3 citations · 3 across the 11 of their papers we have counts for
11 papers
Adaptive Hierarchical Representation Alliance for Multimodal Learning
Chunlei Meng, Pengbin Feng, Jacqueline J. Pang +5
Multimodal models often align language, vision, and audio in a single final-layer latent space, implicitly assuming that task-relevant evidence emerges at the same semantic depth a…
Rethinking Modality Reliability in Multimodal Sentiment Analysis with Incomplete Observations
Chunlei Meng, Jacqueline J. Pang, Pengbin Feng +3
Multimodal Sentiment Analysis (MSA) integrates text, audio, and vision to infer human affect, yet real-world multimodal observations are often incomplete. Existing methods for inco…
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability
Yi Liu, Hongda Zhang, Leyao Zou +7
Path planning under partial observability remains challenging because an agent must make long-horizon navigation decisions from only locally bounded observations. Nevertheless, his…
Group Cognition Learning: Making Everything Better Through Governed Two-Stage Agents Collaboration
Chunlei Meng, Pengbin Feng, Rong Fu +7
Centralized multimodal learning commonly compresses language, acoustic, and visual signals into a single fused representation for prediction. While effective, this paradigm suffers…
Mitigating Shared-Private Branch Imbalance via Dual-Branch Rebalancing for Multimodal Sentiment Analysis
Chunlei Meng, Jiabin Luo, Pengbin Feng +4
Multimodal Sentiment Analysis (MSA) requires integrating language, acoustic, and visual signals without sacrificing modality-specific sentiment evidence. Existing methods mainly im…
CLCR: Cross-Level Semantic Collaborative Representation for Multimodal Learning
Chunlei Meng, Guanhong Huang, Rong Fu +3
Multimodal learning aims to capture both shared and private information from multiple modalities. However, existing methods that project all modalities into a single latent space f…
Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis
Chunlei Meng, Jiabin Luo, Zhenglin Yan +4
Multimodal Sentiment Analysis (MSA) integrates language, visual, and acoustic modalities to infer human sentiment. Most existing methods either focus on globally shared representat…
Temporal-Spatial Decouple before Act: Disentangled Representation Learning for Multimodal Sentiment Analysis
Chunlei Meng, Ziyang Zhou, Lucas He +3
Multimodal Sentiment Analysis integrates Linguistic, Visual, and Acoustic. Mainstream approaches based on modality-invariant and modality-specific factorization or on complex fusio…
Pheromone-Focused Ant Colony Optimization algorithm for path planning
Yi Liu, Hongda Zhang, Zhongxue Gan +4
Ant Colony Optimization (ACO) is a prominent swarm intelligence algorithm extensively applied to path planning. However, traditional ACO methods often exhibit shortcomings, such as…
ViG3D-UNet: Volumetric Vascular Connectivity-Aware Segmentation via 3D Vision Graph Representation
Bowen Liu, Chunlei Meng, Wei Lin +4
Accurate vascular segmentation is essential for coronary visualization and the diagnosis of coronary heart disease. This task involves the extraction of sparse tree-like vascular b…
CTA-Net: A CNN-Transformer Aggregation Network for Improving Multi-Scale Feature Extraction
Chunlei Meng, Jiacheng Yang, Wei Lin +4
Convolutional neural networks (CNNs) and vision transformers (ViTs) have become essential in computer vision for local and global feature extraction. However, aggregating these arc…