Runjin Chen

According to our database, Runjin Chen authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems.

Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao

CoRR, 2024

Enhancing Item Tokenization for Generative Recommendation through Self-Improvement.

Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao

CoRR, 2024

Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding.

Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang

CoRR, 2024

Q-Hitter: A Better Token Oracle for Efficient LLM Inference via Sparse-Quantized KV Cache.

Zhenyu Zhang, Shiwei Liu, Runjin Chen, Bhavya Kailkhura, Beidi Chen, Atlas Wang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

LLaGA: Large Language and Graph Assistant.

Runjin Chen, Tong Zhao, Ajay Kumar Jaiswal, Neil Shah, Zhangyang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2022

GCF-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

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GNEM: A Generic One-to-Set Neural Entity Matching Framework.

Runjin Chen, Yanyan Shen, Dongxiang Zhang

Proceedings of the WWW '21: The Web Conference 2021, 2021

2019

Towards a Deep and Unified Understanding of Deep Neural Models in NLP.

Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie

Proceedings of the 36th International Conference on Machine Learning, 2019

Explaining Neural Networks Semantically and Quantitatively.

Runjin Chen, Hao Chen, Ge Huang, Jie Ren, Quanshi Zhang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019