Publications (6)
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors
Linlin Chao, Jianshan He, Taifeng Wang +1
Distance based knowledge graph embedding methods show promising results on link prediction task, on which two topics have been widely studied: one is the ability to handle complex…
PFMBench: Protein Foundation Model Benchmark
Zhangyang Gao, Hao Wang, Cheng Tan +6
This study investigates the current landscape and future directions of protein foundation model research. While recent advancements have transformed protein science and engineering…
PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning
Linlin Chao, Xiexiong Lin, Taifeng Wang +1
Knowledge graph (KG) embedding methods which map entities and relations to unique embeddings in the KG have shown promising results on many reasoning tasks. However, the same embed…
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition
Xuzheng Yu, Chen Jiang, Wei Zhang +6
With the explosive growth of video data in real-world applications, a comprehensive representation of videos becomes increasingly important. In this paper, we address the problem o…
Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
Linlin Chao, Jianhua Tao, Minghao Yang +2
This paper focuses on two key problems for audio-visual emotion recognition in the video. One is the audio and visual streams temporal alignment for feature level fusion. The other…
TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
Qirong Yang, Yucheng Guo, Zicheng Liu +7
The modeling of genomic sequences presents unique challenges due to their length and structural complexity. Traditional sequence models struggle to capture long-range dependencies…