Publications (24)
Automating Analysis of Construction Workers Viewing Patterns for Personalized Safety Training and Management
Idris Jeelani, Kevin Han, Alex Albert
Unrecognized hazards increase the likelihood of workplace fatalities and injuries substantially. However, recent research has demonstrated that a large proportion of hazards remain…
Model-Based Regression Adjustment with Model-Free Covariates for Network Interference
Kevin Han, Johan Ugander
When estimating a Global Average Treatment Effect (GATE) under network interference, units can have widely different relationships to the treatment depending on a combination of th…
Pegasus-v1 Technical Report
Raehyuk Jung, Hyojun Go, Jaehyuk Yi +41
This technical report introduces Pegasus-1, a multimodal language model specialized in video content understanding and interaction through natural language. Pegasus-1 is designed t…
Scaling Natural-Language Graph-Based Test Time Compute for Automated Theorem Proving
Vincent Li, Tim Knappe, Yule Fu +2
Large language models have demonstrated remarkable capabilities in natural language processing tasks requiring multi-step logical reasoning capabilities, such as automated theorem…
Detecting Interference in A/B Testing with Increasing Allocation
Kevin Han, Shuangning Li, Jialiang Mao +1
In the past decade, the technology industry has adopted online randomized controlled experiments (a.k.a. A/B testing) to guide product development and make business decisions. In p…
Real-time Scene Segmentation Using a Light Deep Neural Network Architecture for Autonomous Robot Navigation on Construction Sites
Khashayar Asadi, Pengyu Chen, Kevin Han +2
Camera-equipped unmanned vehicles (UVs) have received a lot of attention in data collection for construction monitoring applications. To develop an autonomous platform, the UV shou…
SMDD-Bench: Can LLMs Solve Real-World Small Molecule Drug Design Tasks?
Kevin Han, Renfei Zhang, Kathy Wei +3
LLM agents have incredible potential for scientific discovery applications. However, the performance of LLM agents on real-world, small molecule drug design (SMDD) tasks across div…
CHGNet: Pretrained universal neural network potential for charge-informed atomistic modeling
Bowen Deng, Peichen Zhong, KyuJung Jun +4
The simulation of large-scale systems with complex electron interactions remains one of the greatest challenges for the atomistic modeling of materials. Although classical force fi…
TDFlow: Agentic Workflows for Test Driven Development
Kevin Han, Siddharth Maddikayala, Tim Knappe +3
We introduce TDFlow, a novel test-driven agentic workflow that frames repository-scale software engineering as a test-resolution task, specifically designed to solve human-written…
Virtual Manipulation in an Immersive Virtual Environment: Simulation of Virtual Assembly
Mojtaba Noghabaei, Khashayar Asadi, Kevin Han
To fill the lack of research efforts in virtual assembly of modules and training, this paper presents a virtual manipulation of building objects in an Immersive Virtual Environment…
Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials
Kevin Han, Haolin Cong, Bowen Deng +1
Machine learning interatomic potentials (MLIPs) have proven to be wildly useful for molecular dynamics simulations, powering countless drug and materials discovery applications. Ho…
Real-world Mapping of Gaze Fixations Using Instance Segmentation for Road Construction Safety Applications
Idris Jeelani, Khashayar Asadi, Hariharan Ramshankar +2
Research studies have shown that a large proportion of hazards remain unrecognized, which expose construction workers to unanticipated safety risks. Recent studies have also found…
Estimating Treatment Effects Using Observational Data and Experimental Data with Non-overlapping Support
Kevin Han
When estimating treatment effects, the golden standard is to conduct a randomized experiment and then contrast outcomes associated with the treatment group and the control group. H…
Vision-based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm
Khashayar Asadi, Rahul Jain, Ziqian Qin +5
Over the past few years, the use of camera-equipped robotic platforms for data collection and visually monitoring applications has exponentially grown. Cluttered construction sites…
Large-area, uniform and low-cost dual-mode plasmonic naked-eye colorimetry and SERS sensor with handheld Raman spectrometer
Zhida Xu, Jing Jiang, Xinhao Wang +5
We demonstrated a highly sensitive, waferscale, highly uniform plasmonic nanomushroom substrate based on plastic for nakedeye plasmonic colorimetry and surface enhanced Raman spect…
Population Interference in Panel Experiments
Kevin Han, Iavor Bojinov, Guillaume Basse
The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in s…
A Survey Study to Understand Industry Vision for Virtual and Augmented Reality Applications in Design and Construction
Mojtaba Noghabaei, Arsalan Heydarian, Vahid Balali +1
With advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many potential applications in the Architecture, Engineering…
Hazard recognition in an immersive virtual environment: Framework for the simultaneous analysis of visual search and EEG patterns
Mojtaba Noghabaei, Kevin Han
Unmanaged hazards in dangerous construction environments proved to be one of the main sources of injuries and accidents. Hazard recognition is crucial to achieve effective safety m…
Toward Automated Virtual Assembly for Prefabricated Construction: Construction Sequencing through Simulated BIM
Gilmarie O'Neill, Matthew Ball, Yujing Liu +2
To adhere to the stringent time and budget requirements of construction projects, contractors are utilizing prefabricated construction methods to expedite the construction process.…
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials
Kevin Han, Bowen Deng, Amir Barati Farimani +1
Large-scale atomistic simulations are essential to bridge computational materials and chemistry to realistic materials and drug discovery applications. In the past few years, rapid…
Segmenting Objectiveness and Task-awareness Unknown Region for Autonomous Driving
Mi Zheng, Guanglei Yang, Zitong Huang +3
With the emergence of transformer-based architectures and large language models (LLMs), the accuracy of road scene perception has substantially advanced. Nonetheless, current road…
Building an Integrated Mobile Robotic System for Real-Time Applications in Construction
Khashayar Asadi, Hariharan Ramshankar, Harish Pullagurla +7
One of the major challenges of a real-time autonomous robotic system for construction monitoring is to simultaneously localize, map, and navigate over the lifetime of the robot, wi…
EBPO: Empirical Bayes Shrinkage for Stabilizing Group-Relative Policy Optimization
Kevin Han, Yuhang Zhou, Mingze Gao +6
Reinforcement Learning with Verifiable Rewards (RLVR) has proven effective for enhancing the reasoning capabilities of Large Language Models (LLMs). However, dominant approaches li…
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection
Joshua Lee, Wyatt Fong, Alexander Le +3
Sarcasm detection is a significant challenge in sentiment analysis due to the nuanced and context-dependent nature of verbiage. We introduce Pragmatic Metacognitive Prompting (PMP)…