134 citations · 170 across the 35 of their papers we have counts for
10 papers · 1 filter
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…
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Quang P. M. Pham, Khoi T. N. Nguyen, Lan C. Ngo +3
Scene graphs have proven to be highly effective for various scene understanding tasks due to their compact and explicit representation of relational information. However, current m…
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
Viet Anh Nguyen, Nhat Khang Ngo, Truong Son Hy
Unsupervised pre-training on vast amounts of graph data is critical in real-world applications wherein labeled data is limited, such as molecule properties prediction or materials…
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…
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
Truong Son Hy, Thieu Khang, Risi Kondor
Multiresolution Matrix Factorization (MMF) is unusual amongst fast matrix factorization algorithms in that it does not make a low rank assumption. This makes MMF especially well su…
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…
E(3)-Equivariant Mesh Neural Networks
Thuan Trang, Nhat Khang Ngo, Daniel Levy +3
Triangular meshes are widely used to represent three-dimensional objects. As a result, many recent works have address the need for geometric deep learning on 3D mesh. However, we o…