论文与出版物 CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang ISSRE’23 | October 2023
论文与出版物 AG codes achieve list decoding capacity over contant-sized fields Joshua Brakensiek, Manik Dhar, Sivakanth Gopi, Zihan Zhang STOC 2024 | October 2023
论文与出版物 Federated Learning with Neural Graphical Models Urszula Chajewska, Harsh Shrivastava Workshop on Advancements in Federated Learning (ECML-PKDD 2023) | September 2023
论文与出版物 Are uGLAD? Time will tell! Shima Imani, Harsh Shrivastava Workshop on Advanced Analytics and Learning on Temporal Data (ECML 2023) | September 2023 项目
论文与出版物 LogOnline: A Semi-Supervised Log-Based Anomaly Detector Aided with Online Learning Mechanism Xuheng Wang, Jiaxing Song, Xu Zhang, Junshu Tang, Weihe Gao, Qingwei Lin 林庆维 ASE’23 | September 2023
论文与出版物 Improved Diversity Maximization Algorithms for Matching and Pseudoforest Sepideh Mahabadi, Shyam Narayanan APPROX | September 2023
论文与出版物 Information Complexity of Mixed-Integer Convex Optimization A. Basu, Hongyi Jiang, Phillip A. Kerger, Marco Molinaro IPCO | August 2023
论文与出版物 Knowledge Propagation over Conditional Independence Graphs Urszula Chajewska, Harsh Shrivastava August 2023 Arxiv preprint | August 2023 项目
论文与出版物 Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets Fan Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, D. N. Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang KDD’23 ADS | August 2023
论文与出版物 Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin 林庆维, Dongmei Zhang Knowledge Discovery and Data Mining | August 2023