Xu, Yifei

9 publications

ICLR 2025 CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

NeurIPS 2025 Geometric Algorithms for Neural Combinatorial Optimization with Constraints Nikolaos Karalias, Akbar Rafiey, Yifei Xu, Zhishang Luo, Behrooz Tahmasebi, Connie Jiang, Stefanie Jegelka

ICML 2025 RLTHF: Targeted Human Feedback for LLM Alignment Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Srinagesh Sharma, Songwu Lu, Ranveer Chandra

NeurIPS 2025 VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree Wenlong Li, Yifei Xu, Yuan Rao, Zhenhua Wang, Shuiguang Deng

AAAI 2023 A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-Run Langevin Flow for Approximate Inference Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

AAAI 2022 SAS: Self-Augmentation Strategy for Language Model Pre-Training Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu

IJCAI 2022 Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao

CVPR 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

CVPR 2017 Generative Hierarchical Learning of Sparse FRAME Models Jianwen Xie, Yifei Xu, Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu