activity
20222024
most citedNegative Label Guided OOD Detection with Pretrained Vision-Language Models

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

collaborators

5 papers

cs.CV20244 cited

Negative Label Guided OOD Detection with Pretrained Vision-Language Models

Xue Jiang, Feng Liu, Zhen Fang +4

Out-of-distribution (OOD) detection aims at identifying samples from unknown classes, playing a crucial role in trustworthy models against errors on unexpected inputs. Extensive re…

cs.IR2023

Towards Better Query Classification with Multi-Expert Knowledge Condensation in JD Ads Search

Kun-Peng Ning, Ming Pang, Zheng Fang +6

Search query classification, as an effective way to understand user intents, is of great importance in real-world online ads systems. To ensure a lower latency, a shallow model (e.…

stat.ML2023

On the Stability and Generalization of Triplet Learning

Jun Chen, Hong Chen, Xue Jiang +4

Triplet learning, i.e. learning from triplet data, has attracted much attention in computer vision tasks with an extremely large number of categories, e.g., face recognition and pe…

cs.SD2022

Cross-Scale Vector Quantization for Scalable Neural Speech Coding

Xue Jiang, Xiulian Peng, Huaying Xue +2

Bitrate scalability is a desirable feature for audio coding in real-time communications. Existing neural audio codecs usually enforce a specific bitrate during training, so differe…

cs.SD2022

Towards Error-Resilient Neural Speech Coding

Huaying Xue, Xiulian Peng, Xue Jiang +1

Neural audio coding has shown very promising results recently in the literature to largely outperform traditional codecs but limited attention has been paid on its error resilience…