Li Jun
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View article: Accelerated Discovery of Crystalline Materials with Record Ultralow Lattice Thermal Conductivity via a Universal Descriptor
Accelerated Discovery of Crystalline Materials with Record Ultralow Lattice Thermal Conductivity via a Universal Descriptor Open
Ultralow glass-like lattice thermal conductivity in crystalline materials is crucial for enhancing energy conversion efficiency in thermoelectrics and thermal insulators. We introduce a universal descriptor for thermal conductivity that re…
View article: Accelerated Discovery of Crystalline Materials with Record Ultralow Lattice Thermal Conductivity via a Universal Descriptor
Accelerated Discovery of Crystalline Materials with Record Ultralow Lattice Thermal Conductivity via a Universal Descriptor Open
Ultralow glass-like lattice thermal conductivity in crystalline materials is crucial for enhancing energy conversion efficiency in thermoelectrics and thermal insulators. We introduce a universal descriptor for thermal conductivity that re…
View article: High-pressure melting and elastic behavior of vanadium and niobium based on ab initio and machine learning molecular dynamics
High-pressure melting and elastic behavior of vanadium and niobium based on ab initio and machine learning molecular dynamics Open
Under high pressure, the group-VB transition metals vanadium (V) and niobium (Nb) exhibit simple crystal structures but complex physical behaviors, such as anomalous compression-induced softening and heating-induced hardening (CISHIH). Mea…
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: Blocking nuclear receptor Nr4a3 unlocks the senescence barrier to promote direct cardiac reprogramming
Blocking nuclear receptor Nr4a3 unlocks the senescence barrier to promote direct cardiac reprogramming Open
Direct reprogramming of fibroblasts into induced cardiomyocytes (iCMs) offers a regenerative strategy for heart repair, but efficiency declines in adult and aged cells. Transcriptomic and epigenetic profiling identified cellular senescence…
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: Constraints on the canonical single-field slow-roll inflation model from observations
Constraints on the canonical single-field slow-roll inflation model from observations Open
In this paper we use two methods to constrain the the canonical single-field slow-roll inflation model. The first method exploits the analytic slow-roll-parameter dependence of primordial perturbations, and the second consists of a phenome…
View article: Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes
Memory-Assisted Nonlocal Interferometer Towards Long-Baseline Telescopes Open
Quantum networks and remote quantum entanglement serve as vital future quantum communication resources with broad applicability. A key direction lies in extending the baseline of optical interferometers to enhance angular resolution in int…
View article: Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics
Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics Open
Time-efficient estimation of muscle activations and forces across multi-joint systems is critical for clinical assessment and assistive device control. However, conventional approaches are computationally expensive and lack a high-quality …
View article: Ripple-assisted adsorption of noble gases on graphene at room temperature
Ripple-assisted adsorption of noble gases on graphene at room temperature Open
Controllable gas adsorption is critical for both scientific and industrial fields, and high-capacity adsorption of gases on solid surfaces provides a significant promise due to its high-safety and low-energy consumption. However, the adsor…
View article: Ripple-assisted adsorption of noble gases on graphene at room temperature
Ripple-assisted adsorption of noble gases on graphene at room temperature Open
Controllable gas adsorption is critical for both scientific and industrial fields, and high-capacity adsorption of gases on solid surfaces provides a significant promise due to its high-safety and low-energy consumption. However, the adsor…
View article: Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics
Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics Open
Time-efficient estimation of muscle activations and forces across multi-joint systems is critical for clinical assessment and assistive device control. However, conventional approaches are computationally expensive and lack a high-quality …
View article: Ripple-assisted adsorption of noble gases on graphene at room temperature
Ripple-assisted adsorption of noble gases on graphene at room temperature Open
Controllable gas adsorption is critical for both scientific and industrial fields, and high-capacity adsorption of gases on solid surfaces provides a significant promise due to its high-safety and low-energy consumption. However, the adsor…
View article: Constraints on the canonical single-field slow-roll inflation model from observations
Constraints on the canonical single-field slow-roll inflation model from observations Open
In this paper we use two methods to constrain the the canonical single-field slow-roll inflation model. The first method exploits the analytic slow-roll-parameter dependence of primordial perturbations, and the second consists of a phenome…
View article: Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics
Multi-Joint Physics-Informed Deep Learning Framework for Time-Efficient Inverse Dynamics Open
Time-efficient estimation of muscle activations and forces across multi-joint systems is critical for clinical assessment and assistive device control. However, conventional approaches are computationally expensive and lack a high-quality …
View article: Constraints on the canonical single-field slow-roll inflation model from observations
Constraints on the canonical single-field slow-roll inflation model from observations Open
In this paper we use two methods to constrain the the canonical single-field slow-roll inflation model. The first method exploits the analytic slow-roll-parameter dependence of primordial perturbations, and the second consists of a phenome…
View article: Data underlying the publication: Advancements in Peritoneal Dialysis Catheterization: Introducing a Modified Single-Port Laparoscopic Technique
Data underlying the publication: Advancements in Peritoneal Dialysis Catheterization: Introducing a Modified Single-Port Laparoscopic Technique Open
This dataset contains the complete anonymised clinical and operative records of a single-centre, retrospective, two-arm cohort study conducted at the Department of Nephrology, First Affiliated Hospital of Harbin Medical University, People’…
View article: Data underlying the publication: Advancements in Peritoneal Dialysis Catheterization: Introducing a Modified Single-Port Laparoscopic Technique
Data underlying the publication: Advancements in Peritoneal Dialysis Catheterization: Introducing a Modified Single-Port Laparoscopic Technique Open
This dataset contains the complete anonymised clinical and operative records of a single-centre, retrospective, two-arm cohort study conducted at the Department of Nephrology, First Affiliated Hospital of Harbin Medical University, People’…
View article: Placental Vascular Resistance and Offspring Growth From Birth to Age 2 Years
Placental Vascular Resistance and Offspring Growth From Birth to Age 2 Years Open
Importance Umbilical artery Doppler indices provide indirect measures of placental function, with elevated vascular resistance associated with adverse perinatal outcomes, but their association with postnatal growth remains understudied. Ob…
View article: LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model Open
Long context inference scenarios have become increasingly important for large language models, yet they introduce significant computational latency. While prior research has optimized long-sequence inference through operators, model archit…
View article: Deep learning models are vulnerable, but adversarial examples are even more vulnerable
Deep learning models are vulnerable, but adversarial examples are even more vulnerable Open
Understanding intrinsic differences between adversarial examples and clean samples is key to enhancing DNN robustness and detection against adversarial attacks. This study first empirically finds that image-based adversarial examples are n…
View article: LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model
LoPT: Lossless Parallel Tokenization Acceleration for Long Context Inference of Large Language Model Open
Long context inference scenarios have become increasingly important for large language models, yet they introduce significant computational latency. While prior research has optimized long-sequence inference through operators, model archit…
View article: Deep learning models are vulnerable, but adversarial examples are even more vulnerable
Deep learning models are vulnerable, but adversarial examples are even more vulnerable Open
Understanding intrinsic differences between adversarial examples and clean samples is key to enhancing DNN robustness and detection against adversarial attacks. This study first empirically finds that image-based adversarial examples are n…
View article: Learning to reason about rare diseases through retrieval-augmented agents
Learning to reason about rare diseases through retrieval-augmented agents Open
Rare diseases represent the long tail of medical imaging, where AI models often fail due to the scarcity of representative training data. In clinical workflows, radiologists frequently consult case reports and literature when confronted wi…
View article: Learning to reason about rare diseases through retrieval-augmented agents
Learning to reason about rare diseases through retrieval-augmented agents Open
Rare diseases represent the long tail of medical imaging, where AI models often fail due to the scarcity of representative training data. In clinical workflows, radiologists frequently consult case reports and literature when confronted wi…
View article: AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling
AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling Open
Background: Photoplethysmography (PPG) offers a noninvasive and accessible modality for health monitoring beyond clinical settings. However, existing studies are limited by the scale and diversity of labeled data, constraining model accura…
View article: AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling
AnyPPG: An ECG-Guided PPG Foundation Model Trained on Over 100,000 Hours of Recordings for Holistic Health Profiling Open
Background: Photoplethysmography (PPG) offers a noninvasive and accessible modality for health monitoring beyond clinical settings. However, existing studies are limited by the scale and diversity of labeled data, constraining model accura…
View article: Field-Tunable Anisotropic Fulde-Ferrell Phase in NbSe$_2$/CrSiTe$_3$ Heterostructures
Field-Tunable Anisotropic Fulde-Ferrell Phase in NbSe$_2$/CrSiTe$_3$ Heterostructures Open
The emergence of superconductivity in two-dimensional transition metal dichalcogenides with strong spin orbit coupling (SOC) has opened new avenues for exploring exotic superconducting states. Here, we report experimental observation of an…
View article: Field-Tunable Anisotropic Fulde-Ferrell Phase in NbSe$_2$/CrSiTe$_3$ Heterostructures
Field-Tunable Anisotropic Fulde-Ferrell Phase in NbSe$_2$/CrSiTe$_3$ Heterostructures Open
The emergence of superconductivity in two-dimensional transition metal dichalcogenides with strong spin orbit coupling (SOC) has opened new avenues for exploring exotic superconducting states. Here, we report experimental observation of an…
View article: Suicidal Comment Tree Dataset: Enhancing Risk Assessment and Prediction Through Contextual Analysis
Suicidal Comment Tree Dataset: Enhancing Risk Assessment and Prediction Through Contextual Analysis Open
Suicide remains a critical global public health issue. While previous studies have provided valuable insights into detecting suicidal expressions in individual social media posts, limited attention has been paid to the analysis of longitud…