Portrait of Haoliang Zhou

Ph.D. Candidate · Multimodal Learning · Computer Vision

Haoliang Zhou 周浩樑

I am currently a second-year Ph.D. student at IMAC Lab, Tianjin University of Technology, supervised by Prof. Changsheng Xu and Prof. Feifei Zhang.

Before that, I received the B.S. and M.S. degrees from Jiangsu University of Science and Technology, advised by Prof. Shucheng Huang in 2021 and 2024, respectively.

Research Focus

My current research focus

Composed Image Retrieval

Retrieving images from multimodal instructions that combine visual references and natural language modifications.

Multimodal Large Language Models

Exploring perception, grounding, and reasoning paths for visual-language systems with richer interaction signals.

Test-Time Adaptation

Improving model behavior after deployment through uncertainty-aware, continual, and reinforcement-style adaptation.

Affective Computing

Modeling facial and micro-expression cues through cross-modal prompts, contrastive learning, and uncertainty estimates.

News

Recent highlights

🎉🎉 One paper is accepted by the IEEE TMM journal. (SCI, Q1, IF=9.7, CCF-A)

🎉🎉 I am supported by China Association for Science and Technology Talent Cultivation Project.

🎉🎉 One paper is accepted by the Artificial Intelligence Review journal. (SCI, Q1, IF=13.9)

🎉🎉 One paper is accepted by the AAAI 2026 conference. (CCF-A)

🎉🎉 One paper is accepted by the IEEE TIP journal. (SCI, Q1, IF=13.7, CCF-A)

🎉🎉 Two papers are accepted by the Neurocomputing journal. (SCI, Q1, IF=6.5)

🎉🎉 One paper is accepted by the IEEE TCSVT journal. (SCI, Q1, IF=11.1, CCF-B)

🎉🎉 I am awarded National Scholarship.

Publications

Selected papers

AAAI 2026
TTRLDR Overview

Duplex Rewards Optimization for Test-Time Composed Image Retrieval

Haoliang Zhou⭐️, Feifei Zhang, Changsheng Xu
The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026)
IEEE TMM 2026
MMCIR Overview

Enhancing Representation Inversion and Alignment for Zero-Shot Composed Image Retrieval

Feifei Zhang, Jia Chen, Haoliang Zhou, Changsheng Xu
IEEE Transactions on Multimedia (TMM 2026), SCI, JCR Q1, IF=9.7, CCF-A
AI Review 2026
EACLIP Overview

Emotion-aware Adaptation of CLIP model for Facial Expression Recognition

Jing Huan, Mingxing Li, Haoliang Zhou
Artificial Intelligence Review (2025), SCI, JCR Q1, IF=13.9
IEEE TIP 2025
U2CAR Overview

Dual Uncertainty-aware Correspondence Adapting and Retaining for Continual Composed Image Retrieval

Haoliang Zhou⭐️, Feifei Zhang, Changsheng Xu
IEEE Transactions on Image Processing (TIP 2025), SCI, JCR Q1, IF=13.7, CCF-A
NEUCOM 2025
PSN Overview

PSN: Parallel Spatiotemporal Network to Recognize Micro-Expression

Jingting Li, Sujing Wang, Yong Wang, Haoliang Zhou, Xiaolan Fu
Neurocomputing (2025), SCI, JCR Q1, IF=6.5
IEEE TCSVT 2024
CEPrompt Overview

CEPrompt: Cross-Modal Emotion-Aware Prompting for Facial Expression Recognition

Haoliang Zhou⭐️, Shucheng Huang, Feifei Zhang, Changsheng Xu
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2024), SCI, JCR Q1, IF=11.1, CCF-B
NEUCOM 2024
UAFER Overview

UA-FER: Uncertainty-aware Representation Learning for Facial Expression Recognition

Haoliang Zhou⭐️, Shucheng Huang, Yuqiao Xu
Neurocomputing (2024), SCI, JCR Q1, IF=6.5
NEUCOM 2024
DVSCL Overview

Micro-Expression Recognition using Dual-View Self-Supervised Contrastive Learning with Intensity Perception

Jingting Li, Haoliang Zhou, Yu Qian, Zizhao Dong, Sujing Wang
Neurocomputing (2024), SCI, JCR Q1, IF=6.5
MMSJ 2024
INCEPTR Overview

CA-CLIP: Category-aware Adaptation of CLIP Model for Few-Shot Class-Incremental Learning

Yuqiao Xu, Haoliang Zhou, Shucheng Huang
Multimedia Systems (2024), SCI, JCR Q1, IF=3.5
MMSJ 2023
INCEPTR Overview

IncepTR: Micro-Expression Recognition Integrating Inception-CBAM and Vision Transformer

Haoliang Zhou⭐️, Shucheng Huang, Yuqiao Xu
Multimedia Systems (2023), SCI, JCR Q1, IF=3.5
Entropy 2023
DUALATME Overview

Dual-ATME: Dual-branch Attention Network for Micro-Expression Recognition

Haoliang Zhou⭐️, Shucheng Huang, Jingting Li, Sujing Wang
Entropy (2023), SCI, JCR Q2, IF=2.1

Educations

Educations

Ph.D. Tianjin University of Technology, Computer Science and Technology.

M.S. Jiangsu University of Science and Technology, Software Engineering.

V.S. California State University San Bernardino, Management Information System.

B.S. Jiangsu University of Science and Technology, Information Management and Information System.

Honors and Awards

Honors and Awards

2024.12

Tianjin University of Technology, First-Class Academic Scholarship.

2024.06

Jiangsu University of Science and Technology, Outstanding Graduate (Top 3%), First-Class Academic Scholarship.

2023.12

China National Scholarship (Top 3%).

2023.10

Jiangsu University of Science and Technology, Outstanding Postgraduate Pacesetter (Top 1.5%), First-Class Academic Scholarship.

2022.10

Jiangsu Province Postgraduate Mathematical Modeling Competition, Provincial Third Prize.

2022.10

China University Computer Competition Network Technology Challenge, Provincial Third Prize.

2021.06

Jiangsu University of Science and Technology, Outstanding Graduate (Top 3%), First-Class Academic Scholarship.

Internships

Research Experience

Service

Services and Activities

IEEE TPAMI/TCSVT/TMM, Information Sciences, MMSJ, SPIC, AJSE, SIVP.

IEEE CVPR/ICCV/ICME, AAAI, ACM MM, ChinaMM.

Projects

Other Project

Micro Expression Recognition based on Transformer and Cross Modal Feature Fusion

Jiangsu Postgraduate Scientific Research Innovation Plan Project, Project Leader.

Incremental Retrieval for Cross-Media Query

National Natural Science Foundation of China, Member.

Pedestrian Detection via Robust Object Appearance Modeling

National Natural Science Foundation of China, Member.

Visual Tracking via Robust Object Appearance Modeling

National Natural Science Foundation of China, Member.

MVC-based Software Design and Development of Employment App

Jiangsu Student Innovation and Entrepreneurship Program, Member.

Open to Collaboration

Let us talk about multimodal learning, retrieval, and explicable AI.