Comparative Study of Adversarial Training Methods for Long-tailed Classification. - Xiangxian Li; Haokai Ma; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 2021)

Comparative Study of Adversarial Training Methods for Cold-Start Recommendation. - Haokai Ma; Xiangxian Li; Lei Meng 001; Xiangxu Meng (AdvM @ ACM Multimedia, 2021)

Personalized User Interface Elements Recommendation System. - Hao Liu; Xiangxian Li; Wei Gai; Yu Huang; Jingbo Zhou; Chenglei Yang (CGI, 2022)

Prompt Learning with Cross-Modal Feature Alignment for Visual Domain Adaptation. - Jinxing Liu; Junjin Xiao; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Sequential Fusion of Multi-view Video Frames for 3D Scene Generation. - Weilin Sun; Xiangxian Li; Manyi Li; Yuqing Wang; Yuze Zheng; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

Causal Inference with Sample Balancing for Out-of-Distribution Detection in Visual Classification. - Yuqing Wang; Xiangxian Li; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (CICAI (1), 2022)

VAFA: A Visually-Aware Food Analysis System for Socially-Engaged Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CICAI (3), 2022)

Meta-Causal Feature Learning for Out-of-Distribution Generalization. - Yuqing Wang; Xiangxian Li; Zhuang Qi; Jingyu Li; Xuelong Li 003; Xiangxu Meng; Lei Meng 001 (ECCV Workshops (6), 2022)

A Visually-Aware Food Analysis System for Diet Management. - Hang Wu; Xi Chen; Xuelong Li 003; Haokai Ma; Yuze Zheng; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ICME Workshops, 2022)

Unsupervised Contrastive Masking for Visual Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

Unsupervised Segmentation of Haze Regions as Hard Attention for Haze Classification. - Jingyu Li; Haokai Ma; Xiangxian Li; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (ICIG (4), 2023)

A Multi-View Co-Learning Method for Multimodal Sentiment Analysis. - Wenxiu Geng; Yulong Bian; Xiangxian Li (ICME, 2023)

Cross-Modal Content Inference and Feature Enrichment for Cold-Start Recommendation. - Haokai Ma; Zhuang Qi; Xinxin Dong; Xiangxian Li; Yuze Zheng; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

Multi-channel Attentive Weighting of Visual Frames for Multimodal Video Classification. - Yuqing Wang; Zhuang Qi; Xiangxian Li; Jinxing Liu; Xiangxu Meng; Lei Meng 001 (IJCNN, 2023)

A Dual-branch Enhanced Multi-task Learning Network for Multimodal Sentiment Analysis. - Wenxiu Geng; Xiangxian Li; Yulong Bian (ICMR, 2023)

Class-level Structural Relation Modeling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (ACM Multimedia, 2023)

Class-aware Convolution and Attentive Aggregation for Image Classification. - Zitan Chen; Zhuang Qi; Xiangxian Li; Yuqing Wang; Lei Meng 001; Xiangxu Meng (MMAsia, 2023)

Class-level Structural Relation Modelling and Smoothing for Visual Representation Learning. - Zitan Chen; Zhuang Qi; Xiao Cao; Xiangxian Li; Xiangxu Meng; Lei Meng 001 (CoRR, 2023)

Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal Alignment. - Yuze Zheng; Zixuan Li; Xiangxian Li; Jinxing Liu; Yuqing Wang; Xiangxu Meng; Lei Meng 001 (ICANN (6), 2024)

The Role of VR Serious Games in Emotion Regulation: An Empirical Evaluation. - Yawen Zheng; Xinlei Liu; Xiangxian Li; Juan Liu 008; Yulong Bian; Chenglei Yang (IIKI, 2024)

Causal inference for out-of-distribution recognition via sample balancing. - Yuqing Wang; Xiangxian Li; Yannan Liu; Xiao Cao; Xiangxu Meng; Lei Meng 001 (CAAI Trans. Intell. Technol., 2024)

Are We in The Zone? Exploring The Features and Method of Detecting Simultaneous Flow Experiences Based on EEG Signals. - Baiqiao Zhang; Xiangxian Li; Yunfan Zhou; Juan Liu 008; Weiying Liu; Chao Zhou 012; Yulong Bian (CoRR, 2024)

Cross-modal learning using privileged information for long-tailed image classification. - Xiangxian Li; Yuze Zheng; Haokai Ma; Zhuang Qi; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Media, 2024)

Causal Inference over Visual-Semantic-Aligned Graph for Image Classification. - Lei Meng 001; Xiangxian Li; Xiaoshuo Yan; Haokai Ma; Zhuang Qi; Wei Wu; Xiangxu Meng (AAAI, 2025)

Computing Flow Experience Based on Physiological Signals: A Systematic Literature Review. - Yichen Hong; Chao Zhou 012; Zelu Liu; Ni Zifeng; Juan Liu 008; Xiangxian Li; Chenglei Yang; Yulong Bian (CHI Extended Abstracts, 2025)

C2E-Net: Cascade attention and context-aware cross-level fusion network via edge learning guidance for polyp segmentation. - Xu Mao; Haiyan Li; Xiangxian Li; Chongbin Bai; Wenjun Ming (Comput. Biol. Medicine, 2025)

Enhancing Recognition of Stereotyped Movements in ASD Children Through Action Pattern Mining and Multi-Channel Fusion. - Baiqiao Zhang; Yanran Yuan; Wei Qin; Xiangxian Li; Weiying Liu; Wenxin Yao; Yulong Bian; Juan Liu 008 (IEEE J. Biomed. Health Informatics, 2025)

Exploring a Gamified Personality Assessment Method through Interaction with Multi-Personality LLM Agents. - Baiqiao Zhang; Xiangxian Li; Chao Zhou 012; Xinyu Gai; Zhifeng Liao; Juan Liu 008; Xue Yang; Niqi Liu; Xiaojuan Ma; Yongjin Liu; Yulong Bian (CoRR, 2025)

Addressing long-tailed distribution in judicial text for criminal motive classification: a balanced contrastive learning approach. - Ting Li; Lewen Mi; Xiangyu Meng; Yongju Jia; Lin Zhao; Qi Zhao; Zihao Wei; Guandong Gao; Xiangxian Li (EPJ Data Sci., 2025)