activity
20222025
most citedUnsupervised Representation Learning for Time Series: A Review

14 citations · 27 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

InsTex: Indoor Scenes Stylized Texture Synthesis

Yunfan Zhang, Zhiwei Xiong, Zhiqi Shen +3

Generating high-quality textures for 3D scenes is crucial for applications in interior design, gaming, and augmented/virtual reality (AR/VR). Although recent advancements in 3D gen…

cs.AI202413 cited

Gradient based Feature Attribution in Explainable AI: A Technical Review

Yongjie Wang, Tong Zhang, Xu Guo +1

The surge in black-box AI models has prompted the need to explain the internal mechanism and justify their reliability, especially in high-stakes applications, such as healthcare a…

cs.IR2024

Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation

Lingzi Zhang, Xin Zhou, Zhiwei Zeng +1

Recent sequential recommendation models have combined pre-trained text embeddings of items with item ID embeddings to achieve superior recommendation performance. Despite their eff…

cs.CV2024

Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects

Yunfan Zhang, Hong Huang, Zhiwei Xiong +4

Controllable 3D indoor scene synthesis stands at the forefront of technological progress, offering various applications like gaming, film, and augmented/virtual reality. The capabi…

cs.CL2023

Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition

Yige Xu, Zhiwei Zeng, Zhiqi Shen

Emotion Recognition in Conversation (ERC) has been widely studied due to its importance in developing emotion-aware empathetic machines. The rise of pre-trained language models (PL…

cs.LG202314 cited

Unsupervised Representation Learning for Time Series: A Review

Qianwen Meng, Hangwei Qian, Yong Liu +3

Unsupervised representation learning approaches aim to learn discriminative feature representations from unlabeled data, without the requirement of annotating every sample. Enablin…