Haochun Wang

About Me

Hi, I am an associate researcher in the Health Intelligence (HI) group of the research center of Social Computing and Interactive Robotics (SCIR) at the Harbin Institute of Technology. I got my Ph.D. at SCIR under the supervision of Professor Ting Liu and Associate Professor Sendong Zhao.

Research Interests

Natural Language Processing
Large Language Model
Multi-Agent System
AI + Disease Control / Biomedicine / Pharmaceutical Science / Cognitive Science

Education

Harbin Institute of Technology

2020–2025
Ph.D. in Computer Science
Supervisor: Professor Ting Liu and Associate Professor Sendong Zhao

University of Queensland

2018–2019
Master in Engineering Science
Supervisor: Professor Helen (Zi) Huang

Harbin Institute of Technology

2014–2018
Bachelor in Computer Science

Publications

AI + Epidemiology

SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation

Haochun Wang, Sendong Zhao, Jingbo Wang, Yanrui Du, Ting Liu, Bing Qin

KDD 2026 paper

Multi-Agent System

Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems

Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu

ACL 2025 paper code

Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy

Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Lizhe Zhang, Yan Liu, Bing Qin

ACL 2026 coming soon

Orchestrating Intelligence: Confidence-Aware Routing for Efficient Multi-Agent Collaboration across Multi-Scale Models

Jingbo Wang, Sendong Zhao, Jiatong Liu, Haochun Wang, Wanting Li, Bing Qin, Ting Liu

arXiv paper

Optimal-agent-selection: State-aware routing framework for efficient multi-agent collaboration

Jingbo Wang, Sendong Zhao, Haochun Wang, Yuzheng Fan, Lizhe Zhang, Yan Liu, Ting Liu

arXiv paper

Large Language Model (Biomedical)

Easier to Judge than to Find: Predicting In-Context Learning Success for Demonstration Selection

Haochun Wang, Chaofen Yang, Jiatong Liu, Jingbo Wang, Zewen Qiang, Sendong Zhao, Ting Liu, Bing Qin

ICML 2026 paper

LLMs May Perform MCQA by Selecting the Least Incorrect Option

Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu

COLING 2025 paper

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese

Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu

ACM TKDD paper

BenTsao: Open-source Chinese Medical Large Language Model

Haochun Wang, Yanrui Du, Chi Liu, Rui Bai, Nuwa Xi, Yuhan Chen, Zewen Qiang, Jianyu Chen, Zijian Li, Sendong Zhao, Bing Qin, Ting Liu

CCL 2023 Demo Huatuo-Llama Med-ChatGLM

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure

Boyu Xiao, Xiuqi Tian, Xuwen Song, Haochun Wang, Guanchun Song, Sendong Zhao, Bing Qin

ACL 2026 coming soon

GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis

Yi Jiang, Sendong Zhao, Jianbo Li, Haochun Wang, Bing Qin

ACL 2025 paper

CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark

Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu

IEEE BIBM 2024 paper

AS-ES Learning: Towards Efficient CoT Learning in Small Models

Nuwa Xi*, Yuhan Chen*, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu

ACL 2024 Findings paper

Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis

Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu

arXiv 2024 paper

Huatuo: Tuning LLaMA Model with Chinese Medical Knowledge

Haochun Wang*, Chi Liu*, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu

arXiv 2023 paper

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature

Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin

arXiv 2023 paper

Prompt Learning

Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification

Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu

AAAI 2024 paper code

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words

Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu

COLING 2022 paper code

Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making

Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin

EMNLP 2023 Findings paper

Global Prompt Cell: A Portable Control Module for Effective Prompt

Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin

NLPCC 2023 paper

AI + Cognitive Science

UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language

Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu

ACL 2023 Honorable Mention paper code

AI + Pharmaceutical Science

MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views

Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu

IJCNN 2025 paper

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts

Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin

AAAI 2024 paper code

From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery

Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin

AAAI 2024 paper code

Services

Conference Reviewer: AAAI, ACL, ARR, CoLM, EMNLP, ICML, ICLR, NeurIPS

Projects

Key technologies and applications of genomic data analysis and interpretation of large models. 2023–2026.
Ministry of Science and Technology, CHINA — Human-machine Integration Consultation. 2021–2024.
Huawei — Prompt Learning Research Project. 2022–2023.
Chinaso — Weibo Event Extraction Project. 2019–2020.
Australia Arrow Energy — Mine Data Analysis. 2018–2019.