Wu, Kun-Lung

3 publications

ICLR 2026 GneissWeb: Preparing High Quality Data for LLMs at Scale Hajar Emami Gohari, Swanand Ravindra Kadhe, Yousaf Shah, Constantin M Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo, Santosh Subhashrao Borse, Yuan-Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei A. Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspooon, Herbert Woisetschläger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee

AAAI 2020 Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning Xiang Ni, Jing Li, Mo Yu, Wang Zhou, Kun-Lung Wu

ECML-PKDD 2014 Fast Nearest Neighbor Search on Large Time-Evolving Graphs Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu