Junxiang Wang is a researcher at NEC Laboratories America. He received his Ph.D. from the Department of Computer Science at Emory University in 2022. Before that, he received his Master’s and Bachelor’s degrees from George Mason University in 2020 and East China Normal University in 2012, respectively. His research interests include data mining in social media, inverse problems on graphs, and nonconvex optimization in deep learning. He has published various research papers in top-tier conferences and journals such as ICML, NeurIPS, KDD, ICDM, WWW, AAAI, Proceedings of the IEEE, and TNNLS. He has been invited to present his works at several optimization conferences.

Email: junxiang.wang@alumni.emory.edu

News

2024/3: Our LLM domain specialization survey paper has been cited in the 2024 Economic Report of the President.

2023/9: One paper is accepted by NeurIPS 2023.

2023/7: The benchmark datasets for graph source localization are now available here!

2023/6: Our survey paper “Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models” is available online.

2023/5: One paper is accepted by ICML 2023.

2022/12: One paper is accepted by SDM 2023.

2022/11: I passed the dissertation defense. Officially Dr. Wang!

2022/11: One paper is accepted by TNNLS.