Daliang Li

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 15

Top Topics

Image Classification

Prefrontal Cortex

Reinforcement Learning

Top Venues

Publications

Chenqian Ye, Axue Wang, Yuxin Lu, Xinye Lin, Luqiang Huang, Daliang Li
Practical NIR Assay Derived from Cyanine to Evaluate Intracellular H2S in Living Cell Imaging. Sensors 24 (12) (2024)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR (2024)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. ACL (Findings) (2023)
Chenyan Xue, Daliang Li, Difei Wang, Ling Wang
A Task Scheduling for Digital Array Radar Based on Reinforcement learning. ICCCS (2023)
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
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers. ICLR (2023)
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
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent. CoRR (2023)
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
Preserving In-Context Learning ability in Large Language Model Fine-tuning. CoRR (2022)
Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix X. Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR (2022)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
Large Language Models with Controllable Working Memory. CoRR (2022)
Jie Li, Wen-Qiang Liu, Yang Han, Wei-Xing Liu, Ai-Min Yang, Fei Li, Daliang Li
Dynamic Compensation Model of BF Slag Homogenization Thermal Based on Advanced Deep Learning Algorithm. IEEE Trans. Ind. Informatics 17 (6) (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
Understanding Robustness of Transformers for Image Classification. ICCV (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
Understanding Robustness of Transformers for Image Classification. CoRR (2021)
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar
Modifying Memories in Transformer Models. CoRR (2020)
Jie Li, Liyan Zhang, Yang Wang, Fei Li, Daliang Li, Yang Han
Deep Fusion Feature Extraction and Classification of Pellet Phase. IEEE Access 8 (2020)
Daliang Li, Junpu Wang
FedMD: Heterogenous Federated Learning via Model Distillation. CoRR (2019)
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
Design of the Next-Generation Medical Implants with Communication Energy and Ports. MMVR (2007)