Dongkuan (DK) Xu

09/2024: A paper on black-box LLM-generated text detection was accepted to NeurIPS'24
09/2024: My mentored undergraduate, Precious Donkor, received the Federal Work-Study Award ($1,000)
09/2024: Will attend the 2024 Oak Ridge Lab’s Core Universities AI Workshop. Look forward to talking to other attendees
09/2024: Gave a talk at ABB Corporate Research Center, US: Agentic LLM Diagnostic Chatbot for SAP Manufacturing
09/2024: Released a blog & demo providing more details about ADED, an accelerated LLM decoding project
08/2024: My mentored undergraduate, Noah (Precious) Donkor, received COE REU Award ($3,000). Congrats Precious
08/2024: Will present four projects at the AI Engineering Symposium focusing on LLM Agents and RAG in the disciplines of Education, Health, Ethics, and Data Generation
08/2024: A paper on integrating LLMs with network simulators for script-free simulations was accepted to IPCCC'24
08/2024: Honored to be awarded a grant from the NSF CyberTraining program as a Co-PI to support AI-driven, cross-disciplinary training for sustainable environmental science research [link]
08/2024: Will attend the NSF CSSI/CyberTraining/SCIPE PI Meeting 2024. See you in Charlotte
07/2024: Will attend the NSF Workshop on Sustainable Computing 2024. See you at Purdue
07/2024: The research paper of our workshops on Integrating ChatGPT into K-12 Classrooms was accepted to FIE'24
07/2024: Our research work on accelerating LLM decoding via finetuning-free draft-verification is available [link] [code]
07/2024: Keynote speakers for RelKD workshop at KDD'24 were announced: Derek Cheng (Google DeepMind), Hanghang Tong (UIUC), Jing Gao (Purdue)
07/2024: A paper on algorithm-hardware co-design for real-time vision Transformer was accepted to CODES+ISSS'24
07/2024: A paper on accelerating diffusion generative models via adaptive computation was accepted to ECCV'24
06/2024: Honored to be awarded a grant from the NSF HEGS program as a Co-PI to support research on multimodal data analysis of neighborhood dynamics [link]
06/2024: Received additional funding from the Microsoft Accelerating Foundation Models Research
06/2024: Successfully concluded our 3rd workshop on integrating Large Language Models into K-12 classrooms [News]
06/2024: Our research work on black-box LLM detection is available [link]
06/2024: Our research work on scaling LLM with massive tools is available [link]
05/2024: Keynote speakers for DCgAA workshop at DAC'24 were announced: Andreas Andreou (JHU), Farinaz Koushanfar (UCSD), Massoud Pedram (USC), Vijay Janapa Reddi (Harvard), Zhibin Xiao (CASPA). See u in San Francisco!
05/2024: A paper on digital twin-assisted reliable edge caching for wireless networks was accepted to IEEE JSAC (IF=16.4)
04/2024: Will mentor Wake STEM Early College High School students in GCSP-REU Summer Program 2024
04/2024: A paper on big model alignment was accepted to 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: Invited to serve on the NSF Core Program panel
03/2024: The 2nd Workshop on Resource-Efficient Learning for Knowledge Discovery was accepted to KDD'24
03/2024: Gave a talk at NCSU Forest Carbon Solutions Initiative: Foundation Models for Geospatial Analytics
03/2024: Gave a talk at Fo Guang Shan Buddhist Temple [link]: Impact of AI on Our Lives and Beyond [News, in Chinese]
03/2024: A paper on reliable sparse training was accepted to Transactions on Machine Learning Research
03/2024: Received the The Carla Savage Award [News]
02/2024: A paper on explaining predictions made by graph neural networks was accepted to IEEE PAMI (IF=23.6)
02/2024: Workshop on Deep Learning-Hardware Co-Design for Generative AI Acceleration was accepted to DAC'24
02/2024: Our DDCV workshop@CVPR'24 is looking for submissions. We will offer 3 free registration for students!
02/2024: Received a Gift Fund from Microsoft
01/2024: Awarded the Microsoft Accelerating Foundation Models Research Award [News]
01/2024: Our proposal of The 1st Workshop on Dataset Distillation for Computer Vision was accepted to CVPR'24
12/2023: Gave a talk at STARS AI Scholars Program: How LLMs Work and Cutting-Edge Research on Generative AI
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 [link], was accepted to CPAL'24 as Oral Paper
10/2023: Gentopia was accepted to EMNLP'23 (System Demo)
10/2023: Two papers (Robust LLM Pruning + Controllable Randomized Pruning) were accepted to EMNLP'23
10/2023: A paper on code generation in domain-changing environments was accepted to EMNLP'23 Pan-DL Workshop
09/2023: A paper on personalized federated learning was accepted to NeurIPS'23
09/2023: My mentored undergraduate, Zihan, received COE REU Award ($3,000). Congrats Zihan.
09/2023: Gave a talk at Microsoft Research Asia: Sculpting the Future of Collective Growth in Collaborative AI
09/2023: Invited to serve as an Area Chair for LREC-COLING'24
08/2023: Invited to serve on the NSF CAREER panel
08/2023: Gave a talk at CoreNet Global: ChatGPT in Corporate Real Estate - Unlocking the Potential [link]
08/2023: Released a paper providing more details about Gentopia.AI
08/2023: Launched Gentopia.AI. Check out our teams from NCSU, GMU, CMU, UMich, etc.
07/2023: Honored to receive 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
07/2023: Our ChatGPT Education Workshops [link] are available (co-organized with Tiffany)
06/2023: Feel free to check out our ALM work, ReWOO (GitHub) (中文解读 1, 2, 3)
06/2023: Invited to serve as a Senior PC member of AAAI'24.
05/2023: A paper was accepted to KDD'23
05/2023: A paper was accepted to ACL'23
04/2023: Our work, E-App, was accepted to ICCCN'23. See u in Honolulu
04/2023: A paper was accepted to ICAIBD'23. Congrats to our undergrad, Zihan
03/2023: Our work, Acc.DD (paper), was selected as a Highlight (2.5%) of CVPR'23
03/2023: Will co-chair RelKD'23: Resource-Efficient Learning for Knowledge Discovery Workshop @KDD'23.
02/2023: Two papers on accelerating data/model learning were accepted to CVPR'23. Stay tuned ;-)
02/2023: Two papers on dynamic training were accepted to DAC'23.
01/2023: Our work, Calibrated Rigged Lottery, was accepted to ICLR'23.
01/2023: Our work, Efficient Informed Proposals for Discrete Distributions, was accepted to AISTATS'23.
01/2023: Invited to give a talk at Rutgers EFficient AI (REFAI) Seminar on Feb 16, 2023.
12/2022: Invited to serve as a journal reviewer for TPAMI and Communications of the ACM.
11/2022: Invited to serve as the PC Chair for MLNLP 2022.
11/2022: Two papers were accepted to AAAI'23. See you in DC in February
10/2022: Invited to serve as a TPC member for ISQED'23.
09/2022: Will chair The First Workshop on DeepLearning-Hardware Co-Design for AI Acceleration with AAAI'23
09/2022: Our work, AutoDistil (paper), was accepted to NeurIPS'22.
09/2022: Invited to give a talk at the CIS Department of the University of Macau.
07/2022: Will chair a Research session (Deep Learning: New Architectures and Models) and an Applied Data Science session (Scalable, Distributed Systems & Trustable AI) of KDD'22. Super welcome!
07/2022: Will be teachinng CSC 791 Advanced Topics in Efficient Deep Learning at NC State this fall. Feel free to attend!
07/2022: A paper, S4: a High-sparsity, High-performance AI Accelerator (paper), was accepted to SNN'22
07/2022: Invited to serve as a (Senior) PC member for AAAI'23. and ICLR'23.
06/2022: Invited to serve as a Column Editor for ACM SIGAI Newsletter.
06/2022: Invited to give a talk at Pinterest (Pinterest Machine Learning Lunch) on August 18, 2022.
06/2022: Invited to give a talk at 中科院深圳先进技术研究院 on June 27, 2022.
06/2022: Invited to serve as a PC member for WSDM'23, LoG'22, and AACL-IJCNLP'22.
05/2022: Invited to serve as a PC member for COLING'22 and a reviewer for the journal TNNLS.
05/2022: Invited to give a talk at Amazon Search (A9) on May 20, 2022. ("5.20" >.< "我爱你")
04/2022: Invited to give a talk at 将门创投 on May 24, 2022. Welcome!
04/2022: Invited to give a talk at Vanderbilt University's Machine Learning Lunch Seminar on May 09, 2022.
04/2022: Invited to give a talk at Renmin University of China in May 2022.
04/2022: Invited to give a talk at Shenzhen University in May 2022.
04/2022: A new US patent application: Bank-balanced-sparse Activation for Deep NN Models.
04/2022: Invited to give a talk at University of Connecticut on April 27, 2022.
04/2022: Invited to give a talk at UCAS (中国科学院大学) on April 25, 2022.
04/2022: Invited to give a talk at New York Institute of Technology's Research Seminar Series.
04/2022: Organizing MLNLP Community's 6th Academic Seminar.
04/2022: Third place winner (Eng.) in the 37rd annual PSU Graduate Exhibition (News).
03/2022: Invited to serve as a PC member for NeurIPS'22.
02/2022: A paper, Sparse Progressive Distillation (code, paper), was accepted to ACL'22
02/2022: Invited to serve as a PC member for CIKM'22.
12/2021: Thanks to MLNLP (机器学习与自然语言处理) for reporting our work SparseBERT.
12/2021: Code released for SparseBERT (NAACL'21) (code, paper)! Feel free to use it.
12/2021: Invited to serve as a PC member for ICML'22.
12/2021: Invited to give a talk "Parameter Efficiency: Democratizing AI at Scale" at Brandeis University (slides).
11/2021: Invited to serve as a PC member for KDD'22 (both Research and Applied Science Tracks).
10/2021: Our ML&NLP academic community is officially launched (>500k followers).
10/2021: Received IST Fall 2021 Travel Award.
09/2021: Our work, InfoGCL, was accepted to NeurIPS'21
08/2021: Invited to serve as PC member for AAAI'22, ACL Rolling Review'22., SDM'22.
07/2021: Received complimentary ACM student membership. Thanks you ACM.
06/2021: Invited to serve as a PC member for ICLR'22, WSDM'22, IJCAI-ECAI'22.
05/2021: Received NAACL 2021 Scholarship.
05/2021: A paper was accepted to ACL'21!
05/2021: Excited to join Microsoft Research as a research intern working on neural architecture search.
04/2021: Gave a talk titled "BERT Pruning: Structural vs. Sparse" at Brandeis University (slides).
04/2021: Gave a talk titled "BERT, Compression and Applications" at Xpeng Motors (小鹏汽车) (slides).
03/2021: My application to SDM'21 Doctoral Forum has been accepted.
03/2021: Received a SIAM Student Travel Award to attend SDM'21.
03/2021: Our work, SparseBERT, was accepted to NAACL'21. Along with three U.S. patent applications
03/2021: Invited to serve as a PC member for NeurIPS'21, EMNLP'21, CIKM'21.
03/2021: Received IST Spring 2021 Travel Award.
12/2020: A paper was accepted to SDM'21.
12/2020: Invited to serve as a Senior PC member for IJCAI'21.
12/2020: Four papers were accepted to AAAI'21.
12/2020: Invited to serve as a PC member for ICML'21, KDD'21, NAACL'21, IJCNN'21.
09/2020: Our work, PGExplainer, was accepted to NeurIPS'20.
08/2020: Invited to serve as a PC member for AAAI'21, EACL'21, a journal reviewer for Information Fusion.
08/2020: Received KDD 2020 Student Registration Award.
06/2020: Invited to serve as a reviewer for NeurIPS'20.
05/2020: Happy to join Moffett AI as an intern research scientist.
04/2020: A paper was accepted to SIGIR'20.
03/2020: Invited to serve as a PC member for EMNLP'20, KDD'20, CIKM'20, AACL-IJCNLP'20.
02/2020: Received IST Spring 2020 Travel Award.
12/2019: Invited to serve as a PC member for IJCAI'20, IJCNN'20.
12/2019: Received AAAI 2020 Student Scholarship.
11/2019: Two papers were accepted to AAAI'20. See you in the Big Apple.
08/2019: Invited to serve as a PC member for AAAI'20.
08/2019: A paper was accepted to ICDM'19.
05/2019: A paper was accepted to IJCAI'19.
05/2019: Happy to join NEC Labs America as a research intern.
03/2019: Received IST Spring 2019 Travel Award.
01/2019: Grateful to receive The Award for Excellence in Teaching, IST (News).
01/2019: Invited to serve as a PC member for IJCNN'19.
12/2018: A paper was accepted to SDM'19. See you in Calgary.
05/2018: Started working at NEC Labs America as a research intern.

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