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Meng Li

41 papers · 2018–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ‘₯ Mega-Team (37) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (190) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ’Ž Century Club (40) πŸ”₯ Unstoppable (8)

Conferences

CVPR (7) ACL (5) AAAI (4) ICML (4) NIPS (4) ECCV (3) EMNLP (2) ICLR (2) INTERSPEECH (2) JMLR (2) AUTOML (1) ICCV (1) IJCAI (1) MICCAI (1) RSS (1) SEMEVAL (1)

Top co-authors

Vikas Chandra (11) Dilin Wang (6) Chengyue Gong (4) Xiting Wang (4) Raghuraman Krishnamoorthi (3) Qiang Liu (3) Yonggan Fu (3) Yingyan Lin (3) Haichuan Yang (3) Runsheng Wang (3)

Keywords

neural architecture search (7) model compression (4) large language model (4) knowledge distillation (3) semantic segmentation (3) image classification (3) object detection (3) model interpretability (2) efficient computing (2) weight sharing (2) data augmentation (2) self-supervised learning (2) vision transformer (2) computational efficiency (2) optimal transport (2) sentiment analysis (2) neural network architecture (2) uncertainty quantification (2) event camera (2) deep learning (2)

Papers

SOAR: Supervision from Observation for Agentic Reinforcement Learning ACL 2026 Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization ACL 2025 Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$ ICML 2025 SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025 Internal Value Alignment in Large Language Models through Controlled Value Vector Activation ACL 2025 Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025 RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation RSS 2025 Degradation-Aware Feature Perturbation for All-in-One Image Restoration CVPR 2025 Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems AAAI 2024 Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts ACL 2024 Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture ECCV 2024 ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction NIPS 2024 Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model MICCAI 2024 Evaluating Readability and Faithfulness of Concept-based Explanations EMNLP 2024 PrivCirNet: Efficient Private Inference via Block Circulant Transformation NIPS 2024 Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction EMNLP 2023 Stroke Extraction of Chinese Character Based on Deep Structure Deformable Image Registration AAAI 2023 MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention ICCV 2023 Frame-Event Alignment and Fusion Network for High Frame Rate Tracking CVPR 2023 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NIPS 2023 On the Estimation of Derivatives Using Plug-in Kernel Ridge Regression Estimators JMLR 2023 Double Spike Dirichlet Priors for Structured Weighting JMLR 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AUTOML 2022 Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation CVPR 2022 SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022 Content-Oriented Learned Image Compression ECCV 2022 Few-Shot Class-Incremental Learning from an Open-Set Perspective ECCV 2022 NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training ICLR 2022 DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks ICML 2022 Decentralized Unsupervised Learning of Visual Representations IJCAI 2022 BiT: Robustly Binarized Multi-distilled Transformer NIPS 2022 CPT: Efficient Deep Neural Network Training via Cyclic Precision ICLR 2021 KeepAugment: A Simple Information-Preserving Data Augmentation Approach CVPR 2021 Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference ICML 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 Exploring wav2vec 2.0 on Speaker Verification and Language Identification INTERSPEECH 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images CVPR 2020 A Convolutional Neural Network with Non-Local Module for Speech Enhancement INTERSPEECH 2019 ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets SEMEVAL 2018