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Zhenyu Zhang

94 papers · 2018–2026 · 13 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Zhenyu Zhang?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Zhangyang Wang, Tianlong Chen, Shiwei Liu 29 papers · 2021–2025 · ICML, ICLR, NeurIPS Hide ▲
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More ICML 2025 On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving ICML 2025 R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference ICLR 2025 CaM: Cache Merging for Memory-efficient LLMs Inference ICML 2024 Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding NeurIPS 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024 Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference ICML 2024 JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention ICLR 2024 Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024 Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity ICML 2024 Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once ICML 2024 Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention AAAI 2024 Are Large Kernels Better Teachers than Transformers for ConvNets? ICML 2023 H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models NeurIPS 2023 Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? ICML 2023 Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers ICLR 2023 Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! ICLR 2023 Data-Efficient Double-Win Lottery Tickets from Robust Pre-training ICML 2022 Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness ICML 2022 Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NeurIPS 2022 Sparse Winning Tickets are Data-Efficient Image Recognizers NeurIPS 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training ICLR 2022 The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy CVPR 2022 Efficient Lottery Ticket Finding: Less Data is More ICML 2021 GANs Can Play Lottery Tickets Too ICLR 2021 Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning ICLR 2021 Robust Overfitting may be mitigated by properly learned smoothening ICLR 2021 You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership NeurIPS 2021
5 papers whose co-authors appear nowhere else under this name
CPTCoder: A Reliable LLM System for Medical Procedure Code Prediction ACL 2026 Dual-Kernel Graph Community Contrastive Learning AAAI 2026 MedLoc-R1: Performance-Aware Curriculum Reward Scheduling for GRPO-Based Medical Visual Grounding CVPR 2026 Diffusion-based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting ICLR 2025 E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models COLING 2025

Venues · all papers under this name

CVPR (21) ICML (13) ACL (12) ICLR (10) AAAI (9) NeurIPS (9) EMNLP (5) ICCV (5) COLING (3) ECCV (3) IJCAI (2) AISTATS (1) NAACL (1)