Lin Ning

According to our database, Lin Ning authored at least 18 papers between 2017 and 2025.

Collaborative distances:

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

2025

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning.

Yuhan Liu, Lin Ning, Neo Wu, Karan Singhal, Philip Andrew Mansfield, Devora Berlowitz, Sushant Prakash, Bradley Green

CoRR, May, 2025

User-LLM: Efficient LLM Contextualization with User Embeddings.

Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts.

Lin Ning, Harsh Lara, Meiqi Guo, Abhinav Rastogi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.

Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches.

Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green

CoRR, 2024

2022

General Reuse-Centric CNN Accelerator.

Nihat Mert Cicek, Lin Ning, Ozcan Ozturk, Xipeng Shen

IEEE Trans. Computers, 2022

Mixed Federated Learning: Joint Decentralized and Centralized Learning.

Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews

CoRR, 2022

EANA: Reducing Privacy Risk on Large-scale Recommendation Models.

Lin Ning, Steve Chien, Shuang Song, Mei Chen, Yunqi Xue, Devora Berlowitz

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

What Do We Mean by Generalization in Federated Learning?

Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Learning Federated Representations and Recommendations with Limited Negatives.

Lin Ning, Karan Singhal, Ellie X. Zhou, Sushant Prakash

CoRR, 2021

Simple Augmentation Goes a Long Way: ADRL for DNN Quantization.

Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen

Proceedings of the 9th International Conference on Learning Representations, 2021

Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone.

Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

In-Place Zero-Space Memory Protection for CNN.

Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep reuse: streamline CNN inference on the fly via coarse-grained computation reuse.

Lin Ning, Xipeng Shen

Proceedings of the ACM International Conference on Supercomputing, 2019

Adaptive Deep Reuse: Accelerating CNN Training on the Fly.

Lin Ning, Hui Guan, Xipeng Shen

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.

Lin Ning, Randall Pittman, Xipeng Shen

Neural Networks, 2018

2017

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction.

Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen

Proceedings of the 38th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2017

POSTER: Cutting the Fat: Speeding Up RBM for Fast Deep Learning Through Generalized Redundancy Elimination.

Lin Ning, Randall Pittman, Xipeng Shen

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017