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Haimin Zhang
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2020 – today
- 2024
- [j18]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Center-bridged Interaction Fusion for hyperspectral and LiDAR classification. Neurocomputing 590: 127757 (2024) - [j17]Yingqi Wang, Zhong-qin Wang, Jian Andrew Zhang, Haimin Zhang, Min Xu:
Vital Sign Monitoring in Dynamic Environment via mmWave Radar and Camera Fusion. IEEE Trans. Mob. Comput. 23(5): 4163-4180 (2024) - [j16]Hong Ding, Haimin Zhang, Gang Fu, Caoqing Jiang, Fei Luo, Chunxia Xiao, Min Xu:
Towards High-Quality Photorealistic Image Style Transfer. IEEE Trans. Multim. 26: 9892-9905 (2024) - [j15]Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2223-2234 (2024) - [j14]Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu:
Learning Graph Representations Through Learning and Propagating Edge Features. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8429-8440 (2024) - [c15]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. ECAI 2024: 2258-2265 - [i22]Haimin Zhang, Min Xu:
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks. CoRR abs/2404.09774 (2024) - [i21]Haimin Zhang, Min Xu:
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs. CoRR abs/2404.09809 (2024) - [i20]Yongze Wang, Haimin Zhang, Qiang Wu, Min Xu:
Conditional Local Feature Encoding for Graph Neural Networks. CoRR abs/2405.04755 (2024) - [i19]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization. CoRR abs/2405.06683 (2024) - [i18]Haimin Zhang, Jiahao Xia, Min Xu:
Differential Encoding for Improved Representation Learning over Graphs. CoRR abs/2407.02758 (2024) - [i17]Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu:
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems. CoRR abs/2407.10670 (2024) - [i16]Jiahao Xia, Wenjian Huang, Min Xu, Jianguo Zhang, Haimin Zhang, Ziyu Sheng, Dong Xu:
Unsupervised Part Discovery via Dual Representation Alignment. CoRR abs/2408.08108 (2024) - [i15]Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu:
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. CoRR abs/2408.08713 (2024) - [i14]Yunxiao Shi, Min Xu, Haimin Zhang, Xing Zi, Qiang Wu:
A Learnable Agent Collaboration Network Framework for Personalized Multimodal AI Search Engine. CoRR abs/2409.00636 (2024) - 2023
- [j13]Jiahao Xia, Min Xu, Haimin Zhang, Jianguo Zhang, Wenjian Huang, Hu Cao, Shiping Wen:
Robust Face Alignment via Inherent Relation Learning and Uncertainty Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10358-10375 (2023) - [j12]Haimin Zhang, Min Xu:
Recognition of Emotions in User-Generated Videos through Frame-Level Adaptation and Emotion Intensity Learning. IEEE Trans. Multim. 25: 881-891 (2023) - [j11]Haimin Zhang, Min Xu:
Multiscale Emotion Representation Learning for Affective Image Recognition. IEEE Trans. Multim. 25: 2203-2212 (2023) - [i13]Lu Huo, Jiahao Xia, Leijie Zhang, Haimin Zhang, Min Xu:
Multimodal Hyperspectral Image Classification via Interconnected Fusion. CoRR abs/2304.00495 (2023) - 2022
- [j10]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An efficient multitask neural network for face alignment, head pose estimation and face tracking. Expert Syst. Appl. 205: 117368 (2022) - 2021
- [j9]Xiangcheng Zhan, Ding Liu, Guangchun Wang, Haimin Zhang, Aimaitiaji Kadier, Xudong Yao, Yunfei Xu:
The Innovative Use of Ureter Catheter in the Surgery of Obstructive Uropathy. Comput. Math. Methods Medicine 2021: 6668415:1-6668415:7 (2021) - [j8]Xuan Nie, Madhumita A. Takalkar, Mengyang Duan, Haimin Zhang, Min Xu:
GEME: Dual-stream multi-task GEnder-based micro-expression recognition. Neurocomputing 427: 13-28 (2021) - [j7]Haimin Zhang, Min Xu:
Graph neural networks with multiple kernel ensemble attention. Knowl. Based Syst. 229: 107299 (2021) - [j6]Haimin Zhang, Min Xu:
Weakly Supervised Emotion Intensity Prediction for Recomi/tmi40.htmlgnition of Emotions in Images. IEEE Trans. Multim. 23: 2033-2044 (2021) - [c14]Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang:
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. NAACL-HLT 2021: 4539-4545 - [i12]Haimin Zhang, Min Xu:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolution Networks. CoRR abs/2102.10338 (2021) - [i11]Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu:
An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking. CoRR abs/2103.07615 (2021) - [i10]Rakesh Gosangi, Ravneet Arora, Mohsen Gheisarieha, Debanjan Mahata, Haimin Zhang:
On the Use of Context for Predicting Citation Worthiness of Sentences in Scholarly Articles. CoRR abs/2104.08962 (2021) - 2020
- [j5]Qiang Fu, Xingui Zhang, Jinxiu Xu, Haimin Zhang:
Capture of 3D Human Motion Pose in Virtual Reality Based on Video Recognition. Complex. 2020: 8857748:1-8857748:17 (2020) - [j4]Haimin Zhang, Min Xu:
Improving the generalization performance of deep networks by dual pattern learning with adversarial adaptation. Knowl. Based Syst. 200: 106016 (2020) - [c13]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles Using GANs (Student Abstract). AAAI 2020: 13931-13932 - [c12]Dhruva Sahrawat, Debanjan Mahata, Haimin Zhang, Mayank Kulkarni, Agniv Sharma, Rakesh Gosangi, Amanda Stent, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction as Sequence Labeling Using Contextualized Embeddings. ECIR (2) 2020: 328-335 - [c11]Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
A Preliminary Exploration of GANs for Keyphrase Generation. EMNLP (1) 2020: 8021-8030 - [c10]Shagun Uppal, Vivek Gupta, Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent:
Two-Step Classification using Recasted Data for Low Resource Settings. AACL/IJCNLP 2020: 706-719 - [c9]Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Amanda Stent:
An Annotated Dataset of Discourse Modes in Hindi Stories. LREC 2020: 1191-1196 - [c8]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection Using Label Distribution Learning and Contextual Embeddings. SemEval@COLING 2020: 1678-1684 - [i9]Sarthak Anand, Pradyumna Gupta, Hemant Yadav, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah:
MIDAS at SemEval-2020 Task 10: Emphasis Selection using Label Distribution Learning and Contextual Embeddings. CoRR abs/2009.02619 (2020)
2010 – 2019
- 2019
- [j3]Haimin Zhang, Wenxian Xiao, Hongbo Jiang:
Optimal Layout of Wearable Intelligent Terminal Micro Sensor and Modeling of Elbow Movement Function Rehabilitation. IEEE Access 7: 158881-158891 (2019) - [j2]Tianrong Rao, Xiaoxu Li, Haimin Zhang, Min Xu:
Multi-level region-based Convolutional Neural Network for image emotion classification. Neurocomputing 333: 429-439 (2019) - [c7]Madhumita A. Takalkar, Haimin Zhang, Min Xu:
Improving Micro-expression Recognition Accuracy Using Twofold Feature Extraction. MMM (1) 2019: 652-664 - [c6]Debanjan Mahata, Haimin Zhang, Karan Uppal, Yaman Kumar, Rajiv Ratn Shah, Simra Shahid, Laiba Mehnaz, Sarthak Anand:
MIDAS at SemEval-2019 Task 6: Identifying Offensive Posts and Targeted Offense from Twitter. SemEval@NAACL-HLT 2019: 683-690 - [c5]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
MIDAS at SemEval-2019 Task 9: Suggestion Mining from Online Reviews using ULMFit. SemEval@NAACL-HLT 2019: 1213-1217 - [c4]Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, Rajiv Ratn Shah:
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. SMM4H@ACL 2019: 127-132 - [i8]Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal:
Identifying Offensive Posts and Targeted Offense from Twitter. CoRR abs/1904.09072 (2019) - [i7]Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal:
Suggestion Mining from Online Reviews using ULMFiT. CoRR abs/1904.09076 (2019) - [i6]Ozan Irsoy, Rakesh Gosangi, Haimin Zhang, Mu-Hsin Wei, Peter Lund, Duccio Pappadopulo, Brendan Fahy, Neophytos Nephytou, Camilo Ortiz:
Dialogue Act Classification in Group Chats with DAG-LSTMs. CoRR abs/1908.01821 (2019) - [i5]Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah:
Keyphrase Generation for Scientific Articles using GANs. CoRR abs/1909.12229 (2019) - [i4]Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann:
Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings. CoRR abs/1910.08840 (2019) - 2018
- [j1]Haimin Zhang, Min Xu:
Recognition of Emotions in User-Generated Videos With Kernelized Features. IEEE Trans. Multim. 20(10): 2824-2835 (2018) - [c3]Zhiyuan Shi, Min Xu, Quan Pan, Bing Yan, Haimin Zhang:
LSTM-based Flight Trajectory Prediction. IJCNN 2018: 1-8 - [i3]Haimin Zhang, Min Xu:
Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization. CoRR abs/1806.03902 (2018) - 2016
- [c2]Haimin Zhang, Min Xu:
Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos. ICIP 2016: 629-633 - [i2]Haimin Zhang, Min Xu, Changsheng Xu, Ramesh C. Jain:
Modelling Temporal Information Using Discrete Fourier Transform for Video Classification. CoRR abs/1603.06182 (2016) - [i1]Haimin Zhang, Min Xu:
Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos. CoRR abs/1603.06568 (2016) - 2010
- [c1]Aihua Wang, Haimin Zhang, Jihua Lu:
Modeling and Space-Time Correlation Analysis of MIMO Channel. DBTA 2010: 1-4
Coauthor Index
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last updated on 2024-11-07 21:35 CET by the dblp team
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