi Zhu; Tiankui Sun; Haozhe Liu; Zuxin Luo; Haihong Qin; Wenxin Huang; Sorin Ioan Deaconu (IEEE Trans. Ind. Electron., 2025)

Scaling Sequence-to-Sequence Generative Neural Rendering. - Shikun Liu; Kam Woh Ng; Wonbong Jang; Jiadong Guo; Junlin Han; Haozhe Liu; Yiannis Douratsos; Juan C. Pérez; Zijian Zhou 002; Chi Phung; Tao Xiang 002; Juan-Manuel Pérez-Rúa (CoRR, 2025)

Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data. - Jiajing Tong; Tong Su; Yu Chen; Xiaobo Zhang; Ming Yao; Yanling Wang; Haozhe Liu; Min Xu; Jian Wang; Zhengyu Jin (BMC Medical Imaging, 2025)

Open-world Weakly-Supervised Object Localization. - Jinheng Xie; Zhaochuan Luo; Rouyi Li; Yawen Huang; Haozhe Liu; Yuexiang Li; Yefeng Zheng 001; Yang Zhang 012; Linlin Shen; Mike Zheng Shou (Pattern Recognit., 2026)