Pu Zhao

Gradient-Guided Multi-Judge Prompt Optimization ACL 2026 HierAmp: Coarse-to-Fine Autoregressive Amplification for Generative Dataset Distillation CVPR 2026 RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to Repository ACL 2026 AdaptFlow: Adaptive Workflow Optimization via Meta-Learning EMNLP 2025 ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation EMNLP 2025 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts IJCAI 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers AAAI 2025 Numerical Pruning for Efficient Autoregressive Models AAAI 2025 Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation WACV 2025 QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge CVPR 2025 SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025 Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation EMNLP 2025 Sparse Learning for State Space Models on Mobile ICLR 2025 Taming Diffusion for Dataset Distillation with High Representativeness ICML 2025 Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation EMNLP 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 2025 WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct ICLR 2025 DiffClass: Diffusion-Based Class Incremental Learning ECCV 2024 Exploring Token Pruning in Vision State Space Models NeurIPS 2024 Fast and Memory-Efficient Video Diffusion Using Streamlined Inference NeurIPS 2024 FasterVD: On Acceleration of Video Diffusion Models IJCAI 2024 InstructGIE: Towards Generalizable Image Editing ECCV 2024 Pruning Foundation Models for High Accuracy without Retraining EMNLP 2024 Rethinking Token Reduction for State Space Models EMNLP 2024 Search for Efficient Large Language Models NeurIPS 2024 SELF-GUARD: Empower the LLM to Safeguard Itself NAACL 2024 WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena NeurIPS 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct ICLR 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions ICLR 2024 Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering EMNLP 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval ICCV 2023 MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation ACL 2023 Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge CVPR 2023 Towards Real-Time Segmentation on the Edge AAAI 2023 Advancing Model Pruning via Bi-level Optimization NeurIPS 2022 Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution ECCV 2022 Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations IJCAI 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022 T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022 Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search ICCV 2021 A Compression-Compilation Framework for On-mobile Real-time BERT Applications IJCAI 2021 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks IJCAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems AAAI 2021 NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021 Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness ICLR 2020 Intelligent Virtual Machine Provisioning in Cloud Computing IJCAI 2020 Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions OSDI 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization IJCAI 2020 On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability ICLR 2019