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Peiyi Wang

Postdoctoral Associate

Peiyi WANG is a Ph.D. graduate in Mechanical Engineering (2024) and currently serves as a Postdoctoral Associate at the Singapore-MIT Alliance for Research & Technology Centre (SMART). Before joining SMART, he was a postdoctoral research fellow at the National University of Singapore (NUS).

His research focus on soft continuum robot and its application in assistive and wearable fields.

BILBO: BILevel Bayesian Optimization

Ruth Wan Theng Chew (NUS), Quoc Phong Nguyen, Bryan Low (NUS)

The 42nd
International Conference on Machine Learning (ICML), Vancouver, Canada

Conference

2025

ICML

NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric

Jingtan Wang (NUS), Xiaoqiang Lin (NUS), Qiao Rui (SMART), Pang Wei Koh (University of Washington), Chuan-Sheng Foo (A*Star), Bryan Low (NUS)

The 42nd
International Conference on Machine Learning (ICML), Vancouver, Canada

Conference

2025

ICML

URPlanner: A Universal Paradigm for Collision-Free Robotic Motion Planning Based on Deep Reinforcement Learning

Fengkang ying (NUS), Hanwen Zhang (NUS), Haozhe Wang (SMART), Huishi Huang (NUS), Marcelo Ang (NUS)

IEEE Transactions on Robotics

Journal

2025

IEEE

Housing Exchange Framework to Reduce Carbon Emissions from Commuting

Nature Sustainability 2025

Journal

2025

Nature Sustainability

Scheduling Meetings with Large Language Models and Adaptive Representations of Group Availability

Jaeyoon Song (MIT), Zahra Ashktorab (IBM), Thomas Malone (MIT)

Proceedings of the ACM on Human-Computer Interaction, CSCW ’25, October 18–22, 2025, Bergen, Norway

Conference

2025

ACM

Interaction Configurations and Prompt Guidance in Conversational AI for Question Answering in Human-AI Teams

Jaeyoon Song (MIT), Zahra Ashktorab (IBM), Qian Pan (IBM), Casey Dugan (IBM), Werner Geyer (IBM), Thomas Malone (MIT)

Proceedings of the ACM on Human-Computer Interaction, CSCW ’25, October 18–22, 2025, Bergen, Norway.

Conference

2025

ACM

How far afield should you go when being creative?
Semantic area as a metric of AI’s effects on creative ideation

Steven Rick (MIT), Jennifer Heyman (MIT), Pablo Paredes, Matthew Hong, Thomas Malone (MIT)

International Conference on Computational Creativity (ICCC), June 23 – 27, 2025, Campinas, Brazil

Conference

2025

ICCC

Supermind Ideator: How Scaffolding Human-AI Collaboration Can Increase Creativity

Jennifer Heyman (MIT), Steven Rick (MIT), Glanni Glacomelli (MIT), Haoren Wen (MIT), Robert Laubacher (MIT), Nancy Taubenslag (MIT), Max Knicker (Ecole Polytechnique), Younes Jeddi (Mohammed VI Polytechnic University), Pranav Ragupathy (MIT), Jared Curhan (MIT), Thomas Malone (MIT)

Venue: CI '24: Proceedings of the ACM Collective Intelligence Conference

Conference

2024

ACM

When combinations of humans and AI are useful: A systematic review and meta-analysis.

Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

Journal

2024

Springer Nature

System and method for visual content generation and iteration.

Alice Cai, Thomas Malone (MIT), Yanxia Zhang, Alexandre Filipowicz, Matthew Hong, Steven Rick (MIT), Heishiro Toyoda

Patents

2024

Minimum Multi-Service Fleet Size Problem: Shareability Graph and Network Flow Approach

Dingtong Yang (SMART), Yubin Liu (SMART), Hai Wang (SMU), Jinhua Zhao (MIT), Hamsa Balakrishnan (MIT)

Conference

2025

12th Triennial Symposium on Transportation Analysis, Okinawa Japan

Grasping by spiraling: reproducing elephant movements with rigid-soft robot synergy

Huishi Huang (co-first authors) (NUS), Haozhe Wang (co-first authors) (SMART), Chongyu Fang (NUS), Mingge Yan (NUS), Ruochen Xu (NUS), Yiyuan Zhang (NUS), Zhanchi Wang (USTC), Fenkang Ying (NUS), Jun Liu (A*STAR), Cecilia Laschi (NUS) & Marcelo H. Ang Jr (NUS)



npj Robotics

Journal

2025

Springer Nature

Dynamic Autoregressive Tensor Factorization for Pattern Discovery of Spatiotemporal Systems

Arun Verma (SMART, co-first author), Zhongxiang Dai (CUHK-Shenzhen, co-first author), Xiaoqiang Lin (NUS), Patrick Jaillet (MIT), Bryan Kian Hsiang Low (SMART & NUS)

IEEE Transactions on Pattern Analysis and Machine Intelligence

Journal

2025

IEEE

Correlating Time Series With Interpretable Convolutional Kernels

Xinyu Chen (MIT), HanQin Cai (University of Central Florida), Fuqiang Liu (McGill University), Jinhua Zhao (MIT)

IEEE Transactions on Knowledge and Data Engineering

Journal

2025

IEEE

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

Ze Yu Zhang (NUS, co-first author), Arun Verma (SMART, co-first author), Finale Doshi-Velez (Harvard University), Bryan Kian Hsiang Low (SMART & NUS)

ICLR 2025 Workshop on Quantify Uncertainty and Hallucination in Foundation Models: The Next Frontier in Reliable AI

Conference

2025

ICLR

Active Human Feedback Collection via Neural Contextual Dueling Bandits

Rui Qiao (SMART), Zhaoxuan Wu (SMART), Jingtan Wang (NUS & A*STAR), Pang Wei Koh (University of Washington), Bryan Kian Hsiang Low (NUS & SMART)

ICLR 2025 Workshop on Bidirectional Human-AI Alignment

Conference

2025

ICLR

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks

13th International Conference on Learning Representations (ICLR-25)

Conference

2025

ICLR

WIP: Making Implicit Knowledge Explicit - A Data-Driven Approach to Improve Knowledge Transfer in a Glassblowing Beginners Class

Proceedings of the IEEE Frontiers in Education Conference (FIE)

Conference

2024

IEEE

RA-MOSAIC: Resource Adaptive Edge AI Optimization over Spatially Multiplexed Video Streams

Ila Gokarn (SMART), Yigong Hu (University of Illinois at Urbana-Champaign), Tarek Abdelzaher (University of Illinois at Urbana-Champaign), Archan Misra (SMU)

ACM Transactions on Multimedia Computing Communications and Applications

Journal

2025

ACM

D2SR: Decentralized Detection, De-Synchronization, and Recovery of LiDAR Interference

Darshana Rathnayake (SMU), Hemanth Sabella (SMU), Meera Radhakrishnan (University of Technology Sydney), Archan Misra (SMU)

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Conference

2024

IEEE

DeLiDAR: Decoupling LiDARs for Pervasive Spatial Computing

Zijian Zhou (SMART), Xiaoqiang Lin (NUS), Xinyi Xu (NUS), Alok Prakash (SMART), Daniela Rus (SMART & MIT), Bryan Low (SMART & NUS)

mRose 2024 Workshop, in conjunction with EWSN 2024

Conference

2024

IEEE

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

Arun Verma (SMART), Xiaoqiang Lin (NUS), Dai Zhongxiang (CUHK-Shenzhen), Daniela Rus (SMART & MIT), Bryan Kian Hsiang Low (SMART & NUS)

13th International Conference on Learning Representations (ICLR-25)

Conference

2025

ICLR

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions

Ze Yu Zhang (NUS, co-first author), Arun Verma (SMART, co-first author), Finale Doshi-Velez (Harvard University), Bryan Kian Hsiang Low (SMART & NUS)

13th International Conference on Learning Representations (ICLR-25)

Conference

2025

ICLR

Ges3ViG : Incorporating Pointing Gestures into Language-Based 3D Visual Grounding for Embodied Reference Understanding

Xinyu Chen (MIT), Dingyi Zhuang (MIT), HanQin Cai (University of Central Florida), Shenhao Wang (UF), Jinhua Zhao (MIT)

IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2025)

Conference

2025

IEEE

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

Darshana Rathnayake (SMU), Razat Sutradhar (Georgia State University), Abbaas Alif Mohamed Nishar (Georgia State University), Dulaj Weerakoon (SMART), Ashwin Ashok (Georgia State University), Archan Misra (SMU)

Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada

Conference

2024

Vancouver, Canada

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

Michelle Vaccaro (MIT), Abdullah Almaatouq (MIT), Thomas Malone (MIT)

Annual Conference on Neural Information Processing Systems (NeurIPS)

Conference

2024

Vancouver, Canada

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes

Quoc Phong Nguyen (Deakin University), Bryan Low (SMART & NUS), Patrick Jaillet (MIT)

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

Robustifying and Boosting Training-Free Neural Architecture Search

Zhenfeng He (NUS), Yao Shu (Guangdong Lab of AI), Zhongxiang Dai (MIT), Bryan Low (SMART & NUS)

The 12th International Conference on Learning Representations (ICLR)

Conference

2024

Vienna, Austria

Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components

Zhiliang Chen (NUS), Chuan Sheng Foo (A*STAR), Bryan Low (SMART & NUS)

The 41st International Conference on Machine Learning (ICML), Vienna, Austria

Conference

2024

Vienna, Austria

Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.

Xiaoqiang Lin (NUS, co-first author), Zhaoxuan Wu (SMART, co-first author), Zhongxiang Dai (MIT), Wenyang Hu (NUS), Yao Shu (Guangdong Lab of AI), See-Kiong Ng (NUS), Patrick Jaillet (MIT), Bryan Low (SMART & NUS)

The 41st International Conference on Machine Learning (ICML)

Conference

2024

Vienna, Austria

CAS: Fusing DNN Optimization & Adaptive Sensing for Energy-Efficient Multi-Modal Inference

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

IEEE Robotics and Automation Letters

Journal

2024

IEEE

Poster: Towards Efficient Spatio-Temporal Video Grounding in Pervasive Mobile Devices

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services

Conference

2024

ACM

LILOC: Leveraging LiDARs for Accurate 3D Localization in Dynamic Indoor Environments

Yunhan Zheng (SMART), David Keith(University of Melbourne) Shenhao Wang (UF), Mi Diao (Tongji), and Jinhua Zhao (MIT)


ACM Transactions on Internet of Things

Journal

2024

ACM

NeuroViG - Integrating Event Cameras for Resource- Efficient Video Grounding

Dulanga Weerakoon (SMART), Vigneshwaran Subbaraju (A*STAR), Joo Hwee Lim (A*STAR), Archan Misra (SMU)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025)

Conference

2025

IEEE

Impacts of remote work on vehicle miles traveled and transit ridership in the USA

Yunhan Zheng (SMART), Shenhao Wang (UF), Lun Liu (PKU), Jim Aloisi (MIT), and Jinhua Zhao (MIT)

Nature Cities

Journal

2024

Springer Nature

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark

Zhaoxuan Wu (SMART), Xiaoqiang Lin (NUS), Zhongxiang Dai (CUHK-Shenzhen), Wenyang Hu (NUS), Yao Shu (Guangdong Lab of AI), See-Kiong Ng (NUS), Patrick Jaillet (MIT), Bryan Low (SMART & NUS)

Transportation Research Part B: Methodological

Journal

2024

Elsevier

Effects of electric vehicle charging stations on the economic vitality of local businesses

Yunhan Zheng (SMART), David Keith(University of Melbourne) Shenhao Wang (UF), Mi Diao (Tongji), and Jinhua Zhao (MIT)


Nature Communications

Journal

2024

Springer Nature

Infrequent activities predict economic outcomes in major American cities

Shenhao Wang (UF), Yunhan Zheng (SMART), Guang Wang (MIT), Takahiro Yabe (MIT), Esteban Moro (MIT), Alex "Sandy" Pentland (MIT)

Nature Cities

Journal

2024

Springer Nature

A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Jie Gao (SMART), Simret Araya Gebreegziabher (University of Notre Dame), Kenny Tsu Wei Choo (SUTD), Toby Jia-Jun Li (University of Notre Dame), Simon Tangi Perrault (SUTD), Thomas W Malone (MIT)

CHI'24: ACM Conference on Human Factors in Computing Systems

Conference

2024

ACM

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