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Resume (English only)
Academic Achievements
Published multiple papers, such as 'T-Recs: Transparency Reconstruction from Single-view Fusion' (Humanoids 2023), 'TransNet: Transparent Object Manipulation Through Category-Level Pose Estimation' (ECCV workshop 2022), 'VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation' (NeuIPS 2022), 'ClearPose: Large-scale Transparent Object Dataset and Benchmark' (ECCV 2022), 'ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception' (IROS 2022).
Research Experience
Worked as a research engineer on self-driving truck localization at TuSimple (summer 2020); interned as an applied scientist at Amazon Lab 126 (summer 2022). Main research areas include transparent object reconstruction, transparent object manipulation, and benchmarks for vision-and-language manipulation tasks.
Education
PhD in Robotics from the University of Michigan, Ann Arbor, under the supervision of Prof. Chad Jenkins; previously conducted research in the soft robotics group led by Prof. Xiaoping Chen at the University of Science and Technology of China.
Background
Research Interests: Combining robotics and NLP to realize more intelligent general-purpose AI systems. Currently working as a research scientist at ProtagoLabs.AI.