activity
20202026
most citedHybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

8 citations · 15 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2026

HeadRank: Decoding-Free Passage Reranking via Preference-Aligned Attention Heads

Juyuan Wang, Chenxing Wang, Yuchen Fang +8

Decoding-free reranking methods that read relevance signals directly from LLM attention weights offer significant latency advantages over autoregressive approaches, yet suffer from…

cs.CV2026

Streamlined Open-Vocabulary Human-Object Interaction Detection

Chang Sun, Dongliang Liao, Changxing Ding

Open-vocabulary human-object interaction (HOI) detection aims to localize and recognize all human-object interactions in an image, including those unseen during training. Existing…

cs.IR2026

When & How to Write for Personalized Demand-aware Query Rewriting in Video Search

Cheng cheng, Chenxing Wang, Aolin Li +3

In video search systems, user historical behaviors provide rich context for identifying search intent and resolving ambiguity. However, traditional methods utilizing implicit histo…

cs.CV2024

Multi-Scale Temporal Difference Transformer for Video-Text Retrieval

Ni Wang, Dongliang Liao, Xing Xu

Currently, in the field of video-text retrieval, there are many transformer-based methods. Most of them usually stack frame features and regrade frames as tokens, then use transfor…

cs.IR20228 cited

Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

Jinpeng Wang, Bin Chen, Dongliang Liao +4

With the recent boom of video-based social platforms (e.g., YouTube and TikTok), video retrieval using sentence queries has become an important demand and attracts increasing resea…

cs.CL20207 cited

Cognitive Representation Learning of Self-Media Online Article Quality

Yiru Wang, Shen Huang, Gongfu Li +5

The automatic quality assessment of self-media online articles is an urgent and new issue, which is of great value to the online recommendation and search. Different from tradition…