On the Performance of Power Fingerprinting Mobile Positioning Systems: Simulation Study. - Eyosias Yoseph Imana; Po-Wei Wang (ICWN, 2009)

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. - Po-Lung Chen; Chen-Tse Tsai; Yao-Nan Chen; Ku-Chun Chou; Chun-Liang Li; Cheng-Hao Tsai; Kuan-Wei Wu; Yu-Cheng Chou; Chung-Yi Li; Wei-Shih Lin; Shu-Hao Yu; Rong-Bing Chiu; et al. (KDD Cup, 2012)

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. - Todd G. McKenzie; Chun-Sung Ferng; Yao-Nan Chen; Chun-Liang Li; Cheng-Hao Tsai; Kuan-Wei Wu; Ya-Hsuan Chang; Chung-Yi Li; Wei-Shih Lin; Shu-Hao Yu; Chieh-Yen Lin; Po-Wei Wang; et al. (KDD Cup, 2012)

Support Vector Machines. - Po-Wei Wang; Chih-Jen Lin (Data Classification: Algorithms and Applications, 2014)

Iteration complexity of feasible descent methods for convex optimization. - Po-Wei Wang; Chih-Jen Lin (J. Mach. Learn. Res., 2014)

Epigraph projections for fast general convex programming. - Po-Wei Wang; Matt Wytock; J. Zico Kolter (ICML, 2016)

Polynomial Optimization Methods for Matrix Factorization. - Po-Wei Wang; Chun-Liang Li; J. Zico Kolter (AAAI, 2017)

Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization. - Ching-Pei Lee; Po-Wei Wang; Weizhu Chen; Chih-Jen Lin (SDM, 2017)

The Mixing method: coordinate descent for low-rank semidefinite programming. - Po-Wei Wang; Wei-Cheng Chang; J. Zico Kolter (CoRR, 2017)

Realtime Query Completion via Deep Language Models. - Po-Wei Wang; Huan Zhang 001; Vijai Mohan; Inderjit S. Dhillon; J. Zico Kolter (eCOM@SIGIR, 2018)

Low-Rank Semidefinite Programming for the MAX2SAT Problem. - Po-Wei Wang; J. Zico Kolter (AAAI, 2019)

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver. - Po-Wei Wang; Priya L. Donti; Bryan Wilder; J. Zico Kolter (ICML, 2019)

The Common-directions Method for Regularized Empirical Risk Minimization. - Po-Wei Wang; Ching-Pei Lee; Chih-Jen Lin (J. Mach. Learn. Res., 2019)

Differentiable learning of numerical rules in knowledge graphs. - Po-Wei Wang; Daria Stepanova 001; Csaba Domokos; J. Zico Kolter (ICLR, 2020)

Efficient semidefinite-programming-based inference for binary and multi-class MRFs. - Chirag Pabbaraju; Po-Wei Wang; J. Zico Kolter (NeurIPS, 2020)

Community detection using fast low-cardinality semidefinite programming . - Po-Wei Wang; J. Zico Kolter (NeurIPS, 2020)

Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization. - Ching-Pei Lee; Po-Wei Wang; Chih-Jen Lin (Math. Program. Comput., 2022)

Learning and Reasoning with Fast Semidefinite Programming and Mixing Methods. - Po-Wei Wang (2022)

TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest. - Xue Xia; Pong Eksombatchai; Nikil Pancha; Dhruvil Deven Badani; Po-Wei Wang; Neng Gu; Saurabh Vishwas Joshi; Nazanin Farahpour; Zhiyuan Zhang; Andrew Zhai (KDD, 2023)

Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training. - Yi-Ping Hsu; Po-Wei Wang; Chantat Eksombatchai; Jiajing Xu (RecSys, 2024)