10/2026
Awarded a $199,695 LAS 2027 research grant (Co-PI) on adaptive verification for human–AI decisions
10/2026
A paper on efficient large-scale dataset distillation was accepted to
WACV'27 paper10/2026
A paper on zero-shot street-view business classification was accepted to
IEEE BigData'2610/2026
Received an NC State COE Applied AI Micro-Course Award with Martin Seifrid to develop AI training for self-driving labs
09/2026
Awarded a $317,349 grant through Arnold Ventures to benchmark AI-derived housing measures against permit and assessor records
09/2026
Received the PI-SEAS Interdisciplinary Faculty Research Award for closed-loop AI optimization of autonomous materials experiments
09/2026
Invited panelist at the Oak Ridge National Laboratory AI CORE Workshop 2026: *Who Does the Science?*
08/2026
Co-organized
RelKD'26, the 4th Workshop on Resource-Efficient Learning, at
KDD'26 link08/2026
My PhD student Aditya received the Tony McLean Brown Graduate Scholarship (sole recipient) this year
07/2026
Awarded a collaborative
NSF CAIG grant ($1.05M total across two institutions; Co-PI) for physics-informed AI to understand coastal hypoxia formation
link07/2026
Organized the 3rd
DCgAA Workshop on AI-Hardware Co-Design at
DAC'26 link07/2026
Gave an invited talk at the NC State COE Applied AI Summer Workshop on scalable, efficient, and grounded AI for engineering workflows
07/2026
My PhD student Jerry was selected for the SDM'26 Doctoral Forum
06/2026
Served as an NSF panelist multiple times in 2026
06/2026
A paper on domain-adapted LLMs for multi-level network modeling was accepted to
IEEE TNSE05/2026
Led the
Wolf AI Summer Bootcamp on modern AI for scientific and engineering applications
link05/2026
My PhD students Travis and Stephen received CS Graduate Merit Awards ($3,000 each)
04/2026
Preprint:
SIMBA, an AI platform for single-molecule multidimensional imaging
link04/2026
My undergraduate student Ethan received the NC State COE REU Award ($3,000)
04/2026
Co-organized the AI Training Workshop for Water Resources and Environmental Applications at
EWRI'26 link04/2026
Gave an invited talk at the NC State Food Science IPAC Meeting on AI for intelligent decision-making
03/2026
Awarded an NC State AI Innovation Summer Project grant ($7.5k; Co-PI) for human-AI interaction and assessment in creative computing
03/2026
Gave an invited talk at the NC State Food Science AI Forum on deep learning and AI agents
02/2026
Received the Dean's Applied AI Research Accelerator Award ($100k, PI) to advance scalable AI for automated scientific discovery
02/2026
Preprint: Execution-Driven Reasoning Augmentation for Mathematical Problem Solving in LLMs
link02/2026
Preprint: Exploration-Exploitation Optimization for Scalable Dataset Distillation
link02/2026
Preprint: SafeTalkCoach: Diversity-Driven Multi-Agent Simulation for Health Dialogue Generation
link02/2026
Our
ICLR'26 paper on adaptive LLM value measurement was selected for an
Oral Presentation (top 5%)
02/2026
Released
OceanAI, a retrieval-grounded conversational platform for scientific ocean data
web paper02/2026
A paper on unified token compression for joint generation and classification was accepted to
CVPR'2602/2026
Gave an invited talk in the MASBio AI Seminar Series on scalable and efficient AI systems
01/2026
A paper on project-based AI bias education tools was accepted to
CHI'2601/2026
A paper on deterministic agentic control for Open RAN was accepted to
ICC'2601/2026
A paper on AI as a design partner in creative computing was accepted to
ISLS'2601/2026
Two works on conversational ocean AI and multi-agent reporting were presented at
AMS'26 1 212/2025
Received the NSF NAIRR Pilot Award (PI) to scale trustworthy retrieval-augmented AI systems
11/2025
Received the CMI Ideation Award ($30k; Co-PI) for AI-enabled scientific imaging
11/2025
A paper on multi-scale topological learning for medical image classification was accepted to
WACV'2611/2025
Preprint: Inference-Scaled GraphRAG for Multi-Hop Knowledge Reasoning
link09/2025
Awarded an NSF ExLENT grant ($1M; Co-PI) for trustworthy and scalable generative AI in teaching and learning
08/2025
My undergraduate student Noah received the NC State COE REU Award ($3,000)
08/2025
Awarded a
DELTA grant to scale and evaluate trustworthy LLM agents for education
08/2025
Our work on AI-enabled single-molecule imaging denoising was featured on the cover of
Analytical Chemistry06/2025
A paper on non-overlap-aware pose estimation for multi-robot perception was selected for an
Oral at
IROS'2506/2025
Launched
ArtAlgo, an AI-supported creative coding platform
link05/2025
A paper on tool-augmented LLM agents for multimodal causal discovery was accepted to
ACL'2505/2025
A paper on real-time vision Transformers for mobile devices was accepted to
IJCV05/2025
A paper on LLM-augmented HPC I/O performance diagnosis was accepted to
SSDBM'2504/2025
Gave invited talks at
SAS and
NC State MSE on scalable and efficient agentic AI systems
04/2025
Received the Best Poster Award at the AAAI 2025 Spring Symposium on GenAI@Edge
03/2025
Awarded an internal grant from
NC State TELS for AI-powered creative computing research
03/2025
Received an NVIDIA Academic Grant Program Award for networked scientific simulation research
03/2025
My undergraduate student Aditya received the NC State COE REU Award ($3,000)
03/2025
MerryQuery won the
AAAI'25 Best Demonstration Award 03/2025
Our 2nd workshop on deep learning-hardware co-design for GenAI acceleration was accepted at
DAC'2502/2025
Our work
Adaptix on training-free accelerated LLM decoding was selected for an
Oral at
AAAI'2501/2025
Our work
IOAgent on LLM-powered HPC I/O diagnosis was accepted to
IPDPS'2501/2025
My undergraduate student
Noah had her work on LLM bias evaluation accepted at
NCUR'2512/2024
Selected for the AAAI New Faculty Highlights 2025
12/2024
Awarded an NC State Data Science and AI Academy grant (Co-PI) for responsible AI access to large environmental datasets
link12/2024
Our tutorial
Resource-Efficient Learning for the Web was accepted to
TheWebConf'2511/2024
Our paper on network-oriented LLMs won
Best Paper Award Runner-Up at
IPCCC'2411/2024
My undergraduate student Noah was selected for the AAAI'25 Undergraduate Consortium
11/2024
Gave invited talks at Purdue and NC State on Building Reliable Cost-Effective Sparse Models
11/2024
Our
GenAI@Edge Symposium was accepted to the AAAI 2025 Spring Symposium Series
link09/2024
A paper on black-box LLM-generated text detection was accepted to
NeurIPS'2408/2024
My undergraduate student Noah received the NC State COE REU Award ($3,000)
08/2024
Awarded an
NSF CyberTraining grant (Co-PI) for AI-driven cross-disciplinary training in environmental science
link07/2024
A paper on integrating LLMs into K-12 classrooms was accepted to
FIE'2407/2024
A paper on algorithm-hardware co-design for real-time vision Transformers was accepted to
CODES+ISSS'2407/2024
A paper on adaptive acceleration of diffusion generative models was accepted to
ECCV'2406/2024
Awarded an
NSF HEGS grant (Co-PI) for multimodal analysis of neighborhood dynamics
link06/2024
Received a research gift from Microsoft
06/2024
Led our 3rd workshop on integrating large language models into K-12 classrooms
news05/2024
A paper on digital twin-assisted reliable edge caching was accepted to
IEEE JSAC04/2024
A paper on LLM-powered code comprehension was accepted to
IJCAI'2404/2024
Served as an NSF panelist
03/2024
Our 2nd
RelKD Workshop on Resource-Efficient Learning was accepted at
KDD'2403/2024
Gave an invited talk at the NC State Forest Carbon Solutions Initiative on foundation models for geospatial analytics
03/2024
A paper on reliable sparse training was accepted to
TMLR03/2024
Received the
NC State Carla Savage Award news02/2024
A paper on explaining graph neural network predictions was accepted to
IEEE TPAMI02/2024
Our workshop on Deep Learning-Hardware Co-Design for Generative AI Acceleration was accepted at
DAC'2401/2024
Received the
Microsoft Accelerating Foundation Models Research Award news01/2024
Our 1st Workshop on Dataset Distillation for Computer Vision was accepted at
CVPR'2412/2023
A paper on large language model education was accepted to
AAAI/EAAI'2412/2023
A paper on neural architecture search for Spiking Transformers was accepted to
ICASSP'2411/2023
Our work
AGENT was selected for an
Oral at
CPAL'24 paper10/2023
Two papers on robust and controllable LLM pruning were accepted to
EMNLP'2309/2023
A paper on personalized federated learning was accepted to
NeurIPS'2309/2023
My undergraduate student Zihan received the NC State COE REU Award ($3,000)
08/2023
Served as an NSF panelist
08/2023
Released
Gentopia, a framework for collaborative and specialized LLM agents
paper code07/2023
Our work received the
Best Paper Award at
ICCCN'2307/2023
A paper was accepted to
ICCV'2307/2023
A paper was accepted to
CDC'2306/2023
Released
ReWOO, a modular reasoning framework for tool-augmented LLMs
code06/2023
Invited to serve as a Senior PC member for
AAAI'2405/2023
A paper was accepted to
KDD'2305/2023
A paper was accepted to
ACL'2304/2023
My undergraduate student
Zihan had a paper accepted to
ICAIBD'2303/2023
Our work
Acc.DD was selected as a
CVPR'23 Highlight (2.5%) paper03/2023
Co-chaired the 1st
RelKD Workshop on Resource-Efficient Learning at
KDD'2302/2023
Two papers on dynamic training were accepted to
DAC'2301/2023
Our work
Calibrated Rigged Lottery was accepted to
ICLR'23 paper01/2023
Our work
Efficient Informed Proposals for Discrete Distributions was accepted to
AISTATS'2311/2022
Two papers were accepted to
AAAI'2309/2022
Chaired the 1st Workshop on Deep Learning-Hardware Co-Design for AI Acceleration at
AAAI'2309/2022
Gave an invited talk at the University of Macau CIS Department
