| 2025 | NAACL | Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings. | Xuanqing Liu, Luyang Kong, Wei Niu, Afshin Khashei, Belinda Zeng, Steve Johnson, Jon Jay, Davor Golac, Matt Pope |
| 2024 | EMNLP | BPID: A Benchmark for Personal Identity Deduplication. | Runhui Wang, Yefan Tao, Adit Krishnan, Luyang Kong, Xuanqing Liu, Yuqian Deng, Yunzhao Yang, Henrik Johnson, Andrew Borthwick, Shobhit Gupta, Aditi Gundlapalli, Davor Golac |
| 2024 | KDD | GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security. | Xuanqing Liu, Runhui Wang, Yang Song, Luyang Kong |
| 2021 | ICLR | Evaluations and Methods for Explanation through Robustness Analysis. | Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh |
| 2020 | CVPR | How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework. | Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh |
| 2020 | ICML | Learning to Encode Position for Transformer with Continuous Dynamical Model. | Xuanqing Liu, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2019 | CVPR | Rob-GAN: Generator, Discriminator, and Adversarial Attacker. | Xuanqing Liu, Cho-Jui Hsieh |
| 2019 | ICLR | Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network. | Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh |
| 2019 | KDD | Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks. | Wei-Lin Chiang, Xuanqing Liu, Si Si, Yang Li, Samy Bengio, Cho-Jui Hsieh |
| 2018 | ECCV | Towards Robust Neural Networks via Random Self-ensemble. | Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh |
| 2018 | ICML | Fast Variance Reduction Method with Stochastic Batch Size. | Xuanqing Liu, Cho-Jui Hsieh |