activity
20232026
most citedDRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition

3 citations · 3 across the 7 of their papers we have counts for

collaborators

9 papers

cs.IR2026

DyHist: Query-Aware Historical Dynamics Modeling for Temporal Knowledge Graph Extrapolation

Peiyuan Jiang, Yao Liu, Yubo Wen +8

Temporal Knowledge Graph (TKG) extrapolation aims to predict future facts from observed historical events. Existing methods usually achieve this goal by jointly modeling local hist…

cs.CL2026

Denoising the Future: Context-Aware Spectral Diffusion for Temporal Knowledge Graph Extrapolation

Yanglei Gan, Peng He, Run Lin +3

Temporal Knowledge Graph (TKG) extrapolation seeks to infer future facts from time-varying relational histories. Recent diffusion-based approaches improve uncertainty modeling thro…

cs.LG2026

FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting

Peng He, Yao Liu, Yanglei Gan +3

While Transformer-based architectures have established themselves as a dominant paradigm in Multivariate Time Series Forecasting (MTSF), their core self-attention mechanism inheren…

cs.LG2026

GLIDE: Graph-guided Leap Inference for Diffusion Estimation of Spatio-Temporal Point Processes

Guanyu Zhou, Yao Liu, Yanglei Gan +5

Spatio-temporal point processes (STPPs) provide a principled framework for modeling asynchronous events in continuous time and space. Recent diffusion-based approaches offer a flex…

cs.CV2026

MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection

Peiyuan Jiang, Yao Liu, Yanglei Gan +4

Non-contact automatic deception detection remains challenging because visual and auditory deception cues often lack stable cross-subject patterns. In contrast, galvanic skin respon…

cs.AI2026

Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation

Yanglei Gan, Peng He, Yuxiang Cai +3

Temporal Knowledge Graph (TKG) reasoning seeks to predict future missing facts from historical evidence. While diffusion models (DM) have recently gained attention for their abilit…

cs.MM2025★ 3 cited

DRKF: Decoupled Representations with Knowledge Fusion for Multimodal Emotion Recognition

Peiyuan Jiang, Yao Liu, Qiao Liu +4

Multimodal emotion recognition (MER) aims to identify emotional states by integrating and analyzing information from multiple modalities. However, inherent modality heterogeneity a…

cs.CV2024

DiffuTraj: A Stochastic Vessel Trajectory Prediction Approach via Guided Diffusion Process

Changlin Li, Yanglei Gan, Tian Lan +4

Maritime vessel maneuvers, characterized by their inherent complexity and indeterminacy, requires vessel trajectory prediction system capable of modeling the multi-modality nature…

cs.CL2023

Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction

Da Luo, Yanglei Gan, Rui Hou +4

Few-shot Relation Extraction (FSRE) aims to extract relational facts from a sparse set of labeled corpora. Recent studies have shown promising results in FSRE by employing Pre-trai…