activity
20162022
most citedUnbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat

73 citations · 177 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 7 cited

Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval

Xiang Fang, Daizong Liu, Pan Zhou +1

As an increasingly popular task in multimedia information retrieval, video moment retrieval (VMR) aims to localize the target moment from an untrimmed video according to a given la…

cs.CL2021★ 17 cited

Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction

Wei Wei, Jiayi Liu, Xianling Mao +4

The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. However, this challenge i…

cs.LG2020★ 52 cited

V3H: View Variation and View Heredity for Incomplete Multi-view Clustering

Xiang Fang, Yuchong Hu, Pan Zhou +1

Real data often appear in the form of multiple incomplete views. Incomplete multi-view clustering is an effective method to integrate these incomplete views. Previous methods only…

cs.LG2020★ 7 cited

Double Self-weighted Multi-view Clustering via Adaptive View Fusion

Xiang Fang, Yuchong Hu

Multi-view clustering has been applied in many real-world applications where original data often contain noises. Some graph-based multi-view clustering methods have been proposed t…

cs.CV2020★ 2 cited

ANIMC: A Soft Framework for Auto-weighted Noisy and Incomplete Multi-view Clustering

Xiang Fang, Yuchong Hu, Pan Zhou +1

Multi-view clustering has wide applications in many image processing scenarios. In these scenarios, original image data often contain missing instances and noises, which is ignored…

cs.LG2020★ 73 cited

Unbalanced Incomplete Multi-view Clustering via the Scheme of View Evolution: Weak Views are Meat; Strong Views do Eat

Xiang Fang, Yuchong Hu, Pan Zhou +1

Incomplete multi-view clustering is an important technique to deal with real-world incomplete multi-view data. Previous works assume that all views have the same incompleteness, i.…

cs.CL2020★ 3 cited

Target Guided Emotion Aware Chat Machine

Wei Wei, Jiayi Liu, Xianling Mao +5

The consistency of a response to a given post at semantic-level and emotional-level is essential for a dialogue system to deliver human-like interactions. However, this challenge i…

cs.LG2016★ 13 cited

Context-Aware Online Learning for Course Recommendation of MOOC Big Data

Yifan Hou, Pan Zhou, Ting Wang +3

The Massive Open Online Course (MOOC) has expanded significantly in recent years. With the widespread of MOOC, the opportunity to study the fascinating courses for free has attract…

cs.GT2016★ 3 cited

Private and Truthful Aggregative Game for Large-Scale Spectrum Sharing

Pan Zhou, Wenqi Wei, Kaigui Bian +3

Thanks to the rapid development of information technology, the size of the wireless network becomes larger and larger, which makes spectrum resources more precious than ever before…