activity
20202026
most citedContrastive Cross-Domain Sequential Recommendation

110 citations · 264 across the 35 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

cs.CV2025

COOPER: A Unified Model for Cooperative Perception and Reasoning in Spatial Intelligence

Zefeng Zhang, Xiangzhao Hao, Hengzhu Tang +8

Visual Spatial Reasoning is crucial for enabling Multimodal Large Language Models (MLLMs) to understand object properties and spatial relationships, yet current models still strugg…

cs.LG2025

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations

Juwei Yue, Haikuo Li, Jiawei Sheng +4

Graph neural networks (GNNs) leverage message passing mechanisms to learn the topological features of graph data. Traditional GNNs learns node features in a spatial domain unrelate…

cs.LG2025

Graph Wave Networks

Juwei Yue, Haikuo Li, Jiawei Sheng +5

Dynamics modeling has been introduced as a novel paradigm in message passing (MP) of graph neural networks (GNNs). Existing methods consider MP between nodes as a heat diffusion pr…

cs.MM2025★ 4 cited

Mitigating Modality Bias in Multi-modal Entity Alignment from a Causal Perspective

Taoyu Su, Jiawei Sheng, Duohe Ma +5

Multi-Modal Entity Alignment (MMEA) aims to retrieve equivalent entities from different Multi-Modal Knowledge Graphs (MMKGs), a critical information retrieval task. Existing studie…

cs.CV2025

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization

Zefeng Zhang, Hengzhu Tang, Jiawei Sheng +6

Multimodal Large Language Models excel in various tasks, yet often struggle with modality bias, where the model tends to rely heavily on a single modality and overlook critical inf…

cs.CL2025

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking

Yilong Chen, Junyuan Shang, Zhenyu Zhang +7

Large language models (LLMs) face inherent performance bottlenecks under parameter constraints, particularly in processing critical tokens that demand complex reasoning. Empirical…

cs.IR2025

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation

Xiaodong Li, Ruochen Yang, Shuang Wen +10

Live-streaming services have attracted widespread popularity due to their real-time interactivity and entertainment value. Users can engage with live-streaming authors by participa…

cs.IR2025

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation

Xiaodong Li, Hengzhu Tang, Jiawei Sheng +5

Cross-domain recommendation (CDR) has been proven as a promising way to alleviate the cold-start issue, in which the most critical problem is how to draw an informative user repres…