425 citations · 454 across the 6 of their papers we have counts for
7 papers
Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English
Xiaoming Ren, Chao Li, Shenjian Wang +1
Considering the bimodal nature of human speech perception, lips, and teeth movement has a pivotal role in automatic speech recognition. Benefiting from the correlated and noise-inv…
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model
Qiwei Chen, Changhua Pei, Shanshan Lv +3
Click-Through Rate (CTR) prediction is one of the core tasks in recommender systems (RS). It predicts a personalized click probability for each user-item pair. Recently, researcher…
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings
Lena Shakurova, Beata Nyari, Chao Li +1
Cross-lingual embeddings aim to represent words in multiple languages in a shared vector space by capturing semantic similarities across languages. They are a crucial component for…
Predicting Research Trends From Arxiv
Steffen Eger, Chao Li, Florian Netzer +1
We perform trend detection on two datasets of Arxiv papers, derived from its machine learning (cs.LG) and natural language processing (cs.CL) categories. Our approach is bottom-up:…
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong, Chao Li, Yingying Zhang +3
Deep region-based object detector consists of a region proposal step and a deep object recognition step. In this paper, we make significant improvements on both of the two steps. F…
AutoEncoder Inspired Unsupervised Feature Selection
Kai Han, Yunhe Wang, Chao Zhang +2
High-dimensional data in many areas such as computer vision and machine learning tasks brings in computational and analytical difficulty. Feature selection which selects a subset f…
Deep Speaker: an End-to-End Neural Speaker Embedding System
Chao Li, Xiaokong Ma, Bing Jiang +6
We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity. The embeddings generated…