Reinforced Multi-Label Image Classification by Exploring Curriculum. - Shiyi He; Chang Xu 002; Tianyu Guo 001; Chao Xu 006; Dacheng Tao (AAAI, 2018)

Smooth Deep Image Generator from Noises. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (AAAI, 2019)

Learning from Bad Data via Generation. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (NeurIPS, 2019)

Learning Student Networks with Few Data. - Shumin Kong; Tianyu Guo 001; Shan You; Chang Xu 002 (AAAI, 2020)

On Positive-Unlabeled Classification in GAN. - Tianyu Guo 001; Chang Xu 002; Jiajun Huang; Yunhe Wang 001; Boxin Shi; Chao Xu 006; Dacheng Tao (CVPR, 2020)

EDD-Net: An Efficient Defect Detection Network. - Tianyu Guo 001; Linlin Zhang; Runwei Ding; Ge Yang (ICPR, 2020)

Robust Student Network Learning. - Tianyu Guo 001; Chang Xu 002; Shiyi He; Boxin Shi; Chao Xu 006; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Adversarial Robustness through Disentangled Representations. - Shuo Yang; Tianyu Guo 001; Yunhe Wang 001; Chang Xu 002 (AAAI, 2021)

Pre-Trained Image Processing Transformer. - Hanting Chen; Yunhe Wang 001; Tianyu Guo 001; Chang Xu 002; Yiping Deng; Zhenhua Liu 003; Siwei Ma; Chunjing Xu; Chao Xu 006; Wen Gao 001 (CVPR, 2021)

Learning Student Networks in the Wild. - Hanting Chen; Tianyu Guo 001; Chang Xu 002; Wenshuo Li; Chunjing Xu; Chao Xu 006; Yunhe Wang 001 (CVPR, 2021)

Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition. - Tianyu Guo 001; Hong Liu 008; Zhan Chen; Mengyuan Liu; Tao Wang; Runwei Ding (AAAI, 2022)

Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer. - Tao Wang; Hong Liu 008; Pinhao Song; Tianyu Guo 001; Wei Shi 009 (AAAI, 2022)

PDD-Net: A Precise Defect Detection Network Based on Point Set Representation. - Miaoju Ban; Runwei Ding; Jian Zhang; Tianyu Guo 001; Tao Wang (ICASSP, 2022)

FDSNeT: An Accurate Real-Time Surface Defect Segmentation Network. - Jian Zhang; Runwei Ding; Miaoju Ban; Tianyu Guo 001 (ICASSP, 2022)

GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation. - Wenhao Li 002; Hong Liu 008; Tianyu Guo 001; Hao Tang 005; Runwei Ding (CoRR, 2022)

Contrastive Learning from Spatio-Temporal Mixed Skeleton Sequences for Self-Supervised Skeleton-Based Action Recognition. - Zhan Chen; Hong Liu 008; Tianyu Guo 001; Zhengyan Chen; Pinhao Song; Hao Tang 005 (CoRR, 2022)

Optimizing Latent Distributions for Non-Adversarial Generative Networks. - Tianyu Guo 001; Chang Xu 002; Boxin Shi; Chao Xu 006; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation. - Jingwen Guo; Hong Liu 008; Shitong Sun; Tianyu Guo 001; Min Zhang; Chenyang Si (ICCV, 2023)

Self-Supervised 3D Skeleton Representation Learning with Active Sampling and Adaptive Relabeling for Action Recognition. - Guoquan Wang; Hong Liu 008; Tianyu Guo 001; Jingwen Guo; Ti Wang; Yidi Li (ICIP, 2023)

When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation. - Xinhong Ma; Yiming Wang; Hao Liu; Tianyu Guo 001; Yunhe Wang 001 (NeurIPS, 2023)

Towards Higher Ranks via Adversarial Weight Pruning. - Yuchuan Tian; Hanting Chen; Tianyu Guo 001; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2023)

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. - Xutao Wang; Hanting Chen; Tianyu Guo 001; Yunhe Wang 001 (NeurIPS, 2023)

Joint Adversarial and Collaborative Learning for Self-Supervised Action Recognition. - Tianyu Guo 001; Mengyuan Liu; Hong Liu 008; Wenhao Li 002; Jingwen Guo; Tao Wang; Yidi Li (CoRR, 2023)

Data-Free Distillation of Language Model by Text-to-Text Transfer. - Zheyuan Bai; Xinduo Liu; Hailin Hu 002; Tianyu Guo 001; Qinghua Zhang; Yunhe Wang 001 (CoRR, 2023)

LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. - Ying Nie; Wei He 001; Kai Han 002; Yehui Tang; Tianyu Guo 001; Fanyi Du; Yunhe Wang 001 (CoRR, 2023)

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. - Yunhe Wang 001; Hanting Chen; Yehui Tang; Tianyu Guo 001; Kai Han 002; Ying Nie; Xutao Wang; Hailin Hu 002; Zheyuan Bai; Yun Wang; Fangcheng Liu; Zhicheng Liu 001; et al. (CoRR, 2023)

Deep Plug-and-Play Clustering with Unknown Number of Clusters. - An Xiao; Hanting Chen; Tianyu Guo 001; Qinghua Zhang; Yunhe Wang 001 (Trans. Mach. Learn. Res., 2023)

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. - Jialong Zuo; Hanyu Zhou; Ying Nie; Feng Zhang 039; Tianyu Guo 001; Nong Sang; Yunhe Wang 001; Changxin Gao (CVPR, 2024)

A Robust Audio Deepfake Detection System via Multi-View Feature. - Yujie Yang; Haochen Qin; Hang Zhou; Chengcheng Wang; Tianyu Guo 001; Kai Han 002; Yunhe Wang 001 (ICASSP, 2024)

Enhancing Large Language Models through Adaptive Tokenizers. - Mengyu Zheng; Hanting Chen; Tianyu Guo 001; Chong Zhu; Binfan Zheng; Chang Xu 002; Yunhe Wang 001 (NeurIPS, 2024)

Cross-video Identity Correlating for Person Re-identification Pre-training. - Jialong Zuo; Ying Nie; Hanyu Zhou; Huaxin Zhang; Haoyu Wang 003; Tianyu Guo 001; Nong Sang; Changxin Gao (NeurIPS, 2024)

DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. - Wei He 001; Kai Han 002; Yehui Tang; Chengcheng Wang; Yujie Yang; Tianyu Guo 001; Yunhe Wang 001 (CoRR, 2024)

Improving self-supervised action recognition from extremely augmented skeleton sequences. - Tianyu Guo 001; Mengyuan Liu; Hong Liu 008; Guoquan Wang; Wenhao Li 002 (Pattern Recognit., 2024)

Feature Completion Transformer for Occluded Person Re-Identification. - Tao Wang; Mengyuan Liu; Hong Liu 008; Wenhao Li 002; Miaoju Ban; Tianyu Guo 001; Yidi Li (IEEE Trans. Multim., 2024)

Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition. - Mengyuan Liu; Hong Liu 008; Tianyu Guo 001 (IEEE Trans. Hum. Mach. Syst., 2024)

L-Man: A Large Multi-modal Model Unifying Human-centric Tasks. - Jialong Zuo; Ying Nie; Tianyu Guo 001; Huaxin Zhang; Jiahao Hong; Nong Sang; Changxin Gao; Kai Han 002 (AAAI, 2025)

DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models. - Wei He 001; Kai Han 002; Yehui Tang; Chengcheng Wang; Yujie Yang; Tianyu Guo 001; Yunhe Wang 001 (NAACL (Long Papers), 2025)

CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. - Ying Nie; Binwei Yan; Tianyu Guo 001; Hao Liu; Haoyu Wang 003; Wei He 001; Binfan Zheng; Weihao Wang; Qiang Li 024; Weijian Sun; Yunhe Wang 001; Dacheng Tao (NAACL (Long Papers), 2025)

GraphMLP: A graph MLP-like architecture for 3D human pose estimation. - Wenhao Li 002; Mengyuan Liu; Hong Liu 008; Tianyu Guo 001; Ti Wang; Hao Tang 005; Nicu Sebe (Pattern Recognit., 2025)

Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression. - Haoyu Wang 003; Tong Teng; Tianyu Guo 001; An Xiao; Duyu Tang; Hanting Chen; Yunhe Wang 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

On Positive-Unlabeled Classification From Corrupted Data in GANs. - Yunke Wang; Chang Xu 002; Tianyu Guo 001; Bo Du 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)