123 citations · 285 across the 15 of their papers we have counts for
15 papers
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis
Yakun Yu, Mingjun Zhao, Shi-ang Qi +6
Multimodal Sentiment Analysis leverages multimodal signals to detect the sentiment of a speaker. Previous approaches concentrate on performing multimodal fusion and representation…
TCR: Short Video Title Generation and Cover Selection with Attention Refinement
Yakun Yu, Jiuding Yang, Weidong Guo +3
With the widespread popularity of user-generated short videos, it becomes increasingly challenging for content creators to promote their content to potential viewers. Automatically…
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering
Mingjun Zhao, Mengzhen Wang, Yinglong Ma +2
Text clustering, as one of the most fundamental challenges in unsupervised learning, aims at grouping semantically similar text segments without relying on human annotations. With…
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
Mingjun Zhao, Yakun Yu, Xiaoli Wang +2
Despite the success of deep learning in video understanding tasks, processing every frame in a video is computationally expensive and often unnecessary in real-time applications. F…
LA3: Efficient Label-Aware AutoAugment
Mingjun Zhao, Shan Lu, Zixuan Wang +2
Automated augmentation is an emerging and effective technique to search for data augmentation policies to improve generalizability of deep neural network training. Most existing wo…
GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation
Jian Ma, Mingjun Zhao, Chen Chen +4
Recent breakthroughs in the field of language-guided image generation have yielded impressive achievements, enabling the creation of high-quality and diverse images based on user i…
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Chenglin Li, Yuanzhen Xie, Chenyun Yu +5
Cross-domain recommendation is an important method to improve recommender system performance, especially when observations in target domains are sparse. However, most existing tech…
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes
Jiuding Yang, Jinwen Luo, Weidong Guo +3
Nested Named Entity Recognition (NNER) has been a long-term challenge to researchers as an important sub-area of Named Entity Recognition. NNER is where one entity may be part of a…
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning
Shengyao Lu, Bang Liu, Keith G. Mills +2
Systematicity, i.e., the ability to recombine known parts and rules to form new sequences while reasoning over relational data, is critical to machine intelligence. A model with st…
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation
Chenglin Li, Mingjun Zhao, Huanming Zhang +5
Cross-domain recommendation can help alleviate the data sparsity issue in traditional sequential recommender systems. In this paper, we propose the RecGURU algorithm framework to g…
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph
Jiuding Yang, Weidong Guo, Bang Liu +6
Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the…
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization
Weidong Guo, Mingjun Zhao, Lusheng Zhang +5
Language model pre-training based on large corpora has achieved tremendous success in terms of constructing enriched contextual representations and has led to significant performan…
Similarity Embedding Networks for Robust Human Activity Recognition
Chenglin Li, Carrie Lu Tong, Di Niu +5
Deep learning models for human activity recognition (HAR) based on sensor data have been heavily studied recently. However, the generalization ability of deep models on complex rea…
Meta-HAR: Federated Representation Learning for Human Activity Recognition
Chenglin Li, Di Niu, Bei Jiang +2
Human activity recognition (HAR) based on mobile sensors plays an important role in ubiquitous computing. However, the rise of data regulatory constraints precludes collecting priv…
Verdi: Quality Estimation and Error Detection for Bilingual Corpora
Mingjun Zhao, Haijiang Wu, Di Niu +2
Translation Quality Estimation is critical to reducing post-editing efforts in machine translation and to cross-lingual corpus cleaning. As a research problem, quality estimation (…