Gangda Deng

According to our database, Gangda Deng authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

EvoClaw: Evaluating AI Agents on Continuous Software Evolution.

Gangda Deng, Zhaoling Chen, Zhongming Yu, Haoyang Fan, Yuhong Liu, Yuxin Yang, Dhruv Parikh, Rajgopal Kannan, Le Cong, Mengdi Wang, Qian Zhang, Viktor K. Prasanna, Xiangru Tang, Xingyao Wang

CoRR, March, 2026

SPARC-RAG: Adaptive Sequential-Parallel Scaling with Context Management for Retrieval-Augmented Generation.

Yuxin Yang, Gangda Deng, Ömer Faruk Akgül, Nima Chitsazan, Yash Govilkar, Akasha Tigalappanavara, Shi-Xiong Zhang, Sambit Sahu, Viktor Prasanna

CoRR, February, 2026

2025

Training Diverse Graph Experts for Ensembles: A Systematic Empirical Study.

Gangda Deng, Yuxin Yang, Ömer Faruk Akgül, Hanqing Zeng, Yinglong Xia, Rajgopal Kannan, Viktor K. Prasanna

CoRR, October, 2025

LocAgent: Graph-Guided LLM Agents for Code Localization.

Zhaoling Chen, Xiangru Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor K. Prasanna, Arman Cohan, Xingyao Wang

CoRR, March, 2025

AP Selection in Uplink Cell-Free Massive MIMO: An Unsupervised Heterogeneous GNN Approach.

Yuhong Liu, Gangda Deng, Hongkuan Zhou, Cauligi S. Raghavendra, Rajgopal Kannan, Ananthram Swami, Viktor K. Prasanna

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

LocAgent: Graph-Guided LLM Agents for Code Localization.

Zhaoling Chen, Robert Tang, Gangda Deng, Fang Wu, Jialong Wu, Zhiwei Jiang, Viktor K. Prasanna, Arman Cohan, Xingyao Wang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Learning Personalized Scoping for Graph Neural Networks under Heterophily.

Gangda Deng, Hongkuan Zhou, Rajgopal Kannan, Viktor K. Prasanna

CoRR, 2024

TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning.

Gangda Deng, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Christopher Leung, Jianbo Li, Rajgopal Kannan, Viktor K. Prasanna

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

A Unified CPU-GPU Protocol for GNN Training.

Yi-Chien Lin, Gangda Deng, Viktor K. Prasanna

Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024

2023

PairGNNs: enabling graph neural networks with pair-based view.

Chenhuan Yu, Gangda Deng, Ning Gui

Neural Comput. Appl., February, 2023

An Efficient Distributed Graph Engine for Deep Learning on Graphs.

Gangda Deng, Ömer Faruk Akgül, Hongkuan Zhou, Hanqing Zeng, Yinglong Xia, Jianbo Li, Viktor K. Prasanna

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023