I am Yongheng Zhang, a master student (2024-2027) at the School of Computer Science and Engineering, Central South University (CSU).
Currently, under the guidance of Prof. Libo Qin and Dr. Qiguang Chen, my research focuses on Large Language Models, Reasoning, and Chain-of-Thought. My research interests are as follows:
-
βοΈ Large Language Model: Large Language Model Reasoning aims to empower language models with structured and logical thinking beyond pattern matching. By enabling multi-step inference and problem decomposition, it enhances reliability and interpretability, supporting complex decision-making, scientific discovery, and human-level cognition.
-
π World Models: The goal of World Models for Video Understanding and Generation is to build agents that perceive, reason, and predict through dynamic visual experiences. By learning structured video representations, they enable accurate understanding, long-term prediction, and creative generation, paving the way for intelligent interaction and simulation of real-world dynamics.
If you are interested in my research, feel free to contact me:
Email: zyhbrz Β Β Wechat: NHistory
π₯ News
- 2025.07: Β π₯π₯ Our ViTCoT is accepted by ACM MM 2025.
- 2025.05: Β ππ₯ Our CCHall is accepted by ACL 2025 Main.
- 2025.03: Β ππ Our MDCoT is accepted by ICME 2025.
- 2024.10: Β ππ Our WoT is accepted by EMNLP 2024 Findings.
- 2024.08: Β ππ Our S3Agent is accepted by ToMM.
- 2024.05: Β ππ Our Auto-CAP is accepted by ACL 2024 Findings.
- 2023.12: Β ππ Our LabCLIP is accepted by ICASSP 2024.
π Publications
-
ACM MM 2025
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
Yongheng Zhang*, Xu Liu*, Ruihan Tao, Qiguang Chen, Hao Fei, Wanxiang Che, Libo Qin. -
ACL 2025 Main
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
Yongheng Zhang*, Xu Liu*, Ruoxi Zhou, Qiguang Chen, Hao Fei, Wenpeng Lu, Libo Qin. -
ACL 2024 Findings
AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought
Yongheng Zhang*, Qiguang Chen*, Min Li, Wanxiang Che, Libo Qin. -
EMNLP 2024 Findings
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information
Yongheng Zhang, Qiguang Chen, Jingxuan Zhou, Peng Wang, Jiasheng Si, Jin Wang, Wenpeng Lu, Libo Qin. -
ICASSP 2024
LabCLIP: Label-Enhanced Clip for Improving Zero-Shot Text Classification
Yongheng Zhang, Peng Wang, Qiguang Chen, Jingxuan Zhou, Yongmei Wang, Min Li, Libo Qin. -
ICME 2025
MDCoT: Medical Diagnosis Chain-of-Thought with Self-Diagnostic Refinement for Alzheimerβs Disease
Chunlin Lu*, Yongheng Zhang*, Peng Wang*, Wenpeng Lu, Libo Qin. -
ToMM 2024
S3 Agent: Unlocking the Power of VLLM for Zero-Shot Multi-modal Sarcasm Detection
Peng Wang, Yongheng Zhang, Hao Fei, Qiguang Chen, Yukai Wang, Jiasheng Si, Wenpeng Lu, Min Li, Libo Qin. -
FCS 2025
Large Language Models Meet NLP: A Survey
Libo Qin, Qiguang Chen, Xiachong Feng, Yang Wu, Yongheng Zhang, Yinghui Li, Min Li, Wanxiang Che, Philip S Yu.
Selected Publications



AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought
Yongheng Zhang*, Qiguang Chen*, Min Li, Wanxiang Che, Libo Qin.
(ACL 2024 Findings, CCF Rank A Findings)
Paper | Code |

π Honors and Awards
-
2024 NLPCC 2024, Coreference Resolution and Relation Extraction Task, Second Runner-Up.
-
2023 China National University Student Innovation & Entrepreneurship Development Program.
-
2022 Chinese Collegiate Computing Competition, National First Prize.
π Open Source Projects
π Community Service
-
PC Member / Reviewer: NeurIPS 2025, ACL 2025 ARR, AAAI 2025, EMNLP 2025 ARR, ICASSP 2025, ICME 2025, IJCNN 2025, NLPCC 2024, 2025.
-
MLNLP Community Secretary.
π If you like this homepage template, welcome to star and fork the open-sourced template AcadHomepage.