Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos. - Haimin Zhang 001; Min Xu 001 (ICIP, 2016)

Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos. - Haimin Zhang 001; Min Xu 001 (CoRR, 2016)

Modelling Temporal Information Using Discrete Fourier Transform for Video Classification. - Haimin Zhang 001; Min Xu 001; Changsheng Xu; Ramesh C. Jain (CoRR, 2016)

LSTM-based Flight Trajectory Prediction. - Zhiyuan Shi; Min Xu 001; Quan Pan 001; Bing Yan; Haimin Zhang 001 (IJCNN, 2018)

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization. - Haimin Zhang 001; Min Xu 001 (CoRR, 2018)

Recognition of Emotions in User-Generated Videos With Kernelized Features. - Haimin Zhang 001; Min Xu 001 (IEEE Trans. Multim., 2018)

Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction. - Madhumita A. Takalkar; Haimin Zhang 001; Min Xu 001 (MMM (1), 2019)

Multi-level region-based Convolutional Neural Network for image emotion classification. - Tianrong Rao; Xiaoxu Li; Haimin Zhang 001; Min Xu 001 (Neurocomputing, 2019)

Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation. - Haimin Zhang 001; Min Xu 001 (Knowl. Based Syst., 2020)

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. - Haimin Zhang 001; Min Xu 001 (CoRR, 2021)

GEME: Dual-stream multi-task GEnder-based micro-expression recognition. - Xuan Nie; Madhumita A. Takalkar; Mengyang Duan; Haimin Zhang 001; Min Xu 001 (Neurocomputing, 2021)

Graph neural networks with multiple kernel ensemble attention. - Haimin Zhang 001; Min Xu 001 (Knowl. Based Syst., 2021)

Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images. - Haimin Zhang 001; Min Xu 001 (IEEE Trans. Multim., 2021)

An efficient multitask neural network for face alignment, head pose estimation and face tracking. - Jiahao Xia 001; Haimin Zhang 001; Shiping Wen 001; Shuo Yang 006; Min Xu 001 (Expert Syst. Appl., 2022)

Multimodal Hyperspectral Image Classification via Interconnected Fusion. - Lu Huo; Jiahao Xia 001; Leijie Zhang; Haimin Zhang 001; Min Xu 001 (CoRR, 2023)

Multiscale Emotion Representation Learning for Affective Image Recognition. - Haimin Zhang 001; Min Xu 001 (IEEE Trans. Multim., 2023)

Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning. - Haimin Zhang 001; Min Xu 001 (IEEE Trans. Multim., 2023)

Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. - Jiahao Xia 001; Min Xu 001; Haimin Zhang 001; Jianguo Zhang 001; Wenjian Huang; Hu Cao; Shiping Wen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. - Yunxiao Shi; Xing Zi; Zijing Shi; Haimin Zhang 001; Qiang Wu 001; Min Xu 001 (ECAI, 2024)

A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. - Yunxiao Shi; Min Xu 001; Haimin Zhang 001; Xing Zi; Qiang Wu 001 (MMGR@MM, 2024)

RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks. - Haimin Zhang 001; Min Xu 001 (CoRR, 2024)

Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs. - Haimin Zhang 001; Min Xu 001 (CoRR, 2024)

Conditional Local Feature Encoding for Graph Neural Networks. - Yongze Wang; Haimin Zhang 001; Qiang Wu 001; Min Xu 001 (CoRR, 2024)

ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization. - Yunxiao Shi; Xing Zi; Zijing Shi; Haimin Zhang 001; Qiang Wu 001; Min Xu 001 (CoRR, 2024)

Differential Encoding for Improved Representation Learning over Graphs. - Haimin Zhang 001; Jiahao Xia 001; Min Xu 001 (CoRR, 2024)

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. - Yunxiao Shi; Wujiang Xu; Mingyu Jin; Haimin Zhang 001; Qiang Wu 001; Yongfeng Zhang; Min Xu 001 (CoRR, 2024)

Center-bridged Interaction Fusion for hyperspectral and LiDAR classification. - Lu Huo; Jiahao Xia 001; Leijie Zhang; Haimin Zhang 001; Min Xu 001 (Neurocomputing, 2024)

Towards High-Quality Photorealistic Image Style Transfer. - Hong Ding; Haimin Zhang 001; Gang Fu; Caoqing Jiang; Fei Luo 004; Chunxia Xiao; Min Xu 001 (IEEE Trans. Multim., 2024)

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. - Haimin Zhang 001; Min Xu 001; Guoqiang Zhang 003; Kenta Niwa (IEEE Trans. Neural Networks Learn. Syst., 2024)

Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion. - Yingqi Wang; Zhong-qin Wang; Jian Andrew Zhang; Haimin Zhang 001; Min Xu 001 (IEEE Trans. Mob. Comput., 2024)

Learning Graph Representations Through Learning and Propagating Edge Features. - Haimin Zhang 001; Jiahao Xia 001; Guoqiang Zhang 003; Min Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Unsupervised Part Discovery via Dual Representation Alignment. - Jiahao Xia 001; Wenjian Huang; Min Xu 001; Jianguo Zhang 001; Haimin Zhang 001; Ziyu Sheng; Dong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning. - Haimin Zhang 001; Min Xu 001 (Trans. Mach. Learn. Res., 2025)

Mitigating Knowledge Discrepancies among Multiple Datasets for Task-agnostic Unified Face Alignment. - Jiahao Xia 001; Min Xu 001; Wenjian Huang; Jianguo Zhang 001; Haimin Zhang 001; Chunxia Xiao (CoRR, 2025)

Passive Human Tracking With WiFi Point Clouds. - Zhongqin Wang; J. Andrew Zhang; Haimin Zhang 001; Min Xu 001; Y. Jay Guo (IEEE Internet Things J., 2025)