Algorithm R&D Intern @ ByteDance Douyin Search Group - 字节跳动抖音搜索
Develop searching strategies for Douyin.
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portfolio
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publications
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions
Yuxuan Wang, Zilong Zheng, Xueliang Zhao, Jinpeng Li, Yueqian Wang, Dongyan Zhao
Published in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A large-scale video dialogue corpus collected from TV series with scene and segment transistion annotation.
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LSTP: Language-guided Spatial-Temporal Prompt Learning for Long-form Video-Text Understanding
Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Zilong Zheng
Published in arXiv:2402.16050, 2024
Intergrating optical flow for relevant content selection to improve video-text LLMs’ abilities on videoqa.
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SMASH: Improving SMAll Language Models’ Few-SHot Ability with Prompt-Based Distillation
Yueqian Wang, Chang Liu, Kai Chen, Xi Wang, Dongyan Zhao
Published in Findings of the Association for Computational Linguistics: EMNLP, 2025
Prompt-based learning and distillation for small transformer encoder-based language models.
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Overview of the NLPCC 2023 Shared Task 10: Learn to Watch TV: Multimodal Dialogue Understanding and Response Generation
Yueqian Wang, Yuxuan Wang, Dongyan Zhao
Published in Natural Language Processing and Chinese Computing, 2025
Hosted a shared task about video dialogue understanding and prediction at NLPCC 2023.
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Understanding Multimodal Hallucination with Parameter-Free Representation Alignment
Yueqian Wang, Jianxin Liang, Yuxuan Wang, Huishuai Zhang, Dongyan Zhao
Published in arXiv, 2025
Proposed a parameter-free and training-free method for analyzing the quantity of information within image representations, and its applications in multimodal hallucination ascription.
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STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering
Yueqian Wang, Yuxuan Wang, Kai Chen, Dongyan Zhao
Published in AAAI Conference on Artificial Intelligence, 2025
A neural module network (NMN) based method for videoqa with long videos and complicated questions.
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VideoLLM Knows When to Speak: Enhancing Time-Sensitive Video Comprehension with Video-Text Duet Interaction Format
Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Jiansheng Wei, Huishuai Zhang, Dongyan Zhao
Published in arXiv, 2025
Proposed MMDuet, a video-text MLLM for real-time interaction, which autonomously decides its response timing during video playback, and its training dataset MMDuetIT.
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Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding
Yueqian Wang, Xiaojun Meng, Yuxuan Wang, Jianxin Liang, Qun Liu, Dongyan Zhao
Published in AAAI 2025, 2025
Defined tasks related to ``multimodal multi-party conversation understanding’, collected the Friends-MMC dataset from TV series, and introduced baseline models..
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HawkEye: Training Video-Text LLMs for Grounding Text in Videos
Yueqian Wang, Xiaojun Meng, Jianxin Liang, Yuxuan Wang, Qun Liu, Dongyan Zhao
Published in arXiv, 2025
One of the first video-text LLMs that can perform temporal video grounding in a fully text-to-text manner, and InternVid-G, a large-scale video-text dataset for video grounding training.
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talks
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teaching
TA @ Data Analysis in Python - Python 数据分析
Undergraduate course, Department of Information Management, Peking University
Data Analysis in Python is a programming course for undergraduates. The syllabus of this course includes commonly used statistical methods, machine learning algorithms, and data visualization methods, as well as their implementations in Python.
TA @ Introduction to Computation (B) - 计算概论（B）
Undergraduate course, School of Electronics Engineering and Computer Science, Peking University
Introduction to Computation （计算概论） is a programming course for junior undergraduates. The syllabus of this course includes basic programming skills in Python.