9.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- California Institute of TechnologyUS101 papers
- Massachusetts Institute of TechnologyUS100 papers
- Columbia UniversityUS97 papers
- Monash UniversityAU97 papers
- Stanford UniversityUS97 papers
- University of MichiganUS97 papers
- University of MinnesotaUS97 papers
- Australian National UniversityAU96 papers
- California State University, FullertonUS96 papers
- Cardiff UniversityGB96 papers
- Leibniz University HannoverDE96 papers
- LIGO Scientific CollaborationUS96 papers
12 papers · 1 filter
Gryphon: Scaling Hyperscale Multi-Tenant Gateways Beyond the Petabit-Era via DPU-Augmented Hierarchical Co-Offloading
Yuemeng Xu, Haoran Chen, Jiarui Guo +14
At ByteDance, cloud gateway clusters orchestrate petabit-scale aggregate traffic. Traditional ASIC-only gateways fail to meet these escalating demands due to severe on-chip resourc…
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
Jingzhe Liu, Liam Collins, Jiliang Tang +3
Recent advancements in generative models have allowed the emergence of a promising paradigm for recommender systems (RS), known as Generative Recommendation (GR), which tries to un…
Bridging Quantum Mechanics to Liquid Properties via a Universal Organic Force Field
Tianze Zheng, Xingyuan Xu, Zhi Wang +10
Molecular dynamics simulations are essential tools for unraveling atomic-level insights into the structure and behavior of condensed-phase systems. However, the universal and accur…
Evaluation and Benchmarking of LLM Agents: A Survey
Mahmoud Mohammadi, Yipeng Li, Jane Lo +1
The rise of LLM-based agents has opened new frontiers in AI applications, yet evaluating these agents remains a complex and underdeveloped area. This survey provides an in-depth ov…
Embedding-based Retrieval in Multimodal Content Moderation
Hanzhong Liang, Jinghao Shi, Xiang Shen +6
Video understanding plays a fundamental role for content moderation on short video platforms, enabling the detection of inappropriate content. While classification remains the domi…
Physics-Guided Learning of Meteorological Dynamics for Weather Downscaling and Forecasting
Yingtao Luo, Shikai Fang, Binqing Wu +2
Weather forecasting is essential but remains computationally intensive and physically incomplete in traditional numerical weather prediction (NWP) methods. Deep learning (DL) model…
Camera Control at the Edge with Language Models for Scene Understanding
Alexiy Buynitsky, Sina Ehsani, Bhanu Pallakonda +1
In this paper, we present Optimized Prompt-based Unified System (OPUS), a framework that utilizes a Large Language Model (LLM) to control Pan-Tilt-Zoom (PTZ) cameras, providing con…
Tackling paper mills requires us to prevent future contamination and clean up the past -- the case of the journal Bioengineered
Rene Aquarius, Elisabeth M. Bik, David Bimler +2
Introduction: Taylor & Francis journal Bioengineered has been targeted by paper mills. The goal of this study is to identify problematic articles published in Bioengineered during…
Preventing Household Bankruptcy: The One-Third Rule in Financial Planning with Mathematical Validation and Game-Theoretic Insights
Aditi Godbole, Zubin Shah, Ranjeet S. Mudholkar
This paper analyzes the 1/3 Financial Rule, a method of allocating income equally among debt repayment, savings, and living expenses. Through mathematical modeling, game theory, be…
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun, Hao Kang, Li Guan +3
We present a deep learning model, dubbed Glissando-Net, to simultaneously estimate the pose and reconstruct the 3D shape of objects at the category level from a single RGB image. P…
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang, Hao Cheng, Jing Xiong +6
Detecting anomalies in temporal data has gained significant attention across various real-world applications, aiming to identify unusual events and mitigate potential hazards. In p…
Improving Student Self-Confidence in Quantum Computing with the Qubit Touchdown Board Game
Kristina Armbruster, Gintaras Duda, Thomas G. Wong
Qubit Touchdown is a two-player, competitive board game that was developed to introduce students to quantum computing. A quantum computer is a new kind of computer that is based on…