Zhuokai Zhao
PhD Candidate in Computer Science
University of Chicago
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biography
I am currently a final-year PhD Candidate in Computer Science at the University of Chicago. My research focus is to develop novel algorithms in both training and inference stages to improve trustworthiness, robustness, and data efficiency for multimodal deep learning models (mostly large language models and vision-language models).

During my PhD, I am fortunate to have been working with Prof. Yuxin Chen (advisor), Prof. Bo Li (committee member), and Prof. Michael Maire (committee member). I obtained my Master's degree in Computer Science as part of my PhD in 2021, advised by Prof. Gordon Kindlmann.

Previously, I received my Master's degree in Robotics from the Johns Hopkins University, under the supervision of Prof. Nassir Navab in 2018, and my Bachelor's degree with Honors in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2016, where I was advised by Prof. Seth Hutchinson.

experience
selected publications (* indicates equal contributions)
RankCLIP: Ranking-Consistent Language-Image Pretraining
Yiming Zhang*, Zhuokai Zhao*, Zhaorun Chen, Zhili Feng, Zenghui Ding, and Yining Sun
In submission, 2024
PDF / Code

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
Zhaorun Chen*, Zhuokai Zhao*, Hongyin Luo, Huaxiu Yao, Bo Li, and Jiawei Zhou
International Conference on Machine Learning (ICML), 2024
Preliminary version appeared in ICLR Workshop on Reliable and Responsible Foundation Models
, 2024
PDF / Code

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition
Zhaorun Chen*, Zhuokai Zhao*, Zhihong Zhu*, Ruiqi Zhang, Xiang Li, Bhiksha Raj, and Huaxiu Yao
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Preliminary version appeared in ICLR Workshop on Reliable and Responsible Foundation Models
, 2024
PDF / Code

Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao, Yibo Jiang, and Yuxin Chen
In submission, 2024
PDF / Code

Multi-Modality Guidance Network For Missing Modality Inference
Zhuokai Zhao, Harish Palani, Tianyi Liu, Lena Evans, and Ruth Toner
IEEE International Conference on Multimedia and Expo (ICME) Industry Track, 2023
PDF / Code

Breaking the Curse of Quality Saturation with User-Centric Ranking
Zhuokai Zhao, Yang Yang, Wenjie Hu, and Shuang Yang
29th Conference on Knowledge Discovery and Data Mining (KDD), 2023
PDF / Code

other publications
EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving
Zhaorun Chen, Siyue Wang, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Sibo Hu
In submission, 2024

RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs
Guanlin Wu, Zhuokai Zhao, and Yutao He
In submission, 2023
PDF / Code

dissertations
Robust Data Utilization for Efficient and Trustworthy Deep Learning
Zhuokai Zhao
Ph.D. in Computer Science, 2024
PDF
Utilizing Both Past and Future: Multi-Frame Memory Based Network in Solving Particle Image Velocimetry
Zhuokai Zhao
MS in Computer Science, 2021
PDF / Code

other projects
Trajectory Planning and Control for Nonholonomic Robot Among Onstacles
Zhuokai Zhao, Mengdi Xu, and Changxin Yan
Nonlinear Control and Planning in Robotics, 2018
PDF / Code

Service
Conference Reviewer Journal Reviewer





Last Updated: May 1, 2024