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← Authors

zengfeng Huang

29 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (7)
🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (115) ⚑ Prolific Year (7) πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

NIPS (7) ICML (6) ICLR (5) AAAI (3) EMNLP (3) JMLR (3) ACL (1) IJCAI (1)

Top co-authors

Shengzhong Zhang (4) zhongyu wei (4) Zhewei Wei (4) David Wipf (4) Wenjie Yang (3) Xuanjing Huang (3) Yangkun Wang (3) Ruiyuan Huang (3) Yongyi Yang (3) Siyuan Wang (2)

Keywords

graph neural network (7) node classification (4) multi-armed bandit (3) matrix sketching (3) online algorithm (3) regret bound (2) representation learning (2) graph convolutional network (2) streaming model (2) frequent direction (2) recurrent neural network (2) knowledge graph (2) covariance error (2) communication complexity (1) text generation (1) adversarial robustness (1) attention mechanism (1) theorem proving (1) semi-supervised learning (1) transformer architecture (1)

Papers

Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning AAAI 2026 Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction AAAI 2026 LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs AAAI 2026 MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy ICLR 2025 HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025 Retrieval-Augmented Language Models are Mimetic Theorem Provers EMNLP 2025 Lipschitz Bandits in Optimal Space ICLR 2025 TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics ICLR 2025 High Probability Bound for Cross-Learning Contextual Bandits with Unknown Context Distributions ICML 2025 Implicit vs Unfolded Graph Neural Networks JMLR 2025 StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning ICLR 2024 On Coresets for Clustering in Small Dimensional Euclidean spaces ICML 2023 Adversarially Robust Distributed Count Tracking via Partial Differential Privacy NIPS 2023 Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition NIPS 2023 Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022 Lipschitz Bandits with Batched Feedback NIPS 2022 Transformers from an Optimization Perspective NIPS 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022 Communication-Efficient Distributed Covariance Sketch, with Application to Distributed PCA JMLR 2021 BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation NIPS 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 Understanding Bandits with Graph Feedback NIPS 2021 Simple and Deep Graph Convolutional Networks ICML 2020 PathQG: Neural Question Generation from Facts EMNLP 2020 Automatic Term Name Generation for Gene Ontology: Task and Dataset EMNLP 2020 Joint Representation Learning of Legislator and Legislation for Roll Call Prediction IJCAI 2020 Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation NIPS 2019 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices JMLR 2019 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices ICML 2018