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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)Soundify: Matching Sound Effects to Video., , , , and . UIST, page 18:1-18:13. ACM, (2023)HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training., , , , , , and . SIGMOD Conference, page 470-480. ACM, (2022)Bridging the View Disparity of Radar and Camera Features for Multi-modal Fusion 3D Object Detection., , , , , and . CoRR, (2022)Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review., , , , , , , and . CoRR, (2023)Map Container: A Map-based Framework for Cooperative Perception., , , , , , and . CoRR, (2022)3D Multiple Object Tracking with Multi-modal Fusion of Low-cost Sensors for Autonomous Driving., , , , , , and . ITSC, page 1750-1757. IEEE, (2022)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)