AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (CoRR, 2019)

FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers. - Haohang Xu; Hongkai Xiong; Guojun Qi (CoRR, 2019)

FedMax: Enabling a Highly-Efficient Federated Learning Framework. - Haohang Xu; Jin Li; Hongkai Xiong; Hui Lu 001 (CLOUD, 2020)

K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations. - Haohang Xu; Hongkai Xiong; Guo-Jun Qi (CoRR, 2020)

Hierarchical Semantic Aggregation for Contrastive Representation Learning. - Haohang Xu; Xiaopeng Zhang 008; Hao Li 090; Lingxi Xie; Hongkai Xiong; Qi Tian 001 (CoRR, 2020)

Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. - Feng Lin 009; Haohang Xu; Houqiang Li; Hongkai Xiong; Guo-Jun Qi (AAAI, 2021)

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation. - Bowen Shi; Xiaopeng Zhang 008; Haohang Xu; Wenrui Dai; Junni Zou; Hongkai Xiong; Qi Tian 001 (CoRR, 2021)

Bag of Instances Aggregation Boosts Self-supervised Learning. - Haohang Xu; Jiemin Fang; Xiaopeng Zhang 008; Lingxi Xie; Xinggang Wang; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (CoRR, 2021)

Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging. - Shuangrui Ding; Maomao Li; Tianyu Yang 003; Rui Qian 001; Haohang Xu; Qingyi Chen; Jue Wang 001 (CoRR, 2021)

Semantic-Aware Generation for Self-Supervised Visual Representation Learning. - Yunjie Tian; Lingxi Xie; Xiaopeng Zhang 008; Jiemin Fang; Haohang Xu; Wei Huang; Jianbin Jiao; Qi Tian 001; Qixiang Ye (CoRR, 2021)

Motion-aware Contrastive Video Representation Learning via Foreground-background Merging. - Shuangrui Ding; Maomao Li; Tianyu Yang 003; Rui Qian 001; Haohang Xu; Qingyi Chen; Jue Wang 001; Hongkai Xiong (CVPR, 2022)

Bag of Instances Aggregation Boosts Self-supervised Distillation. - Haohang Xu; Jiemin Fang; Xiaopeng Zhang 008; Lingxi Xie; Xinggang Wang; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (ICLR, 2022)

Masked Autoencoders are Robust Data Augmentors. - Haohang Xu; Shuangrui Ding; Xiaopeng Zhang 008; Hongkai Xiong; Qi Tian 001 (CoRR, 2022)

$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations. - Haohang Xu; Hongkai Xiong; Guo-Jun Qi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Semi-Supervised Contrastive Learning With Similarity Co-Calibration. - Yuhang Zhang 012; Xiaopeng Zhang 008; Jie Li 002; Robert C. Qiu; Haohang Xu; Qi Tian 001 (IEEE Trans. Multim., 2023)

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning. - Haohang Xu; Xiaopeng Zhang 008; Hao Li 090; Lingxi Xie; Wenrui Dai; Hongkai Xiong; Qi Tian 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation. - Shuangrui Ding; Rui Qian 001; Haohang Xu; Dahua Lin; Hongkai Xiong (ECCV (45), 2024)

Accelerating Diffusion Transformers with Dual Feature Caching. - Chang Zou; Evelyn Zhang; Runlin Guo; Haohang Xu; Conghui He; Xuming Hu; Linfeng Zhang 001 (CoRR, 2024)

ProReflow: Progressive Reflow with Decomposed Velocity. - Lei Ke; Haohang Xu; Xuefei Ning; Yu Li; Jiajun Li; Haoling Li; Yuxuan Lin; Dongsheng Jiang; Yujiu Yang; Linfeng Zhang 001 (CVPR, 2025)

MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize. - Haohang Xu; Longyu Chen; Shuangrui Ding; Yilin Gao; Dongsheng Jiang; Yin Li; Shugong Xu; Junqing Yu; Wei Yang (CoRR, 2025)

Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists. - Haohang Xu; Chengjie Liu; Qihang Wang; Wenhao Huang; Yongjian Xu; Weiyu Chen; Anlan Peng; Zhijun Li; Bo Li; Lei Qi; Jun Yang; Yuan Du; et al. (CoRR, 2025)