Hongliang Chi

According to our database, Hongliang Chi authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

In-Context Probing for Membership Inference in Fine-Tuned Language Models.

Zhexi Lu, Hongliang Chi, Nathalie Baracaldo, Swanand Ravindra Kadhe, Yuseok Jeon, Lei Yu

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks.

Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma

SIGKDD Explor., December, 2025

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking.

Liangliang Zhang, Zhuorui Jiang, Hongliang Chi, Haoyang Chen, Mohammed Elkoumy, Fali Wang, Qiong Wu, Zhengyi Zhou, Shirui Pan, Suhang Wang, Yao Ma

CoRR, May, 2025

Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making.

Hongliang Chi, Qiong Wu, Zhengyi Zhou, Jonathan Light, Emily Dodwell, Yao Ma

CoRR, February, 2025

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation.

Hongliang Chi, Qiong Wu, Zhengyi Zhou, Yao Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Precedence-Constrained Winter Value for Effective Graph Data Valuation.

Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Active Learning for Graphs with Noisy Structures.

Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Enhancing Contrastive Learning on Graphs with Node Similarity.

Hongliang Chi, Yao Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2022

Enhancing Graph Contrastive Learning with Node Similarity.

Hongliang Chi, Yao Ma

CoRR, 2022