Chen Ling

About Me

Welcome! I’m Chen Ling, I obtained my Ph.D. in Computer Science at Emory University, where I fortunately worked with Professor Liang Zhao. Prior to that, I obtained my M.S. Degree in Computer Science at the University of Delaware and B.S. Degree in Computer Science at the University of Vermont. I have several experience in industry AI Labs, including Amazon AWS Guardduty, NEC Labs America, IBM Watson AI Lab, and iFlyTek.

My research encompasses Graph Mining, Natural Language Processing, and Applied Machine Learning. During the past few years, I am privileged to collaborate with amazing industry researchers from Amazon AWS, NEC Labs America, Microsoft Research, and IBM Research. My works have been published at top AI conferences, including ICML, KDD, ICLR, ACL, NAACL, EMNLP, TheWebConf (aka. WWW), ICDM, ECML-PKDD, etc.

Research Interests

• Graph Data Mining: Graph Representation Learning, Generative Models on Graphs, Graph Inverse Problems
• Machine Learning: Domain Generalization, Continual Learning
• Natural Language Processing: Applications of Large Language Model, Neural Machine Reasoning

News

• [Nov. 2024] Passed Ph.D. defense!
• [May. 2024] Two papers are accepted by KDD 2024 (Cross-network Source Localization) and ACL 2024 (Knowledge Distillation)!
• [Apr. 2024] Happy to be invited to present novel techniques on specializing LLMs in domain-specific applications at BlackRock Atlanta innovation hub (ATL iHub), slides can be found here.
• [Mar. 2024] Our survey paper on Domain Specialization of LLMs is honorably mentioned by The 2024 Economic Report of the President from the White House. Thanks to all collaborators, stay tuned!
• [Mar. 2024] One paper about LLM Uncertainty Decomposition is accepted by NAACL 2024.
• [Feb. 2024] I will join AWS Security Analytics and AI Research team as an Applied Scientist Intern at NYC in summer 2024!
• [Jan. 2024] Our paper about Influence Maximization on Multiplex Networks is accepted by AISTATS 2024.
• [Oct. 2023] Our paper about commonsense reasoning is accepted by EMNLP 2023!
• [Sep. 2023] Our LLM4Bio Workshop has been accepted by AAAI 2024. Call for Papers is here!

Selected Publications

Services

Conference/Workshop Organizer

• AAAI 2024: LLMs4Bio

Conference Reviewers/Program Committee

• ACL Rolling Review (ARR) Regular Reviewer
• International Conference on Learning Representations (ICLR) 2024
• ACM International Conference on Web Search and Data Mining (WSDM) 2024
• Neural Information Processing Systems (NeurIPS), 2022-2023
• SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021-2024

Journal Reviewers

• IEEE Transactions on Big Data (TBD)
• IEEE Transactions on Data Engineering (TKDE)
• ACM Transactions on Knowledge Discovery from Data (TKDD)

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