Kezhi Mao - RankMe

111 papers A* 8A 1B 3C 12Misc 1Journal 68Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-Grained Activation Steering: Steering Less, Achieving More. CoRR Zijian Feng, Tianjiao Li, Zixiao Zhu, Hanzhang Zhou, Junlang Qian, Li Zhang, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao
2026	—	`conf`	Rethinking Prompt Optimizers: From Prompt Merits to Optimization. EACL (Volume 1: Long Papers) Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Tianjiao Li, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao
2025	—	`conf`	Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. NAACL (Long Papers) Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai, Kezhi Mao
2025	J	`jnl`	Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. CoRR Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai, Kezhi Mao
2025	J	`jnl`	Domain Lexical Knowledge-based Word Embedding Learning for Text Classification under Small Data. CoRR Zixiao Zhu, Kezhi Mao
2025	—	`conf`	Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. NAACL (Long Papers) Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao
2025	J	`jnl`	Restoring Pruned Large Language Models via Lost Component Compensation. CoRR Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Tianjiao Li, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao
2025	J	`jnl`	Rethinking Prompt Optimizers: From Prompt Merits to Optimization. CoRR Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Tianjiao Li, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao
2024	J	`jnl`	Adaptive micro- and macro-knowledge incorporation for hierarchical text classification. Expert Syst. Appl. Zijian Feng, Kezhi Mao, Hanzhang Zhou
2024	J	`jnl`	Aligning Correlation Information for Domain Adaptation in Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Yuecong Xu, Haozhi Cao, Kezhi Mao, Zhenghua Chen, Lihua Xie, Jianfei Yang
2024	—	`conf`	EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. NAACL-HLT (Findings) Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao
2024	J	`jnl`	Explicit and implicit knowledge-enhanced model for event causality identification. Expert Syst. Appl. Siyuan Chen, Kezhi Mao
2024	—	`conf`	FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. ACL (1) Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu
2024	J	`jnl`	FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. CoRR Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
2024	A*	`conf`	GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. ICRA Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao
2024	J	`jnl`	GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. CoRR Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao
2024	—	`conf`	LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. ACL (1) Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao
2024	J	`jnl`	MICL: Improving In-Context Learning through Multiple-Label Words in Demonstration. CoRR Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao
2024	—	`conf`	PromptExplainer: Explaining Language Models through Prompt-based Learning. EACL (Findings) Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
2024	A*	`conf`	Reinforced Cross-Domain Knowledge Distillation on Time Series Data. NeurIPS Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2024	J	`jnl`	Reinforced Knowledge Distillation for Time Series Regression. IEEE Trans. Artif. Intell. Qing Xu, Keyu Wu, Min Wu, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2024	J	`jnl`	Self-Supervised Video Representation Learning by Video Incoherence Detection. IEEE Trans. Cybern. Haozhi Cao, Yuecong Xu, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See, Qianwen Xu, Jianfei Yang
2024	A*	`conf`	UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. NeurIPS Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao
2024	J	`jnl`	UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation. CoRR Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao
2024	A*	`conf`	Unveiling and Manipulating Prompt Influence in Large Language Models. ICLR Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao
2024	J	`jnl`	Unveiling and Manipulating Prompt Influence in Large Language Models. CoRR Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao
2023	J	`jnl`	A graph attention network utilizing multi-granular information for emotion-cause pair extraction. Neurocomputing Siyuan Chen, Kezhi Mao
2023	J	`jnl`	Artificial-Intelligence-Based Hybrid Extended Phase Shift Modulation for the Dual Active Bridge Converter with Full ZVS Range and Optimal Efficiency. CoRR Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
2023	J	`jnl`	Artificial-Intelligence-Based Triple Phase Shift Modulation for Dual Active Bridge Converter with Minimized Current Stress. CoRR Xinze Li, Xin Zhang, Fanfan Lin, Changjiang Sun, Kezhi Mao
2023	—	`conf`	Closed Boundary Learning for Classification Tasks with the Universum Class. EMNLP (Findings) Hanzhang Zhou, Zijian Feng, Kezhi Mao
2023	J	`jnl`	Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen
2023	A*	`conf`	Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023	J	`jnl`	Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
2023	J	`jnl`	Feature-aware conditional GAN for category text generation. CoRR Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng
2023	J	`jnl`	Feature-aware conditional GAN for category text generation. Neurocomputing Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng
2023	J	`jnl`	Heuristics-Driven Link-of-Analogy Prompting: Enhancing Large Language Models for Document-Level Event Argument Extraction. CoRR Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao
2023	J	`jnl`	Knowledge-based BERT word embedding fine-tuning for emotion recognition. Neurocomputing Zixiao Zhu, Kezhi Mao
2023	J	`jnl`	Particle swarm optimization with state-based adaptive velocity limit strategy. CoRR Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang
2022	C	`conf`	A Comparative Study on Machine Learning algorithms for Knowledge Discovery. ICARCV Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao
2022	J	`jnl`	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. Qi Li, Kezhi Mao, Pengfei Li, Yuecong Xu, Edmond Yat-Man Lo
2022	A*	`conf`	Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. ACM Multimedia Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao
2022	J	`jnl`	Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation. CoRR Xiyu Wang, Yuecong Xu, Kezhi Mao, Jianfei Yang
2022	—	`conf`	Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. NAACL-HLT Hanzhang Zhou, Kezhi Mao
2022	J	`jnl`	RF-HoDRF: High-Order Hybrid Discriminative Random Field Improved by Two-Layer Random Forest for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. Wanying Song, Yu Du, Yan Wu, Peng Zhang, Kezhi Mao
2022	J	`jnl`	Tailored text augmentation for sentiment analysis. Expert Syst. Appl. Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao
2021	A*	`conf`	ACT: an Attentive Convolutional Transformer for Efficient Text Classification. AAAI Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See
2021	J	`jnl`	Aligning Correlation Information for Domain Adaptation in Action Recognition. CoRR Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
2021	J	`jnl`	Effective action recognition with embedded key point shifts. Pattern Recognit. Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2021	J	`jnl`	Exploiting inter-frame regional correlation for efficient action recognition. Expert Syst. Appl. Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2021	J	`jnl`	PNL: Efficient long-range dependencies extraction with pyramid non-local module for action recognition. Neurocomputing Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2021	A*	`conf`	Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. ICCV Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao
2021	J	`jnl`	Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. CoRR Yuecong Xu, Jianfei Yang, Haozhi Cao, Qi Li, Kezhi Mao, Zhenghua Chen
2021	J	`jnl`	Particle swarm optimization with state-based adaptive velocity limit strategy. Neurocomputing Xinze Li, Kezhi Mao, Fanfan Lin, Xin Zhang
2021	J	`jnl`	Self-Supervised Video Representation Learning by Video Incoherence Detection. CoRR Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Lihua Xie, Jianxiong Yin, Simon See
2020	J	`jnl`	ARID: A New Dataset for Recognizing Action in the Dark. CoRR Yuecong Xu, Jianfei Yang, Haozhi Cao, Kezhi Mao, Jianxiong Yin, Simon See
2020	J	`jnl`	Bag-of-Concepts representation for document classification based on automatic knowledge acquisition from probabilistic knowledge base. Knowl. Based Syst. Pengfei Li, Kezhi Mao, Yuecong Xu, Qi Li, Jiaheng Zhang
2020	B	`conf`	Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. IJCNN Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao
2020	J	`jnl`	Effective Action Recognition with Embedded Key Point Shifts. CoRR Haozhi Cao, Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2020	J	`jnl`	Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition. CoRR Yuecong Xu, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2020	J	`jnl`	Improving convolutional neural network for text classification by recursive data pruning. Neurocomputing Qi Li, Pengfei Li, Kezhi Mao, Edmond Yat-Man Lo
2020	J	`jnl`	PNL: Efficient Long-Range Dependencies Extraction with Pyramid Non-Local Module for Action Recognition. CoRR Yuecong Xu, Haozhi Cao, Jianfei Yang, Kezhi Mao, Jianxiong Yin, Simon See
2019	J	`jnl`	Enhanced feature fusion through irrelevant redundancy elimination in intra-class and extra-class discriminative correlation analysis. Neurocomputing Zuobin Wu, Kezhi Mao, Gee Wah Ng
2019	—	`conf`	Improving Relation Extraction with Knowledge-attention. EMNLP/IJCNLP (1) Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
2019	J	`jnl`	Improving Relation Extraction with Knowledge-attention. CoRR Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li
2019	J	`jnl`	Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts. Expert Syst. Appl. Pengfei Li, Kezhi Mao
2019	J	`jnl`	Learning Semantic Text Features for Web Text-Aided Image Classification. IEEE Trans. Multim. Dongzhe Wang, Kezhi Mao
2019	J	`jnl`	Semantic-filtered Soft-Split-Aware video captioning with audio-augmented feature. Neurocomputing Yuecong Xu, Jianfei Yang, Kezhi Mao
2019	J	`jnl`	Task-generic semantic convolutional neural network for web text-aided image classification. Neurocomputing Dongzhe Wang, Kezhi Mao
2018	C	`conf`	Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut. FUSION Zuobin Wu, Kezhi Mao, Gee Wah Ng
2018	J	`jnl`	Fuzzy Bag-of-Words Model for Document Representation. IEEE Trans. Fuzzy Syst. Rui Zhao, Kezhi Mao
2018	J	`jnl`	Hough Transform Implementation For Event-Based Systems: Concepts and Challenges. Frontiers Comput. Neurosci. Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao, Hossein Nejati
2018	J	`jnl`	Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks. IEEE Trans. Ind. Electron. Rui Zhao, Dongzhe Wang, Ruqiang Yan, Kezhi Mao, Fei Shen, Jinjiang Wang
2018	—	`conf`	Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks. DSC Dongzhe Wang, Kezhi Mao
2017	J	`jnl`	Building Occupancy Estimation with Environmental Sensors via CDBLSTM. IEEE Trans. Ind. Electron. Zhenghua Chen, Rui Zhao, Qingchang Zhu, Mustafa K. Masood, Yeng Chai Soh, Kezhi Mao
2017	C	`conf`	Convolutional neural networks and multimodal fusion for text aided image classification. FUSION Dongzhe Wang, Kezhi Mao, Gee Wah Ng
2017	J	`jnl`	Cyberbullying Detection Based on Semantic-Enhanced Marginalized Denoising Auto-Encoder. IEEE Trans. Affect. Comput. Rui Zhao, Kezhi Mao
2017	—	`conf`	Effect of Inhibitory Window on Event-Based Hough Transform for Multiple Lines Detection. ICAIP Sajjad Seifozzakerini, Wei-Yun Yau, Kezhi Mao
2017	C	`conf`	Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis. FUSION Zuobin Wu, Kezhi Mao, Gee Wah Ng
2017	J	`jnl`	Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks. Sensors Rui Zhao, Ruqiang Yan, Jinjiang Wang, Kezhi Mao
2017	J	`jnl`	Task Independent Fine Tuning for Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. Xuefeng Yang, Kezhi Mao
2017	J	`jnl`	Topic-Aware Deep Compositional Models for Sentence Classification. IEEE ACM Trans. Audio Speech Lang. Process. Rui Zhao, Kezhi Mao
2016	J	`jnl`	A New Probabilistic Kernel Factor Analysis for Multisensory Data Fusion: Application to Tool Condition Monitoring. IEEE Trans. Instrum. Meas. Jinjiang Wang, Junyao Xie, Rui Zhao, Kezhi Mao, Laibin Zhang
2016	C	`conf`	Adaptive multimodal fusion with web resources for scene classification. FUSION Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham
2016	Misc	`conf`	Automatic detection of cyberbullying on social networks based on bullying features. ICDCN Rui Zhao, Anna Zhou, Kezhi Mao
2016	C	`conf`	Constructing Bayesian networks by harvesting knowledge from online resources. FUSION Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng
2016	J	`jnl`	Deep Learning and Its Applications to Machine Health Monitoring: A Survey. CoRR Rui Zhao, Ruqiang Yan, Zhenghua Chen, Kezhi Mao, Peng Wang, Robert X. Gao
2016	A	`conf`	Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. BMVC Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao
2016	J	`jnl`	Learning multi-prototype word embedding from single-prototype word embedding with integrated knowledge. Expert Syst. Appl. Xuefeng Yang, Kezhi Mao
2015	C	`conf`	Distributional sentence representation by expert knowledge for causal relation identification. ICICS Xuefeng Yang, Kezhi Mao, Rui Zhao
2015	C	`conf`	Improving scene classification by fusion of training data and web resources. FUSION Dongzhe Wang, Kezhi Mao, Gee Wah Ng
2015	C	`conf`	Regularized training of compositional distributional semantic models. ICICS Xuefeng Yang, Kezhi Mao, Rui Zhao
2015	J	`jnl`	Semi-Random Projection for Dimensionality Reduction and Extreme Learning Machine in High-Dimensional Space. IEEE Comput. Intell. Mag. Rui Zhao, Kezhi Mao
2015	J	`jnl`	Supervised Fine Tuning for Word Embedding with Integrated Knowledge. CoRR Xuefeng Yang, Kezhi Mao
2014	J	`jnl`	Multi level causal relation identification using extended features. Expert Syst. Appl. Xuefeng Yang, Kezhi Mao
2014	—	`conf`	Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification. ICDM Workshops Rui Zhao, Kezhi Mao
2013	J	`jnl`	Extreme Learning Machines. IEEE Intell. Syst. 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
2013	J	`jnl`	Model-Based Online Learning With Kernels. IEEE Trans. Neural Networks Learn. Syst. Guoqi Li, Changyun Wen, Zhengguo Li, Aimin Zhang, Feng Yang, Kezhi Mao
2012	C	`conf`	A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. FUSION Wing Yee Sit, Kezhi Mao
2012	—	`conf`	Cognitively inspired classification for adapting to data distribution changes. EAIS Wing Yee Sit, Kezhi Mao
2011	—	`conf`	A merging Fuzzy ART clustering algorithm for overlapping data. FOCI Lee Onn Mak, Gee Wah Ng, Godfrey Lim, Kezhi Mao
2011	—	`conf`	Gabor filter and eigen-flame image-based burning state recognition for sintering process of rotary kiln. CDC/ECC Weitao Li, Kezhi Mao, Tianyou Chai, Hong Zhang, Hong Wang
2011	J	`jnl`	Recursive Mahalanobis Separability Measure for Gene Subset Selection. IEEE ACM Trans. Comput. Biol. Bioinform. Kezhi Mao, Wenyin Tang
2011	J	`jnl`	Robust Feature Selection for Microarray Data Based on Multicriterion Fusion. IEEE ACM Trans. Comput. Biol. Bioinform. Feng Yang, Kezhi Mao
2010	C	`conf`	Designing compact Gabor filter banks for efficient texture feature extraction. ICARCV Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai
2010	B	`conf`	Selection of Gabor filters for improved texture feature extraction. ICIP Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai
2009	—	`conf`	Eigen-flame image-based robust recognition of burning states for sintering process control of rotary kiln. CDC Weitao Li, Kezhi Mao, Xiaojie Zhou, Tianyou Chai, Hong Zhang
2007	—	`conf`	Correlation-Based Relevancy and Redundancy Measures for Efficient Gene Selection. PRIB Kezhi Mao, Wenyin Tang
2006	J	`jnl`	Can threshold networks be trained directly? IEEE Trans. Circuits Syst. II Express Briefs Guang-Bin Huang, Qin-Yu Zhu, Kezhi Mao, Chee Kheong Siew, Paramasivan Saratchandran, Narasimhan Sundararajan
2005	B	`conf`	Feature Selection Algorithm for Data with Both Nominal and Continuous Features. PAKDD Wenyin Tang, Kezhi Mao
2005	C	`conf`	Gene Selection of DNA Microarray Data Based on Regularization Networks. IDEAL Xin Zhou, Kezhi Mao
2004	J	`jnl`	Orthogonal forward selection and backward elimination algorithms for feature subset selection. IEEE Trans. Syst. Man Cybern. Part B Kezhi Mao