He, Tianxing

8 publications

ICML 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

ICLRW 2025 Towards Black-Box Membership Inference Attack for Diffusion Models Jingwei Li, Jing Dong, Tianxing He, Jingzhao Zhang

ICLR 2024 Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov

ICMLW 2024 Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, Yulia Tsvetkov

NeurIPS 2023 Can Language Models Solve Graph Problems in Natural Language? Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, Yulia Tsvetkov

NeurIPS 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül

ICLR 2020 Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity Jingzhao Zhang, Tianxing He, Suvrit Sra, Ali Jadbabaie

ICLR 2019 Detecting Egregious Responses in Neural Sequence-to-Sequence Models Tianxing He, James Glass