Kezhi Mao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 82

Top Venues

Publications

Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao
Unveiling and Manipulating Prompt Influence in Large Language Models. CoRR (2024)
Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao
MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. CoRR (2024)
Haozhi Cao, Yuecong Xu, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang
Self-Supervised Video Representation Learning by Video Incoherence Detection. IEEE Trans. Cybern. 54 (6) (2024)
Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang
Aligning Correlation Information for Domain Adaptation in Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen
Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. 5 (6) (2024)
Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. CoRR (2024)
Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. ACL (1) (2024)
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
PromptExplainer: Explaining Language Models through Prompt-based Learning. EACL (Findings) (2024)
Siyuan Chen, Kezhi Mao
Explicit and implicit knowledge-enhanced model for event causality identification. Expert Syst. Appl. 238 (Part C) (2024)
Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. ICRA (2024)
Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. CoRR (2024)
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. CoRR (2024)
Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. ACL (1) (2024)
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao
Unveiling and Manipulating Prompt Influence in Large Language Models. ICLR (2024)
Zijian Feng, Kezhi Mao, Hanzhang Zhou
Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. Expert Syst. Appl. 248 (2024)
Siyuan Chen, Kezhi Mao
A graph attention network utilizing multi-granular information for emotion-cause pair extraction. Neurocomputing 543 (2023)
Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency. CoRR (2023)
Hanzhang Zhou, Zijian Feng, Kezhi Mao
Closed Boundary Learning for Classification Tasks with the Universum Class. EMNLP (Findings) (2023)
Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR (2023)
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR (2023)
Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng
Feature-aware conditional GAN for category text generation. CoRR (2023)
Zixiao Zhu, Kezhi Mao
Knowledge-based BERT word embedding fine-tuning for emotion recognition. Neurocomputing 552 (2023)
Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress. CoRR (2023)
Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng
Feature-aware conditional GAN for category text generation. Neurocomputing 547 (2023)
Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao
Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. CoRR (2023)
Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang
Particle swarm optimization with state-based adaptive velocity limit strategy. CoRR (2023)
Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI (2023)
Hanzhang Zhou, Kezhi Mao
Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. NAACL-HLT (2022)
Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
Tailored text augmentation for sentiment analysis. Expert Syst. Appl. 205 (2022)
Qi Li, Kezhi Mao, Pengfei Li, Yuecong Xu, Edmond Yat-Man Lo
A novel end-to-end neural network for simultaneous filtering of task-unrelated named entities and fine-grained typing of task-related named entities. Expert Syst. Appl. 204 (2022)
Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. ACM Multimedia (2022)
Wanying Song, Yu Du, Yan Wu, Peng Zhang, Kezhi Mao
RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao
A Comparative Study on Machine Learning algorithms for Knowledge Discovery. ICARCV (2022)
Xiyu Wang, Yuecong Xu, Kezhi Mao, Jianfei Yang
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. CoRR (2022)
Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang
Particle swarm optimization with state-based adaptive velocity limit strategy. Neurocomputing 447 (2021)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See
Self-Supervised Video Representation Learning by Video Incoherence Detection. CoRR (2021)
Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See
ACT: an Attentive Convolutional Transformer for Efficient Text Classification. AAAI (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. ICCV (2021)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Effective action recognition with embedded key point shifts. Pattern Recognit. 120 (2021)
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Exploiting inter-frame regional correlation for efficient action recognition. Expert Syst. Appl. 178 (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
Aligning Correlation Information for Domain Adaptation in Action Recognition. CoRR (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Qi Li, Kezhi Mao, Zhenghua Chen
Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. CoRR (2021)
Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. Neurocomputing 447 (2021)
Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
ARID: A New Dataset for Recognizing Action in the Dark. CoRR (2020)
Qi Li, Pengfei Li, Kezhi Mao, Edmond Yat-Man Lo
Improving convolutional neural network for text classification by recursive data pruning. Neurocomputing 414 (2020)
Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Effective Action Recognition with Embedded Key Point Shifts. CoRR (2020)
Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition. CoRR (2020)
Pengfei Li, Kezhi Mao, Yuecong Xu, Qi Li, Jiaheng Zhang
Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base. Knowl. Based Syst. 193 (2020)
Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao
Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. IJCNN (2020)
Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition. CoRR (2020)
Dongzhe Wang, Kezhi Mao
Task-generic semantic convolutional neural network for web text-aided image classification. Neurocomputing 329 (2019)
Yuecong Xu, Jianfei Yang, Kezhi Mao
Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature. Neurocomputing 357 (2019)
Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
Improving Relation Extraction with Knowledge-attention. EMNLP/IJCNLP (1) (2019)
Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
Improving Relation Extraction with Knowledge-attention. CoRR (2019)
Pengfei Li, Kezhi Mao
Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts. Expert Syst. Appl. 115 (2019)
Dongzhe Wang, Kezhi Mao
Learning Semantic Text Features for Web Text-Aided Image Classification. IEEE Trans. Multim. 21 (12) (2019)
Zuobin Wu, Kezhi Mao, Gee Wah Ng
Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis. Neurocomputing 335 (2019)
Zuobin Wu, Kezhi Mao, Gee Wah Ng
Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut. FUSION (2018)
Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao, Hossein Nejati
Hough Transform Implementation For Event-Based Systems: Concepts and Challenges. Frontiers Comput. Neurosci. 12 (2018)
Rui Zhao, Kezhi Mao
Fuzzy Bag-of-Words Model for Document Representation. IEEE Trans. Fuzzy Syst. 26 (2) (2018)
Dongzhe Wang, Kezhi Mao
Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks. DSC (2018)
Rui Zhao, Dongzhe Wang, Ruqiang Yan, Kezhi Mao, Fei Shen, Jinjiang Wang
Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks. IEEE Trans. Ind. Electron. 65 (2) (2018)
Zuobin Wu, Kezhi Mao, Gee Wah Ng
Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis. FUSION (2017)
Xuefeng Yang, Kezhi Mao
Task Independent Fine Tuning for Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 25 (4) (2017)
Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao
Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks. Sensors 17 (2) (2017)
Rui Zhao, Kezhi Mao
Topic-Aware Deep Compositional Models for Sentence Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25 (2) (2017)
Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao
Building Occupancy Estimation with Environmental Sensors via CDBLSTM. IEEE Trans. Ind. Electron. 64 (12) (2017)
Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao
Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection. ICAIP (2017)
Rui Zhao, Kezhi Mao
Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder. IEEE Trans. Affect. Comput. 8 (3) (2017)
Dongzhe Wang, Kezhi Mao, Gee Wah Ng
Convolutional neural networks and multimodal fusion for text aided image classification. FUSION (2017)
Rui Zhao, Anna Zhou, Kezhi Mao
Automatic detection of cyberbullying on social networks based on bullying features. ICDCN (2016)
Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao
Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. BMVC (2016)
Xuefeng Yang, Kezhi Mao
Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge. Expert Syst. Appl. 56 (2016)
Jinjiang Wang, Junyao Xie, Rui Zhao, Kezhi Mao, Laibin Zhang
A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring. IEEE Trans. Instrum. Meas. 65 (11) (2016)
Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao
Deep Learning and Its Applications to Machine Health Monitoring: A Survey. CoRR (2016)
Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng
Constructing Bayesian networks by harvesting knowledge from online resources. FUSION (2016)
Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham
Adaptive multimodal fusion with web resources for scene classification. FUSION (2016)
Xuefeng Yang, Kezhi Mao, Rui Zhao
Regularized training of compositional distributional semantic models. ICICS (2015)
Dongzhe Wang, Kezhi Mao, Gee Wah Ng
Improving scene classification by fusion of training data and web resources. FUSION (2015)
Rui Zhao, Kezhi Mao
Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space. IEEE Comput. Intell. Mag. 10 (3) (2015)
Xuefeng Yang, Kezhi Mao, Rui Zhao
Distributional sentence representation by expert knowledge for causal relation identification. ICICS (2015)
Xuefeng Yang, Kezhi Mao
Supervised Fine Tuning for Word Embedding with Integrated Knowledge. CoRR (2015)
Rui Zhao, Kezhi Mao
Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification. ICDM Workshops (2014)
Xuefeng Yang, Kezhi Mao
Multi level causal relation identification using extended features. Expert Syst. Appl. 41 (16) (2014)
Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
Extreme Learning Machines. IEEE Intell. Syst. 28 (6) (2013)
Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao
Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. 24 (3) (2013)
Wing Yee Sit, Kezhi Mao
Cognitively inspired classification for adapting to data distribution changes. EAIS (2012)
Wing Yee Sit, Kezhi Mao
A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. FUSION (2012)
Kezhi Mao, Wenyin Tang
Recursive Mahalanobis Separability Measure for Gene Subset Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (1) (2011)
Weitao Li, Kezhi Mao, Tianyou Chai, Hong Zhang, Hong Wang
Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln. CDC/ECC (2011)
Feng Yang, Kezhi Mao
Robust Feature Selection for Microarray Data Based on Multicriterion Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (4) (2011)
Lee Onn Mak, Gee Wah Ng, Godfrey Lim, Kezhi Mao
A merging Fuzzy ART clustering algorithm for overlapping data. FOCI (2011)
Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai
Designing compact Gabor filter banks for efficient texture feature extraction. ICARCV (2010)
Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai
Selection of Gabor filters for improved texture feature extraction. ICIP (2010)
Weitao Li, Kezhi Mao, Xiaojie Zhou, Tianyou Chai, Hong Zhang
Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln. CDC (2009)
Kezhi Mao, Wenyin Tang
Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection. PRIB (2007)
Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan
Can threshold networks be trained directly? IEEE Trans. Circuits Syst. II Express Briefs (3) (2006)
Xin Zhou, Kezhi Mao
Gene Selection of DNA Microarray Data Based on Regularization Networks. IDEAL (2005)
Wenyin Tang, Kezhi Mao
Feature Selection Algorithm for Data with Both Nominal and Continuous Features. PAKDD (2005)
Kezhi Mao
Orthogonal forward selection and backward elimination algorithms for feature subset selection. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)

Kezhi Mao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kezhi Mao