Xingfeng Li
12 papers · 2016–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (9) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (18)
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Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(18)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(56)
π
Conference Pioneer
π
Century Club
(10)
Conferences
INTERSPEECH (5)
AAAI (4)
IJCAI (2)
ICML (1)
Top co-authors
Keywords
multi-view classification
(2)
acoustic feature
(2)
speech emotion
(2)
semi-supervised learning
(2)
multi-view clustering
(2)
image fusion
(1)
prototype learning
(1)
label noise detection
(1)
label noise
(1)
self-supervised representation
(1)
multi-view learning
(1)
context modeling
(1)
network optimization
(1)
neural collapse
(1)
emotion detection
(1)
multimodal fusion
(1)
noisy label
(1)
consensus learning
(1)
feature fusion
(1)
evidential learning
(1)
Papers
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
AAAI 2026
Revisiting Network Inertia: Dynamic Inertia Inhibition Coupled Multidimensional Periodicity for Infrared and Visible Image Fusion
AAAI 2026
Deep Streaming View Clustering
ICML 2025
Robust Graph Contrastive Learning for Incomplete Multi-view Clustering
IJCAI 2025
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
AAAI 2025
Noisy Label Calibration for Multi-View Classification
AAAI 2025
Multimodal Fusion of Music Theory-Inspired and Self-Supervised Representations for Improved Emotion Recognition
INTERSPEECH 2024
Fast Unpaired Multi-view Clustering
IJCAI 2024
Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation
INTERSPEECH 2023
The Contribution of Acoustic Features Analysis to Model Emotion Perceptual Process for Language Diversity
INTERSPEECH 2019
A Three-Layer Emotion Perception Model for Valence and Arousal-Based Detection from Multilingual Speech
INTERSPEECH 2018
Multilingual Speech Emotion Recognition System Based on a Three-Layer Model
INTERSPEECH 2016