Qianyue Bao

About Me

I am a Ph.D. student at Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education (IPIU), School of Artificial Intelligence, Xidian University and advised by Prof. Fang Liu and Prof. Licheng Jiao.

Research Interests

My current research lies in Multi-Modality Understanding and Video Analysis. My research areas involve:

Video Analysis: Video Anomaly Detection, Action Recognition, Video Captioning
Visual-Language Analysis: Multimedia Event Extraction, Grounded Situation Recognition
Reinforcement Learning: Reinforcement Learning in Visual-Language Community
Zero-Shot Inference: Zero-Shot Image Captioning, Zero-Shot Video Captioning

News

[Aug. 2025] My paper about Reinforcement Learning and Zero-Shot Captioning is accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)!
[Jun. 2025] My paper about Zero-Shot Image Captioning is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)!
[Jun. 2025] Our paper about Grounded Situation Recognition is accepted by IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Congrats to Yang!
[Feb. 2025] My paper about Video Anomaly Captioning is accepted by IEEE Transactions on Multimedia (TMM)!
[Feb. 2025] Our paper about Compositional Action Recognition is accepted by Pattern Recognition (PR), Congrats to Yang!
[May. 2024] Our paper about Multimedia Event Extraction is accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Congrats to Yang!
[Mar. 2024] Our paper about Causal Inference is accepted by IEEE Transactions on Multimedia (TMM), Congrats to Yang!
[Jul. 2022] My first paper about Video Anomaly Detection is accepted by ACM MM 2022.

Publications

TPAMI

Visual-Language Scene-Relation-Aware Zero-Shot Captioner

Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Puhua Chen

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
TCSVT

ERFC: Energy-Aware Reinforcement Feedback Calibration for Zero-shot Captioning

Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
TNNLS

Chain-of-Situation Aware Progressive Inference Learning

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Shuo Li, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025.
TMM

Anomaly-Led Prompting Learning Caption Generating Model and Benchmark

Qianyue Bao, Fang Liu, Licheng Jiao, Yang Liu, Shuo Li, Lingling Li, Xu Liu, Xinyi Wang, Baoliang Chen

IEEE Transactions on Multimedia (TMM), 2025.
PR

Knowledge-Driven Compositional Action Recognition

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Shuo Li, Lingling Li, Xu Liu

Pattern Recognition (PR), 2025.
TCSVT

Multi-grained Gradual Inference Model for Multimedia Event Extraction

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024.
TMM

A Knowledge-based Hierarchical Causal Inference Network for Video Action Recognition

Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen

IEEE Transactions on Multimedia (TMM), 2024.
ACM MM

Hierarchical Scene Normality-Binding Modeling for Anomaly Detection in Surveillance Videos

Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu, Lingling Li

ACM International Conference on Multimedia (ACM MM), 2022.

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