activity
20202026
most citedFeature Programming for Multivariate Time Series Prediction

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Attention Sinks and Outliers in Attention Residuals

Haozheng Luo, Haoran Dai, Shaoyang Zhang +10

We propose OASIS, an outlier- and sink-aware method that stabilizes dual-normalized attention-residual architectures through explicit null routing and token-to-depth null coupling.…

cs.LG2024

BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model

Chenwei Xu, Yu-Chao Huang, Jerry Yao-Chieh Hu +4

We introduce the \textbf{B}i-Directional \textbf{S}parse \textbf{Hop}field Network (\textbf{BiSHop}), a novel end-to-end framework for deep tabular learning. BiSHop handles the two…

cs.CL2024

SMUTF: Schema Matching Using Generative Tags and Hybrid Features

Yu Zhang, Mei Di, Haozheng Luo +2

We introduce SMUTF (Schema Matching Using Generative Tags and Hybrid Features), a unique approach for large-scale tabular data schema matching (SM), which assumes that supervised l…

cs.LG2023

Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e

Chenwei Xu, Jerry Yao-Chieh Hu, Aakaash Narayanan +21

We introduce a novel Proximal Policy Optimization (PPO) algorithm aimed at addressing the challenge of maintaining a uniform proton beam intensity delivery in the Muon to Electron…

cs.LG2023

On Sparse Modern Hopfield Model

Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu +3

We introduce the sparse modern Hopfield model as a sparse extension of the modern Hopfield model. Like its dense counterpart, the sparse modern Hopfield model equips a memory-retri…

cs.LG2023★ 2 cited

Feature Programming for Multivariate Time Series Prediction

Alex Reneau, Jerry Yao-Chieh Hu, Chenwei Xu +3

We introduce the concept of programmable feature engineering for time series modeling and propose a feature programming framework. This framework generates large amounts of predict…

cs.AI2020★ 2 cited

Open-Ended Multi-Modal Relational Reasoning for Video Question Answering

Haozheng Luo, Ruiyang Qin, Chenwei Xu +2

In this paper, we introduce a robotic agent specifically designed to analyze external environments and address participants' questions. The primary focus of this agent is to assist…