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A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization Conference paper
Xin, Guoqiang, Tan, Fei, Li, Junde, Chen, Junren, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. A 5T-SRAM Based Computing-in-Memory Macro Featuring Partial Sum Boosting and Analog Non-Uniform Quantization[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 882-887.
Authors:  Xin, Guoqiang;  Tan, Fei;  Li, Junde;  Chen, Junren;  Yu, Wei Han; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
5t-sram  Analog Non-uniform Quantization (Anuq)  Computing-in-memory (Clm)  Machine Learning (Ml)  Matrix-vector Multiplication (Mvm)  Partial Sum Boosting (Psb)  
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation Conference paper
Chen, Junyang, Zou, Guoxuan, Zhou, Pan, Yirui, Wu, Chen, Zhenghan, Su, Houcheng, Wang, Huan, Gong, Zhiguo. Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation[C], 2024, 8283-8291.
Authors:  Chen, Junyang;  Zou, Guoxuan;  Zhou, Pan;  Yirui, Wu;  Chen, Zhenghan; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2024/05/16
Dmkm: Graph Mining, Social Network Analysis & Community  Dmkm: Anomaly/outlier Detection  Dmkm: Recommender Systems  Ml: Deep Learning Algorithms  Ml: Deep Learning Theory  Ml: Graph-based Machine Learning  Ml: Semi-supervised Learning  Ml: Transparent, Interpretable, Explainable Ml  Ml: Unsupervised & Self-supervised Learning  
Fully Symmetrical Obfuscated Interconnection and Weak-PUF-Assisted Challenge Obfuscation Strong PUFs Against Machine-Learning Modeling Attacks Journal article
Xu, Chongyao, Zhang, Litao, Mak, Pui In, Martins, Rui P., Law, Man Kay. Fully Symmetrical Obfuscated Interconnection and Weak-PUF-Assisted Challenge Obfuscation Strong PUFs Against Machine-Learning Modeling Attacks[J]. IEEE Transactions on Information Forensics and Security, 2024, 19, 3927-3942.
Authors:  Xu, Chongyao;  Zhang, Litao;  Mak, Pui In;  Martins, Rui P.;  Law, Man Kay
Favorite | TC[WOS]:2 TC[Scopus]:4  IF:6.3/7.3 | Submit date：2024/05/16
Physical Unclonable Function (Puf)  Machine Learning (Ml)  Modeling Attack  Symmetrical Obfuscated Interconnection (Soi)  Challenge Obfuscation  Reverse Engineering (Re)  
QFormer: An Efficient Quaternion Transformer for Image Denoising Conference paper
Jiang, Bo, Lu, Yao, Lu, Guangming, Zhang, Bob. QFormer: An Efficient Quaternion Transformer for Image Denoising[C]:International Joint Conferences on Artificial Intelligence, 2024, 4237-4245.
Authors:  Jiang, Bo;  Lu, Yao;  Lu, Guangming;  Zhang, Bob
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Machine Learning  Ml  Knowledge-aided Learning  
Modeling Attack Resistant Strong PUF Exploiting Stagewise Obfuscated Interconnections With Improved Reliability Journal article
Xu, Chongyao, Zhang, Litao, Law, Man Kay, Zhao, Xiaojin, Mak, Pui In, Martins, Rui P.. Modeling Attack Resistant Strong PUF Exploiting Stagewise Obfuscated Interconnections With Improved Reliability[J]. IEEE Internet of Things Journal, 2023, 10(18), 16300 - 16315.
Authors:  Xu, Chongyao;  Zhang, Litao;  Law, Man Kay;  Zhao, Xiaojin;  Mak, Pui In; et al.
Favorite | TC[WOS]:10 TC[Scopus]:15  IF:8.2/9.0 | Submit date：2023/08/03
Field-programmable Gate Array (Fpga)  Machine Learning (Ml) Modeling Attack  Obfuscated Interconnection (Oi)  Physical Unclonable Function (Puf)  
Black-Box Data Poisoning Attacks on Crowdsourcing Conference paper
Chen, Pengpeng, Yang, Yongqiang, Yang, Dingqi, Sun, Hailong, Chen, Zhijun, Lin, Peng. Black-Box Data Poisoning Attacks on Crowdsourcing[C]. Edith Elkind:International Joint Conferences on Artificial Intelligence, 2023, 2975-2983.
Authors:  Chen, Pengpeng;  Yang, Yongqiang;  Yang, Dingqi;  Sun, Hailong;  Chen, Zhijun; et al.
Favorite | TC[Scopus]:1 | Submit date：2023/08/12
Humans And Ai: hAi: human-Ai Collaboration  Humans And Ai: hAi: Human Computation And Crowdsourcing  Machine Learning: Ml: Robustness  
Transfer-Path-Based Hardware-Reuse Strong PUF Achieving Modeling Attack Resilience With >200 Million Training CRPs Journal article
Xu, Chongyao, Zhang, Jieyun, Law, Man-Kay, Zhao, Xiaojin, Mak, Pui-In, Martins, Rui P.. Transfer-Path-Based Hardware-Reuse Strong PUF Achieving Modeling Attack Resilience With >200 Million Training CRPs[J]. IEEE Transactions on Information Forensics and Security, 2023, 18, 2188 - 2203.
Authors:  Xu, Chongyao;  Zhang, Jieyun;  Law, Man-Kay;  Zhao, Xiaojin;  Mak, Pui-In; et al.
Favorite | TC[WOS]:4 TC[Scopus]:6  IF:6.3/7.3 | Submit date：2023/03/29
Field-programmable Gate Array (Fpga)  Hardware Reuse  Machine Learning (Ml) Attack  Multiplier  Physical Unclonable Function (Puf)  Response Stream (Rs)  Transfer Path (Tp)  
Machine learning approaches for quality assessment of protein structures Review article
2020
Authors:  Chen, Jiarui;  Siu, Shirley W.I.
Favorite | TC[WOS]:17 TC[Scopus]:20  IF:4.8/5.4 | Submit date：2021/12/06
Casp  Deep Learning  Dl  Ema  Estimating Model Quality  Machine Learning  Ml  Model Quality Assessment  Mqa  Protein Structure Prediction  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
Vong, Chi Man, Chen, Chuangquan, Wong, Pak Kin. Empirical kernel map-based multilayer extreme learning machines for representation learning[J]. NEUROCOMPUTING, 2018, 310, 265-276.
Authors:  Vong, Chi Man;  Chen, Chuangquan;  Wong, Pak Kin
Favorite | TC[WOS]:25 TC[Scopus]:31  IF:5.5/5.5 | Submit date：2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning Journal article
Vong, C. M., Chen, C.Q., Wong, P. K.. Empirical Kernel Map-Based Multilayer Extreme Learning Machines for Representation Learning[J]. Neurocomputing (SCI-E), 2018, 265-276.
Authors:  Vong, C. M.;  Chen, C.Q.;  Wong, P. K.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
Kernel learning Multilayer extreme learning machine (ML-ELM)  Empirical kernel map (EKM)  Representation learning  stacked autoencoder (SAE)