Publication Adaptive Sketches for Robust Regression with Importance Sampling Sepideh Mahabadi, David P. Woodruff, Samson Zhou RANDOM | September 2022
Publication Tailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug Design Kehan Wu, Yingce Xia, Yang Fan, Pan Deng, Haiguang Liu, Lijun Wu, Shufang Xie, Tong Wang, Tao Qin, Tie-Yan Liu August 2022
Publication Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin 林庆维, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang SIGKDD 2022 | August 2022 Project Project
Publication ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen, Chi Wang, Amin Saied, Rui Zhuang MSR-TR-2022-29 | August 2022 Published by Microsoft Project
Publication CLARE: A Semi-supervised Community Detection Algorithm Xixi Wu, Yao Zhang, Yun Xiong, Yizhu Jiao, Caihua Shan, Yangyong Zhu, Philip S Yu KDD 2022 | August 2022
Publication Sampling Near Neighbors in Search for Fairness Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri Communications of the ACM (CACM) | August 2022
Publication Availability attacks create shortcuts Da Yu, Huishuai Zhang, Wei Chen, Tie-Yan Liu, Jian Yin 2022 Knowledge Discovery and Data Mining | August 2022
Publication Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin 林庆维, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang SIGKDD’22 | August 2022 Project Project
Publication NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365 Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin 林庆维, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang SIGKDD 2022 | August 2022 Project Project
Publication Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning Yae Jee Cho, Andre Manoel, Gauri Joshi, Robert Sim, Dimitrios Dimitriadis IJCAI-ECAI’22 | August 2022 Project
