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Xiangxian Li
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2020 – today
- 2024
- [i5]Baiqiao Zhang, Xiangxian Li, Yunfan Zhou, Juan Liu, Weiying Liu, Chao Zhou, Yulong Bian:
Are We in The Zone? Exploring The Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals. CoRR abs/2405.02045 (2024) - [i4]Yuze Zheng, Zixuan Li, Xiangxian Li, Jinxing Liu, Yuqing Wang, Xiangxu Meng, Lei Meng:
Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment. CoRR abs/2407.18854 (2024) - 2023
- [c17]Jingyu Li, Haokai Ma, Xiangxian Li, Zhuang Qi, Xiangxu Meng, Lei Meng:
Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification. ICIG (4) 2023: 346-359 - [c16]Wenxiu Geng, Yulong Bian, Xiangxian Li
:
A Multi-View Co-Learning Method for Multimodal Sentiment Analysis. ICME 2023: 1373-1378 - [c15]Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li
, Yuze Zheng, Xiangxu Meng, Lei Meng:
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. IJCNN 2023: 1-8 - [c14]Yuqing Wang, Zhuang Qi, Xiangxian Li
, Jinxing Liu, Xiangxu Meng, Lei Meng:
Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. IJCNN 2023: 1-8 - [c13]Wenxiu Geng
, Xiangxian Li
, Yulong Bian
:
A Dual-branch Enhanced Multi-task Learning Network for Multimodal Sentiment Analysis. ICMR 2023: 481-489 - [c12]Zitan Chen
, Zhuang Qi
, Xiao Cao
, Xiangxian Li
, Xiangxu Meng
, Lei Meng
:
Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning. ACM Multimedia 2023: 2964-2972 - [c11]Zitan Chen
, Zhuang Qi
, Xiangxian Li
, Yuqing Wang
, Lei Meng
, Xiangxu Meng
:
Class-aware Convolution and Attentive Aggregation for Image Classification. MMAsia 2023: 20:1-20:7 - [i3]Haokai Ma, Zhuang Qi, Xinxin Dong, Xiangxian Li, Yuze Zheng, Xiangxu Meng, Lei Meng:
Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. CoRR abs/2307.02761 (2023) - [i2]Zitan Chen, Zhuang Qi, Xiao Cao, Xiangxian Li, Xiangxu Meng, Lei Meng:
Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning. CoRR abs/2308.04142 (2023) - 2022
- [c10]Hao Liu, Xiangxian Li
, Wei Gai, Yu Huang, Jingbo Zhou, Chenglei Yang:
Personalized User Interface Elements Recommendation System. CGI 2022: 424-436 - [c9]Jinxing Liu, Junjin Xiao, Haokai Ma, Xiangxian Li
, Zhuang Qi, Xiangxu Meng, Lei Meng:
Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation. CICAI (1) 2022: 416-428 - [c8]Hang Wu, Xi Chen, Xuelong Li, Haokai Ma, Yuze Zheng, Xiangxian Li
, Xiangxu Meng, Lei Meng:
VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management. CICAI (3) 2022: 554-558 - [c7]Yuqing Wang, Xiangxian Li
, Haokai Ma, Zhuang Qi, Xiangxu Meng, Lei Meng:
Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification. CICAI (1) 2022: 572-583 - [c6]Weilin Sun, Xiangxian Li
, Manyi Li, Yuqing Wang, Yuze Zheng, Xiangxu Meng, Lei Meng:
Sequential Fusion of Multi-view Video Frames for 3D Scene Generation. CICAI (1) 2022: 597-608 - [c5]Yuqing Wang, Xiangxian Li
, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng
:
Meta-Causal Feature Learning for Out-of-Distribution Generalization. ECCV Workshops (6) 2022: 530-545 - [c4]Hang Wu, Xi Chen, Xuelong Li, Haokai Ma, Yuze Zheng, Xiangxian Li
, Xiangxu Meng, Lei Meng:
A Visually-Aware Food Analysis System for Diet Management. ICME Workshops 2022: 1 - [c3]Jingyu Li, Haokai Ma, Xiangxian Li
, Zhuang Qi, Lei Meng, Xiangxu Meng:
Unsupervised Contrastive Masking for Visual Haze Classification. ICMR 2022: 426-434 - [i1]Yuqing Wang, Xiangxian Li, Zhuang Qi, Jingyu Li, Xuelong Li, Xiangxu Meng, Lei Meng:
Meta-Causal Feature Learning for Out-of-Distribution Generalization. CoRR abs/2208.10156 (2022) - 2021
- [c2]Xiangxian Li
, Haokai Ma, Lei Meng, Xiangxu Meng:
Comparative Study of Adversarial Training Methods for Long-tailed Classification. AdvM @ ACM Multimedia 2021: 1-7 - [c1]Haokai Ma, Xiangxian Li
, Lei Meng, Xiangxu Meng:
Comparative Study of Adversarial Training Methods for Cold-Start Recommendation. AdvM @ ACM Multimedia 2021: 28-34
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last updated on 2024-08-25 19:13 CEST by the dblp team
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