On Hadamard-Type Output Coding in Multiclass Learning. - Aijun Zhang; Zhi-Li Wu; Chun Hung Li; Kai-Tai Fang (IDEAL, 2003)

Spectral Energy Minimization for Semi-supervised Learning. - Chun Hung Li; Zhi-Li Wu (PAKDD, 2004)

Feature Selection with Transductive Support Vector Machines. - Zhili Wu; Chun-hung Li (Feature Extraction, 2006)

A Semi-supervised SVM for Manifold Learning. - Zhili Wu; Chun-hung Li; Ji Zhu; Jian Huang 009 (ICPR (2), 2006)

An Adaptation of EPCA to Image Compression and Reconstruction. - Xin Li 033; Zhili Wu; Xiaofeng Zhang 002 (SMC, 2006)

Topic Detection in Online Discussion Using Non-negative Matrix Factorization. - Zhi-Li Wu; Chun-hung Li (Web Intelligence/IAT Workshops, 2007)

A novel orthogonal NMF-based belief compression for POMDPs. - Xin Li 033; William Kwok-Wai Cheung; Jiming Liu 001; Zhili Wu (ICML, 2007)

L0-Constrained Regression for Data Mining. - Zhili Wu; Chun-hung Li (PAKDD, 2007)

Location Estimation via Support Vector Regression. - Zhili Wu; Chun-hung Li; Joseph Kee-Yin Ng; Karl R. P. H. Leung (IEEE Trans. Mob. Comput., 2007)

Real Time Recommendation Utilizing Experts' Experiences. - Jingyu Sun; Xueli Yu; Zhili Wu; Xianhua Li (FSKD (5), 2008)

Social and semantics analysis via non-negative matrix factorization. - Zhi-Li Wu; Chi-Wa Cheng; Chun-hung Li (WWW, 2008)

Fine-Grained Genre Classification Using Structural Learning Algorithms. - Zhili Wu; Katja Markert; Serge Sharoff (ACL, 2010)

The Web Library of Babel: evaluating genre collections. - Serge Sharoff; Zhili Wu; Katja Markert (LREC, 2010)

TMODF: Trajectory-based multi-objective optimal data forwarding in vehicular networks. - Maocai Fu; Xin Li 033; Fan Li 001; Xinyu Guo; Zhili Wu (IPCCC, 2014)

Computer-Aided Clinical Skin Disease Diagnosis Using CNN and Object Detection Models. - Xin He; Xiaoming Liu; Zhili Wu; Wu Yu; Xiaowen Chu 001; Shihao Wang; Shaohuai Shi; Zhenheng Tang; Yuxin Wang 003; Zhihao Zhao; Jing Dai; Ronghao Ni; et al. (IEEE BigData, 2019)

Teaching Quality Assessment of College English Department Based on Factor Analysis. - Zhihao Wu; Hui Li; Xinyu Zhang; Zhili Wu; Shuting Cao (Int. J. Emerg. Technol. Learn., 2021)

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks. - Hao Peng 015; Xiaozhi Wang; Jianhui Chen; Weikai Li 002; Yunjia Qi; Zimu Wang; Zhili Wu; Kaisheng Zeng; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2023)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models. - Jifan Yu; Xiaozhi Wang; Shangqing Tu; Shulin Cao; Daniel Zhang-Li; Xin Lv; Hao Peng 015; Zijun Yao 002; Xiaohan Zhang; Hanming Li; Chunyang Li; Zheyuan Zhang; et al. (ICLR, 2024)