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Why and How to Teach Machine Learning in High School -A Practice in Bejing National Day School in China.

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Scheduling step-deteriorating jobs on bounded parallel-batching machines to maximise the total net revenue., , , , and . J. Oper. Res. Soc., 70 (10): 1830-1847 (2019)The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge., , , , and . INTERSPEECH, page 4396-4400. ISCA, (2022)Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion., , , , , , , and . DDAM@MM, page 43-52. ACM, (2022)Why and How to Teach Machine Learning in High School -A Practice in Bejing National Day School in China., , , , and . ACM TUR-C, page 89-91. ACM, (2023)From Speaker Verification to Deepfake Algorithm Recognition: Our Learned Lessons from ADD2023 Track 3., , , , and . DADA@IJCAI, volume 3597 of CEUR Workshop Proceedings, page 107-112. CEUR-WS.org, (2023)Low Pass Filtering and Bandwidth Extension for Robust Anti-spoofing Countermeasure Against Codec Variabilities., , , and . ISCSLP, page 438-442. IEEE, (2022)Less is more approach for competing groups scheduling with different learning effects., , , , and . J. Comb. Optim., 39 (1): 33-54 (2020)The 2020 Personalized Voice Trigger Challenge: Open Datasets, Evaluation Metrics, Baseline System and Results., , , , , , , and . Interspeech, page 4239-4243. ISCA, (2021)Exploring Universal Singing Speech Language Identification Using Self-Supervised Learning Based Front-End Features., , , , and . ICASSP, page 1-5. IEEE, (2023)Source Tracing: Detecting Voice Spoofing., , , and . CoRR, (2022)