Look Closer to See Better: Recurrent Attention Convolutional Neural Network for Fine-Grained Image Recognition. - Jianlong Fu; Heliang Zheng; Tao Mei 001 (CVPR, 2017)

Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition. - Heliang Zheng; Jianlong Fu; Tao Mei 001; Jiebo Luo 001 (ICCV, 2017)

Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-Grained Image Recognition. - Heliang Zheng; Jianlong Fu; Zheng-Jun Zha; Jiebo Luo 001 (CVPR, 2019)

Learning Deep Bilinear Transformation for Fine-grained Image Representation. - Heliang Zheng; Jianlong Fu; Zheng-Jun Zha; Jiebo Luo 001 (NeurIPS, 2019)

Learning Semantic-aware Normalization for Generative Adversarial Networks. - Heliang Zheng; Jianlong Fu; Yanhong Zeng; Jiebo Luo 001; Zheng-Jun Zha (NeurIPS, 2020)

Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition. - Heliang Zheng; Jianlong Fu; Zheng-Jun Zha; Jiebo Luo 001; Tao Mei 001 (IEEE Trans. Image Process., 2020)

Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. - Heliang Zheng; Huan Yang 005; Jianlong Fu; Zheng-Jun Zha; Jiebo Luo 001 (ICCV, 2021)

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs. - Ziqiang Li 001; Chaoyue Wang; Heliang Zheng; Jing Zhang 037; Bin Li 025 (ECCV (15), 2022)

Leveraging GAN Priors for Few-Shot Part Segmentation. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Bo Du 001 (ACM Multimedia, 2022)

SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. - Gang Li; Heliang Zheng; Daqing Liu; Chaoyue Wang; Bing Su 001; Changwen Zheng (NeurIPS, 2022)

3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models. - Gang Li; Heliang Zheng; Chaoyue Wang; Chang Li; Changwen Zheng; Dacheng Tao (CoRR, 2022)

Token Contrast for Weakly-Supervised Semantic Segmentation. - Lixiang Ru; Heliang Zheng; Yibing Zhan; Bo Du 001 (CVPR, 2023)

MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. - Jing Zhao; Heliang Zheng; Chaoyue Wang; Long Lan; Wenjing Yang 002 (ICCV, 2023)

Unified Discrete Diffusion for Simultaneous Vision-Language Generation. - Minghui Hu 001; Chuanxia Zheng; Zuopeng Yang; Tat-Jen Cham; Heliang Zheng; Chaoyue Wang; Dacheng Tao; Ponnuthurai N. Suganthan (ICLR, 2023)

Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator. - Jing Zhao; Heliang Zheng; Chaoyue Wang; Long Lan; Wanrong Huang; Wenjing Yang 002 (ACM Multimedia, 2023)

Domain Re-Modulation for Few-Shot Generative Domain Adaptation. - Yi Wu 018; Ziqiang Li 001; Chaoyue Wang; Heliang Zheng; Shanshan Zhao 001; Bin Li 025; Dacheng Tao (NeurIPS, 2023)

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Chao Xue; Wei Liu 005; Shuai Xie; Zhenfang Wang; Jiaxing Li; Xuyang Peng; Liang Ding 006; Shanshan Zhao 001; Qiong Cao; Yibo Yang; Fengxiang He; Bohua Cai; et al. (CoRR, 2023)

PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Jing Zhang 037; Yonggang Wen 001 (CoRR, 2023)

Reference-based GAN Evaluation by Adaptive Inversion. - Jianbo Wang; Heliang Zheng; Toshihiko Yamasaki (CVPR Workshops, 2024)

Infinite-ID: Identity-Preserved Personalization via ID-Semantics Decoupling Paradigm. - Yi Wu 018; Ziqiang Li 001; Heliang Zheng; Chaoyue Wang; Bin Li 025 (ECCV (8), 2024)

DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing. - Zhongyi Fan; Zixin Yin; Gang Li; Yibing Zhan; Heliang Zheng (ACM Multimedia, 2024)

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models. - Jing Zhao; Heliang Zheng; Chaoyue Wang; Long Lan; Wanrong Hunag; Yuhua Tang (CoRR, 2024)

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models. - Jing Zhao; Heliang Zheng; Chaoyue Wang; Long Lan; Wanrong Huang; Yuhua Tang (AAAI, 2025)

PartSeg: Few-shot part segmentation via part-aware prompt learning. - Mengya Han; Heliang Zheng; Chaoyue Wang; Yong Luo 002; Han Hu 003; Jing Zhang 037; Bo Du 001 (Pattern Recognit., 2025)

Hyper3D: Efficient 3D Representation via Hybrid Triplane and Octree Feature for Enhanced 3D Shape Variational Auto-Encoders. - Jingyu Guo; Sensen Gao; Jia-Wang Bian; Wanhu Sun; Heliang Zheng; Rongfei Jia; Mingming Gong (CoRR, 2025)

Sparc3D: Sparse Representation and Construction for High-Resolution 3D Shapes Modeling. - Zhihao Li; Yufei Wang 006; Heliang Zheng; Yihao Luo; Bihan Wen (CoRR, 2025)