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Home/Authors/Hanghang Tong

Hanghang Tong

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:32 PM AMS

21

papers

254

total citations

papers (21)

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

Deep Active Learning by Leveraging Training Dynamics

NEURIPS 2022arXiv

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Class-Imbalanced Graph Learning without Class Rebalancing

Sterling: Synergistic Representation Learning on Bipartite Graphs

Improved Algorithms for Neural Active Learning

NEURIPS 2022arXiv

Neural Active Learning Beyond Bandits

CoNSoLe: Convex Neural Symbolic Learning

NEURIPS 2022arXiv

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

Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency

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

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation

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

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

NEURIPS 2025arXiv

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

An Invisible Black-Box Backdoor Attack through Frequency Domain

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering

From Trainable Negative Depth to Edge Heterophily in Graphs

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Reconciling Competing Sampling Strategies of Network Embedding

A Deep Learning Dataloader with Shared Data Preparation