11 papers
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…
DiffuSent: Towards a Unified Diffusion Framework for Aspect-Based Sentiment Analysis
Shu Long, Yanglei Gan, Xuchuan Zhou
Aspect-Based Sentiment Analysis (ABSA) encompasses seven distinct subtasks, each focusing on different extracted elements. Despite the proven success of generative models in unifie…
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…
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…
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…
Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
Yuxiang Liu, Qiao Liu, Tong Luo +3
Predicting irregularly spaced event sequences with discrete marks poses significant challenges due to the complex, asynchronous dependencies embedded within continuous-time data st…
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…
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
Peng He, Yao Liu, Yanglei Gan +4
Sequential recommendation (SR) aims to predict a user's next item preference by modeling historical interaction sequences. Recent advances often integrate frequency-domain modules…
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…
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…
Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification
Xueyi Liu, Rui Hou, Yanglei Gan +4
Aspect-based sentiment classification is a crucial problem in fine-grained sentiment analysis, which aims to predict the sentiment polarity of the given aspect according to its con…