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Hai Li

43 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (73) 🀝 Dynamic Duo (24) πŸ‘‘ Triple Crown πŸ† Keyword Champion 🧬 Topic Evolution πŸ† Grand Slam ❓ The Questioner πŸ—ƒοΈ Keyword Collector (179) πŸ’Ž Century Club (41) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ⚑ Prolific Year (5) πŸš€ Conference Pioneer

Conferences

ICLR (6) NIPS (6) WACV (6) AAAI (5) CVPR (5) ICML (4) ICCV (3) INTERSPEECH (3) ECCV (2) ACL (1) AUTOML (1) EACL (1)

Top co-authors

Yiran Chen (24) Jingwei Sun (8) Wei Wen (7) Jingyang Zhang (6) Jianyi Zhang (6) Ang Li (5) Huanrui Yang (5) Feng Yan (5) Nathan Inkawhich (4) Minxue Tang (3)

Research topics

Privacy (1)

Keywords

federated learning (6) model compression (5) object detection (4) adversarial training (4) neural architecture search (4) adversarial defense (3) representation learning (3) model efficiency (2) vision transformer (2) adversarial learning (2) semantic segmentation (2) convolutional neural network (2) data heterogeneity (2) parameter reduction (2) self-supervised learning (2) neural network optimization (2) edge device (2) image generation (1) adversarial robustness (1) generative modeling (1)

Papers

FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression EACL 2026 Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors AAAI 2026 PanoGS: Gaussian-based Panoptic Segmentation for 3D Open Vocabulary Scene Understanding CVPR 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility ICLR 2025 Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing ICCV 2025 MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025 SADA: Stability-guided Adaptive Diffusion Acceleration ICML 2025 Tunable Hybrid Proposal Networks for the Open World WACV 2024 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024 FreeV: Free Lunch For Vocoders Through Pseudo Inversed Mel Filter INTERSPEECH 2024 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud WACV 2023 FLSL: Feature-level Self-supervised Learning NIPS 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023 Enhanced Training Methods for Multiple Languages ACL 2023 Global Vision Transformer Pruning With Hessian-Aware Saliency CVPR 2023 Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations ICCV 2023 Disentangling Learning Representations with Density Estimation ICLR 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-Grained Environments WACV 2023 NashAE: Disentangling Representations through Adversarial Covariance Minimization ECCV 2022 The Untapped Potential of Off-the-Shelf Convolutional Neural Networks WACV 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AUTOML 2022 Automated Detection of Wilson’s Disease Based on Improved Mel-frequency Cepstral Coefficients with Signal Decomposition INTERSPEECH 2022 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NIPS 2021 Enriching Source Style Transfer in Recognition-Synthesis Based Non-Parallel Voice Conversion INTERSPEECH 2021 Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization WACV 2021 BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization ICLR 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 KGDet: Keypoint-Guided Fashion Detection AAAI 2021 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures ICLR 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NIPS 2020 PENNI: Pruned Kernel Sharing for Efficient CNN Inference ICML 2020 Neural Predictor for Neural Architecture Search ECCV 2020 Defending Neural Backdoors via Generative Distribution Modeling NIPS 2019 Learning Intrinsic Sparse Structures within Long Short-Term Memory ICLR 2018 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning NIPS 2017 Coordinating Filters for Faster Deep Neural Networks ICCV 2017 Learning Structured Sparsity in Deep Neural Networks NIPS 2016