✨ About Me

I am currently a first-year member of MM Lab, The Chinese University of Hong Kong, under the supervision of Prof. Hongsheng Li. My research interests primarily lie in multimodal learning, computer vision, generative AI, as well as world modeling.

Before that, I received my master’s degree from the School of Computer Science and Technology, Xi’an Jiaotong University, supervised by Prof. Heli Sun. During my time at XJTU, I was recognized as a 2025 Outstanding Graduate Student of XJTU (Top 15 Master Students) and as a 2026 “Qihang Role” Graduate Student (Top 10 Graduate Students), which are the highest honors for enrolled and graduating students of XJTU. I have published multiple first-author, co-first-author, and corresponding-author papers at top-tier CV/NLP/AI venues, including CVPR, ECCV, ACM MM, EMNLP, ACL, IEEE TCSS, and IEEE TGRS. Meanwhile, I led the GenAI Group of XJTU SunFlower Lab and supervised multiple master’s and undergraduate students to publish papers at hot venues such as ACM MM, ECCV, IJCAI, IEEE ICME, IEEE SMC, and IJCNN.

In 2023, I received my bachelor’s degree from the School of Cyber Science and Engineering, Zhengzhou University, under the supervision of Prof. Junxiao Xue (PI, Zhejiang Lab and Zhejiang University). At ZZU, I was recognized as the 2022-2023 Self-Improvement Star of Chinese College Students (awarded to only one undergraduate student at ZZU) and Individual of ZZU Story.

As a native student from Henan Province, and out of gratitude to my hometown and alma mater, I am strongly motivated to support students from ZZU. I led the eMotionAI Lab of ZZU Students Innovative Entrepreneurial Base (North Campus), where I guided multiple talented undergraduate students to pursue their Ph.D. or master’s degrees at awesome Chinese universities, including USTC, HIT, UCAS, RUC, XJTU, NWPU, XDU, NUDT, as well as ZZU.

During the 2026 autumn recruitment season, I have also been recognized by several AI companies through talent programs, including ByteDance’s Soaring Star Talent Program and Xiaomi Group’s Future Star Talent Program.

My CSDN technological blogs are located HERE. Please feel free to contact me if you are interested in my works and potential collaborations 🙌.

🔬 Research Interests

• World Models and Embodied AI: omni-modal world simulation, predictive modeling, and physically-grounded agents.
• Multimodal Large Language Models (MLLMs): unified large multimodal models, vision-language model, and visual-interleaved CoT reasoning.
• Agentic AI: agentic evaluation, reliable long-horizon multimodal decision making.
• Audio-Visual Video Generation and Understanding: audio-visual representation learning, affective video analysis, and controllable video generation.
• Multimodal Safety and Trustworthiness: deepfake detection, hallucination detection, and red teaming for LLMs.

💐 Research Goal

I am interested in developing a Predictive Brain framework through a Primitives-to-Synergy suite, empowering embodied agents with omni-modal world simulation to bridge the cognitive-physical gap toward reliable and physically-grounded AGI.

🔥 News

🎓 Education

• 2026.09 - 2030.07 (Expected), Ph.D. Candidate in Artificial Intelligence, Department of Electronic Engineering, The Chinese University of Hong Kong. Supervisor: Prof. Hongsheng Li.
• 2023.09 - 2026.07, M.Eng. in Computer Technology, School of Computer Science and Engineering, Xi’an Jiaotong University. GPA: 3.8/4.0, Rank: 1/191. Supervisor: Prof. Heli Sun.
• 2019.09 - 2023.07, B.Eng. in Internet of Things Engineering, School of Cyber Science and Engineering, Zhengzhou University. GPA: 3.5/4.0, Rank: 3/237. Supervisor: Prof. Junxiao Xue.

💼 Internships

• 2026.07 - Present, Research Intern, ACE Rebotics, SenseTime.
  • Worked on VLM-conditioned world action models and other embodied AI techniques.
• 2026.04 - 2026.07, Research Intern of Soaring Star Talent Program, Data-Douyin, ByteDance.
  • Worked on AI-native Agent-driven frontier exploration for multimodal large language models.
• 2025.05 - 2025.12, Research Intern of Soaring Star Talent Program, Data-Douyin, ByteDance.
  • Worked on hierarchical interleaved augmented unified large multimodal models, reward quantification for visual text rendering, dynamic data mixture for LLM pre-training, and universal document parsing VLMs.
• 2025.01 - 2025.05, Research Intern, LongCat Foundational Model Team, Meituan-M17.
  • Worked on visual-interleaved CoT evaluation for MLLMs, multimodal distillation for hallucination/factuality detection, LLM red teaming, and text-to-image alignment assessment.

📝 Selected Publications

^* indicates equal contribution; ✉ indicates corresponding author.

CVPR 2025

1. AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning
Xuecheng Wu, Heli Sun✉, Yifan Wang, Jiayu Nie, Jie Zhang, Yabing Wang, Junxiao Xue, Liang He

IEEE/CVF CVPR 2025 [CCF-A]
Code

ACM MM 2025

2. HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training
Xuecheng Wu, Heli Sun✉, Danlei Huang, Xinyi Yin, Yifan Wang, Hao Wang, Jia Zhang, Fei Wang, Peihao Guo, Suyu Xing, Junxiao Xue, Liang He

ACM MM 2025 [CCF-A]

IEEE TGRS 2025

3. Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM
Junxiao Xue^*, Quan Deng^*, Xuecheng Wu^*, Kelu Yao, Xinyi Yin, Fei Yu, Wei Zhou, Yanfei Zhong, Yang Liu, Dingkang Yang

IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025 [CCF-B]

ACM MM 2024

4. Building Robust Video-Level Deepfake Detection via Audio-Visual Local-Global Interactions
Yifan Wang^*, Xuecheng Wu^*, Jia Zhang, Mohan Jing, Keda Lu, Jun Yu, Wen Su, Fang Gao, Qingsong Liu, Jianqing Sun, Jiaen Liang

ACM MM 2024 [CCF-A]

ACM MM 2025

5. HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs
Zijian Zhang^*, Xuecheng Wu^*, Danlei Huang, Siyu Yan, Chong Peng, Xuezhi Cao

ACM MM 2025 [CCF-A]

Submitted to IEEE TIP 2025

6. ViC-Bench: Benchmarking Visual-Interleaved Chain-of-Thought Capability in MLLMs with Free-Style Intermediate State Representations
Xuecheng Wu, Jiaxing Liu, Danlei Huang, Yifan Wang, Yunyun Shi, Kedi Chen, Junxiao Xue, Yang Liu, Chunlin Chen, Hairong Dong, Dingkang Yang

Submitted to IEEE TIP 2025 [CCF-A]
Dataset

ACM ICMR 2025

7. Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline
Xuecheng Wu, Heli Sun✉, Junxiao Xue, Jiayu Nie, Xiangyan Kong, Ruofan Zhai, Danlei Huang, Liang He

ACM ICMR 2025 [CCF-B]
Code

Intelligent Computing 2026

8. Scalable Audio-Visual Masked Autoencoders for Efficient Affective Video Facial Analysis
Xuecheng Wu, Junxiao Xue, Xinyi Yin, Yunyun Shi, Liangyu Fu, Danlei Huang, Yifan Wang, Jia Zhang, Jiayu Nie, Jun Wang

Intelligent Computing 2026

CVPR 2026

9. ProFocus: Proactive Perception and Focused Reasoning in Vision-and-Language Navigation
Wei Xue, Mingcheng Li, Xuecheng Wu, Jingqun Tang, Dingkang Yang, Lihua Zhang

IEEE/CVF CVPR 2026 [CCF-A]

CVPR 2026

10. Textpecker: Rewarding Structural Anomaly Quantification for Enhancing Visual Text Rendering
Hanshen Zhu, Yuliang Liu, Xuecheng Wu, An-Lan Wang, Hao Feng, Dingkang Yang, Chao Feng, Can Huang, Jingqun Tang, Xiang Bai

IEEE/CVF CVPR 2026 [CCF-A]

CVPR 2026

11. Beyond Pixel Simulation: Pathology Image Generation via Diagnostic Semantic Tokens and Prototype Control
Minghao Han, YiChen Liu, Yizhou Liu, Zizhi Chen, Jingqun Tang, Xuecheng Wu, Dingkang Yang, Lihua Zhang

IEEE/CVF CVPR 2026 [CCF-A]

arXiv 2026

12. AIM-Bench: Benchmarking and Improving Affective Image Manipulation via Fine-Grained Hierarchical Control
Shi Chen^*, Xuecheng Wu^*, Heli Sun, Yunyun Shi, Xinyi Yin, Fengjian Xue, Jinheng Xie, Dingkang Yang, Hao Wang, Junxiao Xue, Liang He

arXiv 2026

ECCV 2026

13. FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing
Fengjian Xue^*, Xuecheng Wu^*, Heli Sun, Yunyun Shi, Shi Chen, Liangyu Fu, Jinheng Xie, Dingkang Yang, Hao Wang, Junxiao Xue, Liang He

ECCV 2026 [CCF-B]

IEEE SMC 2026

14. AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning
Junxiao Xue, Quan Deng, Tingqi Hu, Meicong Si, Xinyi Yin, Yunyun Shi, Xuecheng Wu✉

IEEE SMC 2026 [CCF-C]

Submitted to IEEE TCSS 2026

15. MooD: Perception-Enhanced Efficient Affective Image Editing via Continuous Valence-Arousal Modeling
Xinyi Yin, Yiduo Wang, Tingqi Hu, Meicong Si, Yunyun Shi, Shi Chen, Hao Wang, Junxiao Xue, Xuecheng Wu✉

Submitted to IEEE TCSS 2026

ICME 2026

16. Disentangling Hardness from Noise: An Uncertainty-Driven Model-Agnostic Framework for Long-Tailed Remote Sensing Classification
Chi Ding, Junxiao Xue, Xinyi Yin, Shi Chen, Yunyun Shi, Yiduo Wang, Fengjian Xue, Xuecheng Wu✉

IEEE ICME 2026 [CCF-B]

arXiv 2026

17. RePose: A Real-Time 3D Human Pose Estimation and Biomechanical Analysis Framework for Rehabilitation
Junxiao Xue, Pavel Smirnov, Ziao Li, Yunyun Shi, Shi Chen, Xinyi Yin, Xiaohan Yue, Lei Wang, Yiduo Wang, Feng Lin, Yijia Chen, Xiao Ma, Xiaoran Yan, Qing Zhang, Fengjian Xue, Xuecheng Wu✉

arXiv 2026

IJCNN 2025

18. FAMNet: Integrating 2D and 3D Features for Micro-expression Recognition via Multi-task Learning and Hierarchical Attention
Liangyu Fu, Xuecheng Wu✉, Danlei Huang, Xinyi Yin

IJCNN 2025 [CCF-C]

IJCNN 2025

19. TACR-YOLO: A Real-time Detection Framework for Abnormal Human Behaviors Enhanced with Coordinate and Task-Aware Representations
Xinyi Yin, Wenbo Yuan, Xuecheng Wu✉, Liangyu Fu, Danlei Huang

IJCNN 2025 [CCF-C]

IEEE SMC 2025

20. 3A-YOLO: New Real-time Object Detectors with Triple Discriminative Awareness and Coordinated Representations
Xuecheng Wu, Junxiao Xue, Liangyu Fu, Jiayu Nie, Danlei Huang, Xinyi Yin, Tingqi Hu

IEEE SMC 2025 [CCF-C]

Other Publications

1. JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems.
   Yifan Wang^*, Jian Zhao^*, Zhaoxin Fan✉, Xin Zhang, Xuecheng Wu, Yudian Zhang, Lei Jin, Xinyue Li, Gang Wang✉, Mengxi Jia, Ping Hu, Zheng Zhu, Xuelong Li. IEEE/CVF CVPR 2025 [CCF-A].
2. MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models.
   Siyu Yan, Long Zeng, Xuecheng Wu, Chengcheng Han, Kongcheng Zhang, Chong Peng, Xuezhi Cao, Xunliang Cai, Chenjuan Guo. EMNLP 2025 [CCF-B].
3. A Survey of Inductive Reasoning for Large Language Models.
   Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang. ACL Main 2026 [CCF-A].
4. Improving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection.
   Dingkang Yang, Mingcheng Li, Xuecheng Wu, Zhaoyu Chen, Kaixun Jiang, Keliang Liu, Peng Zhai, Lihua Zhang. arXiv 2026.
5. Dolphin-v2: Universal Document Parsing via Scalable Anchor Prompting.
   Hao Feng, Wei Shi, Ke Zhang, Xiang Fei, Lei Liao, Dingkang Yang, Yongkun Du, Xuecheng Wu, Jingqun Tang, Yang Liu, Hong Chen, Can Huang. arXiv 2026.
6. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training.
   Yifan Wang, Binbin Liu, Fengze Liu, Yuanfan Guo, Jiyao Deng, Xuecheng Wu, Weidong Zhou, Xiaohuan Zhou, Taifeng Wang. ACL Main 2026 [CCF-A].
7. Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning.
   Haiyang Yu, Yuchuan Wu, Fan Shi, Lei Liao, Jinghui Lu, Xiaodong Ge, Han Wang, Minghan Zhuo, Xuecheng Wu, Xiang Fei, Hao Feng, Guozhi Tang, An-Lan Wang, Hanshen Zhu, Yangfan He, Quanhuan Liang, Liyuan Meng, Chao Feng, Can Huang, Jingqun Tang, Bin Li. arXiv 2025.
8. TokenFocus-VQA: Enhancing Text-to-Image Alignment with Position-Aware Focus and Multi-Perspective Aggregations on LVLMs.
   Zijian Zhang, Xuhui Zheng^*, Xuecheng Wu^*, Chong Peng, Xuezhi Cao. IEEE/CVF CVPRW 2025 [CCF-A].
9. DDSE: A Decoupled Dual-Stream Enhanced Framework for Multimodal Sentiment Analysis with Text-Centric SSM.
   Shenjie Jiang, Zhuoyu Wang^*, Xuecheng Wu^*, Hongru Ji, Mingxin Li, Xianghua Li, Chao Gao. ACM MM 2025 [CCF-A].
10. AD-AVSR: Asymmetric Dual-stream Enhancement for Robust Audio-Visual Speech Recognition.
    Junxiao Xue, Xiaozhen Liu, Xuecheng Wu, Xinyi Yin, Danlei Huang, Fei Yu. ACM MM SVC Workshop 2025.
11. Affective Video Content Analysis: Decade Review and New Perspectives.
    Junxiao Xue, Jie Wang✉, Xiaozhen Liu, Qian Zhang, Xuecheng Wu. Big Data Mining and Analytics 2024.
12. PTSR: A Unified Patch Tokenization, Selection and Representation Framework for Efficient Micro-expression Recognition.
    Liangyu Fu, Junbo Wang, Qiangguo Jin, Yining Zhu, Hongsong Wang, Yuke Li, Xuecheng Wu, Kun Hu. ACM ICMR 2025 [CCF-B].
13. A Trustworthy Method for Multimodal Emotion Recognition.
    Junxiao Xue, Xiaozhen Liu, Jie Wang, Xuecheng Wu, Bin Wu. Big Data Mining and Analytics 2026.
14. DARTs: A Dual-Path Robust Framework for Anomaly Detection in High-Dimensional Multivariate Time Series.
    Xuechun Liu, Heli Sun, Xuecheng Wu, Ruichen Cao, Yunyun Shi, Dingkang Yang, Haoran Li. arXiv 2025.
15. Code-driven Number Sequence Calculation: Enhancing the Inductive Reasoning Abilities of Large Language Models.
    Kedi Chen, Zhikai Lei, Xu Guo, Xuecheng Wu, Siyuan Zeng, Jianghao Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang. arXiv 2025.
16. End4: End-to-end Denoising Diffusion for Diffusion-Based Inpainting Detection.
    Fei Wang, Xuecheng Wu, Zheng Zhang, Danlei Huang, Yuheng Huang, Bo Wang. arXiv 2025.
17. InfoSyncNet: Information Synchronization Temporal Convolutional Network for Visual Speech Recognition.
    Junxiao Xue, Xiaozhen Liu, Xuecheng Wu, Fei Yu, Jun Wang. IJCNN 2025 [CCF-C].
18. MirrorDiff: Learning Mirror Diffusion for Image Captioning via Regeneration.
    Junbo Wang, Liangyu Fu, Yining Zhu, Qiangguo Jin, Hongsong Wang, Yuke Li, Xuecheng Wu, Kun Hu✉. ACM ICMR 2025 [CCF-B].
19. DELTA: Disentangled Hierarchical Interaction and Adaptive Adjustment for Emotion and Intent Understanding in Multimodal Conversations.
    Shenjie Jiang, Xiangfeng Liu, Xianghua Li, Xuecheng Wu. IJCAI 2026 [CCF-B].
20. EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition.
    Junbo Wang, Liangyu Fu, Yuke Li, Yining Zhu, Xuecheng Wu, Kun Hu. arXiv 2026.
21. DiffVC: A Non-autoregressive Framework Based on Diffusion Model for Video Captioning.
    Junbo Wang, Liangyu Fu, Yuke Li, Yining Zhu, Ya Jing, Xuecheng Wu, Jiangbin Zheng. arXiv 2026.
22. TR-ICRL: Test-Time Rethinking for In-Context Reinforcement Learning.
    Wenxuan Jiang, Yuxin Zuo, Zijian Zhang, Xuecheng Wu, Zining Fan, Wenxuan Liu, Li Chen, Xiaoyu Li, Xuezhi Cao, Xiaolong Jin, Ninghao Liu. arXiv 2026.
23. V2X-RECT: An Efficient V2X Trajectory Prediction Framework via Redundant Interaction Filtering and Tracking Error Correction.
    Xiangyan Kong, Xuecheng Wu, Xiongwei Zhao, Xiaodong Li, Yunyun Shi, Gang Wang, Dingkang Yang, Yang Liu, Hong Chen, Yulong Gao. arXiv 2025.
24. DSACap: Enhancing Visual-Semantic Alignment with Diffusion-based Framework for Image Captioning.
    Liangyu Fu, Junbo Wang, Yuke Li, Qiangguo Jin, Hongsong Wang, Jing Ya, Linjiang Huang, Liang Yao, Jiangbin Zheng, Xuecheng Wu, Zhiyong Wang. ACM MM 2025 [CCF-A].

25. A Benchmark of Microvideos for Public Opinion Analysis.
    Junxiao Xue, Jie Wang, Xiaozhen Liu, Peifu Yang, Xuecheng Wu, Bin Wu. IEEE TCSS 2025.

26. NTIRE 2025 Challenge on Text to Image Generation Model Quality Assessment.
    NTIRE 2025 T2I Quality Assessment Challenge Participants, including Xuecheng Wu. IEEE/CVF CVPR 2025 [CCF-A].

🏆 Awards

• Best Paper Honorable Mention Award for SVC Workshop @ ACM MM 2025.
• One Million Deepfakes++ Detection Grand Challenge, Winner @ ACM MM 2025.
• Truthful and Responsible Multimodal Learning Challenge, Winner @ ACM MM 2025.
• National Undergraduate Software Innovation Competition, First Prize in Northwest Division and National Third Prize, 2025.
• New Trends in Image Restoration and Enhancement (NTIRE) Challenge, Runner-up @ CVPR 2025.
• The 19th Chinese “Challenge Cup” National Undergraduate Academic Science and Technology Works Competition, National First Prize, 2024.
• “China Net Valley · Huawei Cup” China Graduate Cybersecurity Innovation Competition, National Third Prize, 2024.
• 1M-Deepfakes Detection Grand Challenge, Winner @ ACM MM 2024.
• “Huawei Cup” China Graduate Artificial Intelligence Innovation Competition, National Third Prize, 2024.
• China College Students Service Outsourcing Innovation and Entrepreneurship Competition, Provincial Second Prize and National Third Prize, 2024.
• China Collegiate Computing Contest - Network Technology Challenge, Provincial Second Prize, 2024.
• National College Student Information Security Contest, National Third Prize, 2022.
• National College Students Internet of Things Design Competition, Provincial First Prize and National Second Prize, 2022.
• China Collegiate Computing Contest - Network Technology Challenge, Provincial Second Prize and National Third Prize, 2022.
• College Student Innovation and Entrepreneurship Training Program, Key Project of Henan Provincial Department of Education and Zhengzhou University, Project PI, 2022.
• China College Students Computer Design Competition, Provincial Third Prize, 2022.
• National College Students Internet of Things Design Competition, Provincial First Prize and National Third Prize, 2021.
• China Collegiate Computing Contest - Network Technology Challenge, Provincial Third Prize, 2021.
• China College Students Computer Design Competition, Provincial Third Prize, 2021.
• “Challenge Cup” Undergraduate Academic Science and Technology Works Competition, Zhengzhou University Second Prize, 2021.
• National English Competition for College Students (NECCS), Provincial Excellence Award, 2020.

💖 Honors

• Excellent Master’s Thesis, Xi’an Jiaotong University, 2026. Link
• “Qihang Role” Graduate Student, Xi’an Jiaotong University (Awarded to Top 10 Graduate Students), 2026.
• First Prize, Xi’an Jiaotong University 37th “Tengfei Cup” Innovation and Entrepreneurship Competition, 2026.
• National Scholarship, Ministry of Education of the People’s Republic of China (National-Level Honor), 2025.
• Outstanding Graduate Student, Xi’an Jiaotong University (Awarded to Top 15 Master Students), 2025.
• Tencent Scholarship, 2025.
• ByteDance Soaring Star Talent Program, 2025.
• Xiaomi Future Star Talent Program, 2025.
• ROYALFLUSH INFO AIME Talent Program, 2025.
• Sangfor Technologies X-Star Talent Program, 2025.
• Special Scholarship for Graduate Students, Xi’an Jiaotong University, 2023-2024.
• Excellent Graduate Student, Xi’an Jiaotong University, 2023-2024.
• Inspur Group Outstanding Graduate Academic Scholarship, Xi’an Jiaotong University, 2023-2024.
• The Stars of Self-Improvement of Chinese College Students, National-Level Honor, 2023 (the only awardee from Zhengzhou University that year; ranked first in Henan Province). Link
• Freshman First Prize Scholarship for Graduate Students, Xi’an Jiaotong University, 2023.
• Outstanding Undergraduate Thesis, Zhengzhou University, 2023 (Top 1.4%).
• Outstanding Graduate, Zhengzhou University, 2023.
• Top-10 Outstanding Graduate, School of Cyber Science and Engineering, Zhengzhou University, 2023.
• First-Class Academic Scholarship, Zhengzhou University, 2022-2023.
• Campus Star, Zhengzhou University, 2022.
• MIXUE Ice Cream and Tea Scholarship, 2023.
• Merit Student, Zhengzhou University, 2021-2022.
• Outstanding Student Cadre, Zhengzhou University, 2021-2022.
• “Intelligent Base” Scholarship, Ministry of Education of the People’s Republic of China and Huawei Inc., 2022.
• National Encouragement Scholarship, National-Level Honor, 2021-2022.
• Civilized Dormitory of Universities in Henan Province, 2021 (Top 0.2%, Dormitory Leader).
• National Encouragement Scholarship, National-Level Honor, 2020-2021.
• Merit Student, Zhengzhou University, 2020-2021.

🌹 Academic Services

• Conference Reviewer: CVPR, ICCV, NeurIPS, WWW, CICAI, ACM MM, ICME, IEEE BigData, IJCNN, IEEE AVSS, IEEE SMC, EMNLP, AAAI, BMVC, ICML (Silver Reviewer), ECCV.
• Journal Reviewer: IEEE TMM, Knowledge-Based Systems (KBS), IEEE TKDE, Intelligent Computing, ACM TOMM, IEEE GRSL, IEEE TCSS.

🤝 Mentorship

As a native student from Henan Province, I am deeply eager to contribute to the development of students at my alma mater, Zhengzhou University. I have guided excellent undergraduates from eMotionAI Lab to enter graduate study through recommendation-based exemption or entrance examinations.

• 2024 Entrance: Liangyu Fu (Northwestern Polytechnical University), Mengli Dai (Harbin Institute of Technology), Qian Zhang (National University of Defense Technology), Rui Wang (Zhengzhou University).
• 2025 Entrance: Jie Li (University of Science and Technology of China), Puhao Liu (Northwestern Polytechnical University), Wenbo Yuan (Xidian University), Mengjia Wang (Zhengzhou University), Qi Zhang (Xi’an Jiaotong University), Liduo Wang (Renmin University of China).
• 2026 Entrance: Tiqing Hu (University of Chinese Academy of Sciences).