Han Wang

Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on Cloud

2018

In this work, we propose a proactive online resource provisioning methodology that addresses the challenge of resource provisioning for IMC workloads in heterogeneous cloud platforms consist of diverse types of servers. As cloud platforms provide …

Processing private queries based on distributed storage in location-based services

2019 · Proceedings of the ACM Turing Celebration Conference - China

With the rapid development of global positioning system, cellular networks and relative technologies, people can request location-based services (LBSs) from the service provider using a handheld device quickly and easily. This greatly facilitates people's life. …

PoV: An Efficient Voting-Based Consensus Algorithm for Consortium Blockchains

2020 · Frontiers in Blockchain

The blockchain has a great vogue in recent years, and its core consensus algorithms also become the focus of research. At present, most of the research on consensus mechanisms are oriented to the public blockchain …

Strong Tracking PHD Filter Based on Variational Bayesian with Inaccurate Process and Measurement Noise Covariance

2021 · Sensors

Assuming that the measurement and process noise covariances are known, the probability hypothesis density (PHD) filter is effective in real-time multi-target tracking; however, noise covariance is often unknown and time-varying for an actual scene. To …

DPLR models and training data

2021 · Zenodo (CERN European Organization for Nuclear Research)

The data and model files needed to reproduce the results in the manuscript "A deep potential model with long-range electrostatic interactions"

What's the Game, then? Opportunities and Challenges for Runtime Behavior Generation

2024

Procedural content generation (PCG), the process of algorithmically creating game components instead of manually, has been a common tool of game development for decades. Recent advances in large language models (LLMs) enable the generation of …

Data-Driven Stable Neural Feedback Loop Design

2024

This paper proposes a data-driven approach to design a feedforward Neural Network (NN) controller with a stability guarantee for plants with unknown dynamics. We first introduce data-driven representations of stability conditions for Neural Feedback Loops …

Identification of Usage Types for New Energy Vehicles Based on Big Data Analytics

2025

Accurately determining the true usage types of new energy vehicles (NEVs) is crucial for insurance pricing and second-hand market valuation as their use grows. Effective decision-making is hampered by discrepancies between registered and actual use. …

Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports From Scratch with Agentic Framework

2025 · arXiv (Cornell University)

Visualizations play a crucial part in effective communication of concepts and information. Recent advances in reasoning and retrieval augmented generation have enabled Large Language Models (LLMs) to perform deep research and generate comprehensive reports. Despite …

Multitask Prompted Training Enables Zero-Shot Task Generalization

2021 · arXiv (Cornell University)

Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a consequence of implicit multitask learning …

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

2022

Stephen Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M Saiful Bari, Thibault Fevry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-david, Canwen Xu, …