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Ngai Wong

36 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (55) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) ❓ The Questioner πŸ’Ž Century Club (34) πŸ—ƒοΈ Keyword Collector (142) ⚑ Prolific Year (9) πŸ”₯ Unstoppable (7)

Conferences

EMNLP (7) ACL (4) ICML (4) IJCAI (4) AAAI (3) WACV (3) COLING (2) ECCV (2) NAACL (2) NIPS (2) CVPR (1) ICCV (1) ICLR (1)

Papers

Revisiting Model Interpolation for Efficient Reasoning ACL 2026 Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation ACL 2026 GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors EMNLP 2025 Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs COLING 2025 Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models COLING 2025 DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables CVPR 2025 UNComp: Can Matrix Entropy Uncover Sparsity? β€” A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025 KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation EMNLP 2025 TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review EMNLP 2025 Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency ICCV 2025 ParallelComp: Parallel Long-Context Compressor for Length Extrapolation ICML 2025 Nonparametric Teaching for Graph Property Learners ICML 2025 Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers IJCAI 2025 Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction IJCAI 2025 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies NIPS 2024 LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models NAACL 2024 Weight-Inherited Distillation for Task-Agnostic BERT Compression NAACL 2024 ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference ICLR 2024 Nonparametric Teaching of Implicit Neural Representations ICML 2024 Learning Spatially Collaged Fourier Bases for Implicit Neural Representation AAAI 2024 Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution IJCAI 2024 Taming Lookup Tables for Efficient Image Retouching ECCV 2024 Mixture-of-Subspaces in Low-Rank Adaptation EMNLP 2024 Structured Pruning for Efficient Generative Pre-trained Language Models ACL 2023 Context-Aware Transformer for 3D Point Cloud Automatic Annotation AAAI 2023 Gradually Excavating External Knowledge for Implicit Complex Question Answering EMNLP 2023 FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation WACV 2022 Compression of Generative Pre-trained Language Models via Quantization ACL 2022 EZCrop: Energy-Zoned Channels for Robust Output Pruning WACV 2022 Multimodal Transformer for Automatic 3D Annotation and Object Detection ECCV 2022 S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation WACV 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform NIPS 2021 Fastened CROWN: Tightened Neural Network Robustness Certificates AAAI 2020 MiSC: Mixed Strategies Crowdsourcing IJCAI 2019 POPQORN: Quantifying Robustness of Recurrent Neural Networks ICML 2019