Daliang Li

According to our database, Daliang Li authored at least 14 papers between 2007 and 2024.

Collaborative distances:

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

2024

Practical NIR Assay Derived from Cyanine to Evaluate Intracellular H2S in Living Cell Imaging.

Chenqian Ye, Axue Wang, Yuxin Lu, Xinye Lin, Luqiang Huang, Daliang Li

Sensors, June, 2024

Two-stage LLM Fine-tuning with Less Specialization and More Generalization.

Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.

Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar

CoRR, 2023

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.

Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Task Scheduling for Digital Array Radar Based on Reinforcement learning.

Chenyan Xue, Daliang Li, Difei Wang, Ling Wang

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

Large Language Models with Controllable Working Memory.

Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Preserving In-Context Learning ability in Large Language Model Fine-tuning.

Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar

CoRR, 2022

Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers.

Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar

CoRR, 2022

2021

Dynamic Compensation Model of BF Slag Homogenization Thermal Based on Advanced Deep Learning Algorithm.

Jie Li, Wen-Qiang Liu, Yang Han, Wei-Xing Liu, Aimin Yang, Fei Li, Daliang Li

IEEE Trans. Ind. Informatics, 2021

Understanding Robustness of Transformers for Image Classification.

Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Modifying Memories in Transformer Models.

Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar

CoRR, 2020

Deep Fusion Feature Extraction and Classification of Pellet Phase.

Jie Li, Liyan Zhang, Yang Wang, Fei Li, Daliang Li, Yang Han

IEEE Access, 2020

2019

FedMD: Heterogenous Federated Learning via Model Distillation.

Daliang Li, Junpu Wang

CoRR, 2019

2007

Design of the Next-Generation Medical Implants with Communication Energy and Ports.

Mingui Sun, Steven A. Hackworth, Zhide Tang, Jun Zhao, Daliang Li, Sharon E. Enos, Brian Errigo, Gary Gilbert, Ronald Marchessault, Sylvain Cardin, Troy Turner, Robert J. Sclabassi

Proceedings of the Medicine Meets Virtual Reality 15, 2007