activity
20232026
most citedAn Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

PHA-Net: Prototype-based Hierarchical Alignment Network for Text-Video Retrieval

Xiaolun Jing, Kezhao Yin, Xinxing Yang +2

With the emergence of large-scale image-text pre-training models, e.g., CLIP, text-video retrieval has experienced substantial advances in recent years. Existing best-performing me…

cs.IR2025

TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval

Xiaolun Jing, Genke Yang, Jian Chu

Motivated by the success of coarse-grained or fine-grained contrast in text-video retrieval, there emerge multi-grained contrastive learning methods which focus on the integration…

eess.SY2025

ALADIN-: A Distributed Optimization Algorithm for Solving MPCC Problems

Yifei Wang, Shuting Wu, Genke Yang +3

Mathematical Programs with Complementarity Constraints (MPCC) are critical in various real-world applications but notoriously challenging due to non-smoothness and degeneracy from…

cs.IR2024★ 4 cited

An Empirical Study of Excitation and Aggregation Design Adaptions in CLIP4Clip for Video-Text Retrieval

Xiaolun Jing, Genke Yang, Jian Chu

CLIP4Clip model transferred from the CLIP has been the de-factor standard to solve the video clip retrieval task from frame-level input, triggering the surge of CLIP4Clip-based mod…

q-bio.QM2023

ALNSynergy: a graph convolutional network with multi-representation alignment for drug synergy prediction

Xinxing Yang, Jiachen Li, Xiao Kang +4

Drug combination refers to the use of two or more drugs to treat a specific disease at the same time. It is currently the mainstream way to treat complex diseases. Compared with si…