Zeng, Yan

19 publications

ICML 2025 Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

WACV 2025 Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method Yan Zeng, Masanori Suganuma, Takayuki Okatani

NeurIPS 2025 Learning Counterfactual Outcomes Under Rank Preservation Peng Wu, Haoxuan Li, Chunyuan Zheng, Yan Zeng, Jiawei Chen, Yang Liu, Ruocheng Guo, Kun Zhang

NeurIPS 2025 Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables Zheng Li, Xichen Guo, Feng Xie, Yan Zeng, Hao Zhang, Zhi Geng

ICML 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

ICML 2024 Boximator: Generating Rich and Controllable Motions for Video Synthesis Jiawei Wang, Yuchen Zhang, Jiaxin Zou, Yan Zeng, Guoqiang Wei, Liping Yuan, Hang Li

NeurIPS 2024 CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu

NeurIPS 2024 DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM Yingjun Shen, Haizhao Dai, Qihe Chen, Yan Zeng, Jiakai Zhang, Yuan Pei, Jingyi Yu

NeurIPS 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng

NeurIPS 2024 Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu

ICML 2024 Local Causal Structure Learning in the Presence of Latent Variables Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng

CVPR 2024 Make Pixels Dance: High-Dynamic Video Generation Yan Zeng, Guoqiang Wei, Jiani Zheng, Jiaxin Zou, Yang Wei, Yuchen Zhang, Hang Li

ICML 2024 Policy Learning for Balancing Short-Term and Long-Term Rewards Peng Wu, Ziyu Shen, Feng Xie, Wang Zhongyao, Chunchen Liu, Yan Zeng

AAAI 2024 eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu

MLOSS 2023 Python Package for Causal Discovery Based on LiNGAM Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, Shohei Shimizu

CLeaR 2022 Causal Discovery for Linear Mixed Data Yan Zeng, Shohei Shimizu, Hidetoshi Matsui, Fuchun Sun

ICML 2022 Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts Yan Zeng, Xinsong Zhang, Hang Li

ICML 2022 VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-Training Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

IJCAI 2021 Causal Discovery with Multi-Domain LiNGAM for Latent Factors Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao