activity
20232026
most citedENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Can Prosodic Style Be Inferred from Text Alone? Evidence from Unsupervised Acoustic Clusters

Abdul Rehman, Jian-Jun Zhang, Xiaosong Yang

Much of expressive text-to-speech research rests on an untested assumption that written text carries enough information to select an appropriate prosodic style for its delivery. Te…

cs.CL2025

CUPE: Contextless Universal Phoneme Encoder for Language-Agnostic Speech Processing

Abdul Rehman, Jian-Jun Zhang, Xiaosong Yang

Universal phoneme recognition typically requires analyzing long speech segments and language-specific patterns. Many speech processing tasks require pure phoneme representations fr…

cs.IR2025★ 2 cited

ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling

Wenji Zhou, Yuhang Zheng, Yinfu Feng +5

Long-term user behavior sequences are a goldmine for businesses to explore users' interests to improve Click-Through Rate. However, it is very challenging to accurately capture use…

cs.CL2024

Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognition

Abdul Rehman, Jian Jun Zhang, Xiaosong Yang

Named Entity Recognition (NER) encounters the challenge of unbalanced labels, where certain entity types are overrepresented while others are underrepresented in real-world dataset…

eess.IV2024

MaSkel: A Model for Human Whole-body X-rays Generation from Human Masking Images

Yingjie Xi, Boyuan Cheng, Jingyao Cai +2

The human whole-body X-rays could offer a valuable reference for various applications, including medical diagnostics, digital animation modeling, and ergonomic design. The traditio…

cs.SD2023

CLARA: Multilingual Contrastive Learning for Audio Representation Acquisition

Kari A Noriy, Xiaosong Yang, Marcin Budka +1

Multilingual speech processing requires understanding emotions, a task made difficult by limited labelled data. CLARA, minimizes reliance on labelled data, enhancing generalization…