| 2025 | ICLR | Data-centric Prediction Explanation via Kernelized Stein Discrepancy. | Mahtab Sarvmaili, Hassan Sajjad, Ga Wu |
| 2025 | ICML | Resolving Lexical Bias in Model Editing. | Hammad Rizwan, Domenic Rosati, Ga Wu, Hassan Sajjad |
| 2025 | SIGIR | Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. | Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu |
| 2024 | ICLR | Self-supervised Representation Learning from Random Data Projectors. | Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs |
| 2022 | AAAI | PUMA: Performance Unchanged Model Augmentation for Training Data Removal. | Ga Wu, Masoud Hashemi, Christopher Srinivasa |
| 2022 | WWW | Distributional Contrastive Embedding for Clarification-based Conversational Critiquing. | Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner |
| 2020 | ICDM | Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering. | Zheda Mai, Ga Wu, Kai Luo, Scott Sanner |
| 2020 | RecSys | A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. | Hanze Li, Scott Sanner, Kai Luo, Ga Wu |
| 2020 | WWW | Latent Linear Critiquing for Conversational Recommender Systems. | Kai Luo, Scott Sanner, Ga Wu, Hanze Li, Hojin Yang |
| 2020 | SIGIR | Deep Critiquing for VAE-based Recommender Systems. | Kai Luo, Hojin Yang, Ga Wu, Scott Sanner |
| 2019 | RecSys | Deep language-based critiquing for recommender systems. | Ga Wu, Kai Luo, Scott Sanner, Harold Soh |
| 2019 | SIGIR | One-Class Collaborative Filtering with the Queryable Variational Autoencoder. | Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner |
| 2019 | SIGIR | Noise Contrastive Estimation for One-Class Collaborative Filtering. | Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai |
| 2019 | SDM | A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification. | Yakun Wang, Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner, Sen Su, Zhongbao Zhang |
| 2018 | RecSys | Two-stage Model for Automatic Playlist Continuation at Scale. | Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner |
| 2017 | IJCAI | Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming. | Buser Say, Ga Wu, Yu Qing Zhou, Scott Sanner |
| 2015 | AAAI | Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time. | Ga Wu, Scott Sanner, Rodrigo F. S. C. Oliveira |