Linlian Jiang
Email: jiangll21@mails.jlu.edu.cn
Updated in August 2026.


I am a researcher at Mila and Concordia University (since Fall 2024), under the supervision of Prof. Yang Wang and Prof. Xinxin Zuo. Before that, I was a member of the Intelligent Content Learning (ICL) Lab at Jilin University, advised by Prof. Rui Ma.

My research focuses on generalization and adaptation in 3D systems across domains, sensors, representations, and environments, with applications in spatial intelligence, embodied AI and robotics, and autonomous driving.

profile photo

(* denotes co-first authors, † denotes corresponding author)

Under Review
TRACE-GS: On-Policy Trajectory Distillation with Privileged Geometric Conditioning for Sparse-View 3DGS Restoration
Linlian Jiang, Yuchen Xi, Sadman Rakib Pinon, Ruigang Yang, Yang Wang†, Xinxin Zuo†
[Paper] [Project]
ReCAP: Recursive Prompting for Self-Supervised Category-Level Articulated Pose Estimation from an Image
Linlian Jiang, Zhixiang Chi, Ye Wang, Ziqiang Wang, Rui Ma, Yang Wang†, Xinxin Zuo†
[Openreview] [Code]
Selected Publications
HierT2S: Enhancing Part-Level Text-to-Shape Generation via Hierarchical Structure Modeling
Linlian Jiang*, Xinxin Zuo*, Peng Zheng, Yibo Zhang, Yang Wang, Rui Ma†
The Visual Computer, 2026.
[Journal] [Openreview] [Code]
No Adaptation Without Observation: Observability-Constrained Test-Time Prompt Tuning for LiDAR Semantic Segmentation
Linlian Jiang, Wentao Ju, Sadman Rakib Pinon, Jianwei Xian, Zhixiang Chi, Xinxin Zuo†, Yang Wang†
IROS, 2026.
[Paper] [Code] [Project]
FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting
Tianhao Xie*†, Linlian Jiang*, Xinxin Zuo, Yang Wang, Tiberiu Popa
CVPR (Findings), 2026.
[Paper] [Code] [Project]
PointMAC: Meta-learned Adaptation for Robust Test-time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo†, Yang Wang†
NeurIPS, 2025.
[Paper] [Code] [Project]
P2M2-Net: Part-Aware Prompt-Guided Multimodal Point Cloud Completion
Linlian Jiang, Pan Chen, Ye Wang, Rui Ma†
CAD/Graphics, 2023 (Best Poster Award).
[Paper]

Selected Awards

Mila Industry AI/ML Mentorship Grant, Université de Montréal (UdeM), 2026.

ICML 2026 Silver Reviewer, 2026.

Conference and Exposition Allowance, Concordia University, Canada, 2025, 2026.

NECTAR Track Spotlight, Canadian Conference on AI, Robots & Vision (AI/CRV), 2026.

NeurIPS Scholar Award, 2025.

Split Graduate Fellowship (GCS), Concordia University, Canada, 2024.

National Second Prize, China Graduate Artificial Intelligence Innovation Competition, Huawei, 2023.

Jilin University Academic Achievement Scholarship, Jilin University, China, 2023.

Best Poster Award, CCF CAD/Graphics, 2023.

Outstanding Youth League Member, Jilin University, China, 2022.

Honourable Mention, Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling (MCM/ICM), USA, 2019.

Second Prize Award, National College Student Market Research Competition, Hunan Province, China, 2019.

Third Prize Award, China Undergraduate Mathematical Contest in Modeling, Hunan Province, China, 2018.

Academic Service

AAAI 2027, NeurIPS 2026 Creative AI Track, NeurIPS 2026, ECCV 2026, ICML 2026, CVPR 2026, ICLR 2025-2026

Transactions on Visualization and Computer Graphics (TVCG)
IEEE Transactions on Multimedia (TMM)


Misc.

I am also a student mentor in Mila’s Industry AI/ML program, so feel free to drop me a line if you want to chat about research or team up on something. Outside of research, I am into swimming, dopamine detox, combat sports, and good food.