3 citations · 10 across the 15 of their papers we have counts for
15 papers
Effective Context Modeling Framework for Emotion Recognition in Conversations
Cuong Tran Van, Thanh V. T. Tran, Van Nguyen +1
Emotion Recognition in Conversations (ERC) facilitates a deeper understanding of the emotions conveyed by speakers in each utterance within a conversation. Recently, Graph Neural N…
GROOT: Effective Design of Biological Sequences with Limited Experimental Data
Thanh V. T. Tran, Nhat Khang Ngo, Viet Anh Nguyen +1
Latent space optimization (LSO) is a powerful method for designing discrete, high-dimensional biological sequences that maximize expensive black-box functions, such as wet lab expe…
SAMSA: Efficient Transformer for Many Data Modalities
Minh Lenhat, Viet Anh Nguyen, Khoa Nguyen +3
The versatility of self-attention mechanism earned transformers great success in almost all data modalities, with limitations on the quadratic complexity and difficulty of training…
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen, Minh Lenhat, Khoa Nguyen +3
The versatility of self-attention mechanism earned transformers great success in almost all data modalities, with limitations on the quadratic complexity and difficulty of training…
ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding
Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo +2
Scene graphs have been proven to be useful for various scene understanding tasks due to their compact and explicit nature. However, existing approaches often neglect the importance…
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo, Truong Son Hy, Puoya Tabaghi +7
The run-time for optimization tools used in chip design has grown with the complexity of designs to the point where it can take several days to go through one design cycle which ha…