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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization., , , , and . Neural Process. Lett., 54 (6): 4735-4749 (2022)Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources., , , , , , , , and . Euro-Par Workshops, volume 13098 of Lecture Notes in Computer Science, page 116-128. Springer, (2021)MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts., , , , , , , , and . CoRR, (2023)Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks., , , , and . CoRR, (2020)Preserving Differential Privacy in Adversarial Learning with Provable Robustness., , , , and . CoRR, (2019)JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu., , , , , , , , , and 2 other author(s). KDD, page 3289-3298. ACM, (2021)Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies., , , , , and . KDD, page 270-279. ACM, (2007)On Knowledge-Based Classification of Abnormal BGP Events., , , , and . ICISS, volume 4812 of Lecture Notes in Computer Science, page 267-271. Springer, (2007)Efficient Device Scheduling with Multi-Job Federated Learning., , , , , , and . AAAI, page 9971-9979. AAAI Press, (2022)Out-of-Town Recommendation with Travel Intention Modeling., , , , , , and . AAAI, page 4529-4536. AAAI Press, (2021)