Publication Scalable Fair Influence Maximization Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS) | December 2023
Publication Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception Anurag Ghosh, Akshay Nambi, Vaibhav Balloli, Aditya Singh, Tanuja Ganu NeurIPS 2023 | December 2023 Project
Publication Parallel Submodular Function Minimization Andrei Graur, Haotian Jiang, Aaron Sidford NeurIPS 2023 | December 2023 Spotlight Presentation Spotlight Presentation
Publication Tight Bounds for Volumetric Spanners and Applications Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian NeurIPS 2023 | December 2023
Publication Differentially Private Approximate Near Neighbor Counting in High Dimensions Alexandr Andoni, Piotr Indyk, Sepideh Mahabadi, Shyam Narayanan NeurIPS 2023 | December 2023 Spotlight Presentation Project
Publication LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin 林庆维, Daxin Jiang ICCV’23 | December 2023
Publication Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems …, Qingwei Lin 林庆维, … December 2023
Publication Composable Coresets for Determinant Maximization: Greedy is Almost Optimal Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar NeurIPS 2023 | December 2023
Publication Core-sets for Fair and Diverse Data Summarization Sepideh Mahabadi, Stojan Trajanovski NeurIPS 2023 | December 2023
Publication STEAM: Observability-Preserving Trace Sampling Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin 林庆维, S. Rajmohan, Dongmei Zhang FSE’23 Industry | November 2023
