Huangcao deep processing

Professor Huang, Chao Department of Computer Science, HKU

His research focuses on developing novel machine learning frameworks to tackle various challenges in Data Mining, Information Retrieval, SpatialTemporal Data Analytics, User Cheng, Reynold CK 鄭振剛 Professor Division Head (Department of Computer Academic StaffThe first group involves using GNNs to process graph data into structured tokens, providing a solid foundation for LLMs to subsequently infer linguistic and contextual nuances [5,50,51]The University of Hong Kong and other places ResearchGateAbnormal event detection using deep contrastive learning for intelligent video surveillance system‪Chao Huang（黄超）‬ ‪Google Scholar‬

‪Yukun Huang‬ ‪Google 学术‬

Deep fourierbased exposure correction network with spatialfrequency interaction2015年5月27日  Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction These Deep learning Nature‪Associate Professor, Tsinghua University‬ ‪‪Cited by 75,332‬‬ ‪Machine Learning‬ ‪Computer Vision‬ ‪Dynamic Neural Networks‬ ‪Efficient Deep Learning‬‪Gao Huang （黄高）‬ ‪Google Scholar‬2022年3月7日  We provide empirical evidence that the human brain and autoregressive DLMs share three fundamental computational principles as they process the same natural narrative: Shared computational principles for language processing in

Gao HUANG Professor (Associate) PhD ResearchGate

Gao Huang currently works at the Department of Automation, Tsinghua University His research interests include deep learning, computer vision and reinforcement learning [] Very deep2019年3月6日  We tested how communication patterns in 42 brain regions involved in episodic memory encoding changed as a function of processing depth, and how these changes were Elaboration Benefits Source Memory Encoding Through Centrality Our indepth evaluations on three source code processing tasks (ie, functionality classification, code clone detection, defect prediction) containing more than 3 million lines of code and the Towards Robustness of Deep Program Processing 2024年5月30日  Deep Processing vs Shallow Processing Whereas deep processing is elaborate, shallow processing is minimal 1 Deep Processing Deep processing, in essence, means fully understanding and analyzing information 17 Deep Processing Examples Helpful Professor

ChengChao Huang (黄承超)'s Homepage

Pengfei Yang, Jianlin Li (), Jiangchao Liu, ChengChao Huang, Renjue Li, Liqian Chen, Xiaowei Huang (), Lijun Zhang: Enhancing Robustness Verification for Deep Neural Networks via Symbolic Propagation In Formal Aspects Comput 33(3):407435, 2021 DOI BIBRead Chao Huang's latest research, browse their coauthor's research, and play around with their algorithmsChao Huang DeepAII received the PhD degree in Signal and Information Processing from Ningbo University, in June 2018 From Jan 2017 to Jun 2018, I visited the School of Computer Science and Engineering , Nanyang Feng Shao, Qiuping Jiang, "TSPR: Deep networkbased blind image quality assessment using twoside pseudo reference images ," Digital Qiuping Jiang@Ningbo UniversityQARC: Video quality aware rate control for realtime video streaming based on deep reinforcement learning T Huang, RX Zhang, C Zhou, L Sun Proceedings of the 26th ACM international conference on Multimedia, 12081216, 2018 125: 2020 IEEE International Conference on Image Processing (ICIP), 12311235, 2020 13: 2020:‪Tianchi Huang‬ ‪Google Scholar‬

‪Hongyang Chao‬ ‪Google Scholar‬

‪Professor of school of software, Sun Yatsen University‬ ‪‪Cited by 6,054‬‬ ‪Image processing‬ A novel deep learningbased method of improving coding efficiency from the decoderend for HEVC T Wang, M Chen, H Chao 2017 data compression conference (DCC), 410419, 2017 197:IEEE Signal Processing Letters 2022 Journal article DOI: 101109/LSP2022 Source: checkcircle Crossref SelfSupervisionAugmented Deep Autoencoder for Unsupervised Visual Anomaly Detection IEEE Transactions on Cybernetics 202212 Journal article DOI: 101109/TCYB2021 Huang Chao (0000000314902171) ORCID2022年10月8日  LightRAG: Simple and Fast RetrievalAugmented Generation 1 code implementation • 8 Oct 2024 • Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao HuangChao Huang Papers With CodeAssistant Professor at University of Hong Kong (HKU); Director of Data Intelligence Lab at HKU 工作经历: The University of Hong Kong 教育经历: University of Notre Dame 地点: 香港特别行政区 500 多位领英好友。在领英 (一个拥有 10 亿会员的职业社区) 查看Chao Huang的职业档案。Chao Huang Assistant Professor The University of Hong Kong

Zhenxing Huang Pages

2021 Learning a deep cnn denoising approach using anatomical prior information implemented with attention mechanism for lowdose CT imaging on clinical patient data from multiple anatomical sites [] [] Zhenxing Huang#, Xinfeng Liu#, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu* IEEE Journal of Biomedical and Health In particular, he is actively working on efficient deep learning, dynamic neural networks, learning with limited data and reinforcement learning His work on DenseNet won the Best Paper Award of CVPR (2017) Neural Information Gao Huang HomepageHKUIDS Scholar Google Home Professor Chao HUANG Assistant Professor HKU Musketeers Foundation Institute of Data Science andDepartment of Computer Science, School of Computing and Data Science, HKU (852) 2559 8447 CB318, Composite Building, HKU Department of Computer Science Key expertise Machine Learning, Deep Learning, Data Chao HUANG HKU Musketeers Foundation Institute of Data Owl: A Preand Postprocessing Framework for Video Analytics in Lowlight Surroundings RuiXiao Zhang, Chaoyang Li, Chenglei Wu, Tianchi Huang, Lifeng Sun Deep Reinforced Bitrate Ladders for Adaptive Video Streaming Tianchi Huang, Rui Media Lab Publications

Chao Huang arXiv

With the advent of deep learning in various domains (eg, computer vision, nature language processing), neural network techniques have been utilized to enhance the collaborative filtering paradigm with nonlinear feature interactions To be specific, NCF [He et al, 2017] and DMF Xue et al, 2017] leverage multilayer perceptron to endow [5]Chao Huang, Zehua Yang, Jie Wen, Yong Xu*, Qiuping Jiang, Jian Yang, Yaowei Wang, SelfSupervisionAugmented Deep Autoencoder for Unsupervised Visual Anomaly Detection, IEEE Transactions on Cybernetics, 2022, 52(12): 1383413847 (中科院一区, IF: 19118)中山大学网络空间安全学院 Sun Yatsen UniversityJustlookup: One Millisecond Deep Feature Extraction for Point Clouds By Lookup Tables CoRR abs/190808996 (2019) [i13] view electronic edition @ arxiv (open access) A versatile sparse representation based postprocessing method for improving image superresolution Neurocomputing 205: 287300 (2016) [j8] view electronic edition via DOI;dblp: Hongyang ChaoIntegrated lithium niobate microwave photonic processing engine Hanke Feng, Tong Ge, Xiaoqing Guo, Benshan Wang, Yiwen Zhang, Zhaoxi Chen, Sha Zhu, Ke Zhang, Wenzhao Sun, Chaoran Huang, Yixuan Yuan, Cheng Wang Nature, 627, 8002, 2024; Fourwave mixing based spectral Talbot amplifier for programmable purification of optical frequency combsChaoran Huang Chinese University of Hong Kong

‪ChengChao Huang‬ ‪Google Scholar‬

Incremental Satisfiability Modulo Theory for Verification of Deep Neural Networks P Yang, Z Chi, Z Liu, M Zhao, CC Huang, S Cai, L Zhang arXiv preprint arXiv:230206455, 2023 4: 2023: Ensemble defense with data diversity: Weak correlation implies strong robustness Neural Information Processing: Committees/Professional Services Session Organizers of “Decision Making and Control of Autonomous Vehicles” of 2021 5th CAA International Conference on Vehicular Control and Intelligent (CVCI 2021) Oct 2931, 2021, Tianjin; Session Organizers of “HumanMachine Systems for Automated Driving” of 2020 International conference on advanced Robotics and Dr Chao Huang 黄超 Department of Industrial and Systems EngineeringChaoTsung HUANG Cited by 1,346 of National Tsing Hua University, Hsinchu (NTHU) Read 71 publications Contact ChaoTsung HUANGChaoTsung HUANG National Tsing Hua University, HsinchuHenHsen Huang, HsinHsi Chen, "Pause and Stop Labeling for Chinese Sentence Boundary Detection," Recent Advances on Natural Language Processing, pages 146–153, September 2011 151 HenHsen Huang, ChuenTsai Sun, HsinHsi Chen, "Huang, HenHsen Homepage Sinica

Data Intelligence Lab@HKU Google Sites

I am an Assistant Professor at the Department of Computer Science and Musketeers Foundation Institute of Data Science, at the University of Hong Kong (HKU) I am the director of Data Intelligence Lab@HKU, with the focus on Large Language Models, Language Agents, Graph Learning, Recommender Systems and SpatioTemporal Data Mining and Prior to that, I Toward safe and smart mobility: Energyaware deep learning for driving behavior analysis and prediction of connected vehicles Y Xing, C Lv, X Mo, Z Hu, C Huang, P Hang IEEE Transactions on Intelligent Transportation Systems 22 (7), 42674280, 2021 69: 2021:‪Huang Chao (黄超)‬ ‪Google Scholar‬Chao Huang received the PhD degree from the University of Notre Dame, Notre Dame, IN, USA, in 2019 He is a tenuretrack Assistant Professor with the Department of Computer Science and the Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong His work has Chao Huang IEEE Xplore Author DetailsQoSpro: A QoSenhanced Transaction Processing Framework for Shared SSDs ACM Trans Archit Code Optim 21 (1): 6:16:25 (2024) [j9] view electronic edition via DOI; MultiAgent Deep Reinforcement Learning Based Scheduling Approach for Mobile Charging in Internet of Electric Vehicles IEEE Trans Mob Comput 23 (10): 1013010145 (2024) [j7]Zhuo Huang dblp

Huangzhao ZHANG PhD Student Bachelor of Science

Deep learning (DL) has recently been widely applied to diverse source code processing tasks in the software engineering (SE) community, which achieves competitive performance ( eg , accuracy)"DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation"; JiaHong Huang, CH Huck Yang, Fangyu Liu, Meng Tian, YiChieh Liu, TingWei Wu, IHung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, and Marcel Worring; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision GitHub Jhhuangkay/DeepOphtMedicalReportGenerationfor 2015年9月1日  This paper studied the behavior of all the layers of the Convolutional Neural Networks, the approach outperforms the state of the art by a huge margin in the weather classification task, and interesting findings are discussed In this paper, we study weather classification from images using Convolutional Neural Networks (CNNs) Our approach Weather classification with deep convolutional neural networksBiography Chaoyan Huang is a PhD candidate of Department of Mathematics, The Chinese University of Hong Kong (CUHK), advised by Prof Tieyong ZengShe received the MS from the school of science, Nanjing University of Posts and Telecommunications (NUPT), in 2022, advised by Professor Tingting WuHer research interests include artificial intelligence and its Chaoyan Huang

Modern deep learning in bioinformatics PubMed

2020年10月30日  Affiliations 1 Cancer Systems Biology Center, The ChinaJapan Union Hospital, Jilin University, Changchun , China; 2 MOE Key Laboratory of Symbolic Computation and Knowledge Engineering, College of Computer Science and Technology, Jilin University, Changchun , China; 3 Department of Biology, Southern University of RADAR: A SkewResistant and HotnessAware Ordered Index Design for ProcessinginMemory Systems IEEE Trans Parallel Distributed Syst 35 (9): 15981614 (2024) [c131] view electronic edition via DOI; Deep Semantic Correlation Learning Based Hashing for Multimedia CrossModal Retrieval ICDM 2018: 117126 [c94] view electronic edition via Linpeng Huang dblpChao HUANG Cited by 1,916 of The Hong Kong Polytechnic University, Hong Kong (PolyU) Read 128 publications Contact Chao HUANGChao HUANG The Hong Kong Polytechnic University, 2024年6月7日  List of computer science publications by Hongyu Huang ORCID ID conflict found in this bibliography 0000000190524868; 0000000156836497dblp: Hongyu Huang

QualityNet: Segmentation quality evaluation with deep

This paper proposes a deep convolutional network for quality evaluation of object segmentation In this work, we first present two largescale datasets for object quality evaluation The segmentation results of the proposed datasets are generated from simple and complex segmentation datasets respectively Then, we propose three types of deep convolutional 2024年1月31日  DeepLearningEnabled HighFidelity Absorbance Spectra from Distorted DualComb Absorption Spectroscopy for Gas Quantification Analysis Paper presented at: 28th Annual Conference on Neural Information Processing Systems (NIPS 2014) Montreal, Canada; 8–13 December 2014DeepLearningEnabled HighFidelity Absorbance Spectra from I develop data science and machine learning models to assist with task solving and decisionmaking My research focuses on rapidly developing AI systems that are more dataefficient, trustworthy, and customized for specific domains Currently, I am working on the following themes: DataEfficient AI – Adapting Large Language Models for target domains by Chao ZhangAbout me I am a tenuretrack assistant professor at the School of Computing, Montclair State University I received my PhD from the Chinese University of Hong Kong, Hong Kong in 2021, supervised by Prof Jianwei Huang I was a postdoctoral researcher at the University of California, Davis, from Dec 2021 Jun 2024, advised by Prof Xin Liu Research InterestsChao Huang's Homepage

YuanHao HUANG Professor (Full) ResearchGate

YuanHao HUANG, Professor (Full) Cited by 1,017 of National Tsing Hua University, Hsinchu (NTHU) Read 114 publications Contact YuanHao HUANGChao Huang Research professorOffice ：Ocean building 405Tel：: epage：Mailing Address：School of Ocean and Earth Science, Tongji University, 1239 Siping Road, Shanghai , China1 Education：200209200606: School of Ocean and Earth Sciences, Tongji University, China Geophysics, Bachelor200609200903: HUANG Chao Tongji UniversityIEEE Transactions on Image Processing 2024 Journal article DOI: 101109/TIP2024 Contributors Deep Siamese Networks Based Change Detection with Remote Sensing Images Remote Sensing Journal article DOI: 103390/rs Contributors Gao Huang (0000000272510988) ORCID

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