Haimin Zhang

According to our database, Haimin Zhang authored at least 51 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Part Discovery via Dual Representation Alignment.

Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Graph Representations Through Learning and Propagating Edge Features.

Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion.

Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu

IEEE Trans. Mob. Comput., May, 2024

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks.

Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Towards High-Quality Photorealistic Image Style Transfer.

Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu

IEEE Trans. Multim., 2024

Center-bridged Interaction Fusion for hyperspectral and LiDAR classification.

Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu

Neurocomputing, 2024

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction.

Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu

CoRR, 2024

Differential Encoding for Improved Representation Learning over Graphs.

Haimin Zhang, Jiahao Xia, Min Xu

CoRR, 2024

ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization.

Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu

CoRR, 2024

Conditional Local Feature Encoding for Graph Neural Networks.

Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu

CoRR, 2024

Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs.

Haimin Zhang, Min Xu

CoRR, 2024

RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks.

Haimin Zhang, Min Xu

CoRR, 2024

A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine.

Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu

Proceedings of the 2nd International Workshop on Deep Multimodal Generation and Retrieval, 2024

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, Qiang Wu, Min Xu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation.

Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2023

Multiscale Emotion Representation Learning for Affective Image Recognition.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2023

Multimodal Hyperspectral Image Classification via Interconnected Fusion.

Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu

CoRR, 2023

2022

An efficient multitask neural network for face alignment, head pose estimation and face tracking.

Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

Expert Syst. Appl., 2022

2021

Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2021

Graph neural networks with multiple kernel ensemble attention.

Haimin Zhang, Min Xu

Knowl. Based Syst., 2021

GEME: Dual-stream multi-task GEnder-based micro-expression recognition.

Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu

Neurocomputing, 2021

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks.

Haimin Zhang, Min Xu

CoRR, 2021

The Innovative Use of Ureter Catheter in the Surgery of Obstructive Uropathy.

Xiangcheng Zhan, Ding Liu, Guangchun Wang, Haimin Zhang, Aimaitiaji Kadier, Xudong Yao, Yunfei Xu

Comput. Math. Methods Medicine, 2021

On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles.

Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation.

Haimin Zhang, Min Xu

Knowl. Based Syst., 2020

Capture of 3D Human Motion Pose in Virtual Reality Based on Video Recognition.

Qiang Fu, Xingui Zhang, Jinxiu Xu, Haimin Zhang

Complex., 2020

MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings.

Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

An Annotated Dataset of Discourse Modes in Hindi Stories.

Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Amanda Stent

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Two-Step Classification using Recasted Data for Low Resource Settings.

Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

A Preliminary Exploration of GANs for Keyphrase Generation.

Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings.

Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the Advances in Information Retrieval, 2020

Keyphrase Generation for Scientific Articles Using GANs (Student Abstract).

Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-level region-based Convolutional Neural Network for image emotion classification.

Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu

Neurocomputing, 2019

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings.

Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann

CoRR, 2019

Keyphrase Generation for Scientific Articles using GANs.

Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

CoRR, 2019

Dialogue Act Classification in Group Chats with DAG-LSTMs.

Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz

CoRR, 2019

Suggestion Mining from Online Reviews using ULMFiT.

Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal

CoRR, 2019

Identifying Offensive Posts and Targeted Offense from Twitter.

Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal

CoRR, 2019

Optimal Layout of Wearable Intelligent Terminal Micro Sensor and Modeling of Elbow Movement Function Rehabilitation.

Haimin Zhang, Wenxian Xiao, Hongbo Jiang

IEEE Access, 2019

MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter.

Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, Rajiv Ratn Shah

Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter.

Debanjan Mahata, Haimin Zhang, Karan Uppal, Yaman Kumar, Rajiv Ratn Shah, Simra Shahid, Laiba Mehnaz, Sarthak Anand

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit.

Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction.

Madhumita A. Takalkar, Haimin Zhang, Min Xu

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

2018

Recognition of Emotions in User-Generated Videos With Kernelized Features.

Haimin Zhang, Min Xu

IEEE Trans. Multim., 2018

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization.

Haimin Zhang, Min Xu

CoRR, 2018

LSTM-based Flight Trajectory Prediction.

Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2016

Modelling Temporal Information Using Discrete Fourier Transform for Video Classification.

Haimin Zhang, Min Xu, Changsheng Xu, Ramesh C. Jain

CoRR, 2016

Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos.

Haimin Zhang, Min Xu

CoRR, 2016

Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos.

Haimin Zhang, Min Xu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2010

Modeling and Space-Time Correlation Analysis of MIMO Channel.

Aihua Wang, Haimin Zhang, Jihua Lu

Proceedings of the Second International Workshop on Database Technology and Applications, 2010