718 citations · 1.7k across the 44 of their papers we have counts for
46 papers
SAMN: A Sample Attention Memory Network Combining SVM and NN in One Architecture
Qiaoling Yang, Linkai Luo, Haoyu Zhang +2
Support vector machine (SVM) and neural networks (NN) have strong complementarity. SVM focuses on the inner operation among samples while NN focuses on the operation among the feat…
Adaptive Liquidity Provision in Uniswap V3 with Deep Reinforcement Learning
Haochen Zhang, Xi Chen, Lin F. Yang
Decentralized exchanges (DEXs) are a cornerstone of decentralized finance (DeFi), allowing users to trade cryptocurrencies without the need for third-party authorization. Investors…
Efficient Memory Management for Large Language Model Serving with PagedAttention
Woosuk Kwon, Zhuohan Li, Siyuan Zhuang +6
High throughput serving of large language models (LLMs) requires batching sufficiently many requests at a time. However, existing systems struggle because the key-value cache (KV c…
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng +10
Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications. In this paper,…
The Compton Spectrometer and Imager
John A. Tomsick, Steven E. Boggs, Andreas Zoglauer +72
The Compton Spectrometer and Imager (COSI) is a NASA Small Explorer (SMEX) satellite mission in development with a planned launch in 2027. COSI is a wide-field gamma-ray telescope…
The cosipy library: COSI's high-level analysis software
Israel Martinez-Castellanos, Savitri Gallego, Chien-You Huang +72
The Compton Spectrometer and Imager (COSI) is a selected Small Explorer (SMEX) mission launching in 2027. It consists of a large field-of-view Compton telescope that will probe wit…
Gamma-ray Transient Network Science Analysis Group Report
Eric Burns, Michael Coughlin, Kendall Ackley +34
The Interplanetary Network (IPN) is a detection, localization and alert system that utilizes the arrival time of transient signals in gamma-ray detectors on spacecraft separated by…
Generalized Dualities and Supergroups
Daniel Butter, Falk Hassler, Christopher N. Pope +1
Using a recently developed formulation of double field theory in superspace, the graviton, -field, gravitini, dilatini, and Ramond-Ramond bispinor are encoded in a single genera…
Intermediate Defect Groups, Polarization Pairs, and Non-invertible Duality Defects
Craig Lawrie, Xingyang Yu, Hao Y. Zhang
Within the framework of relative and absolute quantum field theories (QFTs), we present a general formalism for understanding polarizations of the intermediate defect group and con…
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling
Ke Deng, Zhiyuan He, Hao Zhang +2
In future 6G Mobile Edge Computing (MEC), autopilot systems require the capability of processing multimodal data with strong interdependencies. However, traditional heuristic algor…
A Novel Channel-Constrained Model for 6G Vehicular Networks with Traffic Spikes
Ke Deng, Zhiyuan He, Haohan Lin +2
Mobile Edge Computing (MEC) holds excellent potential in Congestion Management (CM) of 6G vehicular networks. A reasonable schedule of MEC ensures a more reliable and efficient CM…
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration
Jingyu Hu, Ka-Hei Hui, Zhengzhe liu +2
This paper presents CLIPXPlore, a new framework that leverages a vision-language model to guide the exploration of the 3D shape space. Many recent methods have been developed to en…
Generalized Symmetries in Supergravities and Superconformal Field Theories via String Theory
Hao Y. Zhang
In this dissertation, we study the generalized symmetries in supergravities and superconformal field theories from the string theory perspective. Part one is devoted to the study o…
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng +10
Evaluating large language model (LLM) based chat assistants is challenging due to their broad capabilities and the inadequacy of existing benchmarks in measuring human preferences.…
RoSI: Recovering 3D Shape Interiors from Few Articulation Images
Akshay Gadi Patil, Yiming Qian, Shan Yang +3
The dominant majority of 3D models that appear in gaming, VR/AR, and those we use to train geometric deep learning algorithms are incomplete, since they are modeled as surface mesh…
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes
Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li +3
This report surveys advances in deep learning-based modeling techniques that address four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We des…
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders
Mingyue Cheng, Xiaoyu Tao, Zhiding Liu +4
Learning transferable representations from unlabeled time series is crucial for improving performance in data-scarce classification. Existing self-supervised methods often operate…
CAT-Net: Category-Agnostic 3D Articulation Transfer from Single Image
Jasmine Collins, Anqi Liang, Jitendra Malik +2
We present a neural network approach to transfer the motion from a single image of an articulated object to a rest-state (i.e., unarticulated) 3D model. Our network learns to predi…
Improved Long-Form Spoken Language Translation with Large Language Models
Arya D. McCarthy, Hao Zhang, Shankar Kumar +2
A challenge in spoken language translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations. To address this mis…
Dynamical interplay between superconductivity and charge-density-wave: a nonlinear terahertz study of coherently-driven 2H-NbSe2 and La2-xSrxCuO4
Liwen Feng, Jiayuan Cao, Tim Priessnitz +21
2H-NbSe2 is an archetypal system in which superconductivity and charge-density-wave (CDW) coexist and compete macroscopically with each other. In particular, this interplay also ma…
Top Down Approach to Topological Duality Defects
Jonathan J. Heckman, Max Hubner, Ethan Torres +2
Topological duality defects arise as codimension one generalized symmetry operators in quantum field theories (QFTs) with a duality symmetry. Recent investigations have shown that…
Consistent Truncations and Dualities
Daniel Butter, Falk Hassler, Christopher N. Pope +1
Recent progress in generalised geometry and extended field theories suggests a deep connection between consistent truncations and dualities, which is not immediately obvious. A pri…
On Optimizing the Communication of Model Parallelism
Yonghao Zhuang, Hexu Zhao, Lianmin Zheng +6
We study a novel and important communication pattern in large-scale model-parallel deep learning (DL), which we call cross-mesh resharding. This pattern emerges when the two paradi…
MPCFormer: fast, performant and private Transformer inference with MPC
Dacheng Li, Rulin Shao, Hongyi Wang +3
Enabling private inference is crucial for many cloud inference services that are based on Transformer models. However, existing private inference solutions can increase the inferen…