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Author

Siran Yang

Observed name: Yang, Siran
ORCID: 0009-0001-0272-3718
Observed ORCID: 0009-0001-0272-3718
OpenAlex ID: A5016852628
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model
2023 · Xiang-Rong Sheng, Jingyue Gao, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 31
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PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
2022 · Yuanxing Zhang, Langshi Chen, et al. · IEEE International Conference on Data Engineering (ICDE) · 29
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Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao
2023 · Jingyue Gao, Shuguang Han, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 9
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FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms
2024 · Xiaoyang Zhao, Siran Yang, et al. · ACM Symposium on Cloud Computing (SoCC) · 5
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
2025 · Wang, Weixun, Xiong, Shaopan, et al. · arXiv (Cornell University) · 1
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Complementary RL: Towards Efficient Experience-Driven Agent Learning
2026 · Muhtar, Dilxat, Liu, Jiashun, et al. · arXiv (Cornell University)
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PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition
2026 · Ziyan Gan, Fangxin Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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RollArt: Disaggregated Multi-Task Agentic RL Training at Scale
2025 · Gao, Wei, Zhao, Yuheng, et al. · arXiv (Cornell University)
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RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
2025 · Zong, Hua, Zeng, Qingtao, et al. · arXiv (Cornell University)
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Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
2025 · Liu, Zihe, Liu, Jiashun, et al. · arXiv (Cornell University)
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Works count: 10
Citation count: 75
H-index: 4
I10-index: 2
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