Hanghang Tong

55 papers · 2012–2026 · 12 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🗺️ Taxonomy Completionist (91) 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13) 🤝 Dynamic Duo (12) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (12) 🏆 Keyword Champion 🔥 Unstoppable (7) 🚀 Conference Pioneer ⚡ Prolific Year (14) 🗃️ Keyword Collector (222) ❓ The Questioner (3) 💎 Century Club (53) 📈 Trend Setter

Conferences

NIPS (13) ICLR (8) ICML (7) AAAI (6) EMNLP (5) IJCAI (5) ACL (4) EACL (2) NAACL (2) ALT (1) ECCV (1) ICCV (1)

Top co-authors

Jingrui He (13) Ruizhong Qiu (10) Yuchen Yan (9) Zhichen Zeng (8) Zhining Liu (7) Yuan Yao (7) Zhe Xu (6) Feng Xu (5) Tianxin Wei (5) Yikun Ban (4)

Keywords

graph neural network (8) representation learning (4) node classification (4) knowledge graph (3) neural network (3) large language model (3) attention mechanism (3) graph encoder (2) active learning (2) recommender system (2) link prediction (2) semi-supervised learning (2) node embedding (2) graph convolutional network (2) language model (2) domain adaptation (2) generative model (2) question answering (2) graph generation (2) regret bound (2)

Papers

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026

How to Make LMs Strong Node Classifiers? EACL 2026

To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach EMNLP 2025

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence ACL 2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025

Taming Knowledge Conflicts in Language Models ICML 2025

Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025

Ask, and it shall be given: On the Turing completeness of prompting ICLR 2025

How efficient is LLM-generated code? A rigorous & high-standard benchmark ICLR 2025

Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation ICLR 2025

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter ICML 2024

PageRank Bandits for Link Prediction NIPS 2024

Discrete-state Continuous-time Diffusion for Graph Generation NIPS 2024

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NIPS 2024

Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024

Hierarchical Multi-Marginal Optimal Transport for Network Alignment AAAI 2024

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL 2024

Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph ACL 2024

Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering EMNLP 2024

Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024

Neural Active Learning Beyond Bandits ICLR 2024

Class-Imbalanced Graph Learning without Class Rebalancing ICML 2024

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization ICML 2024

Graph Mixup on Approximate Gromov–Wasserstein Geodesics ICML 2024

Generative Graph Dictionary Learning ICML 2023

Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs ALT 2023

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning ACL 2023

Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023

Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023

From Trainable Negative Depth to Edge Heterophily in Graphs NIPS 2023

Reconciling Competing Sampling Strategies of Network Embedding NIPS 2023

CoNSoLe: Convex Neural Symbolic Learning NIPS 2022

Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022

A Deep Learning Dataloader with Shared Data Preparation NIPS 2022

An Invisible Black-Box Backdoor Attack through Frequency Domain ECCV 2022

Improved Algorithms for Neural Active Learning NIPS 2022

Deep Active Learning by Leveraging Training Dynamics NIPS 2022

Multiplex Graph Neural Network for Extractive Text Summarization EMNLP 2021

EventKE: Event-Enhanced Knowledge Graph Embedding EMNLP 2021

Event Time Extraction and Propagation via Graph Attention Networks NAACL 2021

GENE: Global Event Network Embedding NAACL 2021

Dynamic Knowledge Graph Alignment AAAI 2021

Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NIPS 2020

HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction EMNLP 2020

CooBa: Cross-project Bug Localization via Adversarial Transfer Learning IJCAI 2020

Commit Message Generation for Source Code Changes IJCAI 2019

Deep Multi-Task Learning with Adversarial-and-Cooperative Nets IJCAI 2019

Hashtag Recommendation for Photo Sharing Services AAAI 2019

PC-Fairness: A Unified Framework for Measuring Causality-based Fairness NIPS 2019

Robust Principal Component Analysis with Adaptive Neighbors NIPS 2019

An Integral Tag Recommendation Model for Textual Content AAAI 2019

Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison IJCAI 2015

GenDeR: A Generic Diversified Ranking Algorithm NIPS 2012