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- Q-Diffusion: Quantizing Diffusion Models361
This work proposes a novel PTQ method specifically tailored towards the unique multi-timestep pipeline and model architecture of the diffusion models, which compresses the noise estimation network to accelerate the generation process.
- NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers91
NoisyQuant, a quantizer-agnostic enhancement for the post-training activation quantization performance of vision transformers, makes a surprising theoretical discovery that for a given quantizer, adding a fixed Uniform noisy bias to the values being quantized can significantly reduce the quantization error under provable conditions.
- Cloud-Device Collaborative Learning for Multimodal Large Language Models32
A Cloud-Device Collaborative Contin-ual Adaptation framework, designed to enhance the performance of compressed, device-deployed MLLMs by lever-aging the robust capabilities of cloud-based, larger-scale MLLMs, and validate the feasibility of the approach to real-world experiments.
- Eriodictyol from Scutellariae Barbata alleviates inflammation and necrosis via ZBP1-dependent signaling in acute pancreatitis16
Eriodictyol may enhance pancreatic conditions and reduce ZBP1-dependent protein expression, with minimal impact on mtDNA levels, as well as broadened the traditional use of S. Barbata in combating pancreatic necrosis and reveal the underlying mechanisms involved.
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- Application of Wearable Devices in Diabetes Management6
Diverse glucose monitoring approaches, including continuous glucose monitors (CGMs) and smartwatches, are explored, highlighting their contributions to tracking physical activity, food intake, medication adherence, and direct glucose measurements.
- Utilizing allelopathy from the invasive plant Solidago canadensis to control Microcystis aeruginosa blooms: An integrated metabolomic and bioassay approach5
The allelopathic potential of the invasive plant Solidago canadensis is investigated for cyanobacterial inhibition through metabolite-mediated interactions, highlighting S. canadensis as a sustainable resource for algal bloom mitigation, offering novel metabolite candidates for ecological management.
- CPT1A mediated preservation of mitochondrial inhibits pyroptosis in pancreatic acinar cells4
Findings reveal a novel protective mechanism of CPT1A in SAP that preserves mitochondrial functions and suppresses NLRP3/GSDMD-mediated pancreatic acinar cell pyroptosis, highlighting CPT1A as a potential therapeutic target.
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- Dual-scavenging Mn3O4-PEI nanoparticles targeting ROS and cfDNA for acute pancreatitis therapy3
A nanoparticle with a dual function to clear ROS and cfDNA was developed for the treatment of acute pancreatitis and showed significant inhibition of ROS and cfDNA-induced inflammation and demonstrated therapeutic effects in a model of acute pancreatitis induced by sodium taurocholate (STC).
- Downregulation of chemokine (C‑C motif) ligand 5 induced by a novel 8‑hydroxyquinoline derivative (91b1) suppresses tumor invasiveness in esophageal carcinoma3
It is suggested that 91b1 effectively inhibited ESCC cell proliferation and tumor invasion by downregulating CCL5 expression by downregulating CCL5 expression, highlighting its potential as a therapeutic agent for ESCC treatment.
- LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection2
LiftQuant is a novel framework that enables continuous bit-width control for true Pareto-optimal deployment of Large Language Models and generates a structured yet non-uniform codebook, capturing the expressive power of Vector Quantization (VQ).
- Cardiorenal protective effects of Tanhuo decoction in acute myocardial infarction via regulating multi-target inflammation and metabolic signaling pathways1
Traditional Chinese medicine's Tanhuo Decoction enhances the anti-inflammatory and metabolic benefits of standard AMI therapy through multi-target pathway regulation, and its integration into modern cardiovascular care, particularly for patients with high inflammatory and metabolic risk.
- Identification and Validation of a Prognostic Model Based on Tumour Necrosis Factor‐Related mRNAs for Kidney Renal Clear Cell Carcinoma1
The TRmRNA‐based prognostic model holds significant promise for predicting patient outcomes and guiding personalised treatment strategies in KIRC, and yielded robust prognostic accuracy.
- Prognostic value and immune landscapes of disulfidptosis‑related lncRNAs in bladder cancer1
The prognostic risk signature, which includes the eight identified DRlncRNAs, demonstrates promise for predicting prognosis of patients with BLCA and guiding the selection of suitable immunotherapy and chemotherapy strategies.
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- FeatureMSEA: Metabolic Feature-based Metabolite Set Enrichment Analysis–
Presenting FeatureMSEA, a feature rank-based framework for metabolite set enrichment directly from metabolic features with ambiguous annotations, which provides a general framework for extracting metabolite set-level biological insights from LC-MS untargeted metabolomics in which confident metabolite identification remains incomplete.
- MAPA: A Semantic Network Framework for Functional Module Discovery and Interpretation in Multi‐Omics Data–
MAPA provides a generalizable framework for organizing fragmented and heterogeneous molecular features into functional modules and comprehensive interpretations and achieves superior module reconstruction and expert‐aligned functional interpretation against existing approaches.
- Research Progress on Bilirubin Metabolism based on FXR Agonist Regulation and the Treatment of Jaundice in Traditional Chinese Medicine–
It is necessary to deeply explore the structure-activity relationship and synergistic mechanism between traditional Chinese medicine ingredients and FXR, verify the efficacy through multi-centre trials, promote the development of new drugs and the advancement of precision diagnosis and treatment of integrated traditional Chinese and Western medicine, and provide a scientific basis for the treatment of jaundice.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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