Lin Ning

25 papers A* 8A 2B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone.
ACM Trans. Knowl. Discov. Data
Hui Guan, Umang Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen
2025 J jnl
Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning.
CoRR
Yuhan Liu, Lin Ning, Neo Wu, Karan Singhal, Philip Andrew Mansfield, Devora Berlowitz, Sushant Prakash, Bradley Green
2025 — conf
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts.
NAACL (Findings)
Lin Ning, Harsh Lara, Meiqi Guo, Abhinav Rastogi
2025 A* conf
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.
AAAI
Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2025 — conf
User-LLM: Efficient LLM Contextualization with User Embeddings.
WWW (Companion Volume)
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024 J jnl
MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts.
CoRR
Lin Ning, Harsh Lara, Meiqi Guo, Abhinav Rastogi
2024 J jnl
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.
CoRR
Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2024 J jnl
User-LLM: Efficient LLM Contextualization with User Embeddings.
CoRR
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024 J jnl
UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches.
CoRR
Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green
2022 A conf
EANA: Reducing Privacy Risk on Large-scale Recommendation Models.
RecSys
Lin Ning, Steve Chien, Shuang Song, Mei Chen, Yunqi Xue, Devora Berlowitz
2022 J jnl
General Reuse-Centric CNN Accelerator.
IEEE Trans. Computers
Nihat Mert Cicek, Lin Ning, Ozcan Ozturk, Xipeng Shen
2022 J jnl
Mixed Federated Learning: Joint Decentralized and Centralized Learning.
CoRR
Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews
2022 A* conf
What Do We Mean by Generalization in Federated Learning?
ICLR
Honglin Yuan, Warren Richard Morningstar, Lin Ning, Karan Singhal
2021 J jnl
Learning Federated Representations and Recommendations with Limited Negatives.
CoRR
Lin Ning, Karan Singhal, Ellie X. Zhou, Sushant Prakash
2021 A* conf
Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone.
ICDM
Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen
2021 A* conf
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization.
ICLR
Lin Ning, Guoyang Chen, Weifeng Zhang, Xipeng Shen
2021 J jnl
What Do We Mean by Generalization in Federated Learning?
CoRR
Honglin Yuan, Warren R. Morningstar, Lin Ning, Karan Singhal
2019 A* conf
Adaptive Deep Reuse: Accelerating CNN Training on the Fly.
ICDE
Lin Ning, Hui Guan, Xipeng Shen
2019 A conf
Deep reuse: streamline CNN inference on the fly via coarse-grained computation reuse.
ICS
Lin Ning, Xipeng Shen
2019 A* conf
In-Place Zero-Space Memory Protection for CNN.
NeurIPS
Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2019 J jnl
In-Place Zero-Space Memory Protection for CNN.
CoRR
Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2018 J jnl
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.
Neural Networks
Lin Ning, Randall Pittman, Xipeng Shen
2017 A* conf
Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction.
PLDI
Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen
2017 A* conf
LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine.
ICDM
Lin Ning, Randall Pittman, Xipeng Shen
2017 B conf
POSTER: Cutting the Fat: Speeding Up RBM for Fast Deep Learning Through Generalized Redundancy Elimination.
PACT
Lin Ning, Randall Pittman, Xipeng Shen