Prediction of Gas Emission Volume Based on Wavelet Neural Network. - Li Gao; Yanjun Hu; Guizhen Chen; Hongzhen Yu (ICNC (2), 2007)

Series Arc Fault Detection in a Low-Voltage Power System Based on CEEMDAN Decomposition and Sensitive IMF Selection. - Guixia Fu; Guizhen Chen; Wei Wang 440; Qinbing Wang; Guofeng Zou (J. Sensors, 2022)

Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods. - Zhilong Xi; Huadong Xu; Yanqiu Xing; Weishu Gong; Guizhen Chen; Shuhang Yang (Remote. Sens., 2022)

Zero-Shot Text Classification via Self-Supervised Tuning. - Chaoqun Liu; Wenxuan Zhang 001; Guizhen Chen; Xiaobao Wu; Anh Tuan Luu; Chip-Hong Chang; Lidong Bing (ACL (Findings), 2023)

Few-Shot Person Re-identification Based on Hybrid Pooling Fusion and Gaussian Relation Metric. - Guizhen Chen; Guofeng Zou; Jinjie Li; Xiaofei Zhang (CCBR, 2023)

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. - Yew Ken Chia; Hui Chen 023; Wei Han 002; Guizhen Chen; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2023)

Contrastive Chain-of-Thought Prompting. - Yew Ken Chia; Guizhen Chen; Luu Anh Tuan; Soujanya Poria; Lidong Bing (CoRR, 2023)

Few-shot person re-identification based on Feature Set Augmentation and Metric Fusion. - Guizhen Chen; Guofeng Zou; Yue Liu; Xiaofei Zhang; Guixia Fu (Eng. Appl. Artif. Intell., 2023)

Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning. - Yue Liu; Guofeng Zou; Guizhen Chen; Mingliang Gao 001; Liju Yin (Appl. Intell., 2023)

Exploring the Potential of Large Language Models in Computational Argumentation. - Guizhen Chen; Liying Cheng; Anh Tuan Luu; Lidong Bing (ACL (1), 2024)

Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. - Bosheng Ding; Chengwei Qin; Ruochen Zhao; Tianze Luo; Xinze Li; Guizhen Chen; Wenhan Xia; Junjie Hu 001; Anh Tuan Luu; Shafiq Joty (ACL (Findings), 2024)

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. - Yew Ken Chia; Guizhen Chen; Weiwen Xu; Anh Tuan Luu; Soujanya Poria; Lidong Bing (EMNLP (Findings), 2024)

How do Large Language Models Handle Multilingualism? - Yiran Zhao 006; Wenxuan Zhang 001; Guizhen Chen; Kenji Kawaguchi; Lidong Bing (NeurIPS, 2024)

Unsupervised Person Re-ID Based on Nonlinear Asymmetric Metric Learning. - Yue Liu; Guizhen Chen; Yushan Chen; Guixia Fu; Guofeng Zou (PRCV (15), 2024)

FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving. - Guizhen Chen; Weiwen Xu; Hao Zhang 048; Hou Pong Chan; Chaoqun Liu; Lidong Bing; Deli Zhao; Anh Tuan Luu; Yu Rong (ACL (1), 2025)

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. - Chang Gao; Wenxuan Zhang 001; Guizhen Chen; Wai Lam (ACL (Findings), 2025)

Pruning General Large Language Models into Customized Expert Models. - Yiran Zhao 006; Guizhen Chen; Kenji Kawaguchi; Lidong Bing; Wenxuan Zhang 001 (ACL (Findings), 2025)

Pruning General Large Language Models into Customized Expert Models. - Yirao Zhao; Guizhen Chen; Kenji Kawaguchi; Lidong Bing; Wenxuan Zhang 001 (CoRR, 2025)

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning. - LASA Team; Weiwen Xu; Hou Pong Chan; Long Li; Mahani Aljunied; Ruifeng Yuan; Jianyu Wang; Chenghao Xiao; Guizhen Chen; Chaoqun Liu; Zhaodonghui Li; Yu Sun; et al. (CoRR, 2025)