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2020 – today
- 2025
[j43]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing 624: 129389 (2025)- [j42]Chuang Liu
, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du:
Graph explicit pooling for graph-level representation learning. Neural Networks 181: 106790 (2025) - [j41]Haoran Wang, Jiahao Yang, Baosheng Yu, Yibing Zhan, Dapeng Tao, Haibin Ling:
Distilling interaction knowledge for semi-supervised egocentric action recognition. Pattern Recognit. 157: 110927 (2025) - [c58]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. COLING 2025: 5040-5057 - 2024
- [j40]Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. Int. J. Comput. Vis. 132(4): 1075-1090 (2024) - [j39]Jun Ni, Kun Tian, Carlos López-Martínez, Yibing Zhan, Xu Lin, Dapeng Tao:
HAG-Former: A Temporal-Polarimetric Relationship Inference Network From Local to Global. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j38]Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Yibing Zhan, Zhigang Luo:
IoUformer: Pseudo-IoU prediction with transformer for visual tracking. Neural Networks 170: 548-563 (2024) - [j37]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring sparsity in graph transformers. Neural Networks 174: 106265 (2024) - [j36]Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic:
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - [j35]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9967-9978 (2024) - [j34]Linfei Wang, Yibing Zhan, Long Lan, Xu Lin, Dapeng Tao, Xinbo Gao:
DeIoU: Toward Distinguishable Box Prediction in Densely Packed Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(11): 11086-11100 (2024) - [j33]Jian Long, Yibing Zhan, Zhengbin Pang, Tong Zhou, Xueqiong Li, Long Lan, Yuanxi Peng:
Joint Spatial-Spectral Optimization for the High-Magnification Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j32]Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You:
Few-Shot Learning With Dynamic Graph Structure Preserving. IEEE Trans. Ind. Informatics 20(3): 3306-3315 (2024) - [j31]Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 36(11): 7030-7043 (2024) - [j30]Mengya Han, Yibing Zhan, Yong Luo, Han Hu, Kehua Su, Bo Du:
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition. IEEE Trans. Multim. 26: 2408-2418 (2024) - [j29]Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao:
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression. IEEE Trans. Multim. 26: 5181-5193 (2024) - [j28]Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi:
Difference-Aware Distillation for Semantic Segmentation. IEEE Trans. Multim. 26: 10069-10080 (2024) - [j27]Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao:
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5447-5460 (2024) - [j26]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - [j25]Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong:
Boosting Graph Contrastive Learning via Adaptive Sampling. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15971-15983 (2024) - [j24]Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang:
Attentional Composition Networks for Long-Tailed Human Action Recognition. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 8:1-8:18 (2024) - [c57]Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao:
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation. AAAI 2024: 3495-3503 - [c56]Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao:
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI 2024: 4667-4675 - [c55]Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao:
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID. CVPR 2024: 17127-17137 - [c54]Xiuwen Li, Yibing Zhan, Jun Ni, Fei Cai, Hua Jin, Xu Lin, Yufeng Zhang, Dapeng Tao:
Multimodal Feature Analysis for Surgery Duration Predication. ICBBT 2024: 188-195 - [c53]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization. ICLR 2024 - [c52]Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen:
A Dual-module Framework for Counterfactual Estimation over Time. ICML 2024 - [c51]Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao:
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. ICML 2024 - [c50]Kanxue Li, Baosheng Yu, Qi Zheng, Yibing Zhan, Yuhui Zhang, Tianle Zhang, Yijun Yang, Yue Chen, Lei Sun, Qiong Cao, Li Shen, Lusong Li, Dapeng Tao, Xiaodong He:
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models. IJCAI 2024: 129-138 - [c49]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. IJCAI 2024: 2171-2179 - [c48]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. IJCAI 2024: 2180-2188 - [c47]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. IJCAI 2024: 5108-5116 - [c46]Yuanyuan Liu, Yuxuan Huang, Shuyang Liu, Yibing Zhan, Zijing Chen, Zhe Chen:
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting. ACM Multimedia 2024: 5722-5731 - [c45]Zhongyi Fan, Zixin Yin, Gang Li, Yibing Zhan, Heliang Zheng:
DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing. ACM Multimedia 2024: 11013-11021 - [c44]Yichen Ouyang, Jiayi Ye, Wenhao Chai, Dapeng Tao, Yibing Zhan, Gaoang Wang:
An Efficient Multi-prior Hybrid Approach for Consistent 3D Generation from Single Images. MMAsia 2024: 68:1 - [i64]Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao:
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation. CoRR abs/2401.12479 (2024) - [i63]Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong:
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning. CoRR abs/2402.03667 (2024) - [i62]Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao:
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR abs/2402.08552 (2024) - [i61]Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao:
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR abs/2402.13408 (2024) - [i60]Yuanyuan Liu, Ke Wang, Lin Wei, Jingying Chen, Yibing Zhan, Dapeng Tao, Zhe Chen:
Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond. CoRR abs/2402.13589 (2024) - [i59]Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu:
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. CoRR abs/2402.18400 (2024) - [i58]Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu:
Towards Training A Chinese Large Language Model for Anesthesiology. CoRR abs/2403.02742 (2024) - [i57]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu:
Gradformer: Graph Transformer with Exponential Decay. CoRR abs/2404.15729 (2024) - [i56]Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu:
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders. CoRR abs/2404.15806 (2024) - [i55]Yuanyuan Liu, Yuxuan Huang, Shuyang Liu, Yibing Zhan, Zijing Chen, Zhe Chen:
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting. CoRR abs/2404.17100 (2024) - [i54]Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao:
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR abs/2405.01649 (2024) - [i53]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method. CoRR abs/2405.08487 (2024) - [i52]Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du:
Hi-GMAE: Hierarchical Graph Masked Autoencoders. CoRR abs/2405.10642 (2024) - [i51]Tianle Zhang, Dongjiang Li, Yihang Li, Zecui Zeng, Lin Zhao, Lei Sun, Yue Chen, Xuelong Wei, Yibing Zhan, Lusong Li, Xiaodong He:
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks. CoRR abs/2405.18860 (2024) - [i50]Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma:
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach. CoRR abs/2408.16305 (2024) - [i49]Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao:
Joint Input and Output Coordination for Class-Incremental Learning. CoRR abs/2409.05620 (2024) - [i48]Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao:
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models. CoRR abs/2410.08970 (2024) - [i47]Zelin Yao, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Wenbin Hu:
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts. CoRR abs/2411.03025 (2024) - [i46]Yuanyuan Liu, Lin Wei, Kejun Liu, Yibing Zhan, Zijing Chen, Zhe Chen, Shiguang Shan:
Smile upon the Face but Sadness in the Eyes: Emotion Recognition based on Facial Expressions and Eye Behaviors. CoRR abs/2411.05879 (2024) - [i45]Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao:
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. CoRR abs/2412.08144 (2024) - [i44]Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding:
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution. CoRR abs/2412.15650 (2024) - 2023
- [j23]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao:
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20(4): 554-568 (2023) - [j22]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao:
Multi-target Knowledge Distillation via Student Self-reflection. Int. J. Comput. Vis. 131(7): 1857-1874 (2023) - [j21]Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao:
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning. Int. J. Comput. Vis. 131(11): 2959-2976 (2023) - [j20]Xinyao Li, Yibing Zhan, Yanhua Zhao, Yiqiang Wu, Liang Ding, Yuanyuan Li, Dapeng Tao, Hua Jin:
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. Inf. Fusion 99: 101838 (2023) - [j19]Ying Ji, Guojia Wan, Yibing Zhan, Bo Du:
Metapath-fused heterogeneous graph network for molecular property prediction. Inf. Sci. 629: 155-168 (2023) - [j18]Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma:
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments. J. Frankl. Inst. 360(7): 4493-4518 (2023) - [j17]Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du:
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. Knowl. Based Syst. 278: 110772 (2023) - [j16]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On exploring node-feature and graph-structure diversities for node drop graph pooling. Neural Networks 167: 559-571 (2023) - [j15]Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Graph structure reforming framework enhanced by commute time distance for graph classification. Neural Networks 168: 539-548 (2023) - [j14]Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang:
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11270-11282 (2023) - [j13]Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan:
Expression snippet transformer for robust video-based facial expression recognition. Pattern Recognit. 138: 109368 (2023) - [j12]Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi:
Channel-Correlation-Based Selective Knowledge Distillation. IEEE Trans. Cogn. Dev. Syst. 15(3): 1574-1585 (2023) - [c43]Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) 2023: 2048-2061 - [c42]Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du:
Token Contrast for Weakly-Supervised Semantic Segmentation. CVPR 2023: 3093-3102 - [c41]Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen:
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CVPR 2023: 9717-9728 - [c40]Dapeng Tao, Chunxiao Quan, Yaosheng Hu, Yiqiang Wu, Yibing Zhan, Hua Jin:
RGD-VNet: Raw, Generative, and Discriminant Views Network for Boosting Postoperative Complication Prediction. ICCAI 2023: 236-242 - [c39]Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu:
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. ICCV 2023: 1833-1843 - [c38]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu:
Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI 2023: 2196-2205 - [c37]Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. IJCAI 2023: 6712-6722 - [c36]Xingyu Shen, Xiang Zhang, Xun Yang, Yibing Zhan, Long Lan, Jianfeng Dong, Hongzhou Wu:
Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval. ACM Multimedia 2023: 4109-4118 - [c35]Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu:
CLNode: Curriculum Learning for Node Classification. WSDM 2023: 670-678 - [i43]Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang:
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes. CoRR abs/2302.07676 (2023) - [i42]Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao:
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR abs/2302.09268 (2023) - [i41]Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao:
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR abs/2303.00501 (2023) - [i40]Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du:
Token Contrast for Weakly-Supervised Semantic Segmentation. CoRR abs/2303.01267 (2023) - [i39]Yuanyuan Liu, Haoyu Zhang, Yibing Zhan, Zijing Chen, Guanghao Yin, Lin Wei, Zhe Chen:
Noise-Resistant Multimodal Transformer for Emotion Recognition. CoRR abs/2305.02814 (2023) - [i38]Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo:
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. CoRR abs/2306.00434 (2023) - [i37]Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu:
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling. CoRR abs/2306.12726 (2023) - [i36]Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling:
Free-Form Composition Networks for Egocentric Action Recognition. CoRR abs/2307.06527 (2023) - [i35]Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, Gaoang Wang:
Chasing Consistency in Text-to-3D Generation from a Single Image. CoRR abs/2309.03599 (2023) - [i34]Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR abs/2309.16599 (2023) - [i33]Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao:
Parameter Efficient Multi-task Model Fusion with Partial Linearization. CoRR abs/2310.04742 (2023) - [i32]Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu:
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes. CoRR abs/2311.12644 (2023) - [i31]Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong:
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification. CoRR abs/2311.15200 (2023) - [i30]Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du:
Exploring Sparsity in Graph Transformers. CoRR abs/2312.05479 (2023) - 2022
- [j11]Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu:
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. Int. J. Comput. Vis. 130(4): 1127-1144 (2022) - [j10]Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong:
Multi-level graph learning network for hyperspectral image classification. Pattern Recognit. 129: 108705 (2022) - [j9]Jia Liu, Wenjie Xuan, Yuhang Gan, Yibing Zhan, Juhua Liu, Bo Du:
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection. Pattern Recognit. 132: 108960 (2022) - [j8]Ping Li, Zhou Yu, Yibing Zhan:
Deep relational self-Attention networks for scene graph generation. Pattern Recognit. Lett. 153: 200-206 (2022) - [j7]Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie:
Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8611-8622 (2022) - [j6]Yiqiang Wu, Dapeng Tao, Yibing Zhan, Chenyang Zhang:
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing. IEEE Trans. Image Process. 31: 6635-6648 (2022) - [c34]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation. AAAI 2022: 212-220 - [c33]Rui Jin, Yibing Zhan, Rong Zhang:
Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon. CICAI (3) 2022: 144-154 - [c32]Zhi Chen, Yibing Zhan:
Relative Position Relationship Learning Network for Scene Graph Generation. CICAI (1) 2022: 551-559 - [c31]Suguo Zhu, Yibing Zhan, Guo Zhao:
Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network. CICAI (1) 2022: 609-621 - [c30]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CVPR 2022: 8479-8489 - [c29]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CVPR 2022: 16825-16834 - [c28]Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao:
RU-Net: Regularized Unrolling Network for Scene Graph Generation. CVPR 2022: 19435-19444 - [c27]Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao:
HL-Net: Heterophily Learning Network for Scene Graph Generation. CVPR 2022: 19454-19463 - [c26]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. ECCV (25) 2022: 110-128 - [c25]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128 - [c24]Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao:
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. EMNLP 2022: 11975-11992 - [c23]Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu:
Improving Adversarial Robustness via Mutual Information Estimation. ICML 2022: 27338-27352 - [c22]Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. ACM Multimedia 2022: 7416-7417 - [c21]Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao:
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition. MMSP 2022: 1-6 - [c20]Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu:
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning. NeurIPS 2022 - [c19]Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu:
Pluralistic Image Completion with Gaussian Mixture Models. NeurIPS 2022 - [c18]Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu:
Masked Graph Auto-Encoder Constrained Graph Pooling. ECML/PKDD (2) 2022: 377-393 - [c17]Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR 2022: 2727-2737 - [c16]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT 2022: 411-422 - [c15]Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu:
Dual-branch Density Ratio Estimation for Signed Network Embedding. WWW 2022: 1651-1662 - [e1]Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9498-7 [contents] - [i29]Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du:
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation. CoRR abs/2201.06794 (2022) - [i28]Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu:
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling. CoRR abs/2202.04812 (2022) - [i27]Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo:
Hyper-relationship Learning Network for Scene Graph Generation. CoRR abs/2202.07271 (2022) - [i26]Guangtao Nie, Yibing Zhan:
A Review of Affective Generation Models. CoRR abs/2202.10763 (2022) - [i25]Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du:
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. CoRR abs/2203.02664 (2022) - [i24]Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao:
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR abs/2203.03853 (2022) - [i23]Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao:
Contrastive Boundary Learning for Point Cloud Segmentation. CoRR abs/2203.05272 (2022) - [i22]Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He:
Exploring High-Order Structure for Robust Graph Structure Learning. CoRR abs/2203.11492 (2022) - [i21]Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao:
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning. CoRR abs/2204.01254 (2022) - [i20]Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao:
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities. CoRR abs/2204.07321 (2022) - [i19]Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao:
RU-Net: Regularized Unrolling Network for Scene Graph Generation. CoRR abs/2205.01297 (2022) - [i18]Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao:
HL-Net: Heterophily Learning Network for Scene Graph Generation. CoRR abs/2205.01316 (2022) - [i17]Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu:
Pluralistic Image Completion with Probabilistic Mixture-of-Experts. CoRR abs/2205.09086 (2022) - [i16]Xiaowen Wei, Weiwei Liu, Yibing Zhan, Bo Du, Wenbin Hu:
CLNode: Curriculum Learning for Node Classification. CoRR abs/2206.07258 (2022) - [i15]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR abs/2207.08629 (2022) - [i14]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. CoRR abs/2207.11681 (2022) - [i13]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. CoRR abs/2207.11789 (2022) - [i12]Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu:
Improving Adversarial Robustness via Mutual Information Estimation. CoRR abs/2207.12203 (2022) - [i11]Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao:
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition. CoRR abs/2209.03034 (2022) - [i10]Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao:
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR abs/2209.09444 (2022) - [i9]Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao:
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack. CoRR abs/2210.15221 (2022) - [i8]Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Zhe Chen, Shaoze Feng, Kejun Liu:
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation. CoRR abs/2211.13490 (2022) - [i7]Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao:
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR abs/2212.01853 (2022) - [i6]Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao:
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. CoRR abs/2212.10257 (2022) - 2021
- [c14]Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. AAAI 2021: 4626-4634 - [c13]Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du:
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. ICCV 2021: 10488-10497 - [c12]Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie:
Collocation and Try-on Network: Whether an Outfit is Compatible. ACM Multimedia 2021: 309-317 - [c11]Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao:
A Question Answering System for Unstructured Table Images. ACM Multimedia 2021: 2783-2785 - [c10]Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong:
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels. NeurIPS 2021: 6316-6327 - [c9]Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie:
Comprehensive Linguistic-Visual Composition Network for Image Retrieval. SIGIR 2021: 1369-1378 - [i5]Xueying Chen, Rong Zhang, Yibing Zhan:
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval. CoRR abs/2106.13552 (2021) - [i4]Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan:
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition. CoRR abs/2109.08409 (2021) - [i3]Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao:
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks. CoRR abs/2112.11628 (2021) - 2020
- [j5]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
Multi-task Compositional Network for Visual Relationship Detection. Int. J. Comput. Vis. 128(8): 2146-2165 (2020) - [c8]Xueying Chen, Rong Zhang, Yibing Zhan:
Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval. ICIP 2020: 2391-2395 - [c7]Yanan Li, Jun Yu, Yibing Zhan, Zhi Chen:
Relationship graph learning network for visual relationship detection. MMAsia 2020: 59:1-59:7 - [i2]Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing. CoRR abs/2012.13538 (2020)
2010 – 2019
- 2019
- [c6]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. CVPR 2019: 5128-5137 - [i1]Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao:
On Exploring Undetermined Relationships for Visual Relationship Detection. CoRR abs/1905.01595 (2019) - 2018
- [j4]Yibing Zhan, Rong Zhang:
No-Reference Image Sharpness Assessment Based on Maximum Gradient and Variability of Gradients. IEEE Trans. Multim. 20(7): 1796-1808 (2018) - [c5]Yunfei Wu, Rong Zhang, Yibing Zhan:
Attention-Based Convolutional Neural Network for the Detection of Built-Up Areas in High-Resolution SAR Images. IGARSS 2018: 4495-4498 - [c4]Yibing Zhan, Jun Yu, Zhou Yu, Rong Zhang, Dacheng Tao, Qi Tian:
Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval. ACM Multimedia 2018: 1137-1145 - 2017
- [j3]Yibing Zhan, Rong Zhang:
No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change. IEEE Signal Process. Lett. 24(6): 760-764 (2017) - [j2]Yibing Zhan, Rong Zhang, Qian Wu:
A Structural Variation Classification Model for Image Quality Assessment. IEEE Trans. Multim. 19(8): 1837-1847 (2017) - 2016
- [c3]Yibing Zhan, Rong Zhang, Qian Wu, You Wu:
A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images. ICASSP 2016: 1095-1099 - [c2]Yibing Zhan, Rong Zhang:
A novel structural variation detection strategy for image quality assessment. ICIP 2016: 2072-2076 - 2015
- [c1]Yibing Zhan, Rong Zhang:
Image quality assessment based on structure variance classification. ICASSP 2015: 1662-1666 - 2014
- [j1]Anzhou Hu, Rong Zhang, Dong Yin, Yibing Zhan:
Image quality assessment using a SVD-based structural projection. Signal Process. Image Commun. 29(3): 293-302 (2014)
Coauthor Index
[c58] [j31] [j27] [j25] [c57] [c56] [c53] [c51] [c47] [i64] [i63] [i62] [i61] [i54] [i49] [i48] [j23] [j22] [j21] [j14] [c43] [c37] [i42] [i41] [i38] [i34] [i33] [c30] [c28] [c27] [c25] [c24] [c21] [c17] [c16] [i27] [i24] [i23] [i21] [i20] [i19] [i18] [i14] [i11] [i10] [i9] [i7] [i6] [c14] [c11] [i3] [j5] [i2] [c6] [i1] [c4]
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