Yibing Zhan

221 papers A* 47A 1B 3C 2Misc 3Journal 151Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Contrastive knowledge embedding with discriminative self-weighted sampling.
Neural Networks
Sheng Wan, Yibing Zhan, Shirui Pan, Jian Yang, Chen Gong
2026 A* conf
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
AAAI
Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu
2026 J jnl
DA-MoE: Addressing depth-sensitivity in graph-level analysis through mixture of experts.
Neural Networks
Zelin Yao, Mukun Chen, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Huiting Xu, Wenbin Hu
2026 J jnl
Evaluating large language models for real-world perioperative clinical consultation.
Neurocomputing
Yanhong Li, Yibing Zhan, Baosheng Yu, Pingbo Xu, LiJing Chen, Chong Zhang, Chengli Zhou, Yunkai Zhang, Xiongbin Wang, Dapeng Tao
2026 J jnl
Focusing on pedestrians like human for clothes changing person re-identification.
Neural Networks
Wenjie Pan, Jianqing Zhu, Xiaolin Cui, Huanqiang Zeng, Yibing Zhan
2026 J jnl
Mind the data: Evaluating data quality sensitivity in medical LLMs.
Pattern Recognit. Lett.
Xiaodong Han, Yibing Zhan, Jun Ni, Baosheng Yu, Dapeng Tao
2026 J jnl
PREBA: Surgical Duration Prediction via PCA-Weighted Retrieval-Augmented LLMs and Bayesian Averaging Aggregation.
CoRR
Wanyin Wu, Kanxue Li, Baosheng Yu, Haoyun Zhao, Yibing Zhan, Dapeng Tao, Hua Jin
2026 A* conf
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs.
AAAI
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao
2026 J jnl
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation.
CoRR
Zhiyao Ren, Yibing Zhan, Siyuan Liang, Guozheng Ma, Baosheng Yu, Dacheng Tao
2026 J jnl
Towards alleviating hallucination in text-to-image retrieval for CLIP in zero-shot learning.
Neurocomputing
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Yan Yang, Jun Yu
2025 A* conf
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification.
AAAI
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao
2025 J jnl
Aligning Text-to-Image Diffusion Models With Constrained Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Ziyi Zhang, Sen Zhang, Li Shen, Yibing Zhan, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
An Atomic Skill Library Construction Method for Data-Efficient Embodied Manipulation.
CoRR
Dongjiang Li, Bo Peng, Chang Li, Ning Qiao, Qi Zheng, Lei Sun, Yusen Qin, Bangguo Li, Yifeng Luan, Yibing Zhan, Mingang Sun, Tong Xu, Lusong Li, Hui Shen, Xiaodong He
2025 J jnl
Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese.
IEEE Trans. Emerg. Top. Comput. Intell.
Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025 A* conf
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution.
AAAI
Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding
2025 J jnl
Bi-Level Optimization for Self-Supervised AI-Generated Face Detection.
CoRR
Mian Zou, Nan Zhong, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
Building accurate translation-tailored large language models with language-aware instruction tuning.
Frontiers Inf. Technol. Electron. Eng.
Changtong Zan, Liang Ding, Li Shen, Yibing Zhan, Xinghao Yang, Weifeng Liu
2025 J jnl
ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning.
CoRR
Wentao Tan, Qiong Cao, Chao Xue, Yibing Zhan, Changxing Ding, Xiaodong He
2025 J jnl
Cps-STS: Bridging the Gap Between Content and Position for Coarse-Point-Supervised Scene Text Spotter.
IEEE Trans. Multim.
Weida Chen, Jie Jiang, Linfei Wang, Huafeng Li, Yibing Zhan, Dapeng Tao
2025 J jnl
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
CoRR
Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu
2025 J jnl
Degradation-adaptive attack-robust self-supervised facial representation learning.
Neurocomputing
Ke Wang, Yuanyuan Liu, Chang Tang, Kun Sun, Yibing Zhan, Zhe Chen
2025 J jnl
Distilling interaction knowledge for semi-supervised egocentric action recognition.
Pattern Recognit.
Haoran Wang, Jiahao Yang, Baosheng Yu, Yibing Zhan, Dapeng Tao, Haibin Ling
2025 A* conf
End-to-End HOI Reconstruction Transformer with Graph-based Encoding.
CVPR
Zhenrong Wang, Qi Zheng, Sihan Ma, Maosheng Ye, Yibing Zhan, Dongjiang Li
2025 J jnl
End-to-End HOI Reconstruction Transformer with Graph-based Encoding.
CoRR
Zhenrong Wang, Qi Zheng, Sihan Ma, Maosheng Ye, Yibing Zhan, Dongjiang Li
2025 J jnl
Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection.
IEEE Trans. Emerg. Top. Comput. Intell.
Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao
2025 J jnl
Facial Expression Recognition With Heatmap Neighbor Contrastive Learning.
IEEE Trans. Multim.
Tong Liu, Jing Li, Jia Wu, Bo Du, Yibing Zhan, Dapeng Tao, Jun Wan
2025 J jnl
Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation.
IEEE Trans. Emerg. Top. Comput. Intell.
Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025 J jnl
From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought.
CoRR
Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding
2025 J jnl
Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models.
IEEE Trans. Fuzzy Syst.
Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Shuai Liu, Weiping Ding
2025 J jnl
G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels.
Neurocomputing
Ziyu Guan, Beilei Ling, Weigang Lu, Meng Yan, Yaming Yang, Wei Zhao, Yibing Zhan, Dapeng Tao
2025 J jnl
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation.
IEEE Trans. Big Data
Jianping Gou, Youhui Cheng, Yibing Zhan, Baosheng Yu, Weihua Ou, Zhang Yi
2025 J jnl
Graph explicit pooling for graph-level representation learning.
Neural Networks
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Wenbin Hu, Bo Du
2025 J jnl
Hypnos: A domain-specific large language model for anesthesiology.
Neurocomputing
Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2025 A* conf
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning.
AAAI
Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
2025 B conf
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning.
COLING
Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong
2025 J jnl
Learning to Explore Sample Relationships.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
2025 J jnl
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs.
CoRR
Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Zheng He, Dapeng Tao
2025 — conf
MIMIC-RxBench: Benchmarking Large Language Models for Prescription Error Classification.
APWeb-WAIM (4)
Shuanglin Zu, Yanhong Li, Yibing Zhan, Dapeng Tao
2025 A* conf
Modeling All Response Surfaces in One for Conditional Search Spaces.
AAAI
Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao
2025 J jnl
Modeling All Response Surfaces in One for Conditional Search Spaces.
CoRR
Jiaxing Li, Wei Liu, Chao Xue, Yibing Zhan, Xiaoxing Wang, Weifeng Liu, Dacheng Tao
2025 J jnl
NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network.
Artif. Intell.
Wenjing Yang, Haoang Chi, Yibing Zhan, Bowen Hu, Xiaoguang Ren, Dapeng Tao, Long Lan
2025 A* conf
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models.
ICLR
Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao
2025 J jnl
Noise-Resistant Multimodal Transformer for Emotion Recognition.
Int. J. Comput. Vis.
Yuanyuan Liu, Haoyu Zhang, Yibing Zhan, Zijing Chen, Guanghao Yin, Lin Wei, Zhe Chen
2025 J jnl
On neural architecture search and hyperparameter optimization: A max-flow based approach.
Neural Networks
Chao Xue, Jiaxing Li, Xiaoxing Wang, Yibing Zhan, Junchi Yan, Chun-Guang Li
2025 J jnl
PMTSeg: Prompt-Driven Multimodal Transformer for Task-Adapted Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Kejun Liu, Xuesong Yan, Yuanyuan Liu, Chang Tang, Yibing Zhan, Wei Luo, Wujie Zhou, Hongyan Zhang
2025 J jnl
Parameter-Free Spectral-Spatial Optimization Algorithm for Semiblind Hyperspectral and Multispectral Image Fusion.
IEEE Trans. Geosci. Remote. Sens.
Jian Long, Jialin Gui, Yuanxi Peng, Yibing Zhan, Jun Li, Quan Zhang, Yulei Tian
2025 J jnl
ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs.
CoRR
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao
2025 J jnl
Re-Initialization Token Learning for Tool-Augmented Large Language Models.
CoRR
Chenghao Li, Liu Liu, Baosheng Yu, Jiayan Qiu, Yibing Zhan
2025 J jnl
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation.
CoRR
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Dacheng Tao
2025 J jnl
SCAWaveNet: A Spatial-Channel Attention-Based Network for Global Significant Wave Height Retrieval.
CoRR
Chong Zhang, Xichao Liu, Yibing Zhan, Dapeng Tao, Jun Ni, Jinwei Bu
2025 J jnl
SCAWaveNet: A Spatial-Channel Attention-Based Network for Global Significant Wave Height Retrieval.
IEEE Trans. Geosci. Remote. Sens.
Chong Zhang, Xichao Liu, Jun Ni, Jinwei Bu, Yibing Zhan, Dapeng Tao
2025 J jnl
Sample-Cohesive Pose-Aware Contrastive Facial Representation Learning.
Int. J. Comput. Vis.
Yuanyuan Liu, Shaoze Feng, Shuyang Liu, Yibing Zhan, Dapeng Tao, Zijing Chen, Zhe Chen
2025 Misc conf
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies.
ICASSP
Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Kede Ma
2025 J jnl
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method.
IEEE Trans. Inf. Forensics Secur.
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2025 J jnl
Semantic segmentation in power grid scenarios using scale-transforming transformer.
Appl. Intell.
Wenjie Pan, Linhan Huang, Yutao Chen, Yuqing Fu, Jianqing Zhu, Yibing Zhan
2025 J jnl
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach.
IEEE Trans. Circuits Syst. Video Technol.
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2025 A* conf
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract).
ICDE
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2025 J jnl
Smile on the Face, Sadness in the Eyes: Bridging the Emotion Gap with a Multimodal Dataset of Eye and Facial Behaviors.
CoRR
Kejun Liu, Yuanyuan Liu, Lin Wei, Chang Tang, Yibing Zhan, Zijing Chen, Zhe Chen
2025 J jnl
SpliceMix: A Cross-Scale and Semantic Blending Augmentation Strategy for Multi-Label Image Classification.
IEEE Trans. Multim.
Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
2024 A* conf
A Dual-module Framework for Counterfactual Estimation over Time.
ICML
Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen
2024 J jnl
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification.
CoRR
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao
2024 J jnl
Affective Computing for Healthcare: Recent Trends, Applications, Challenges, and Beyond.
CoRR
Yuanyuan Liu, Ke Wang, Lin Wei, Jingying Chen, Yibing Zhan, Dapeng Tao, Zhe Chen
2024 — conf
An Efficient Multi-prior Hybrid Approach for Consistent 3D Generation from Single Images.
MMAsia
Yichen Ouyang, Jiayi Ye, Wenhao Chai, Dapeng Tao, Yibing Zhan, Gaoang Wang
2024 J jnl
Attentional Composition Networks for Long-Tailed Human Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Haoran Wang, Yajie Wang, Baosheng Yu, Yibing Zhan, Chunfeng Yuan, Wankou Yang
2024 J jnl
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning.
CoRR
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu
2024 J jnl
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution.
CoRR
Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding
2024 J jnl
Boosting Graph Contrastive Learning via Adaptive Sampling.
IEEE Trans. Neural Networks Learn. Syst.
Sheng Wan, Yibing Zhan, Shuo Chen, Shirui Pan, Jian Yang, Dacheng Tao, Chen Gong
2024 J jnl
Bounding Box Vectorization for Oriented Object Detection With Tanimoto Coefficient Regression.
IEEE Trans. Multim.
Linfei Wang, Yibing Zhan, Wei Liu, Baosheng Yu, Dapeng Tao
2024 J jnl
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2024 A* conf
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
ICML
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
2024 J jnl
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases.
CoRR
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
2024 J jnl
DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts.
CoRR
Zelin Yao, Chuang Liu, Xianke Meng, Yibing Zhan, Jia Wu, Shirui Pan, Wenbin Hu
2024 J jnl
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes.
Int. J. Comput. Vis.
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
2024 J jnl
DeIoU: Toward Distinguishable Box Prediction in Densely Packed Object Detection.
IEEE Trans. Circuits Syst. Video Technol.
Linfei Wang, Yibing Zhan, Long Lan, Xu Lin, Dapeng Tao, Xinbo Gao
2024 J jnl
Difference-Aware Distillation for Semantic Segmentation.
IEEE Trans. Multim.
Jianping Gou, Xiabin Zhou, Lan Du, Yibing Zhan, Wu Chen, Zhang Yi
2024 A* conf
DreamBooth++: Boosting Subject-Driven Generation via Region-Level References Packing.
ACM Multimedia
Zhongyi Fan, Zixin Yin, Gang Li, Yibing Zhan, Heliang Zheng
2024 J jnl
Empowering Embodied Manipulation: A Bimanual-Mobile Robot Manipulation Dataset for Household Tasks.
CoRR
Tianle Zhang, Dongjiang Li, Yihang Li, Zecui Zeng, Lin Zhao, Lei Sun, Yue Chen, Xuelong Wei, Yibing Zhan, Lusong Li, Xiaodong He
2024 J jnl
Exploring sparsity in graph transformers.
Neural Networks
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2024 J jnl
Few-Shot Learning With Dynamic Graph Structure Preserving.
IEEE Trans. Ind. Informatics
Sichao Fu, Qiong Cao, Yunwen Lei, Yujie Zhong, Yibing Zhan, Xinge You
2024 J jnl
Finding core labels for maximizing generalization of graph neural networks.
Neural Networks
Sichao Fu, Xueqi Ma, Yibing Zhan, Fanyu You, Qinmu Peng, Tongliang Liu, James Bailey, Danilo P. Mandic
2024 J jnl
Free-Form Composition Networks for Egocentric Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2024 A* conf
Gradformer: Graph Transformer with Exponential Decay.
IJCAI
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024 J jnl
Gradformer: Graph Transformer with Exponential Decay.
CoRR
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan, Wenbin Hu
2024 J jnl
HAG-Former: A Temporal-Polarimetric Relationship Inference Network From Local to Global.
IEEE Geosci. Remote. Sens. Lett.
Jun Ni, Kun Tian, Carlos López-Martínez, Yibing Zhan, Xu Lin, Dapeng Tao
2024 A* conf
Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID.
CVPR
Wentao Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao
2024 J jnl
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation.
CoRR
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
2024 J jnl
Hi-GMAE: Hierarchical Graph Masked Autoencoders.
CoRR
Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu, Shirui Pan, Bo Du
2024 J jnl
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning.
CoRR
Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
2024 J jnl
IoUformer: Pseudo-IoU prediction with transformer for visual tracking.
Neural Networks
Huayue Cai, Long Lan, Jing Zhang, Xiang Zhang, Yibing Zhan, Zhigang Luo
2024 A* conf
Joint Input and Output Coordination for Class-Incremental Learning.
IJCAI
Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao
2024 J jnl
Joint Input and Output Coordination for Class-Incremental Learning.
CoRR
Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao
2024 J jnl
Joint Spatial-Spectral Optimization for the High-Magnification Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens.
Jian Long, Yibing Zhan, Zhengbin Pang, Tong Zhou, Xueqiong Li, Long Lan, Yuanxi Peng
2024 J jnl
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning.
CoRR
Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, Dacheng Tao, Chen Gong
2024 A* conf
MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models.
IJCAI
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
2024 A* conf
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models.
AAAI
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao
2024 — conf
Multimodal Feature Analysis for Surgery Duration Predication.
ICBBT
Xiuwen Li, Yibing Zhan, Jun Ni, Fei Cai, Hua Jin, Xu Lin, Yufeng Zhang, Dapeng Tao
2024 J jnl
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models.
CoRR
Zheng Yi Ho, Siyuan Liang, Sen Zhang, Yibing Zhan, Dacheng Tao
2024 J jnl
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
2024 A* conf
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting.
ACM Multimedia
Yuanyuan Liu, Yuxuan Huang, Shuyang Liu, Yibing Zhan, Zijing Chen, Zhe Chen
2024 J jnl
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting.
CoRR
Yuanyuan Liu, Yuxuan Huang, Shuyang Liu, Yibing Zhan, Zijing Chen, Zhe Chen
2024 A* conf
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
ICLR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2024 J jnl
Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2024 J jnl
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding Approach.
CoRR
Mian Zou, Baosheng Yu, Yibing Zhan, Siwei Lyu, Kede Ma
2024 J jnl
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng.
Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2024 J jnl
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation.
CoRR
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
2024 A* conf
TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation.
AAAI
Xin Lin, Chong Shi, Yibing Zhan, Zuopeng Yang, Yaqi Wu, Dacheng Tao
2024 J jnl
Textual Enhanced Adaptive Meta-Fusion for Few-Shot Visual Recognition.
IEEE Trans. Multim.
Mengya Han, Yibing Zhan, Yong Luo, Han Hu, Kehua Su, Bo Du
2024 J jnl
Towards Training A Chinese Large Language Model for Anesthesiology.
CoRR
Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2024 A* conf
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
IJCAI
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2024 J jnl
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders.
CoRR
Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao, Jia Wu, Wenbin Hu
2023 J jnl
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison.
Inf. Fusion
Xinyao Li, Yibing Zhan, Yanhua Zhao, Yiqiang Wu, Liang Ding, YuanYuan Li, Dapeng Tao, Hua Jin
2023 J jnl
Attribute-Image Person Re-identification via Modal-Consistent Metric Learning.
Int. J. Comput. Vis.
Jianqing Zhu, Liu Liu, Yibing Zhan, Xiaobin Zhu, Huanqiang Zeng, Dacheng Tao
2023 J jnl
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
2023 A conf
CLNode: Curriculum Learning for Node Classification.
WSDM
Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu
2023 J jnl
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes.
CoRR
Chuang Liu, Wenhang Yu, Kuang Gao, Xueqi Ma, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023 J jnl
Channel-Correlation-Based Selective Knowledge Distillation.
IEEE Trans. Cogn. Dev. Syst.
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Yibing Zhan, Zhang Yi
2023 J jnl
Chasing Consistency in Text-to-3D Generation from a Single Image.
CoRR
Yichen Ouyang, Wenhao Chai, Jiayi Ye, Dapeng Tao, Yibing Zhan, Gaoang Wang
2023 A* conf
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples.
ICCV
Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
2023 J jnl
DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes.
CoRR
Shengyu Hao, Peiyuan Liu, Yibing Zhan, Kaixun Jin, Zuozhu Liu, Mingli Song, Jenq-Neng Hwang, Gaoang Wang
2023 — conf
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
ACL (1)
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
2023 J jnl
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
CoRR
Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
2023 J jnl
Exploring Sparsity in Graph Transformers.
CoRR
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2023 J jnl
Expression snippet transformer for robust video-based facial expression recognition.
Pattern Recognit.
Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan
2023 J jnl
Free-Form Composition Networks for Egocentric Action Recognition.
CoRR
Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2023 A* conf
Gapformer: Graph Transformer with Graph Pooling for Node Classification.
IJCAI
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
2023 J jnl
Geometrical attacks resilient statistical watermark decoder using polar harmonic Fourier moments.
J. Frankl. Inst.
Zhiqiu Xia, Chunpeng Wang, Yongwei Li, Baosheng Yu, Yibing Zhan, Qi Li, Xingyuan Wang, Bin Ma
2023 A* conf
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
IJCAI
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
2023 J jnl
Graph structure reforming framework enhanced by commute time distance for graph classification.
Neural Networks
Wenhang Yu, Xueqi Ma, James Bailey, Yibing Zhan, Jia Wu, Bo Du, Wenbin Hu
2023 J jnl
KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain.
Knowl. Based Syst.
Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du
2023 J jnl
Metapath-fused heterogeneous graph network for molecular property prediction.
Inf. Sci.
Ying Ji, Guojia Wan, Yibing Zhan, Bo Du
2023 J jnl
Multi-target Knowledge Distillation via Student Self-reflection.
Int. J. Comput. Vis.
Jianping Gou, Xiangshuo Xiong, Baosheng Yu, Lan Du, Yibing Zhan, Dacheng Tao
2023 J jnl
Noise-Resistant Multimodal Transformer for Emotion Recognition.
CoRR
Yuanyuan Liu, Haoyu Zhang, Yibing Zhan, Zijing Chen, Guanghao Yin, Lin Wei, Zhe Chen
2023 J jnl
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR
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
2023 J jnl
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling.
CoRR
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
On exploring node-feature and graph-structure diversities for node drop graph pooling.
Neural Networks
Chuang Liu, Yibing Zhan, Baosheng Yu, Liu Liu, Bo Du, Wenbin Hu, Tongliang Liu
2023 J jnl
Parameter Efficient Multi-task Model Fusion with Partial Linearization.
CoRR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2023 A* conf
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation.
CVPR
Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Shaoze Feng, Kejun Liu, Zhe Chen
2023 — conf
RGD-VNet: Raw, Generative, and Discriminant Views Network for Boosting Postoperative Complication Prediction.
ICCAI
Dapeng Tao, Chunxiao Quan, Yaosheng Hu, Yiqiang Wu, Yibing Zhan, Hua Jin
2023 J jnl
Region-adaptive Concept Aggregation for Few-shot Visual Recognition.
Mach. Intell. Res.
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2023 A* conf
Semantics-Enriched Cross-Modal Alignment for Complex-Query Video Moment Retrieval.
ACM Multimedia
Xingyu Shen, Xiang Zhang, Xun Yang, Yibing Zhan, Long Lan, Jianfeng Dong, Hongzhou Wu
2023 J jnl
Sparse-to-Dense Matching Network for Large-Scale LiDAR Point Cloud Registration.
IEEE Trans. Pattern Anal. Mach. Intell.
Fan Lu, Guang Chen, Yinlong Liu, Yibing Zhan, Zhijun Li, Dacheng Tao, Changjun Jiang
2023 J jnl
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification.
CoRR
Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
2023 A* conf
Token Contrast for Weakly-Supervised Semantic Segmentation.
CVPR
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
2023 J jnl
Token Contrast for Weakly-Supervised Semantic Segmentation.
CoRR
Lixiang Ru, Heliang Zheng, Yibing Zhan, Bo Du
2023 J jnl
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.
CoRR
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022 J jnl
A Review of Affective Generation Models.
CoRR
Guangtao Nie, Yibing Zhan
2022 J jnl
An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection.
Pattern Recognit.
Jia Liu, Wenjie Xuan, Yuhang Gan, Yibing Zhan, Juhua Liu, Bo Du
2022 J jnl
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning.
CoRR
Zhi Hou, Baosheng Yu, Chaoyue Wang, Yibing Zhan, Dacheng Tao
2022 J jnl
BiN-Flow: Bidirectional Normalizing Flow for Robust Image Dehazing.
IEEE Trans. Image Process.
Yiqiang Wu, Dapeng Tao, Yibing Zhan, Chenyang Zhang
2022 J jnl
CLNode: Curriculum Learning for Node Classification.
CoRR
Xiaowen Wei, Weiwei Liu, Yibing Zhan, Bo Du, Wenbin Hu
2022 J jnl
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks.
CoRR
Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2022 A* conf
Contrastive Boundary Learning for Point Cloud Segmentation.
CVPR
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
2022 J jnl
Contrastive Boundary Learning for Point Cloud Segmentation.
CoRR
Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao
2022 — conf
Deep Graph Convolutional Networks Based on Contrastive Learning: Alleviating Over-smoothing Phenomenon.
CICAI (3)
Rui Jin, Yibing Zhan, Rong Zhang
2022 J jnl
Deep relational self-Attention networks for scene graph generation.
Pattern Recognit. Lett.
Ping Li, Zhou Yu, Yibing Zhan
2022 J jnl
Divide-and-Conquer Predictor for Unbiased Scene Graph Generation.
IEEE Trans. Circuits Syst. Video Technol.
Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie
2022 A* conf
Dual-branch Density Ratio Estimation for Signed Network Embedding.
WWW
Pinghua Xu, Yibing Zhan, Liu Liu, Baosheng Yu, Bo Du, Jia Wu, Wenbin Hu
2022 A* conf
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning.
NeurIPS
Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu
2022 J jnl
Exploring High-Order Structure for Robust Graph Structure Learning.
CoRR
Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
2022 J jnl
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities.
CoRR
Chuang Liu, Yibing Zhan, Chang Li, Bo Du, Jia Wu, Wenbin Hu, Tongliang Liu, Dacheng Tao
2022 A* conf
HL-Net: Heterophily Learning Network for Scene Graph Generation.
CVPR
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao
2022 J jnl
HL-Net: Heterophily Learning Network for Scene Graph Generation.
CoRR
Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao
2022 J jnl
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
CoRR
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
2022 — conf
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection.
ECCV (25)
Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt
2022 J jnl
Hyper-relationship Learning Network for Scene Graph Generation.
CoRR
Yibing Zhan, Zhi Chen, Jun Yu, Baosheng Yu, Dacheng Tao, Yong Luo
2022 A* conf
Improving Adversarial Robustness via Mutual Information Estimation.
ICML
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022 J jnl
Improving Adversarial Robustness via Mutual Information Estimation.
CoRR
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu
2022 C conf
Knowledge Graph enhanced Multimodal Learning for Few-shot Visual Recognition.
MMSP
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Bo Du, Dacheng Tao
2022 A* conf
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
CVPR
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
2022 J jnl
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers.
CoRR
Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du
2022 — conf
Learning Graph Neural Networks for Image Style Transfer.
ECCV (7)
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
2022 J jnl
Learning Graph Neural Networks for Image Style Transfer.
CoRR
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao
2022 A* conf
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation.
ACM Multimedia
Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua
2022 — ed.
MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, Lisboa, Portugal, 14 October 2022
MCFR@MM
Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua
2022 — conf
Masked Graph Auto-Encoder Constrained Graph Pooling.
ECML/PKDD (2)
Chuang Liu, Yibing Zhan, Xueqi Ma, Dapeng Tao, Bo Du, Wenbin Hu
2022 J jnl
Multi-level graph learning network for hyperspectral image classification.
Pattern Recognit.
Sheng Wan, Shirui Pan, Shengwei Zhong, Jie Yang, Jian Yang, Yibing Zhan, Chen Gong
2022 — conf
Multi-model Lightweight Action Recognition with Group-Shuffle Graph Convolutional Network.
CICAI (1)
Suguo Zhu, Yibing Zhan, Guo Zhao
2022 J jnl
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition.
CoRR
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
2022 J jnl
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR
Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao
2022 A* conf
Pluralistic Image Completion with Gaussian Mixture Models.
NeurIPS
Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
2022 J jnl
Pluralistic Image Completion with Probabilistic Mixture-of-Experts.
CoRR
Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
2022 J jnl
Pose-disentangled Contrastive Learning for Self-supervised Facial Representation.
CoRR
Yuanyuan Liu, Wenbin Wang, Yibing Zhan, Zhe Chen, Shaoze Feng, Kejun Liu
2022 A* conf
RU-Net: Regularized Unrolling Network for Scene Graph Generation.
CVPR
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao
2022 J jnl
RU-Net: Regularized Unrolling Network for Scene Graph Generation.
CoRR
Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao
2022 — conf
Relative Position Relationship Learning Network for Scene Graph Generation.
CICAI (1)
Zhi Chen, Yibing Zhan
2022 A* conf
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation.
AAAI
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 J jnl
Resistance Training using Prior Bias: toward Unbiased Scene Graph Generation.
CoRR
Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du
2022 A* conf
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
EMNLP
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 J jnl
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack.
CoRR
Yu Cao, Dianqi Li, Meng Fang, Tianyi Zhou, Jun Gao, Yibing Zhan, Dacheng Tao
2022 J jnl
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR
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
2022 — conf
Vega-MT: The JD Explore Academy Machine Translation System for WMT22.
WMT
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022 J jnl
Vega-MT: The JD Explore Academy Translation System for WMT22.
CoRR
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022 J jnl
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling.
CoRR
Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu
2022 J jnl
Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling.
Int. J. Comput. Vis.
Lixiang Ru, Bo Du, Yibing Zhan, Chen Wu
2022 J jnl
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval.
CoRR
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022 A* conf
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
SIGIR
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2021 A* conf
A Question Answering System for Unstructured Table Images.
ACM Multimedia
Wenyuan Xue, Siqi Cai, Wen Wang, Qingyong Li, Baosheng Yu, Yibing Zhan, Dacheng Tao
2021 A* conf
Collocation and Try-on Network: Whether an Outfit is Compatible.
ACM Multimedia
Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie
2021 A* conf
Comprehensive Linguistic-Visual Composition Network for Image Retrieval.
SIGIR
Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie
2021 A* conf
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels.
NeurIPS
Sheng Wan, Yibing Zhan, Liu Liu, Baosheng Yu, Shirui Pan, Chen Gong
2021 A* conf
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing.
AAAI
Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
2021 J jnl
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition.
CoRR
Yuanyuan Liu, Wenbin Wang, Chuanxu Feng, Haoyu Zhang, Zhe Chen, Yibing Zhan
2021 J jnl
Graph Pattern Loss based Diversified Attention Network for Cross-Modal Retrieval.
CoRR
Xueying Chen, Rong Zhang, Yibing Zhan
2021 A* conf
Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search.
ICCV
Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du
2021 J jnl
SkipNode: On Alleviating Over-smoothing for Deep Graph Convolutional Networks.
CoRR
Weigang Lu, Yibing Zhan, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao
2020 J jnl
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing.
CoRR
Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao
2020 B conf
Graph Pattern Loss Based Diversified Attention Network For Cross-Modal Retrieval.
ICIP
Xueying Chen, Rong Zhang, Yibing Zhan
2020 J jnl
Multi-task Compositional Network for Visual Relationship Detection.
Int. J. Comput. Vis.
Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao
2020 — conf
Relationship graph learning network for visual relationship detection.
MMAsia
Yanan Li, Jun Yu, Yibing Zhan, Zhi Chen
2019 A* conf
On Exploring Undetermined Relationships for Visual Relationship Detection.
CVPR
Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao
2019 J jnl
On Exploring Undetermined Relationships for Visual Relationship Detection.
CoRR
Yibing Zhan, Jun Yu, Ting Yu, Dacheng Tao
2018 C conf
Attention-Based Convolutional Neural Network for the Detection of Built-Up Areas in High-Resolution SAR Images.
IGARSS
Yunfei Wu, Rong Zhang, Yibing Zhan
2018 A* conf
Comprehensive Distance-Preserving Autoencoders for Cross-Modal Retrieval.
ACM Multimedia
Yibing Zhan, Jun Yu, Zhou Yu, Rong Zhang, Dacheng Tao, Qi Tian
2018 J jnl
No-Reference Image Sharpness Assessment Based on Maximum Gradient and Variability of Gradients.
IEEE Trans. Multim.
Yibing Zhan, Rong Zhang
2017 J jnl
A Structural Variation Classification Model for Image Quality Assessment.
IEEE Trans. Multim.
Yibing Zhan, Rong Zhang, Qian Wu
2017 J jnl
No-Reference JPEG Image Quality Assessment Based on Blockiness and Luminance Change.
IEEE Signal Process. Lett.
Yibing Zhan, Rong Zhang
2016 Misc conf
A new haze image database with detailed air quality information and a novel no-reference image quality assessment method for haze images.
ICASSP
Yibing Zhan, Rong Zhang, Qian Wu, You Wu
2016 B conf
A novel structural variation detection strategy for image quality assessment.
ICIP
Yibing Zhan, Rong Zhang
2015 Misc conf
Image quality assessment based on structure variance classification.
ICASSP
Yibing Zhan, Rong Zhang
2014 J jnl
Image quality assessment using a SVD-based structural projection.
Signal Process. Image Commun.
Anzhou Hu, Rong Zhang, Dong Yin, Yibing Zhan