Jin, Kun

10 publications

NeurIPS 2025 Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization Tao Zhang, Cheng Da, Kun Ding, Huan Yang, Kun Jin, Yan Li, Tingting Gao, Di Zhang, Shiming Xiang, Chunhong Pan

NeurIPS 2024 Consistency Purification: Effective and Efficient Diffusion Purification Towards Certified Robustness Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao

AAAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

NeurIPS 2024 User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu

ICLR 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

ICLRW 2023 Performative Federated Learning Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

NeurIPSW 2022 DensePure: Understanding Diffusion Models Towards Adversarial Robustness Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

ICML 2022 Fairness Interventions as (Dis)Incentives for Strategic Manipulation Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu

AAAI 2021 Multi-Scale Games: Representing and Solving Games on Networks with Group Structure Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu

IJCAI 2021 Two-Sided Wasserstein Procrustes Analysis Kun Jin, Chaoyue Liu, Cathy Xia