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Welder: Scheduling Deep Learning Memory Access via Tile-graph.

, , , , , , , , and . OSDI, page 701-718. USENIX Association, (2023)

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Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning., , , , , , , , and . OSDI, page 681-699. USENIX Association, (2023)Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation., , , , , , , , , and 2 other author(s). OSDI, page 307-323. USENIX Association, (2024)FusionMotion: Multi-Sensor Asynchronous Fusion for Continuous Occupancy Prediction via Neural-ODE., , , , , and . CoRR, (2023)SGFNet: Segmentation Guided Fusion Network for 3D Object Detection., , , , , , , , , and . IEEE Robotics Autom. Lett., 8 (12): 8239-8246 (December 2023)PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving., , , , , , and . 3DV, page 1219-1228. IEEE, (2024)StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation., , , , , , and . CVPR, page 14833-14842. IEEE, (2024)SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation., , , , , and . CoRR, (2024)HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training., , , , , , and . SIGMOD Conference, page 470-480. ACM, (2022)Soundify: Matching Sound Effects to Video., , , , and . UIST, page 18:1-18:13. ACM, (2023)Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review., , , , , , , and . CoRR, (2023)