Image quality assessment using a SVD-based structural projection. - Anzhou Hu; Rong Zhang 004; Dong Yin; Yibing Zhan (Signal Process. Image Commun., 2014)

Image quality assessment based on structure variance classification. - Yibing Zhan; Rong Zhang 004 (ICASSP, 2015)

A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images. - Yibing Zhan; Rong Zhang 004; Qian Wu; You Wu (ICASSP, 2016)

A novel structural variation detection strategy for image quality assessment. - Yibing Zhan; Rong Zhang 004 (ICIP, 2016)

No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change. - Yibing Zhan; Rong Zhang 004 (IEEE Signal Process. Lett., 2017)

A Structural Variation Classification Model for Image Quality Assessment. - Yibing Zhan; Rong Zhang 004; Qian Wu (IEEE Trans. Multim., 2017)

Attention-Based Convolutional Neural Network for the Detection of Built-Up Areas in High-Resolution SAR Images. - Yunfei Wu; Rong Zhang 004; Yibing Zhan (IGARSS, 2018)

Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval. - Yibing Zhan; Jun Yu 002; Zhou Yu 001; Rong Zhang 004; Dacheng Tao; Qi Tian 001 (ACM Multimedia, 2018)

No-Reference Image Sharpness Assessment Based on Maximum Gradient and Variability of Gradients. - Yibing Zhan; Rong Zhang 004 (IEEE Trans. Multim., 2018)

On Exploring Undetermined Relationships for Visual Relationship Detection. - Yibing Zhan; Jun Yu 002; Ting Yu 016; Dacheng Tao (CVPR, 2019)

Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval. - Xueying Chen; Rong Zhang 004; Yibing Zhan (ICIP, 2020)

Relationship graph learning network for visual relationship detection. - Yanan Li; Jun Yu 002; Yibing Zhan; Zhi Chen 010 (MMAsia, 2020)

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing. - Jun Yu 002; Hao Zhou; Yibing Zhan; Dacheng Tao (CoRR, 2020)

Multi-task Compositional Network for Visual Relationship Detection. - Yibing Zhan; Jun Yu 002; Ting Yu 016; Dacheng Tao (Int. J. Comput. Vis., 2020)

Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. - Jun Yu 002; Hao Zhou; Yibing Zhan; Dacheng Tao (AAAI, 2021)

Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. - Ziye Chen; Yibing Zhan; Baosheng Yu; Mingming Gong; Bo Du 001 (ICCV, 2021)

A Question Answering System for Unstructured Table Images. - Wenyuan Xue; Siqi Cai; Wen Wang 019; Qingyong Li; Baosheng Yu; Yibing Zhan; Dacheng Tao (ACM Multimedia, 2021)

Collocation and Try-on Network: Whether an Outfit is Compatible. - Na Zheng; Xuemeng Song; Qingying Niu; Xue Dong; Yibing Zhan; Liqiang Nie (ACM Multimedia, 2021)

Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. - Sheng Wan; Yibing Zhan; Liu Liu 014; Baosheng Yu; Shirui Pan; Chen Gong 002 (NeurIPS, 2021)

Comprehensive Linguistic-Visual Composition Network for Image Retrieval. - Haokun Wen; Xuemeng Song; Xin Yang 008; Yibing Zhan; Liqiang Nie (SIGIR, 2021)

SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. - Weigang Lu; Yibing Zhan; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (CoRR, 2021)

Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. - Chao Chen; Yibing Zhan; Baosheng Yu; Liu Liu 014; Yong Luo 002; Bo Du 001 (AAAI, 2022)

Relative Position Relationship Learning Network for Scene Graph Generation. - Zhi Chen; Yibing Zhan (CICAI (1), 2022)

Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon. - Rui Jin; Yibing Zhan; Rong Zhang 004 (CICAI (3), 2022)

Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network. - Suguo Zhu; Yibing Zhan; Guo Zhao (CICAI (1), 2022)

HL-Net: Heterophily Learning Network for Scene Graph Generation. - Xin Lin; Changxing Ding; Yibing Zhan; Zijian Li 011; Dacheng Tao (CVPR, 2022)

RU-Net: Regularized Unrolling Network for Scene Graph Generation. - Xin Lin; Changxing Ding; Jing Zhang 037; Yibing Zhan; Dacheng Tao (CVPR, 2022)

Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. - Lixiang Ru; Yibing Zhan; Baosheng Yu; Bo Du 001 (CVPR, 2022)

Contrastive Boundary Learning for Point Cloud Segmentation. - Liyao Tang; Yibing Zhan; Zhe Chen 013; Baosheng Yu; Dacheng Tao (CVPR, 2022)

Learning Graph Neural Networks for Image Style Transfer. - Yongcheng Jing; Yining Mao; Yiding Yang; Yibing Zhan; Mingli Song; Xinchao Wang; Dacheng Tao (ECCV (7), 2022)

Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. - Gaoang Wang; Yibing Zhan; Xinchao Wang; Mingli Song; Klara Nahrstedt (ECCV (25), 2022)

TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. - Yu Cao 014; Dianqi Li; Meng Fang; Tianyi Zhou 001; Jun Gao; Yibing Zhan; Dacheng Tao (EMNLP, 2022)

Improving Adversarial Robustness via Mutual Information Estimation. - Dawei Zhou 004; Nannan Wang 001; Xinbo Gao 001; Bo Han 003; Xiaoyu Wang 002; Yibing Zhan; Tongliang Liu (ICML, 2022)

MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. - Xuemeng Song; Jingjing Chen 001; Federico Becattini; Weili Guan; Yibing Zhan; Tat-Seng Chua (ACM Multimedia, 2022)

Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Bo Du 001; Dacheng Tao (MMSP, 2022)

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. - Shikun Li; Xiaobo Xia; Hansong Zhang 003; Yibing Zhan; Shiming Ge; Tongliang Liu (NeurIPS, 2022)

Pluralistic Image Completion with Gaussian Mixture Models. - Xiaobo Xia; Wenhao Yang; Jie Ren; Yewen Li; Yibing Zhan; Bo Han 003; Tongliang Liu (NeurIPS, 2022)

Masked Graph Auto-Encoder Constrained Graph Pooling. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Dapeng Tao; Bo Du 001; Wenbin Hu 001 (ECML/PKDD (2), 2022)

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. - Jun Rao; Fei Wang 032; Liang Ding 006; Shuhan Qi; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (SIGIR, 2022)

Vega-MT: The JD Explore Academy Machine Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (WMT, 2022)

Dual-branch Density Ratio Estimation for Signed Network Embedding. - Pinghua Xu; Yibing Zhan; Liu Liu 014; Baosheng Yu; Bo Du 001; Jia Wu 001; Wenbin Hu 001 (WWW, 2022)

Hyper-relationship Learning Network for Scene Graph Generation. - Yibing Zhan; Zhi Chen 010; Jun Yu 002; Baosheng Yu; Dacheng Tao; Yong Luo 002 (CoRR, 2022)

A Review of Affective Generation Models. - Guangtao Nie; Yibing Zhan (CoRR, 2022)

Exploring High-Order Structure for Robust Graph Structure Learning. - Guangqian Yang; Yibing Zhan; Jinlong Li; Baosheng Yu; Liu Liu 014; Fengxiang He (CoRR, 2022)

BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. - Zhi Hou; Baosheng Yu; Chaoyue Wang; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Pluralistic Image Completion with Probabilistic Mixture-of-Experts. - Xiaobo Xia; Wenhao Yang; Jie Ren; Yewen Li; Yibing Zhan; Bo Han 003; Tongliang Liu (CoRR, 2022)

CLNode: Curriculum Learning for Node Classification. - Xiaowen Wei; Weiwei Liu 003; Yibing Zhan; Bo Du 001; Wenbin Hu 001 (CoRR, 2022)

Vega-MT: The JD Explore Academy Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. - Qihuang Zhong; Liang Ding 006; Yibing Zhan; Yu Qiao 001; Yonggang Wen 001; Li Shen 008; Juhua Liu; Baosheng Yu; Bo Du 001; Yixin Chen 001; Xinbo Gao 001; Chunyan Miao; et al. (CoRR, 2022)

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. - Baopu Qiu; Liang Ding 006; Di Wu; Lin Shang 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. - Lixiang Ru; Bo Du 001; Yibing Zhan; Chen Wu 003 (Int. J. Comput. Vis., 2022)

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection. - Jia Liu; Wenjie Xuan; Yuhang Gan; Yibing Zhan; Juhua Liu; Bo Du 001 (Pattern Recognit., 2022)

Multi-level graph learning network for hyperspectral image classification. - Sheng Wan; Shirui Pan; Shengwei Zhong 001; Jie Yang 002; Jian Yang 003; Yibing Zhan; Chen Gong 002 (Pattern Recognit., 2022)

Deep relational self-Attention networks for scene graph generation. - Ping Li; Zhou Yu 001; Yibing Zhan (Pattern Recognit. Lett., 2022)

Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. - Xianjing Han; Xingning Dong; Xuemeng Song; Tian Gan; Yibing Zhan; Yan Yan 002; Liqiang Nie (IEEE Trans. Circuits Syst. Video Technol., 2022)

BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing. - Yiqiang Wu; Dapeng Tao; Yibing Zhan; Chenyang Zhang (IEEE Trans. Image Process., 2022)

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. - Qingyue Wang; Liang Ding 006; Yanan Cao 001; Yibing Zhan; Zheng Lin 001; Shi Wang 002; Dacheng Tao; Li Guo 001 (ACL (1), 2023)

Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. - Yuanyuan Liu 004; Wenbin Wang 001; Yibing Zhan; Shaoze Feng; Kejun Liu; Zhe Chen 013 (CVPR, 2023)

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

RGD-VNet: Raw, Generative, and Discriminant Views Network for Boosting Postoperative Complication Prediction. - Dapeng Tao; Chunxiao Quan; Yaosheng Hu; Yiqiang Wu; Yibing Zhan; Hua Jin (ICCAI, 2023)

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. - Xiaobo Xia; Bo Han 003; Yibing Zhan; Jun Yu 001; Mingming Gong; Chen Gong 002; Tongliang Liu (ICCV, 2023)

Gapformer: Graph Transformer with Graph Pooling for Node Classification. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2023)

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. - Chuang Liu 008; Yibing Zhan; Jia Wu 001; Chang Li; Bo Du 001; Wenbin Hu 001; Tongliang Liu; Dacheng Tao (IJCAI, 2023)

Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval. - Xingyu Shen; Xiang Zhang 008; Xun Yang 001; Yibing Zhan; Long Lan; Jianfeng Dong; Hongzhou Wu (ACM Multimedia, 2023)

CLNode: Curriculum Learning for Node Classification. - Xiaowen Wei; Xiuwen Gong; Yibing Zhan; Bo Du 001; Yong Luo 002; Wenbin Hu 001 (WSDM, 2023)

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. - Qihuang Zhong; Liang Ding 006; Keqin Peng; Juhua Liu; Bo Du 001; Li Shen 008; Yibing Zhan; Dacheng Tao (CoRR, 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)

Chasing Consistency in Text-to-3D Generation from a Single Image. - Yichen Ouyang; Wenhao Chai; Jiayi Ye; Dapeng Tao; Yibing Zhan; Gaoang Wang (CoRR, 2023)

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibin Lei; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (CoRR, 2023)

Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (CoRR, 2023)

Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. - Jianqing Zhu; Liu Liu 014; Yibing Zhan; Xiaobin Zhu 001; Huanqiang Zeng; Dacheng Tao (Int. J. Comput. Vis., 2023)

Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. - Zhiqiu Xia; Chunpeng Wang 001; Yongwei Li; Baosheng Yu; Yibing Zhan; Qi Li 029; Xingyuan Wang 001; Bin Ma 003 (J. Frankl. Inst., 2023)

Metapath-fused heterogeneous graph network for molecular property prediction. - Ying Ji; Guojia Wan; Yibing Zhan; Bo Du 001 (Inf. Sci., 2023)

Expression snippet transformer for robust video-based facial expression recognition. - Yuanyuan Liu 004; Wenbin Wang 001; Chuanxu Feng; Haoyu Zhang 001; Zhe Chen 013; Yibing Zhan (Pattern Recognit., 2023)

Multi-target Knowledge Distillation via Student Self-reflection. - Jianping Gou; Xiangshuo Xiong; Baosheng Yu; Lan Du 002; Yibing Zhan; Dacheng Tao (Int. J. Comput. Vis., 2023)

Region-adaptive Concept Aggregation for Few-shot Visual Recognition. - Mengya Han; Yibing Zhan; Baosheng Yu; Yong Luo 002; Han Hu 003; Bo Du 001; Yonggang Wen 001; Dacheng Tao (Mach. Intell. Res., 2023)

Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. - Fan Lu 001; Guang Chen 001; Yinlong Liu; Yibing Zhan; Zhijun Li 001; Dacheng Tao; Changjun Jiang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Channel-Correlation-Based Selective Knowledge Distillation. - Jianping Gou; Xiangshuo Xiong; Baosheng Yu; Yibing Zhan; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2023)

KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. - Dong Zhao; Guojia Wan; Yibing Zhan; Zengmao Wang; Liang Ding 006; Zhigao Zheng 001; Bo Du 001 (Knowl. Based Syst., 2023)

On exploring node-feature and graph-structure diversities for node drop graph pooling. - Chuang Liu 008; Yibing Zhan; Baosheng Yu; Liu Liu 014; Bo Du 001; Wenbin Hu 001; Tongliang Liu (Neural Networks, 2023)

A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. - Xinyao Li; Yibing Zhan; Yanhua Zhao; Yiqiang Wu; Liang Ding 006; Yuanyuan Li; Dapeng Tao; Hua Jin (Inf. Fusion, 2023)

Graph structure reforming framework enhanced by commute time distance for graph classification. - Wenhang Yu; Xueqi Ma; James Bailey 001; Yibing Zhan; Jia Wu 001; Bo Du 001; Wenbin Hu 001 (Neural Networks, 2023)

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. - Xin Lin; Chong Shi; Yibing Zhan; Zuopeng Yang; Yaqi Wu; Dacheng Tao (AAAI, 2024)

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. - Zhiyao Ren; Yibing Zhan; Liang Ding 006; Gaoang Wang; Chaoyue Wang; Zhongyi Fan; Dacheng Tao (AAAI, 2024)

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. - Wentao Tan; Changxing Ding; Jiayu Jiang; Fei Wang 032; Yibing Zhan; Dapeng Tao (CVPR, 2024)

Multimodal Feature Analysis for Surgery Duration Predication. - Xiuwen Li; Yibing Zhan; Jun Ni; Fei Cai; Hua Jin; Xu Lin; Yufeng Zhang 002; Dapeng Tao (ICBBT, 2024)

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. - Anke Tang; Li Shen 008; Yong Luo 002; Yibing Zhan; Han Hu 003; Bo Du 001; Yixin Chen 001; Dacheng Tao (ICLR, 2024)

A Dual-module Framework for Counterfactual Estimation over Time. - Xin Wang 179; Shengfei Lyu; Lishan Yang; Yibing Zhan; Huanhuan Chen (ICML, 2024)

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. - Ziyi Zhang 001; Sen Zhang 006; Yibing Zhan; Yong Luo 002; Yonggang Wen 001; Dacheng Tao (ICML, 2024)

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. - Chuang Liu 008; Yuyao Wang; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2024)

Gradformer: Graph Transformer with Exponential Decay. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Shirui Pan; Wenbin Hu 001 (IJCAI, 2024)

MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. - Kanxue Li; Baosheng Yu; Qi Zheng; Yibing Zhan; Yuhui Zhang; Tianle Zhang; Yijun Yang; Yue Chen; Lei Sun; Qiong Cao; Li Shen 008; Lusong Li; et al. (IJCAI, 2024)

Joint Input and Output Coordination for Class-Incremental Learning. - Shuai Wang 011; Yibing Zhan; Yong Luo 002; Han Hu 003; Wei Yu 004; Yonggang Wen 001; Dacheng Tao (IJCAI, 2024)

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

Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting. - Yuanyuan Liu 004; Yuxuan Huang; Shuyang Liu; Yibing Zhan; Zijing Chen; Zhe Chen 013 (ACM Multimedia, 2024)

An Efficient Multi-prior Hybrid Approach for Consistent 3D Generation from Single Images. - Yichen Ouyang; Jiayi Ye; Wenhao Chai; Dapeng Tao; Yibing Zhan; Gaoang Wang (MMAsia, 2024)

TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation. - Xin Lin; Chong Shi; Yibing Zhan; Zuopeng Yang; Yaqi Wu; Dacheng Tao (CoRR, 2024)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. - Zhiyao Ren; Yibing Zhan; Baosheng Yu; Liang Ding 006; Dacheng Tao (CoRR, 2024)

Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond. - Yuanyuan Liu 004; Ke Wang; Lin Wei; Jingying Chen; Yibing Zhan; Dapeng Tao; Zhe Chen 013 (CoRR, 2024)

Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. - Hanyao Wang; Yibing Zhan; Liu Liu; Liang Ding 006; Jun Yu (CoRR, 2024)

Towards Training A Chinese Large Language Model for Anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (CoRR, 2024)

Hi-GMAE: Hierarchical Graph Masked Autoencoders. - Chuang Liu 008; Zelin Yao; Yibing Zhan; Xueqi Ma; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Shirui Pan; Bo Du 001 (CoRR, 2024)

Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks. - Tianle Zhang; Dongjiang Li; Yihang Li; Zecui Zeng; Lin Zhao; Lei Sun; Yue Chen; Xuelong Wei; Yibing Zhan; Lusong Li; Xiaodong He 001 (CoRR, 2024)

Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. - Mian Zou; Baosheng Yu; Yibing Zhan; Siwei Lyu; Kede Ma (CoRR, 2024)

DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts. - Zelin Yao; Chuang Liu 008; Xianke Meng; Yibing Zhan; Jia Wu 001; Shirui Pan; Wenbin Hu 001 (CoRR, 2024)

HAG-Former: A Temporal-Polarimetric Relationship Inference Network From Local to Global. - Jun Ni; Kun Tian; Carlos López-Martínez; Yibing Zhan; Xu Lin; Dapeng Tao (IEEE Geosci. Remote. Sens. Lett., 2024)

IoUformer: Pseudo-IoU prediction with transformer for visual tracking. - Huayue Cai; Long Lan; Jing Zhang 037; Xiang Zhang 008; Yibing Zhan; Zhigang Luo (Neural Networks, 2024)

Finding core labels for maximizing generalization of graph neural networks. - Sichao Fu; Xueqi Ma; Yibing Zhan; Fanyu You; Qinmu Peng; Tongliang Liu; James Bailey 001; Danilo P. Mandic (Neural Networks, 2024)

Exploring sparsity in graph transformers. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2024)

Joint Spatial-Spectral Optimization for the High-Magnification Fusion of Hyperspectral and Multispectral Images. - Jian Long; Yibing Zhan; Zhengbin Pang; Tong Zhou 008; Xueqiong Li; Long Lan; Yuanxi Peng (IEEE Trans. Geosci. Remote. Sens., 2024)

Difference-Aware Distillation for Semantic Segmentation. - Jianping Gou; Xiabin Zhou; Lan Du 002; Yibing Zhan; Wu Chen 005; Zhang Yi 001 (IEEE Trans. Multim., 2024)

Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. - Mengya Han; Yibing Zhan; Yong Luo 002; Han Hu 003; Kehua Su; Bo Du 001 (IEEE Trans. Multim., 2024)

Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. - Linfei Wang; Yibing Zhan; Wei Liu 005; Baosheng Yu; Dapeng Tao (IEEE Trans. Multim., 2024)

Attentional Composition Networks for Long-Tailed Human Action Recognition. - Haoran Wang 001; Yajie Wang; Baosheng Yu; Yibing Zhan; Chunfeng Yuan; Wankou Yang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Few-Shot Learning With Dynamic Graph Structure Preserving. - Sichao Fu; Qiong Cao; Yunwen Lei; Yujie Zhong; Yibing Zhan; Xinge You (IEEE Trans. Ind. Informatics, 2024)

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. - Shengyu Hao; Peiyuan Liu; Yibing Zhan; Kaixun Jin; Zuozhu Liu; Mingli Song; Jenq-Neng Hwang; Gaoang Wang (Int. J. Comput. Vis., 2024)

Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. - Mengya Han; Yibing Zhan; Yong Luo 002; Bo Du 001; Han Hu 003; Yonggang Wen 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Free-Form Composition Networks for Egocentric Action Recognition. - Haoran Wang 001; Qinghua Cheng; Baosheng Yu; Yibing Zhan; Dapeng Tao; Liang Ding 006; Haibin Ling (IEEE Trans. Circuits Syst. Video Technol., 2024)

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. - Chuang Liu 008; Xueqi Ma; Yibing Zhan; Liang Ding 006; Dapeng Tao; Bo Du 001; Wenbin Hu 001; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2024)

DeIoU: Toward Distinguishable Box Prediction in Densely Packed Object Detection. - Linfei Wang; Yibing Zhan; Long Lan; Xu Lin; Dapeng Tao; Xinbo Gao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. - Weigang Lu; Yibing Zhan; Binbin Lin; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

Boosting Graph Contrastive Learning via Adaptive Sampling. - Sheng Wan; Yibing Zhan; Shuo Chen 003; Shirui Pan; Jian Yang 003; Dacheng Tao; Chen Gong 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Modeling All Response Surfaces in One for Conditional Search Spaces. - Jiaxing Li; Wei Liu; Chao Xue; Yibing Zhan; Xiaoxing Wang; Weifeng Liu 001; Dacheng Tao (AAAI, 2025)

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. - Weigang Lu; Ziyu Guan; Wei Zhao 019; Yaming Yang 002; Yibing Zhan; Yiheng Lu; Dapeng Tao (AAAI, 2025)

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. - Wentao Tan; Qiong Cao; Yibing Zhan; Chao Xue; Changxing Ding (AAAI, 2025)

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. - Tianle Xia; Liang Ding 006; Guojia Wan; Yibing Zhan; Bo Du 001; Dacheng Tao (AAAI, 2025)

Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. - Yanfang Zhang; Yiliu Sun; Yibing Zhan; Dapeng Tao; Dacheng Tao; Chen Gong 002 (COLING, 2025)

End-to-End HOI Reconstruction Transformer with Graph-based Encoding. - Zhenrong Wang; Qi Zheng; Sihan Ma; Maosheng Ye; Yibing Zhan; Dongjiang Li (CVPR, 2025)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies. - Mian Zou; Baosheng Yu; Yibing Zhan; Kede Ma (ICASSP, 2025)

SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). - Weigang Lu; Yibing Zhan; Binbin Lin; Ziyu Guan; Liu Liu 014; Baosheng Yu; Wei Zhao 019; Yaming Yang 002; Dacheng Tao (ICDE, 2025)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. - Zheng Yi Ho; Siyuan Liang; Sen Zhang 006; Yibing Zhan; Dacheng Tao (ICLR, 2025)

NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network. - Wenjing Yang 002; Haoang Chi; Yibing Zhan; Bowen Hu; Xiaoguang Ren; Dapeng Tao; Long Lan (Artif. Intell., 2025)

G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels. - Ziyu Guan; Beilei Ling; Weigang Lu; Meng Yan 013; Yaming Yang 002; Wei Zhao 019; Yibing Zhan; Dapeng Tao (Neurocomputing, 2025)

Hypnos: A domain-specific large language model for anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (Neurocomputing, 2025)

Degradation-adaptive attack-robust self-supervised facial representation learning. - Ke Wang; Yuanyuan Liu; Chang Tang; Kun Sun; Yibing Zhan; Zhe Chen (Neurocomputing, 2025)

Graph explicit pooling for graph-level representation learning. - Chuang Liu 008; Wenhang Yu; Kuang Gao; Xueqi Ma; Yibing Zhan; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2025)

On neural architecture search and hyperparameter optimization: A max-flow based approach. - Chao Xue; Jiaxing Li; Xiaoxing Wang; Yibing Zhan; Junchi Yan; Chun-Guang Li (Neural Networks, 2025)

Distilling interaction knowledge for semi-supervised egocentric action recognition. - Haoran Wang 001; Jiahao Yang; Baosheng Yu; Yibing Zhan; Dapeng Tao; Haibin Ling (Pattern Recognit., 2025)

PMTSeg: Prompt-Driven Multimodal Transformer for Task-Adapted Remote Sensing Image Segmentation. - Kejun Liu; Xuesong Yan 001; Yuanyuan Liu 004; Chang Tang; Yibing Zhan; Wei Luo; Wujie Zhou; Hongyan Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Parameter-Free Spectral-Spatial Optimization Algorithm for Semiblind Hyperspectral and Multispectral Image Fusion. - Jian Long; Jialin Gui; Yuanxi Peng; Yibing Zhan; Jun Li 094; Quan Zhang; Yulei Tian (IEEE Trans. Geosci. Remote. Sens., 2025)

Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. - Mian Zou; Baosheng Yu; Yibing Zhan; Siwei Lyu; Kede Ma (IEEE Trans. Inf. Forensics Secur., 2025)

Cps-STS: Bridging the Gap Between Content and Position for Coarse-Point-Supervised Scene Text Spotter. - Weida Chen; Jie Jiang 015; Linfei Wang; Huafeng Li; Yibing Zhan; Dapeng Tao (IEEE Trans. Multim., 2025)

Facial Expression Recognition With Heatmap Neighbor Contrastive Learning. - Tong Liu; Jing Li 055; Jia Wu 001; Bo Du 001; Yibing Zhan; Dapeng Tao; Jun Wan 005 (IEEE Trans. Multim., 2025)

SpliceMix: A Cross-Scale and Semantic Blending Augmentation Strategy for Multi-Label Image Classification. - Lei Wang 095; Yibing Zhan; Leilei Ma 002; Dapeng Tao; Liang Ding 006; Chen Gong 002 (IEEE Trans. Multim., 2025)

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Zheng He; Dapeng Tao (CoRR, 2025)

An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation. - Dongjiang Li; Bo Peng; Chang Li; Ning Qiao; Qi Zheng; Lei Sun; Yusen Qin; Bangguo Li; Yifeng Luan; Yibing Zhan; Mingang Sun; Tong Xu; et al. (CoRR, 2025)

Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. - Linfei Wang; Yibing Zhan; Xu Lin; Baosheng Yu; Liang Ding 006; Jianqing Zhu; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation. - Zhiyao Ren; Yibing Zhan; Baosheng Yu; Dacheng Tao (CoRR, 2025)

Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation. - Jianping Gou; Youhui Cheng; Yibing Zhan; Baosheng Yu; Weihua Ou; Zhang Yi 001 (IEEE Trans. Big Data, 2025)

Noise-Resistant Multimodal Transformer for Emotion Recognition. - Yuanyuan Liu 004; Haoyu Zhang 001; Yibing Zhan; Zijing Chen; Guanghao Yin; Lin Wei; Zhe Chen 013 (Int. J. Comput. Vis., 2025)

Re-Initialization Token Learning for Tool-Augmented Large Language Models. - Chenghao Li; Liu Liu 014; Baosheng Yu; Jiayan Qiu; Yibing Zhan (CoRR, 2025)

Sample-Cohesive Pose-Aware Contrastive Facial Representation Learning. - Yuanyuan Liu 004; Shaoze Feng; Shuyang Liu; Yibing Zhan; Dapeng Tao; Zijing Chen; Zhe Chen 013 (Int. J. Comput. Vis., 2025)

SCAWaveNet: A Spatial-Channel Attention-Based Network for Global Significant Wave Height Retrieval. - Chong Zhang; Xichao Liu; Yibing Zhan; Dapeng Tao; Jun Ni; Jinwei Bu (CoRR, 2025)

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought. - Wentao Tan; Qiong Cao; Yibing Zhan; Chao Xue; Changxing Ding (CoRR, 2025)

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. - Weigang Lu; Ziyu Guan; Wei Zhao 019; Yaming Yang 002; Yujie Sun; Zheng Liang; Yibing Zhan; Dapeng Tao (CoRR, 2025)

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection. - Mian Zou; Nan Zhong; Baosheng Yu; Yibing Zhan; Kede Ma (CoRR, 2025)

Learning to Explore Sample Relationships. - Zhi Hou; Baosheng Yu; Chaoyue Wang; Yibing Zhan; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. - Bohao Zhou; Yibing Zhan; Zhonghai Wang; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Weifeng Liu 001; Xiongbin Wang; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Shuai Liu 002; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2025)