| 2025 | EMNLP | Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models. | HyeongSik Kim, Xu Yanheng, Chaoqun Dong, Fei Du |
| 2023 | ACL | A Textual Dataset for Situated Proactive Response Selection. | Naoki Otani, Jun Araki, HyeongSik Kim, Eduard H. Hovy |
| 2019 | SC | Semantic query transformations for increased parallelization in distributed knowledge graph query processing. | HyeongSik Kim, Abhisha Bhattacharyya, Kemafor Anyanwu |
| 2018 | WETICE | Scalable Exploratory Search on Knowledge Graphs Using Apache Spark. | Avimanyu Mukhopadhyay, HyeongSik Kim, Kemafor Anyanwu |
| 2017 | WWW | Type-based Semantic Optimization for Scalable RDF Graph Pattern Matching. | HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu |
| 2016 | EDBT | Optimization of Complex SPARQL Analytical Queries. | Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu |
| 2013 | WWW | Optimizing RDF(S) queries on cloud platforms. | HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu |
| 2012 | SIGMOD | To nest or not to nest, when and how much: representing intermediate results of graph pattern queries in MapReduce based processing. | Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu |