Hanghang Tong

dLLM: Simple Diffusion Language Modeling ACL 2026 Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 How to Make LMs Strong Node Classifiers? EACL 2026 Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents ACL 2026 Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR ACL 2026 Ask, and it shall be given: On the Turing completeness of prompting ICLR 2025 Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting ICML 2025 Harnessing Vision Models for Time Series Analysis: A Survey IJCAI 2025 How efficient is LLM-generated code? A rigorous & high-standard benchmark ICLR 2025 Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning ICCV 2025 Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation ICLR 2025 SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence ACL 2025 Taming Knowledge Conflicts in Language Models ICML 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025 To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach EMNLP 2025 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NeurIPS 2024 Class-Imbalanced Graph Learning without Class Rebalancing ICML 2024 Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph ACL 2024 Deceptive Fairness Attacks on Graphs via Meta Learning ICLR 2024 Discrete-state Continuous-time Diffusion for Graph Generation NeurIPS 2024 Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering EMNLP 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 Hierarchical Multi-Marginal Optimal Transport for Network Alignment AAAI 2024 Neural Active Learning Beyond Bandits ICLR 2024 PageRank Bandits for Link Prediction NeurIPS 2024 Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key? ACL 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter ICML 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs AAAI 2024 Do We Really Need Complicated Model Architectures For Temporal Networks? ICLR 2023 From Trainable Negative Depth to Edge Heterophily in Graphs NeurIPS 2023 Generative Graph Dictionary Learning ICML 2023 Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs ALT 2023 Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning ICLR 2023 Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning ACL 2023 Reconciling Competing Sampling Strategies of Network Embedding NeurIPS 2023 A Deep Learning Dataloader with Shared Data Preparation NeurIPS 2022 An Invisible Black-Box Backdoor Attack through Frequency Domain ECCV 2022 Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning AAAI 2022 CoNSoLe: Convex Neural Symbolic Learning NeurIPS 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Improved Algorithms for Neural Active Learning NeurIPS 2022 Dynamic Knowledge Graph Alignment AAAI 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 Multiplex Graph Neural Network for Extractive Text Summarization EMNLP 2021 CooBa: Cross-project Bug Localization via Adversarial Transfer Learning IJCAI 2020 HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction EMNLP 2020 Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering NeurIPS 2020 An Integral Tag Recommendation Model for Textual Content AAAI 2019 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 NeurIPS 2019 Robust Principal Component Analysis with Adaptive Neighbors NeurIPS 2019 Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison IJCAI 2015 GenDeR: A Generic Diversified Ranking Algorithm NeurIPS 2012