Zhengzhuo Xu

Zhengzhuo Xu

Tsinghua University

CS Ph.D. Candidate

Research Interests

Perception and Reasoning
Vision Language Models
Long-tailed Visual Recognition

About

I am a CS Ph.D candidate at SIGS, Tsinghua University, under the supervision of Prof. Yuan Chun. I graduated with a Bachelor degree of Electrical Engineering from Qiming College, EIC, Huazhong University of Science and Technology in June 2020, and I commenced my Ph.D studies at Tsinghua University in September 2020.

News

2025-07

Our work has been accepted by ICCV 2025 🎉

Selected Publications

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ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning

Zhengzhuo Xu, Sinan Du, Yiyan Qi, Siwen Lu, Chengjin Xu, Chun Yuan, Jian Guo

IEEE/CVF International Conference on Computer Vision, ICCV

A research on PointCoT, a framework integrating reflective interaction into chain-of-thought reasoning, designed to strengthen multimodal large language models' chart comprehension by linking textual reasoning with visual grounding, addressing numerical hallucinations and weak element grounding issues.

Seed1.5-VL Technical Report

Dong Guo, Faming Wu, Feida Zhu, Fuxing Leng, Guang Shi, Haobin Chen, Haoqi Fan, Jian Wang, Jianyu Jiang, Jiawei Wang, Zhengzhuo Xu, others

Arxiv preprint

A technical report on Seed1.5-VL, a multimodal model focusing on visual-language tasks, detailing the model architecture, training strategies, and performance evaluations across diverse multimodal benchmarks.

ChartMoE: Mixture of Expert Connector for Advanced Chart Understanding

Zhengzhuo Xu, Bowen Qu, Yiyan Qi, Sinan Du, Chengjin Xu, Chun Yuan, Jian Guo

International Conference on Learning Representations, ICLR oral

A research on ChartMoE, a Mixture of Expert Connector framework designed to enhance advanced chart understanding capabilities, leveraging expert specialization to address complex visual and semantic reasoning challenges in chart data analysis.

ChartBench: A Benchmark for Complex Visual Reasoning in Charts

Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, Jian Guo

Arxiv preprint

A research on ChartBench, a novel benchmark designed to evaluate the complex visual reasoning capabilities of models on chart data, covering diverse chart types and reasoning tasks in visual analytics.