Zhu, Yuchen

19 publications

ICML 2025 Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces Kevin Rojas, Yuchen Zhu, Sichen Zhu, Felix X-F. Ye, Molei Tao

ICLR 2025 Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology Images Sichen Zhu, Yuchen Zhu, Molei Tao, Peng Qiu

NeurIPS 2025 Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying

ICLRW 2025 Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms Yinuo Ren, Haoxuan Chen, Yuchen Zhu, Wei Guo, Yongxin Chen, Grant M. Rotskoff, Molei Tao, Lexing Ying

NeurIPS 2025 Infinite Neural Operators: Gaussian Processes on Functions Daniel Augusto de Souza, Yuchen Zhu, Harry Jake Cunningham, Yuri Saporito, Diego Mesquita, Marc Peter Deisenroth

NeurIPS 2025 Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations Across Alignment Formats Jiaye Qian, Ge Zheng, Yuchen Zhu, Sibei Yang

ICML 2025 Learning to Stop: Deep Learning for Mean Field Optimal Stopping Lorenzo Magnino, Yuchen Zhu, Mathieu Lauriere

NeurIPS 2025 MDNS: Masked Diffusion Neural Sampler via Stochastic Optimal Control Yuchen Zhu, Wei Guo, Jaemoo Choi, Guan-Horng Liu, Yongxin Chen, Molei Tao

CVPR 2025 Rethinking Query-Based Transformer for Continual Image Segmentation Yuchen Zhu, Cheng Shi, Dingyou Wang, Jiajin Tang, Zhengxuan Wei, Yu Wu, Guanbin Li, Sibei Yang

ICCV 2025 Sim-DETR: Unlock DETR for Temporal Sentence Grounding Jiajin Tang, Zhengxuan Wei, Yuchen Zhu, Cheng Shi, Guanbin Li, Liang Lin, Sibei Yang

ICLR 2025 Trivialized Momentum Facilitates Diffusion Generative Modeling on Lie Groups Yuchen Zhu, Tianrong Chen, Lingkai Kong, Evangelos Theodorou, Molei Tao

ICML 2025 When Can Proxies Improve the Sample Complexity of Preference Learning? Yuchen Zhu, Daniel Augusto De Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Matt Kusner, Alexander D’Amour

CLeaR 2024 Meaningful Causal Aggregation and Paradoxical Confounding Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing

ECCV 2024 Plain-Det: A Plain Multi-Dataset Object Detector Cheng Shi, Yuchen Zhu, Sibei Yang

NeurIPS 2024 Structured Learning of Compositional Sequential Interventions Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva

NeurIPSW 2024 Unsupervised Causal Abstraction Yuchen Zhu, Sergio Hernan Garrido Mejia, Bernhard Schölkopf, Michel Besserve

UAI 2022 Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt J. Kusner, Ricardo Silva

NeurIPS 2021 Causal Effect Inference for Structured Treatments Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J Kusner, Ricardo Silva

ICML 2021 Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction Afsaneh Mastouri, Yuchen Zhu, Limor Gultchin, Anna Korba, Ricardo Silva, Matt Kusner, Arthur Gretton, Krikamol Muandet