User profiles for Sijie Cheng
Sijie Cheng (程思婕)Tsinghua University Verified email at mails.tsinghua.edu.cn Cited by 215 |
[HTML][HTML] Selection of logging-based TOC calculation methods for shale reservoirs: A case study of the Jiaoshiba shale gas field in the Sichuan Basin
R Huang, Y Wang, S Cheng, S Liu, L Cheng - Natural Gas Industry B, 2015 - Elsevier
Various methods are available for calculating the TOC of shale reservoirs with logging data,
and each method has its unique applicability and accuracy. So it is especially important to …
and each method has its unique applicability and accuracy. So it is especially important to …
Development of a lifetime prediction model for lithium thionyl chloride batteries based on an accelerated degradation test
S Cheng, B Li, Z Yuan, F Zhang, J Liu - Microelectronics Reliability, 2016 - Elsevier
Battery life prediction is critical for lithium/thionyl chloride cells with a long storage life. The
objective of this study was to develop models for rapidly estimating the storage life of Li/SOCl …
objective of this study was to develop models for rapidly estimating the storage life of Li/SOCl …
High quantum yield nitrogen and boron co-doped carbon dots for sensing Ag+, biological imaging and fluorescent inks
S Cheng, J Zhang, Y Liu, Y Wang, Y Xiao… - Analytical Methods, 2021 - pubs.rsc.org
Herein, bright blue-green fluorescent nitrogen and boron co-doped carbon dots (N, B-CDs)
with a quantum yield (QY) up to 33.04% were synthesized viahydrothermal treatment from …
with a quantum yield (QY) up to 33.04% were synthesized viahydrothermal treatment from …
Activated platelet-homing nanoplatform for targeting magnetic resonance imaging of aneurysm-related thrombus in rabbits
Y Zhang, S Cheng, Y He, C Tang, F Liu… - … Applied Materials & …, 2021 - ACS Publications
Thrombosis is closely related to the instability of intracranial aneurysm (IA), whose rupture is
associated with high morbidity and mortality. It is difficult to detect an IA-related thrombus …
associated with high morbidity and mortality. It is difficult to detect an IA-related thrombus …
Openchat: Advancing open-source language models with mixed-quality data
Nowadays, open-source large language models like LLaMA have emerged. Recent
developments have incorporated supervised fine-tuning (SFT) and reinforcement learning fine-…
developments have incorporated supervised fine-tuning (SFT) and reinforcement learning fine-…
Voltage Decay of Li‐Rich Layered Oxides: Mechanism, Modification Strategies, and Perspectives
Li‐rich layered oxides (LLOs) have been considered as the most promising cathode materials
for achieving high energy density Li‐ion batteries. However, they suffer from continuous …
for achieving high energy density Li‐ion batteries. However, they suffer from continuous …
Say what you mean! large language models speak too positively about negative commonsense knowledge
Large language models (LLMs) have been widely studied for their ability to store and utilize
positive knowledge. However, negative knowledge, such as "lions don't live in the ocean", is …
positive knowledge. However, negative knowledge, such as "lions don't live in the ocean", is …
Fedgems: Federated learning of larger server models via selective knowledge fusion
Today data is often scattered among billions of resource-constrained edge devices with
security and privacy constraints. Federated Learning (FL) has emerged as a viable solution to …
security and privacy constraints. Federated Learning (FL) has emerged as a viable solution to …
One-step synthesis of N, S-doped carbon dots with orange emission and their application in tetracycline antibiotics, quercetin sensing, and cell imaging
S Cheng, J Zhang, Y Liu, Y Wang, Y Xiao, Y Zhang - Microchimica Acta, 2021 - Springer
Water soluble N, S-doped carbon dots (N, S-CDs) with orange emission were synthesized
from basic fuchsin and sulfosalicylic acid by the typical hydrothermal route. Based on the …
from basic fuchsin and sulfosalicylic acid by the typical hydrothermal route. Based on the …
Prompt-guided retrieval augmentation for non-knowledge-intensive tasks
Retrieval-augmented methods have received increasing attention to support downstream
tasks by leveraging useful information from external resources. Recent studies mainly focus on …
tasks by leveraging useful information from external resources. Recent studies mainly focus on …