| 2026 | EACL | Rethinking Prompt Optimizers: From Prompt Merits to Optimization. | Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Tianjiao Li, Chua Jia Jim Deryl, Lee Onn Mak, Gee Wah Ng, Kezhi Mao |
| 2025 | ICCV | HFD-Teacher: High-Frequency Depth Distillation From Depth Foundation Models for Enhanced Depth Completion. | Zhiyuan Yang, Anqi Cheng, Haiyue Zhu, Tianjiao Li, Pey Yuen Tao, Kezhi Mao |
| 2025 | NAACL | Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. | Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai, Kezhi Mao |
| 2025 | NAACL | Logit Separability-Driven Samples and Multiple Class-Related Words Selection for Advancing In-Context Learning. | Zixiao Zhu, Zijian Feng, Hanzhang Zhou, Junlang Qian, Kezhi Mao |
| 2024 | ACL | FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation. | Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu |
| 2024 | ACL | LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction. | Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao |
| 2024 | EACL | PromptExplainer: Explaining Language Models through Prompt-based Learning. | Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Kezhi Mao |
| 2024 | ICLR | Unveiling and Manipulating Prompt Influence in Large Language Models. | Zijian Feng, Hanzhang Zhou, Zixiao Zhu, Junlang Qian, Kezhi Mao |
| 2024 | ICRA | GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints. | Anqi Cheng, Zhiyuan Yang, Haiyue Zhu, Kezhi Mao |
| 2024 | NAACL | EDEntail: An Entailment-based Few-shot Text Classification with Extensional Definition. | Zixiao Zhu, Junlang Qian, Zijian Feng, Hanzhang Zhou, Kezhi Mao |
| 2023 | EMNLP | Closed Boundary Learning for Classification Tasks with the Universum Class. | Hanzhang Zhou, Zijian Feng, Kezhi Mao |
| 2023 | IJCAI | Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. | Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen |
| 2022 | ICARCV | A Comparative Study on Machine Learning algorithms for Knowledge Discovery. | Siddesh Sambasivam Suseela, Feng Yang, Kezhi Mao |
| 2022 | NAACL | Document-Level Event Argument Extraction by Leveraging Redundant Information and Closed Boundary Loss. | Hanzhang Zhou, Kezhi Mao |
| 2021 | AAAI | ACT: an Attentive Convolutional Transformer for Efficient Text Classification. | Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See |
| 2021 | ICCV | Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. | Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao |
| 2020 | IJCNN | Convolutional Transformer with Sentiment-aware Attention for Sentiment Analysis. | Pengfei Li, Peixiang Zhong, Jiaheng Zhang, Kezhi Mao |
| 2019 | EMNLP | Improving Relation Extraction with Knowledge-attention. | Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li |
| 2018 | FUSION | Feature Regrouping for CCA - Based Feature Fusion and Extraction Through Normalized Cut. | Zuobin Wu, Kezhi Mao, Gee Wah Ng |
| 2017 | FUSION | Convolutional neural networks and multimodal fusion for text aided image classification. | Dongzhe Wang, Kezhi Mao, Gee Wah Ng |
| 2017 | FUSION | Effective feature fusion for pattern classification based on intra-class and extra-class discriminative correlation analysis. | Zuobin Wu, Kezhi Mao, Gee Wah Ng |
| 2016 | BMVC | Event-Based Hough Transform in a Spiking Neural Network for Multiple Line Detection and Tracking Using a Dynamic Vision Sensor. | Sajjad Seifozzakerini, Wei-Yun Yau, Bo Zhao, Kezhi Mao |
| 2016 | FUSION | Adaptive multimodal fusion with web resources for scene classification. | Dongzhe Wang, Kezhi Mao, Gee Wah Ng, Tien Pham |
| 2016 | FUSION | Constructing Bayesian networks by harvesting knowledge from online resources. | Zhibo Xiao, Tharini Nayanika de Silva, Chen Wei, Kezhi Mao, Gee Wah Ng |
| 2016 | ICDCN | Automatic detection of cyberbullying on social networks based on bullying features. | Rui Zhao, Anna Zhou, Kezhi Mao |
| 2015 | FUSION | Improving scene classification by fusion of training data and web resources. | Dongzhe Wang, Kezhi Mao, Gee Wah Ng |
| 2014 | ICDM | Supervised Adaptive-Transfer PLSA for Cross-Domain Text Classification. | Rui Zhao, Kezhi Mao |
| 2012 | FUSION | A cognitively inspired rule-plus-exemplar framework for interpretable pattern classification. | Wing Yee Sit, Kezhi Mao |
| 2010 | ICARCV | Designing compact Gabor filter banks for efficient texture feature extraction. | Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai |
| 2010 | ICIP | Selection of Gabor filters for improved texture feature extraction. | Weitao Li, Kezhi Mao, Hong Zhang, Tianyou Chai |
| 2005 | IDEAL | Gene Selection of DNA Microarray Data Based on Regularization Networks. | Xin Zhou, Kezhi Mao |
| 2005 | PAKDD | Feature Selection Algorithm for Data with Both Nominal and Continuous Features. | Wenyin Tang, Kezhi Mao |