About Me

Welcome!

I am a PhD candidate in Computer Science at Cornell University, advised by Professor Kilian Q. Weinberger. I am broadly interested in generative models and reliable and robust machine learning. Prior to joining Cornell, I received my B.S. in Statistics and Machine Learning with an additional major in Computer Science at Carnegie Mellon University.

Publications and Manuscripts

Unsupervised Out-of-Distribution Detection with Diffusion Inpainting
In Conference on Machine Learning (ICML), 2023. [paper] [code]
Zhenzhen Liu*, Jin Peng Zhou*, Yufan Wang, Kilian Q. Weinberger

Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
In Advances of Neural Information Processing (NeurIPS), 2023. [paper] [code]
Katie Z Luo*, Zhenzhen Liu*, Xiangyu Chen*, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger

Correction with Backtracking Reduces Hallucination in Summarization
Manuscript, 2023. [paper] [code]
Zhenzhen Liu, Chao Wan, Varsha Kishore, Jin Peng Zhou, Minmin Chen, Kilian Q. Weinberger

Zero-shot Object-Level OOD Detection with Context-Aware Inpainting
Manuscript, 2024. [paper]
Quang-Huy Nguyen*, Jin Peng Zhou*, Zhenzhen Liu, Khanh-Huyen Bui, Kilian Q. Weinberger, Dung D. Le

DiffuBox: Refining 3D Object Detection with Point Diffusion
In Advances of Neural Information Processing (NeurIPS), 2024. [paper] [code]
Xiangyu Chen*, Zhenzhen Liu*, Katie Z Luo*, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger

Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
Manuscript, 2025. [paper] [website]
Katie Luo*, Minh-Quan Dao*, Zhenzhen Liu*, Mark Campbell, Wei-Lun Chao, Kilian Q. Weinberger, Ezio Malis, Vincent Fremont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez

* Equal contribution