I'm currently an Asst. Prof. in ECE, AU. I was a Research Assoc. Prof. in USTC from 2021 to 2023. Before that, I was a PostDoc at CS, Univ. of Helsinki, where I got my PhD in 2020 mainly funded by EU Marie Curie ITN. My research interests focus on building Trustworthy AI-XR systems, especially regarding efficiency, privacy, and fairness. I have publications as the corresponding author on Ubicomp, ICPP, WWW, WSDM, RecSys, ECCV, MM, PIEEE, etc., and served as TPC for AAAI, IJCAI, MM, ISMAR, etc. I have an open position for a PhD student on multimodal learning, drop me an email if you are interested in working with me.
I focus on building trustworthy extended reality (XR) backed by advanced AI algorithms, to guarantee the efficiency, fairness, and privacy of XR systems.
Here are a few recent XR works (as corresponding author):
Unleashing GPT on the Metaverse: Savior or Destroyer? Proceedings of the IEEE
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling, ECCV 2024
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing, ECCV 2024
5G MEC Computation Handoff for Mobile Augmented Reality, IEEE MetaCom 2024
Check the full list on the topic.
Here are a few recent TAI works that can be applied to XR systems (as corresponding author):
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation, ACM WSDM 2025 (acceptance rate: 17.3%)
FedLoCA: Low-Rank Coordinated Adaptation with Knowledge Decoupling for Federated Recommendations, ACM RecSys 2024 (acceptance rate: 22%)
Heterogeneity-Aware Federated Deep Multi-View Clustering towards Diverse Feature Representations, ACM Multimedia 2024 (acceptance rate: 26%)
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential, ACL Findings 2024 (acceptance rate: 22.1%)
