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Works27 from public data
- 162
- Proteomic and genetic analyses of influenza A viruses identify pan-viral host targets65
A comprehensive network model of IAV infection in human cells, identifying functional host targets for pan-viral HDT and suppressing IAV replication across influenza and coronavirus families is provided.
- A functional map of HIV-host interactions in primary human T cells51
The knock-out of over 400 genes in primary CD4+ T cells to assess their functional role in HIV replication is reported, finding 86 initial candidates of which 47 are validated as HIV host factors, including 23 with restrictive activity.
- Improving Neural Cross-Lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation49
This work proposes a novel Knowledge-Distillation-based framework for Cross-Lingual Summarization, seeking to explicitly construct cross-lingual correlation by distilling the knowledge of the monolingual summarization teacher into the cross-centre summarization student.
- Topic Modeling as Multi-Objective Contrastive Optimization16
A novel contrastive learning method oriented towards sets of topic vectors to capture useful semantics that are shared among a set of input documents is introduced, with the goal of achieving a Pareto stationary solution that balances the trade-off between the ELBO and the contrastive objective.
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- Differentially Private Regression for Discrete-Time Survival Analysis14
This work aims to propose solutions for the regression problem in survival analysis with the protection of differential privacy, and proposes a novel sampling approach based on the Markov Chain Monte Carlo (MCMC) method to practically guarantee differential privacy with better accuracy.
- DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding12
An energy-based model framework to explicitly learn moment- query distributions is proposed and DemaFormer, a novel Transformer-based architecture that utilizes exponential moving average with a learnable damping factor to effectively encode moment-query inputs is proposed.
- Hepatitis C virus infects and perturbs liver stem cells11
This work identifies bipotent liver stem cells as novel targets for HCV infection, and their erroneous differentiation as the potential cause of impaired liver regeneration and cancer development and shows that HCV maintains low-grade infections in liver organoids for the first time.
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- Curriculum Demonstration Selection for In-Context Learning7
Curriculum Demonstration Selection (CDS), a novel demonstration selection method for ICL, instead of merely using similarity, additionally partitions samples by their complexity measurements, enabling LLMs to learn from varied complexities within the training set.
- Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment7
The proposed GroundedBERT is a grounded language learning method that enhances the BERT representation with visually grounded information and significantly outperforms the baseline language models on various language tasks of the GLUE and SQuAD datasets.
- Nuclear accumulation of host transcripts during Zika Virus Infection6
It is shown that ZikV infection disrupts subcellular partitioning of host transcripts critical for neurodevelopment in NPCs and functionally link this process to the up-frameshift protein 1 (UPF1), an RNA-binding protein known to regulate decay of cellular and viral RNAs and is less expressed in ZIKV-infected cells.
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- Integrative multi-omics analysis in vivo identifies influenza virus host factors3
This work infects mice with two IAV strains, H1N1 and H5N1, and analyzes lung tissue with multi-omics to identify twenty-four distinct host modules altered by infection, encompassing 2920 genes/proteins.
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- Privacy-Preserving Mechanisms for Parametric Survival Analysis with Weibull Distribution2
It is proved that the proposed mechanisms for parametric survival analysis with Weibull distribution achieve differential privacy, a robust and rigorous definition of privacy-preservation.
- Video Understanding: Through A Temporal Lens1
Five contributions demonstrate that explicit temporal modeling significantly enhances a model's ability to represent and reason about the fluid nature of video content.
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- Privacy Protection for Flexible Parametric Survival Models–
Two solutions to the privacy-preserving problem of regression models on medical data are proposed, focusing on flexible parametric models which are powerful alternatives to the well-known Cox regression model.
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 2026-10-12. 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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