Yao Shu
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View article: Fe <sub>3</sub> O <sub>4</sub> @DMSA@GOx/DOX@RCM@FA: A ferroptosis-mediated multifunctional biomimetic nanosystem for precision theranostics in ovarian cancer
Fe <sub>3</sub> O <sub>4</sub> @DMSA@GOx/DOX@RCM@FA: A ferroptosis-mediated multifunctional biomimetic nanosystem for precision theranostics in ovarian cancer Open
Ovarian cancer (OC), the most lethal gynecological malignancy, has a poor prognosis due to the lack of effective treatments. Recent studies indicate that ferroptosis, a form of regulated cell death driven by iron accumulation and lipid per…
View article: Self-Reflective Generation at Test Time
Self-Reflective Generation at Test Time Open
Large language models (LLMs) increasingly solve complex reasoning tasks via long chain-of-thought, but their forward-only autoregressive generation process is fragile; early token errors can cascade, which creates a clear need for self-ref…
View article: FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits
FedPOB: Sample-Efficient Federated Prompt Optimization via Bandits Open
The performance of large language models (LLMs) is highly sensitive to the input prompt, making prompt optimization a critical task. However, real-world application is hindered by three major challenges: (1) the black-box nature of powerfu…
View article: T-POP: Test-Time Personalization with Online Preference Feedback
T-POP: Test-Time Personalization with Online Preference Feedback Open
Personalizing large language models (LLMs) to individual user preferences is a critical step beyond generating generically helpful responses. However, current personalization methods are ill-suited for new users, as they typically require …
View article: The onset mechanism of flash sintering in Al <sub>2</sub> O <sub>3</sub> –8YSZ composites
The onset mechanism of flash sintering in Al <sub>2</sub> O <sub>3</sub> –8YSZ composites Open
Understanding the onset mechanism of flash sintering is essential for advancing electric-field-assisted sintering technologies. Herein, the onset temperature of flash sintering (FS) was examined for alumina–8 mol% yttria-stabilized zirconi…
View article: Zeroth-Order Optimization is Secretly Single-Step Policy Optimization
Zeroth-Order Optimization is Secretly Single-Step Policy Optimization Open
Zeroth-Order Optimization (ZOO) provides powerful tools for optimizing functions where explicit gradients are unavailable or expensive to compute. However, the underlying mechanisms of popular ZOO methods, particularly those employing rand…
View article: Enhancing combustion performance of Al-H2O gelled propellants via polytetrafluoroethylene
Enhancing combustion performance of Al-H2O gelled propellants via polytetrafluoroethylene Open
Aluminum–water (Al-H2O) propellants are a novel class of solid propellants characterized by low cost and low signature observability. However, the inherently high aluminum content in these formulations often leads to severe agglomeration o…
View article: The onset mechanism of flash sintering dense 8YSZ
The onset mechanism of flash sintering dense 8YSZ Open
View article: Refining Adaptive Zeroth-Order Optimization at Ease
Refining Adaptive Zeroth-Order Optimization at Ease Open
Recently, zeroth-order (ZO) optimization plays an essential role in scenarios where gradient information is inaccessible or unaffordable, such as black-box systems and resource-constrained environments. While existing adaptive methods such…
View article: Single-cell mitophagy patterns within the tumor microenvironment modulate intercellular communication, impacting the progression and prognosis of hepatocellular carcinoma
Single-cell mitophagy patterns within the tumor microenvironment modulate intercellular communication, impacting the progression and prognosis of hepatocellular carcinoma Open
Background Hepatocellular carcinoma (HCC) is a common malignant tumor of the digestive system with a high incidence that seriously threatens patients’ lives and health. However, with the rise and application of new treatments, such as immu…
View article: An integrated physiological indicator and transcriptomic analysis reveals the response of soybean buds to high-temperature stress
An integrated physiological indicator and transcriptomic analysis reveals the response of soybean buds to high-temperature stress Open
In summary, soybean cells are protected from oxidative damage by an increase in antioxidant enzyme activities and accumulation of hormone content under HT stress. Concomitantly, changes in the expression of crucial genes and signal transmi…
View article: Correction: FTY720 Inhibits MPP+-Induced Microglial Activation by Affecting NLRP3 Inflammasome Activation
Correction: FTY720 Inhibits MPP+-Induced Microglial Activation by Affecting NLRP3 Inflammasome Activation Open
View article: Unveiling the oncogenic role of <scp>LZTS1</scp> in colorectal cancer
Unveiling the oncogenic role of <span>LZTS1</span> in colorectal cancer Open
Although leucine zipper tumour suppressor 1 (LZTS1) has been considered a potential tumour suppressor, accumulating evidence suggests that LZTS1 is highly expressed in many cancer types. To unravel the exact role of LZTS1 in colorectal car…
View article: Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Open
Large language models (LLMs) have shown impressive capabilities in real-world applications. The capability of in-context learning (ICL) allows us to adapt an LLM to downstream tasks by including input-label exemplars in the prompt without …
View article: Robustifying and Boosting Training-Free Neural Architecture Search
Robustifying and Boosting Training-Free Neural Architecture Search Open
Neural architecture search (NAS) has become a key component of AutoML and a standard tool to automate the design of deep neural networks. Recently, training-free NAS as an emerging paradigm has successfully reduced the search costs of stan…
View article: Localized Zeroth-Order Prompt Optimization
Localized Zeroth-Order Prompt Optimization Open
The efficacy of large language models (LLMs) in understanding and generating natural language has aroused a wide interest in developing prompt-based methods to harness the power of black-box LLMs. Existing methodologies usually prioritize …
View article: Effect of Ammonium Perchlorate Content on the Combustion and Injection Performance of Al-H2o Gelled Propellant
Effect of Ammonium Perchlorate Content on the Combustion and Injection Performance of Al-H2o Gelled Propellant Open
View article: Quantum Bayesian Optimization
Quantum Bayesian Optimization Open
Kernelized bandits, also known as Bayesian optimization (BO), has been a prevalent method for optimizing complicated black-box reward functions. Various BO algorithms have been theoretically shown to enjoy upper bounds on their cumulative …
View article: Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers Open
Large language models (LLMs) have shown remarkable instruction-following capabilities and achieved impressive performances in various applications. However, the performances of LLMs depend heavily on the instructions given to them, which a…
View article: Effect of the Al2O3 content on the microstructure evolution of flash-sintered Al2O3–8YSZ ceramics
Effect of the Al2O3 content on the microstructure evolution of flash-sintered Al2O3–8YSZ ceramics Open
Systematic explorations of complex insulator–conductor composites may help in better comprehending the nature of flash sintering. In this study, flash sintering of alumina–8 mol% yttria stabilized zirconia (Al2O3–8YSZ) binary system with d…
View article: Elaborative collection of condensed combustion products of solid propellants: Towards a real Solid Rocket Motor (SRM) operational environment
Elaborative collection of condensed combustion products of solid propellants: Towards a real Solid Rocket Motor (SRM) operational environment Open
A novel constant-pressure and constant-quenching distance Condensed Combustion Products (CCPs) collection system was developed, coupled with a timing control system, to collect the CCPs formed in the course of burning of aluminum-based com…
View article: RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model
RUL prediction of lithium ion battery based on CEEMDAN-CNN BiLSTM model Open
With the wide application of lithium ion batteries, the importance of life prediction is also highlighted. The prediction of the remaining life of lithium ion battery is an important part of its health management, and accurate prediction c…
View article: Large language models completely understand molecular characteristics of squamous cervical cancer
Large language models completely understand molecular characteristics of squamous cervical cancer Open
Squamous cervical cancer (SCC) is a major cause of death in women, yet its molecular characteristics are poorly understood. Here, we profiled histopathological and molecular alterations in SCC, and used large language models (LLMs) for int…
View article: Advances in the Histone Acetylation Modification in the Oral Squamous Cell Carcinoma
Advances in the Histone Acetylation Modification in the Oral Squamous Cell Carcinoma Open
Oral squamous cell carcinoma (OSCC) is one of the common malignant tumors in the head and neck, characterized by high malignancy, rapid growth and metastasis, high invasive ability, and high mortality. In recent years, surgery combined wit…
View article: Multi-omics characterization of silent and productive HPV integration in cervical cancer
Multi-omics characterization of silent and productive HPV integration in cervical cancer Open
View article: The PPR-Domain Protein SOAR1 Regulates Salt Tolerance in Rice
The PPR-Domain Protein SOAR1 Regulates Salt Tolerance in Rice Open
View article: Sample-Then-Optimize Batch Neural Thompson Sampling
Sample-Then-Optimize Batch Neural Thompson Sampling Open
Bayesian optimization (BO), which uses a Gaussian process (GP) as a surrogate to model its objective function, is popular for black-box optimization. However, due to the limitations of GPs, BO underperforms in some problems such as those w…
View article: Federated Neural Bandits
Federated Neural Bandits Open
Recent works on neural contextual bandits have achieved compelling performances due to their ability to leverage the strong representation power of neural networks (NNs) for reward prediction. Many applications of contextual bandits involv…
View article: Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search Open
Neural architecture search (NAS) has gained immense popularity owing to its ability to automate neural architecture design. A number of training-free metrics are recently proposed to realize NAS without training, hence making NAS more scal…
View article: Strategies for the application of metal–organic frameworks in catalytic reactions
Strategies for the application of metal–organic frameworks in catalytic reactions Open
Metal–organic frameworks (MOFs) are promising candidates for catalyzation. This review primarily summarized the recent research progress in diverse strategies for tailoring MOFs which are endowed with more excellent catalytic behavior.