Chong Peng
12 papers · 2017–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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(3)
Data Science & Analytics
(2)
Mathematics & Optimization
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Keywords
multi-view clustering
(1)
unsupervised learning
(1)
causal inference
(1)
dimensionality reduction
(1)
adversarial learning
(1)
manifold learning
(1)
spectral clustering
(1)
causal reasoning
(1)
feature extraction
(1)
principal component analysis
(1)
matrix factorization
(1)
cluster analysis
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ridge regression
(1)
confidence calibration
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image reconstruction
(1)
egocentric vision
(1)
dialogue safety
(1)
graph structure
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ai safety
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subspace clustering
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Papers
From Observation to Understanding: Front-Door Adjustments with Uncertainty Calibration for Enhancing Egocentric Reasoning in LVLMs
ACL 2025
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
EMNLP 2025
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
ICML 2025
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
EMNLP 2024
Cross-View Diversity Embedded Consensus Learning for Multi-View Clustering
IJCAI 2024
Fine-Grained Bipartite Concept Factorization for Clustering
CVPR 2024
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging
ECCV 2024
Stochastic Feature Averaging for Learning with Long-Tailed Noisy Labels
IJCAI 2023
Self-Paced Two-dimensional PCA
AAAI 2021
Social Influence Does Matter: User Action Prediction for In-Feed Advertising
AAAI 2020
RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices
CVPR 2019
Subspace Clustering via Variance Regularized Ridge Regression
CVPR 2017