Ni, Hao

8 publications

AAAI 2025 MCGAN: Enhancing GAN Training with Regression-Based Generator Loss Baoren Xiao, Hao Ni, Weixin Yang

NeurIPS 2024 High Rank Path Development: An Approach to Learning the Filtration of Stochastic Processes Jiajie Tao, Hao Ni, Chong Liu

TMLR 2024 Path Development Network with Finite-Dimensional Lie Group Hang Lou, Siran Li, Hao Ni

AAAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations Shiqi Gong, Peiyan Hu, Qi Meng, Yue Wang, Rongchan Zhu, Bingguang Chen, Zhiming Ma, Hao Ni, Tie-Yan Liu

NeurIPS 2023 PCF-GAN: Generating Sequential Data via the Characteristic Function of Measures on the Path Space Hang Lou, Siran Li, Hao Ni

ICCV 2023 Part-Aware Transformer for Generalizable Person Re-Identification Hao Ni, Yuke Li, Lianli Gao, Heng Tao Shen, Jingkuan Song

CVPR 2022 Meta Distribution Alignment for Generalizable Person Re-Identification Hao Ni, Jingkuan Song, Xiaopeng Luo, Feng Zheng, Wen Li, Heng Tao Shen

UAI 2016 Cascading Bandits for Large-Scale Recommendation Problems Shi Zong, Hao Ni, Kenny Sung, Nan Rosemary Ke, Zheng Wen, Branislav Kveton