Hanghang Tong

21

Papers

51

Total Citations

Papers (21)

How efficient is LLM-generated code? A rigorous & high-standard benchmark

Ask, and it shall be given: On the Turing completeness of prompting

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Class-Imbalanced Graph Learning without Class Rebalancing

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization

An Invisible Black-Box Backdoor Attack through Frequency Domain

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning

Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation

Sterling: Synergistic Representation Learning on Bipartite Graphs

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness

Robust Principal Component Analysis with Adaptive Neighbors

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering

CoNSoLe: Convex Neural Symbolic Learning

A Deep Learning Dataloader with Shared Data Preparation

Deep Active Learning by Leveraging Training Dynamics

Improved Algorithms for Neural Active Learning

Reconciling Competing Sampling Strategies of Network Embedding

From Trainable Negative Depth to Edge Heterophily in Graphs