whoami

I am a PhD student in the Department of Statistics and Data Science at The Chinese University of Hong Kong, supervised by Prof. Ben Dai. Previously, I obtained my Bachelor's degree from Beihang University.

I have broad research interests in machine learning. My earlier work centered on developing ML algorithms with statistical consistency: given a task and the metric it will be evaluated on, how a principled co-design of the loss function and the inference algorithm can optimize that metric directly rather than through a heuristic surrogate.

More recently, my interests have shifted to large language models and agentic AI, including data synthesis, benchmarking, harness engineering, and post-training.

ls publications/5 entries

On the Relaxation of Conditional Independence Assumption for Image Segmentation

Zixun Wang, Ben Dai

Conference on Neural Information Processing Systems (NeurIPS) · 2026Spotlight (Top 3.7%)

Revisiting F-measure Optimization in Multi-Label Classification: A Sampling-based Approach

Zixun Wang

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2026

RankSEG-RMA: An Efficient Segmentation Algorithm via Reciprocal Moment Approximation

Zixun Wang, Ben Dai

Conference on Neural Information Processing Systems (NeurIPS) · 2025

Less is More: Surgical Phase Recognition from Timestamp Supervision

Xinpeng Ding, Xinjian Yan, Zixun Wang, Wei Zhao, Jian Zhuang, Xiaowei Xu, Xiaomeng Li

IEEE Transactions on Medical Imaging (TMI) · 2023

V2X-Sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving

Yiming Li, Dekun Ma, Ziyan An, Zixun Wang, Yiqi Zhong, Siheng Chen, Chen Feng

IEEE Robotics and Automation Letters (RA-L) · 2022

ls projects/1 entry

RankSEG

image segmentation · statistical consistency

A segmentation algorithm that directly optimizes Dice and IoU with theoretical guarantees. Grounded in Bayesian decision theory, training-free, and applied at inference within three-lines code.