Yongsen Zheng
12 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (28) π Keyword Champion (4)
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(61)
Top co-authors
Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Core AI
(9)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Data Science & Analytics
(5)
Applications
(5)
Deep Learning
(3)
Natural Language Processing
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Computer Vision
(2)
Knowledge & Reasoning
(2)
Reinforcement Learning
(2)
Generation
(2)
Keywords
conversational recommender system
(4)
vision-language model
(3)
contrastive learning
(3)
policy learning
(2)
multi-interest learning
(2)
out-of-distribution generalization
(2)
matthew effect
(2)
recommender system
(2)
filter bubble
(2)
cross-modal alignment
(2)
conversational recommendation
(2)
video anomaly detection
(1)
hypergraph learning
(1)
bidirectional attention
(1)
temporal grounding
(1)
feature selection
(1)
multimodal learning
(1)
weakly supervised learning
(1)
domain adaptation
(1)
state-of-the-art performance
(1)
Papers
A Causal Marriage between VLM and IRM from Understanding to Reasoning
CVPR 2026
Spectra: A Mechanistic Interpretability Library for Vision-Language Models
ACL 2026
Vocabulary Scaling Law: Tuning Open-vocabulary Predictors for Their Openness
CVPR 2026
CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection
ACL 2025
Cross-modal Causal Relation Alignment for Video Question Grounding
CVPR 2025
HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System
ACL 2025
Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
ACL 2025
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
AAAI 2024
FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
AAAI 2024
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
ACL 2024
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
EMNLP 2024
HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System
EMNLP 2023