Research Assistant at USC (2026-04 – Present)
DriveReferee - Video Action Model Training and Evaluation. Toyota Research Institute collaboration. First author; Submitted to ICRA 2027
- Led Python/PyTorch training and evaluation for an 8B video-action generator conditioned on video history, ego state, and navigation; implemented reference-free pairwise flow-matching preference fine-tuning.
- Built geometric feedback from LQR tracking, kinematic bicycle rollouts, and footprint-boundary distances; used ground-truth maps to construct preference pairs and predicted maps to select trajectories at inference.
- Benchmarked ten methods on 12,146 NAVSIM scenes with six verdict sources and matched compute budgets; analyzed trajectory failures and measured FVD, LPIPS, and PSNR video quality.
Research Assistant at Sun Yat-sen University (2025-01 – 2025-06)
HouseTune - LLM Guided Conditional Diffusion. Co-author; AAAI 2026
- Contributed architecture and training/evaluation code combining LLM layout reasoning with conditional diffusion for physically constrained floorplan generation.
- Ran benchmark comparisons and ablations to assess generation quality and constraint satisfaction.
Research Assistant at Sun Yat-sen University (2024-03 – 2025-12)
OccLinker - Temporal 3D Occupancy Prediction. Co-first author; Pattern Recognition, Accepted
- Designed historical static-motion cross-attention for camera-based 3D occupancy prediction; owned PyTorch/MMDetection3D implementation, training, and evaluation across four backbones.
- Improved mIoU by up to 3.09 points and temporal consistency by up to 7.68 points; measured 10 ms added latency and 2.29% memory overhead.
Course Project at USC (2026-03 – 2026-05)
Edge FaaS - Runtime Optimization and Predictive Scaling. USC CSCI 599 course project
- Co-developed a C++/Python Linux serverless runtime using preloaded workers and copy-on-write, reducing worker startup from approximately 900 ms to 100 ms.
- Built automated burst-load trials and predictive scaling, reducing cold-start requests by 31% versus reactive scaling across five trials.
R&D Center Intern at Lingzong Technology (Shenzhen) Co., Ltd. (2024-07 – 2024-09)
- Modified multi-head SurroundOcc and SelfOcc camera-based perception models and compared spatial predictions across architecture variants.
Research Assistant at USC Networked Systems Laboratory (2025-10 – 2026-03)
CarGaze - Real-Time Multi-Camera Gaze Tracking. Co-author
- Integrated front/rear camera streams and geographic inputs; aligned timestamps within milliseconds and reduced multi-second processing lag through parallel buffering.
