About Me

I am now a PhD candidate in Computer Science Department at The Hong Kong University of Science and Technology (HKUST), advised by Prof. Xiaofang Zhou. My current research focuses on enhancing 3D semantic search with spatial relationship reasoning. I am developing novel methods to enable robust 3DVG with explicit spatial relation modeling. My specific interest lies in improving performance on challenging spatial reasoning tasks for current LLM/VLMs. My broader interests include multimodal representation learning, large data systems, and embodied AI in 3D environments.

1 News

2026年9月26日 - 我们的工作《SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs》被NeurIPS2026接收!🎉🎉
2026年8月21日 - 恭喜《LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention》被EMNLP2026接收!
2026年4月7日 星期二- 恭喜《ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants》被ACL2026接收!
2025年9月26日 星期五 - 顺利通过了PhD Qualifying Exam, 正式成为PhD Candidate!🎉
2025年5月20日 星期二 - 所有课程结束, 感恩Machine Learning, Machine Learning for 3D 均拿到>= A.
2024年12月20日 星期五 - 2024秋季学期结束, 所有课程都高分通过, 课程压力大大减少了.
2024年9月4日 星期三 - 2024秋季学期开始，DSF-Spatiotemporal Analytics创建。
2024年7月2日 星期二 - 🎉我们的工作《High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering》被ECCV24接收！🎉
2024年6月5日 星期三 - 自从2005年后，HKUSTCSEDB大组的seminar正式恢复了！
2024年5月30日 星期四 - 2024春季学期课程终于结束了！！
2024年5月17日 星期五 - ECCV24的Rebuttal结束！！考试周开启！！

2 Publications

• SSR3D-LLM: Structured Spatial Reasoning via Latent Steps for Fine-Grained Grounding in Unified 3D-LLMs. NeurIPS 2026

• LoopGuard: Breaking Self-Reinforcing Attention Loops via Dynamic KV Cache Intervention. EMNLP 2026.

• ReTRE: Benchmarking LLM Transfer Robustness with Structure-Preserving Variants. ACL 2026.

• Ming, X., Li, J., Ling, J., Zhang, L., Xu, F. (2025). High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering. In: Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T., Varol, G. (eds) Computer Vision – ECCV 2024. ECCV 2024. Lecture Notes in Computer Science, vol 15128. Springer, Cham. https://doi.org/10.1007/978-3-031-72897-6_7

• Li, J., Lyu, L., Shi, J., Zhao, J., Xu, J., Gao, J., He, R., & Sun, Z. (2022). Generating community road network from GPS trajectories via style transfer. Proceedings of the 30th International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3557915.3560958

• A Semantic Segmentation based POI Coordinates Generating Framework for On-demand Food Delivery Service. In Proceedings of the 29th International Conference on Advances in Geographic Information Systems, pp. 379-388. 2021.

• Unclonable Photonic Crystal Hydrogels with Controllable Encoding Capacity for Anti-counterfeiting, ACS Applied Materials & Interfaces 2021, 14, 2369-2380.

• Spatial Technology Assessment of Green Space Exposure and Myopia. Ophthalmology. 129. 10.1016/j.ophtha.2021. 07.031.

• Factors influencing subspecialty choice among medical students: a systematic review and meta-analysis, BMJ Open Mar 2019, 9 (3) e022097

• Acceptance Sampling Plans with Type-I Hybrid Censoring Scheme of Weibull Distribution. Advances in Applied Mathematics.03.184-191.10. 12677/AAM.2014.34027.

3 Patent

[1]An Unsupervised Method for Trajectory Generating Road Network Based on Style Transfer

[2]A Route Mining Algorithm Based on Track Points

[3]A Method for Enhancing Natural Language Feature Extraction Model using Knowledge Graph