Kai Xu

A Decentralized Partially Observable Markov Decision Model with Action Duration for Goal Recognition in Real Time Strategy Games

2017 · Discrete Dynamics in Nature and Society

Multiagent goal recognition is a tough yet important problem in many real time strategy games or simulation systems. Traditional modeling methods either are in great demand of detailed agents’ domain knowledge and training dataset for …

Study on Dispatching Decision Information of Power Flow Distribution Under Wildfire Disasters

2019

The dispatching decision information of power flow distribution under the wildfire disaster needs to consider the disturbance of the internal fault of the power grid and the influence of external factors. Aiming at the current …

Observation of critical phase transition in a generalized Aubry-André-Harper model on a superconducting quantum processor with tunable couplers

2022 · arXiv (Cornell University)

Quantum simulation enables study of many-body systems in non-equilibrium by mapping to a controllable quantum system, providing a new tool for computational intractable problems. Here, using a programmable quantum processor with a chain of 10 …

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Recently, graph neural networks have shown the superiority of modeling the complex topological structures in heterogeneous network-based recommender systems. Due to the diverse interactions among nodes and abundant semantics emerging from diverse types of nodes …

Quantum simulation and quantum computation of noisy-intermediate scale

2022 · Chinese Physics B

In the past years, great progresses have been made on quantum computation and quantum simulation. Increasing the number of qubits in the quantum processors is expected to be one of the main motivations in the …

LAB: Large-Scale Alignment for ChatBots

2024 · arXiv (Cornell University)

This work introduces LAB (Large-scale Alignment for chatBots), a novel methodology designed to overcome the scalability challenges in the instruction-tuning phase of large language model (LLM) training. Leveraging a taxonomy-guided synthetic data generation process and …

Chat2Query: A Zero-Shot Automatic Exploratory Data Analysis System with Large Language Models

2024

Data analysts often encounter two primary challenges while conducting exploratory data analysis by SQL: (1) the need to skillfully craft SQL queries, and (2) the requirement to generate suitable visualizations that enhance the interpretation of …

Multimode Purcell filter for superconducting-qubit reset and readout with intrinsic Purcell protection

2026 · Physical Review Applied

Efficient qubit reset and leakage reduction are essential for scalable superconducting quantum computing, particularly in the context of quantum error correction. However, such operations often require additional on-chip components. Here, we propose and experimentally demonstrate …

Web-Bench: A LLM Code Benchmark Based on Web Standards and Frameworks

2025 · arXiv (Cornell University)

The application of large language models (LLMs) in the field of coding is evolving rapidly: from code assistants, to autonomous coding agents, and then to generating complete projects through natural language. Early LLM code benchmarks …