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2020 – today
- 2024
[j3]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): 3744 (2024)- [c6]Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar:
Two-stage LLM Fine-tuning with Less Specialization and More Generalization. ICLR 2024 - 2023
- [c5]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: 1774-1793 - [c4]Chenyan Xue, Daliang Li, Difei Wang, Ling Wang:
A Task Scheduling for Digital Array Radar Based on Reinforcement learning. ICCCS 2023: 120-125 - [c3]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 - [i7]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 abs/2312.10003 (2023) - 2022
- [i6]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:
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers. CoRR abs/2210.06313 (2022) - [i5]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 abs/2211.00635 (2022) - [i4]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 abs/2211.05110 (2022) - 2021
- [j2]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): 4107-4116 (2021) - [c2]Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
Understanding Robustness of Transformers for Image Classification. ICCV 2021: 10211-10221 - [i3]Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
Understanding Robustness of Transformers for Image Classification. CoRR abs/2103.14586 (2021) - 2020
- [j1]Jie Li, Liyan Zhang, Yang Wang, Fei Li, Daliang Li, Yang Han:
Deep Fusion Feature Extraction and Classification of Pellet Phase. IEEE Access 8: 75428-75436 (2020) - [i2]Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar:
Modifying Memories in Transformer Models. CoRR abs/2012.00363 (2020)
2010 – 2019
- 2019
- [i1]Daliang Li, Junpu Wang:
FedMD: Heterogenous Federated Learning via Model Distillation. CoRR abs/1910.03581 (2019)
2000 – 2009
- 2007
- [c1]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: 457-459
Coauthor Index
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