Chaozhuo Li

Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage

2019

With the increasing popularity and diversity of social media, users tend to join multiple social platforms to enjoy different types of services. User identity linkage, which aims to link identical identities across different social platforms, …

Going Deeper into Permutation-Sensitive Graph Neural Networks

2022 · arXiv (Cornell University)

The invariance to permutations of the adjacency matrix, i.e., graph isomorphism, is an overarching requirement for Graph Neural Networks (GNNs). Conventionally, this prerequisite can be satisfied by the invariant operations over node permutations when aggregating …

Geometric Disentangled Collaborative Filtering

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Learning informative representations of users and items from the historical interactions is crucial to collaborative filtering (CF). Existing CF approaches usually model interactions solely within the Euclidean space. However, the sophisticated user-item interactions inherently present …

Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction

2025

Survival prediction is a pivotal task for estimating mortality risk within a given timeframe based on whole slide images (WSIs). Conventional models typically assume that WSIs across patients are independent and identically distributed, an assumption …