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Runjin Chen

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

9

Venues

5

Active years

2019–2025

Best venue rank

A*

Where they publish

Papers

9 indexed papers, newest first.

YearVenueTitleAuthors
2025ICMLLearning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning.Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025ICMLFrom Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications.Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang
2025NAACLExtracting and Understanding the Superficial Knowledge in Alignment.Runjin Chen, Gabriel J. Perin, Xuxi Chen, Xilun Chen, Yan Han, Nina S. T. Hirata, Junyuan Hong, Bhavya Kailkhura
2025WWWGraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao
2024ICMLLLaGA: Large Language and Graph Assistant.Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang
2022CIKMGCF-RD: A Graph-based Contrastive Framework for Semi-Supervised Learning on Relational Databases.Runjin Chen, Tong Li, Yanyan Shen, Luyu Qiu, Kaidi Li, Caleb Chen Cao
2021WWWGNEM: A Generic One-to-Set Neural Entity Matching Framework.Runjin Chen, Yanyan Shen, Dongxiang Zhang
2019ICCVExplaining Neural Networks Semantically and Quantitatively.Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang
2019ICMLTowards a Deep and Unified Understanding of Deep Neural Models in NLP.Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie