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.
Education
Ph.D. in Computer Science
Cornell University · Ithaca, NY
Cornell University · Ithaca, NY
B.S. in Statistics and Machine Learning
Additional Major in Computer Science
Carnegie Mellon University · Pittsburgh, PA
Additional Major in Computer Science
Carnegie Mellon University · Pittsburgh, PA
Publications and Manuscripts
For a complete list of publications, please refer to my Google Scholar page.
* Equal contribution
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
In Winter Conference on Applications of Computer Vision (WACV), 2026. [paper] [code]
Quang-Huy Nguyen*, Jin Peng Zhou*, Zhenzhen Liu*, Khanh-Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le
In Winter Conference on Applications of Computer Vision (WACV), 2026. [paper] [code]
Quang-Huy Nguyen*, Jin Peng Zhou*, Zhenzhen Liu*, Khanh-Huyen Bui, Kilian Q. Weinberger, Wei-Lun Chao, Dung D. Le
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X
Collaboration
In International Conference on Computer Vision (ICCV), 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
In International Conference on Computer Vision (ICCV), 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
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
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
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
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
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
In Conference on Machine Learning (ICML), 2023. [paper] [code]
Zhenzhen Liu*, Jin Peng Zhou*, Yufan Wang, Kilian Q. Weinberger
Predicting Cardiopulmonary Exercise Testing Performance in Patients Undergoing Transthoracic Echocardiography - An AI Based, Multimodal Model
Manuscript, 2025. [paper]
Shudhanshu Alishetti*, Weishen Pan*, Ashley N Beecy, Zhenzhen Liu, Albert Gong, Zhe Huang, Kevin J Clerkin, Rochelle L Goldsmith, David T Majure, Chris Kelsey, David vanMaanan, Jeffrey Ruhl, Naomi Tesfuzigta, Erica Lancet, Deepa Kumaraiah, Gabriel Sayer, Deborah Estrin, Kilian Weinberger, Volodymyr Kuleshov, Fei Wang, Nir Uriel
Manuscript, 2025. [paper]
Shudhanshu Alishetti*, Weishen Pan*, Ashley N Beecy, Zhenzhen Liu, Albert Gong, Zhe Huang, Kevin J Clerkin, Rochelle L Goldsmith, David T Majure, Chris Kelsey, David vanMaanan, Jeffrey Ruhl, Naomi Tesfuzigta, Erica Lancet, Deepa Kumaraiah, Gabriel Sayer, Deborah Estrin, Kilian Weinberger, Volodymyr Kuleshov, Fei Wang, Nir Uriel
Benchmark Datasets for Lead-Lag Forecasting on Social Platforms
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Datasets and Benchmarks Track, 2026. [paper] [website]
Kimia Kazemian*, Zhenzhen Liu*, Yangfanyu Yang, Katie Z Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q Weinberger, John Thickstun, Yian Yin, Sarah Dean
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) Datasets and Benchmarks Track, 2026. [paper] [website]
Kimia Kazemian*, Zhenzhen Liu*, Yangfanyu Yang, Katie Z Luo, Shuhan Gu, Audrey Du, Xinyu Yang, Jack Jansons, Kilian Q Weinberger, John Thickstun, Yian Yin, Sarah Dean
Recent News
[2026-06] I am excited to share that I will be giving a talk at the Drive-X workshop @ IV 2026!</br>
[2025-10] I am excited to share that I am helping organize the X‑Sense: Ego‑Exo Sensing for Smart Mobility workshop at ICCV 2025. We warmly welcome everyone to attend!