papers

Publications (11)

eess.SY2025

Human-in-the-Loop Simulation for Real-Time Exploration of HVAC Demand Flexibility

Xinlei Zhou, Han Du, Emily W. Yap +3

The increasing integration of renewable energy into the power grid has highlighted the critical importance of demand-side flexibility. Among flexible loads, heating, ventilation, a…

physics.optics2021

Non-volatile programmable silicon photonics using an ultralow loss SbSe phase change material

Matthew Delaney, Ioannis Zeimpekis, Han Du +5

Adaptable, reconfigurable and programmable are key functionalities for the next generation of silicon-based photonic processors, neural and quantum networks. Phase change technolog…

cs.CV2019

Fine-Grained Semantic Segmentation of Motion Capture Data using Dilated Temporal Fully-Convolutional Networks

Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4

Human motion capture data has been widely used in data-driven character animation. In order to generate realistic, natural-looking motions, most data-driven approaches require cons…

cond-mat.mtrl-sci2019

Grain Boundary Premelting of Monolayer Ices in 2D Nano-channels

Zun Liang, Han Du, Hongtao Liang +1

We employ molecular-dynamics (MD) simulations to study grain boundary (GB) premelting in ices confined in two-dimensional hydrophobic nano-channels. Premelting transition is observ…

cs.CR2026

Enforcing Control Flow Integrity on DeFi Smart Contracts

Zhiyang Chen, Sidi Mohamed Beillahi, Pasha Barahimi +4

Smart contracts power decentralized financial (DeFi) services but are vulnerable to security exploits that can lead to significant financial losses. Existing security measures ofte…

cs.CV2018

Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data

Noshaba Cheema, Somayeh Hosseini, Janis Sprenger +4

Semantic segmentation of motion capture sequences plays a key part in many data-driven motion synthesis frameworks. It is a preprocessing step in which long recordings of motion ca…