Chen, Yiting

10 publications

ICLR 2025 Regularizing Energy Among Training Samples for Out-of-Distribution Generalization Yiting Chen, Qitian Wu, Junchi Yan

ICLR 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory Yiting Chen, Zhanpeng Zhou, Junchi Yan

ICML 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping Tianyi Bao, Qitian Wu, Zetian Jiang, Yiting Chen, Jiawei Sun, Junchi Yan

CVPR 2024 OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning Lingyi Hong, Shilin Yan, Renrui Zhang, Wanyun Li, Xinyu Zhou, Pinxue Guo, Kaixun Jiang, Yiting Chen, Jinglun Li, Zhaoyu Chen, Wenqiang Zhang

NeurIPS 2024 Unveiling the Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance Yiting Chen, Jiazi Bu, Junchi Yan

NeurIPS 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-Level Semantic Information Yiting Chen, Junchi Yan

ICLR 2023 Energy-Based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu, Yiting Chen, Chenxiao Yang, Junchi Yan

ICLR 2023 Towards One-Shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan

NeurIPS 2022 Rethinking and Improving Robustness of Convolutional Neural Networks: A Shapley Value-Based Approach in Frequency Domain Yiting Chen, Qibing Ren, Junchi Yan

NeurIPS 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang