Irwin King

21

Papers

56

Total Citations

Papers (21)

A Diffusion-Based Pre-training Framework for Crystal Property Prediction

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction

Boosting the Transferability of Adversarial Samples via Attention

Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching

Towards Global Explanations of Convolutional Neural Networks With Concept Attribution

Improving the Transferability of Adversarial Samples With Adversarial Transformations

Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning

Influential Exemplar Replay for Incremental Learning in Recommender Systems

SelFlow: Self-Supervised Learning of Optical Flow

Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs

Revisiting Parameter Sharing for Automatic Neural Channel Number Search

Unsupervised Text Generation by Learning from Search

Towards Efficient Post-training Quantization of Pre-trained Language Models

Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily

No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective

Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning

Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data