Dongkuan (DK) Xu

Dongkuan (DK) Xu

Assistant Professor of Computer Science

NC State University

Seeking 1-2 PhD students for Fall 2027 — I am interested in working with students on efficient learning, reliable AI, and open-ended adaptation. Students from diverse backgrounds are encouraged to reach out. Email "PhD Fall 2027" with your CV.

I'm an Assistant Professor in Computer Science at NC State University, where I lead the Generative Intelligent Computing (GIC) Lab. My research studies learning in open-ended environments—settings in which relevant tasks, hypotheses, solution strategies, and operating conditions can expand or change through interaction. I ask how AI systems should decide what is worth exploring, what the available evidence supports, and what internal models or capabilities should change as new experience accumulates. These coupled questions connect my work on efficient learning, assurance at scale, and continual model evolution.

Selected honors: NC State College of Engineering Dean's Applied AI Research Accelerator Award 2026 · AAAI Best Demonstration Award 2025 · AAAI New Faculty Highlights 2025 · NVIDIA Academic Grant Program Award 2025 · Microsoft Accelerating Foundation Models Research Award 2024. Selected paper distinctions: ICLR 2026 Oral · AAAI 2025 Oral · IROS 2025 Oral · CPAL 2024 Oral · CVPR 2023 Highlight · IEEE IPCCC 2024 Best Paper Runner-Up · ICCCN 2023 Best Paper

I study these questions in digital, scientific, and physical environments where interaction changes both the evidence available to a system and the decisions it should make next. In scientific discovery, this means selecting experiments, interpreting uncertain observations, and revising hypotheses; in embodied systems, it means predicting how actions change a partially observed world and adapting from their consequences. I lead Gentopia and collaborate on SIMBA, OceanAI, MerryQuery, and ArtAlgo. Related collaborations in self-driving materials laboratories and multi-robot systems bring the same scientific questions into autonomous experimentation and physical interaction.

I received my Ph.D. from Penn State in 2022, advised by Xiang Zhang, after completing my M.S. at the University of Chinese Academy of Sciences and B.E. at Renmin University of China. I'm organizing the NC State CS AI Seminar Series this year, which brings world-leading researchers across AI, machine learning, and scientific computing to a broader research community.

Outside of work, I'm a fan of American football (Wolfpack, Nittany Lions, Eagles).

News

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 link
08/2026
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 link
07/2026
Organized the 3rd DCgAA Workshop on AI-Hardware Co-Design at DAC'26 link
07/2026
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 TNSE
05/2026
Led the Wolf AI Summer Bootcamp on modern AI for scientific and engineering applications link
05/2026
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 link
04/2026
A paper on robust spatio-temporal modeling for plant growth was accepted to Smart Agric. Technol.
04/2026
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 link
04/2026
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 link
02/2026
Preprint: Exploration-Exploitation Optimization for Scalable Dataset Distillation link
02/2026
Preprint: SafeTalkCoach: Diversity-Driven Multi-Agent Simulation for Health Dialogue Generation link
02/2026
Our ICLR'26 paper on adaptive LLM value measurement was selected for an Oral Presentation (top 5%)
02/2026
Invited to serve as New Faculty Highlights Chair at IEEE Big Data'26
02/2026
Released OceanAI, a retrieval-grounded conversational platform for scientific ocean data web paper
02/2026
A paper on unified token compression for joint generation and classification was accepted to CVPR'26
02/2026
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'26
01/2026
A paper on deterministic agentic control for Open RAN was accepted to ICC'26
01/2026
A paper on AI as a design partner in creative computing was accepted to ISLS'26
01/2026
Two works on conversational ocean AI and multi-agent reporting were presented at AMS'26 1 2
12/2025
Received the NSF NAIRR Pilot Award (PI) to scale trustworthy retrieval-augmented AI systems
12/2025
OceanAI was accepted to the WACV'26 Demo Track
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'26
11/2025
Preprint: Inference-Scaled GraphRAG for Multi-Hop Knowledge Reasoning link
09/2025
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 Chemistry
06/2025
A paper on non-overlap-aware pose estimation for multi-robot perception was selected for an Oral at IROS'25
06/2025
Launched ArtAlgo, an AI-supported creative coding platform link
05/2025
A paper on tool-augmented LLM agents for multimodal causal discovery was accepted to ACL'25
05/2025
A paper on real-time vision Transformers for mobile devices was accepted to IJCV
05/2025
A paper on LLM-augmented HPC I/O performance diagnosis was accepted to SSDBM'25
05/2025
A paper on generative AI-driven design for communication systems was accepted to IEEE Communications Magazine
04/2025
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'25
02/2025
Our work Adaptix on training-free accelerated LLM decoding was selected for an Oral at AAAI'25
01/2025
Our work IOAgent on LLM-powered HPC I/O diagnosis was accepted to IPDPS'25
01/2025
My undergraduate student Noah had her work on LLM bias evaluation accepted at NCUR'25
01/2025
Gave an invited talk at ABB Research Center: Advancing Real-World Edge Intelligence
12/2024
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 link
12/2024
Our tutorial Resource-Efficient Learning for the Web was accepted to TheWebConf'25
11/2024
Our paper on network-oriented LLMs won Best Paper Award Runner-Up at IPCCC'24
11/2024
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 link
11/2024
Our RelWeb workshop was accepted at TheWebConf'25 link
09/2024
A paper on black-box LLM-generated text detection was accepted to NeurIPS'24
09/2024
Gave an invited talk at ABB Research Center on agentic LLM diagnosis for manufacturing
08/2024
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 link
07/2024
A paper on integrating LLMs into K-12 classrooms was accepted to FIE'24
07/2024
A paper on algorithm-hardware co-design for real-time vision Transformers was accepted to CODES+ISSS'24
07/2024
A paper on adaptive acceleration of diffusion generative models was accepted to ECCV'24
06/2024
Awarded an NSF HEGS grant (Co-PI) for multimodal analysis of neighborhood dynamics link
06/2024
Received a research gift from Microsoft
06/2024
Led our 3rd workshop on integrating large language models into K-12 classrooms news
05/2024
A paper on digital twin-assisted reliable edge caching was accepted to IEEE JSAC
04/2024
A survey on large-model alignment was accepted to the IJCAI'24 Survey Track
04/2024
A paper on LLM-powered code comprehension was accepted to IJCAI'24
04/2024
A paper on diffusion model-augmented wireless networks was accepted to IFIP/IEEE Networking'24
04/2024
Served as an NSF panelist
03/2024
Our 2nd RelKD Workshop on Resource-Efficient Learning was accepted at KDD'24
03/2024
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 TMLR
03/2024
Received the NC State Carla Savage Award news
02/2024
A paper on explaining graph neural network predictions was accepted to IEEE TPAMI
02/2024
Our workshop on Deep Learning-Hardware Co-Design for Generative AI Acceleration was accepted at DAC'24
01/2024
Received the Microsoft Accelerating Foundation Models Research Award news
01/2024
Our 1st Workshop on Dataset Distillation for Computer Vision was accepted at CVPR'24
12/2023
A paper on large language model education was accepted to AAAI/EAAI'24
12/2023
A paper on neural architecture search for Spiking Transformers was accepted to ICASSP'24
11/2023
Our work AGENT was selected for an Oral at CPAL'24 paper
10/2023
Gentopia was accepted to the EMNLP'23 System Demo
10/2023
Two papers on robust and controllable LLM pruning were accepted to EMNLP'23
09/2023
A paper on personalized federated learning was accepted to NeurIPS'23
09/2023
My undergraduate student Zihan received the NC State COE REU Award ($3,000)
09/2023
Gave an invited talk at Microsoft Research Asia on collective growth in collaborative AI
09/2023
Invited to serve as an Area Chair for LREC-COLING'24
08/2023
Served as an NSF panelist
08/2023
Released Gentopia, a framework for collaborative and specialized LLM agents paper code
07/2023
Our work received the Best Paper Award at ICCCN'23
07/2023
A paper was accepted to ICCV'23
07/2023
A paper was accepted to CDC'23
06/2023
Released ReWOO, a modular reasoning framework for tool-augmented LLMs code
06/2023
Invited to serve as a Senior PC member for AAAI'24
05/2023
A paper was accepted to KDD'23
05/2023
A paper was accepted to ACL'23
04/2023
My undergraduate student Zihan had a paper accepted to ICAIBD'23
03/2023
Our work Acc.DD was selected as a CVPR'23 Highlight (2.5%) paper
03/2023
Co-chaired the 1st RelKD Workshop on Resource-Efficient Learning at KDD'23
02/2023
Two papers on dynamic training were accepted to DAC'23
01/2023
Our work Calibrated Rigged Lottery was accepted to ICLR'23 paper
01/2023
Our work Efficient Informed Proposals for Discrete Distributions was accepted to AISTATS'23
01/2023
Gave an invited talk at the Rutgers Efficient AI Seminar
11/2022
Two papers were accepted to AAAI'23
09/2022
Chaired the 1st Workshop on Deep Learning-Hardware Co-Design for AI Acceleration at AAAI'23
09/2022
Our work AutoDistil was accepted to NeurIPS'22 paper
09/2022
Gave an invited talk at the University of Macau CIS Department

Sponsors

We are very grateful for the valuable support from our sponsors and collaborators:

NSF
NSF NAIRR Pilot
NC State
NCSU Data Science Academy
NCSU DELTA
NCSU CMI
Microsoft
Nvidia