Character proposal network for robust text extraction. - Shuye Zhang; Mude Lin; Tianshui Chen; Lianwen Jin; Liang Lin (ICASSP, 2016)

Learning to Segment Object Proposals via Recursive Neural Networks. - Tianshui Chen; Liang Lin; Xian Wu 007; Xiaonan Luo (CoRR, 2016)

DISC: Deep Image Saliency Computing via Progressive Representation Learning. - Tianshui Chen; Liang Lin; Lingbo Liu; Xiaonan Luo; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Multi-label Image Recognition by Recurrently Discovering Attentional Regions. - Zhouxia Wang; Tianshui Chen; Guanbin Li; Ruijia Xu; Liang Lin (ICCV, 2017)

Knowledge-guided recurrent neural network learning for task-oriented action prediction. - Liang Lin; Lili Huang; Tianshui Chen; Yukang Gan; Hui Cheng (ICME, 2017)

Learning a Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks. - Tianshui Chen; Liang Lin; Wangmeng Zuo; Xiaonan Luo; Lei Zhang 006 (CoRR, 2017)

Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning. - Dongyu Zhang 002; Liang Lin; Tianshui Chen; Xian Wu 007; Wenwei Tan; Ebroul Izquierdo (IEEE Trans. Image Process., 2017)

Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks. - Tianshui Chen; Liang Lin; Wangmeng Zuo; Xiaonan Luo; Lei Zhang 038 (AAAI, 2018)

Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition. - Tianshui Chen; Zhouxia Wang; Guanbin Li; Liang Lin (AAAI, 2018)

Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. - Tianshui Chen; Liang Lin; Riquan Chen; Yang Wu; Xiaonan Luo (IJCAI, 2018)

Deep Reasoning with Knowledge Graph for Social Relationship Understanding. - Zhouxia Wang; Tianshui Chen; Jimmy S. J. Ren; Weihao Yu 001; Hui Cheng; Liang Lin (IJCAI, 2018)

Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding. - Tianshui Chen; Wenxi Wu; Yuefang Gao; Le Dong; Xiaonan Luo; Liang Lin (ACM Multimedia, 2018)

Learning to Segment Object Candidates via Recursive Neural Networks. - Tianshui Chen; Liang Lin; Xian Wu 007; Nong Xiao; Xiaonan Luo (IEEE Trans. Image Process., 2018)

Graph attention propagation for few-shot learning. - Xiaolu Hui; Riquan Chen; Tianshui Chen (ACM TUR-C, 2019)

ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis. - Chao Chen; Guanbin Li; Ruijia Xu; Tianshui Chen; Meng Wang 001; Liang Lin (CVPR, 2019)

Knowledge-Embedded Routing Network for Scene Graph Generation. - Tianshui Chen; Weihao Yu 001; Riquan Chen; Liang Lin (CVPR, 2019)

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition. - Tianshui Chen; Muxin Xu; Xiaolu Hui; Hefeng Wu; Liang Lin (ICCV, 2019)

Semi-Supervised Video Salient Object Detection Using Pseudo-Labels. - Pengxiang Yan; Guanbin Li; Yuan Xie 004; Zhen Li 026; Chuan Wang 001; Tianshui Chen; Liang Lin (ICCV, 2019)

Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective. - Jie Wu 030; Tianshui Chen; Hefeng Wu; Zhi Yang 004; Qing Wang 018; Liang Lin (ICME, 2019)

Neural Task Planning With AND-OR Graph Representations. - Tianshui Chen; Riquan Chen; Lin Nie; Xiaonan Luo; Xiaobai Liu; Liang Lin (IEEE Trans. Multim., 2019)

Knowledge Graph Transfer Network for Few-Shot Recognition. - Riquan Chen; Tianshui Chen; Xiaolu Hui; Hefeng Wu; Guanbin Li; Liang Lin (AAAI, 2020)

Exploiting Knowledge Embedded Soft Labels for Image Recognition. - Lixian Yuan; Riquan Chen; Hefeng Wu; Tianshui Chen; Wentao Wang; Pei Chen (ICPR, 2020)

Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition. - Yuan Xie 004; Tianshui Chen; Tao Pu 002; Hefeng Wu; Liang Lin (ACM Multimedia, 2020)

Active Object Search. - Jie Wu 030; Tianshui Chen; Lishan Huang; Hefeng Wu; Guanbin Li; Ling Tian; Liang Lin (ACM Multimedia, 2020)

Efficient Crowd Counting via Structured Knowledge Transfer. - Lingbo Liu; Jiaqi Chen; Hefeng Wu; Tianshui Chen; Guanbin Li; Liang Lin (ACM Multimedia, 2020)

Look into Facial Expression Domain Adaptation: Adversarial Graph Learning and A Fair Evaluation Benchmark. - Tianshui Chen; Tao Pu 002; Yuan Xie 004; Hefeng Wu; Lingbo Liu; Liang Lin (CoRR, 2020)

Crowd counting via scale-communicative aggregation networks. - Lixian Yuan; Zhilin Qiu; Lingbo Liu; Hefeng Wu; Tianshui Chen; Pei Chen; Liang Lin (Neurocomputing, 2020)

AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition. - Tao Pu 002; Tianshui Chen; Yuan Xie 004; Hefeng Wu; Liang Lin (ICRA, 2021)

Fine-Grained Image Captioning With Global-Local Discriminative Objective. - Jie Wu 030; Tianshui Chen; Hefeng Wu; Zhi Yang 004; Guangchun Luo; Liang Lin (IEEE Trans. Multim., 2021)

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. - Tao Pu 002; Tianshui Chen; Hefeng Wu; Liang Lin (AAAI, 2022)

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels. - Tianshui Chen; Tao Pu 002; Hefeng Wu; Yuan Xie 004; Liang Lin (AAAI, 2022)

Content-Aware Hierarchical Representation Selection for Cross-View Geo-Localization. - Zeng Lu; Tao Pu 002; Tianshui Chen; Liang Lin (ACCV (5), 2022)

Learning Consistent Global-Local Representation for Cross-Domain Facial Expression Recognition. - Yuhao Xie; Yuefang Gao; Jiantao Lin; Tianshui Chen (ICPR, 2022)

Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation. - Yupei Lin; Sen Zhang 006; Tianshui Chen; Yongyi Lu; Guangping Li 002; Yukai Shi (ACM Multimedia, 2022)

Semantic Representation and Dependency Learning for Multi-Label Image Recognition. - Tao Pu 002; Lixian Yuan; Hefeng Wu; Tianshui Chen; Ling Tian; Liang Lin (CoRR, 2022)

Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels. - Tao Pu 002; Tianshui Chen; Hefeng Wu; Yongyi Lu; Liang Lin (CoRR, 2022)

Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels. - Tao Pu 002; Qianru Lao; Hefeng Wu; Tianshui Chen; Liang Lin (CoRR, 2022)

Progressive representation recalibration for lightweight super-resolution. - Ruimian Wen; Zhijing Yang; Tianshui Chen; Hao Li 058; Kai Li (Neurocomputing, 2022)

Multi-label image recognition with attentive transformer-localizer module. - Lin Nie; Tianshui Chen; Zhouxia Wang; Wenxiong Kang; Liang Lin (Multim. Tools Appl., 2022)

Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition. - Tianshui Chen; Liang Lin; Riquan Chen; Xiaolu Hui; Hefeng Wu (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Cross-Domain Facial Expression Recognition: A Unified Evaluation Benchmark and Adversarial Graph Learning. - Tianshui Chen; Tao Pu 002; Hefeng Wu; Yuan Xie 004; Lingbo Liu; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Face Reenactment Based on Motion Field Representation. - Si Zheng; Junbin Chen; Zhijing Yang; Tianshui Chen; Yongyi Lu (BICS, 2023)

Perception and Semantic Aware Regularization for Sequential Confidence Calibration. - Zhenghua Peng; Yu Luo; Tianshui Chen; Keke Xu; Shuangping Huang (CVPR, 2023)

Open-World Pose Transfer via Sequential Test-Time Adaption. - Junyang Chen 002; Xiaoyu Xian; Zhijing Yang; Tianshui Chen; Yongyi Lu; Yukai Shi; Jinshan Pan; Liang Lin (CoRR, 2023)

Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs. - Ziyi Tang; Ruilin Wang; Weixing Chen; Keze Wang; Yang Liu 267; Tianshui Chen; Liang Lin (CoRR, 2023)

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation. - Zhouxia Wang; Ziyang Yuan; Xintao Wang 002; Tianshui Chen; Menghan Xia; Ping Luo 002; Ying Shan (CoRR, 2023)

Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection. - Zhihua Xu; Xiaobin Hong; Tianshui Chen; Zhijing Yang; Yukai Shi (IEEE Robotics Autom. Lett., 2023)

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup. - Zhijing Yang; Junyang Chen 002; Yukai Shi; Hao Li 058; Tianshui Chen; Liang Lin (IEEE Trans. Multim., 2023)

Progressive Transformer Machine for Natural Character Reenactment. - Yongzong Xu; Zhijing Yang; Tianshui Chen; Kai Li; Chunmei Qing (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Semantic representation and dependency learning for multi-label image recognition. - Tao Pu 002; Mingzhan Sun; Hefeng Wu; Tianshui Chen; Ling Tian; Liang Lin (Neurocomputing, 2023)

Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction. - Lingbo Liu; Zewei Yang; Guanbin Li; Kuo Wang; Tianshui Chen; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2023)

RestoreFormer++: Towards Real-World Blind Face Restoration From Undegraded Key-Value Pairs. - Zhouxia Wang; Jiawei Zhang 002; Tianshui Chen; Wenping Wang 001; Ping Luo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation. - Hui Fu; Zeqing Wang; Ke Gong; Keze Wang; Tianshui Chen; Haojie Li; Haifeng Zeng; Wenxiong Kang (AAAI, 2024)

Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation. - Tianshui Chen; Jianman Lin; Zhijing Yang; Chunmei Qing; Liang Lin (CVPR, 2024)

Self-Supervised Emotion Representation Disentanglement for Speech-Preserving Facial Expression Manipulation. - Zhihua Xu; Tianshui Chen; Zhijing Yang; Chunmei Qing; Yukai Shi; Liang Lin (ACM Multimedia, 2024)

MotionCtrl: A Unified and Flexible Motion Controller for Video Generation. - Zhouxia Wang; Ziyang Yuan; Xintao Wang 002; Yaowei Li; Tianshui Chen; Menghan Xia; Ping Luo 002; Ying Shan (SIGGRAPH (Conference Paper Track), 2024)

Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels. - Tao Pu 002; Tianshui Chen; Hefeng Wu; Yukai Shi; Zhijing Yang; Liang Lin (Expert Syst. Appl., 2024)

A weighted prior tensor train decomposition method for community detection in multi-layer networks. - Siyuan Peng; Mingliang Yang; Zhijing Yang; Tianshui Chen; Jieming Xie; Guang Ma (Neural Networks, 2024)

Graph Representation and Prototype Learning for webly supervised fine-grained image recognition. - Jiantao Lin; Tianshui Chen; Yingcong Chen; Zhijing Yang; Yuefang Gao (Pattern Recognit. Lett., 2024)

Contrastive representation enhancement and learning for handwritten mathematical expression recognition. - Zihao Lin 008; Jinrong Li; Gang Dai 002; Tianshui Chen; Shuangping Huang; Jianmin Lin (Pattern Recognit. Lett., 2024)

Diff-Mosaic: Augmenting Realistic Representations in Infrared Small Target Detection via Diffusion Prior. - Yukai Shi; Yupei Lin; Pengxu Wei; Xiaoyu Xian; Tianshui Chen; Liang Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration. - Tianshui Chen; Weihang Wang 008; Tao Pu 002; Jinghui Qin; Zhijing Yang; Jie Liu 022; Liang Lin (IEEE Trans. Image Process., 2024)

Spatial-Temporal Knowledge-Embedded Transformer for Video Scene Graph Generation. - Tao Pu 002; Tianshui Chen; Hefeng Wu; Yongyi Lu; Liang Lin (IEEE Trans. Image Process., 2024)

Analysis and Benchmarking of Extending Blind Face Image Restoration to Videos. - Zhouxia Wang; Jiawei Zhang 002; Xintao Wang 002; Tianshui Chen; Ying Shan; Wenping Wang 001; Ping Luo 002 (IEEE Trans. Image Process., 2024)

Adaptive Global-Local Representation Learning and Selection for Cross-Domain Facial Expression Recognition. - Yuefang Gao; Yuhao Xie; Zeke Zexi Hu; Tianshui Chen; Liang Lin (IEEE Trans. Multim., 2024)

Category-Adaptive Label Discovery and Noise Rejection for Multi-Label Recognition With Partial Positive Labels. - Tao Pu 002; Qianru Lao; Hefeng Wu; Tianshui Chen; Ling Tian; Jie Liu 022; Liang Lin (IEEE Trans. Multim., 2024)

Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing. - Ruihan Chen; Junpeng Tan; Yinghong Zhou; Zhijing Yang; Feiping Nie 001; Tianshui Chen (Expert Syst. Appl., 2024)

Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search. - Hefeng Wu; Weifeng Chen; Zhibin Liu; Tianshui Chen; Zhiguang Chen 001; Liang Lin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels. - Tianshui Chen; Tao Pu 002; Lingbo Liu; Yukai Shi; Zhijing Yang; Liang Lin (Int. J. Comput. Vis., 2024)

Monocular and Generalizable Gaussian Talking Head Animation. - Shengjie Gong; Haojie Li; Jiapeng Tang; Dongming Hu; Shuangping Huang; Hao Chen; Tianshui Chen; Zhuoman Liu (CVPR, 2025)

DBFSNet: dual-branch frequency and spatial fusion network for real-world social media image super-resolution. - Kexin Sun; Jinghui Qin; Junyang Chen 002; Zhijing Yang; Tianshui Chen (J. Electronic Imaging, 2025)

SQLNet: Scale-Modulated Query and Localization Network for Few-Shot Class-Agnostic Counting. - Hefeng Wu; Yandong Chen 002; Lingbo Liu; Tianshui Chen; Keze Wang; Liang Lin (IEEE Trans. Image Process., 2025)

Learning Semantic-aware Representation in Visual-Language Models for Multi-label Recognition with Partial Labels. - Haoxian Ruan; Zhihua Xu; Zhijing Yang; Yongyi Lu; Jinghui Qin; Tianshui Chen (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Exploiting Temporal Audio-Visual Correlation Embedding for Audio-Driven One-Shot Talking Head Animation. - Zhihua Xu; Tianshui Chen; Zhijing Yang; Siyuan Peng; Keze Wang; Liang Lin (CoRR, 2025)

ReplayCAD: Generative Diffusion Replay for Continual Anomaly Detection. - Lei Hu; Zhiyong Gan; Ling Deng; Jinglin Liang; Lingyu Liang; Shuangping Huang; Tianshui Chen (CoRR, 2025)

Geometry-Editable and Appearance-Preserving Object Compositon. - Jianman Lin; Haojie Li; Chunmei Qing; Zhijing Yang; Liang Lin; Tianshui Chen (CoRR, 2025)

Globally Correlation-Aware Hard Negative Generation. - Wenjie Peng; Hongxiang Huang; Tianshui Chen; Quhui Ke; Gang Dai 002; Shuangping Huang (Int. J. Comput. Vis., 2025)

Heterogeneous Correlation Aware Regularization for Sequential Confidence Calibration. - Zhenghua Peng; Tianshui Chen; Shuangping Huang; Yunqing Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation. - Tianshui Chen; Jianman Lin; Zhijing Yang; Chumei Qing; Yukai Shi; Liang Lin (Int. J. Comput. Vis., 2025)

Physical Autoregressive Model for Robotic Manipulation without Action Pretraining. - Zijian Song; Sihan Qin; Tianshui Chen; Liang Lin; Guangrun Wang (CoRR, 2025)

Knowledge-embedded graph representation learning for document-level relation extraction. - Jinglin Liang; Yutao Qin; Shuangping Huang; Yunqing Hu; Xinwu Liu; Huiyuan Zhang; Tianshui Chen (Expert Syst. Appl., 2026)

Learning semantic-aware threshold for multi-label image recognition with partial labels. - Haoxian Ruan; Zhihua Xu; Zhijing Yang; Guang Ma; Jieming Xie; Changxiang Fan; Tianshui Chen (Expert Syst. Appl., 2026)

An alignment-error-free framework for end-to-end table recognition. - Fan Yang 082; Ling Deng; Zhiyong Gan; Shuangping Huang; Tianshui Chen (Expert Syst. Appl., 2026)