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- Liqiang NieSuggested from co-authorship
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Works18 from public data
- Neural Compatibility Modeling with Attentive Knowledge Distillation169
This work sheds light on the complementary clothing matching by integrating the advanced deep neural networks and the rich fashion domain knowledge by presenting a neural compatibility modeling scheme with attentive knowledge distillation based on the teacher-student network scheme.
- GP-BPR91
This work presents a personalized compatibility modeling scheme GP-BPR, comprising of two essential components: general compatibility modeling and personal preference modeling, which characterize the item-item and user-item interactions, respectively.
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- Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching48
This work proposes a prototype-guided attribute-wise interpretable compatibility modeling (PAICM) scheme, which seamlessly integrates the latent compatible/incompatible prototype learning and compatibility modeling with the Bayesian personalized ranking (BPR) framework.
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- Generative Attribute Manipulation Scheme for Flexible Fashion Search32
This work proposes an end-to-end generative attribute manipulation scheme, which consists of a generator and a discriminator that aims to jointly fulfill the semantic learning towards correct attribute manipulation and adversarial metric learning for fashion search.
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- EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens18
This work bridges the efficiency-effectiveness gap in LLMRec, offering practical deployment advantages for industrial scenarios and proposes EARN, an efficient inference framework that leverages the early layers to compress information into register tokens placed at the input sequence boundaries.
- Hierarchical Deep Residual Reasoning for Temporal Moment Localization10
A Hierarchical Deep Residual Reasoning (HDRR) model is proposed, which decomposes the video and sentence into multi-level representations with different semantics to achieve a finer-grained localization in temporal Moment Localization in untrimmed videos.
- PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search6
The PetalView extractors give semantically meaningful features that are equivalent across two drastically different views, and the multi-scale search strategy efficiently inspects the satellite image from coarse to fine granularity to provide sub-meter and sub-degree precision extraction.
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- A Survey on Text-Based Person Search–
This work provides a systematic review of TBPS by formalizing the problem setting and presenting a structured taxonomy of representative methods along four key technical dimensions: external knowledge-based approaches that leverage semantic priors to alleviate the inherent modality gap between visual and textual data.
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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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