Ngai Wong
38 papers · 2019–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (62) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(15)
π
Triple Crown
π
Grand Slam
β‘
Prolific Year Β· Prolific
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(175)
Venues
Top co-authors
Research topics
Machine Learning
(31)
Application Areas
(22)
Deep Learning
(18)
Artificial Intelligence
(17)
Core AI
(17)
Architectures
(8)
Optimization & Theory Β· Deep Learning
(8)
Computer Vision
(7)
Natural Language Processing
(7)
Core Methods
(6)
Optimization & Theory Β· Machine Learning
(6)
Processing
(6)
Learning Types
(5)
Models
(5)
Analysis
(4)
Keywords
model compression
(11)
large language model
(6)
knowledge distillation
(5)
implicit neural representation
(4)
language model
(3)
parameter-efficient fine-tuning
(3)
look-up table
(2)
3d gaussian splatting
(2)
multi-layer perceptron
(2)
adversarial attack
(2)
object detection
(2)
model quantization
(2)
edge computing
(2)
attention mechanism
(2)
convolutional neural network
(2)
efficient inference
(2)
question answering
(2)
gradient descent
(2)
scene reconstruction
(2)
low-rank adaptation
(2)
Papers
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
ACL 2026
NTK-Guided Implicit Neural Teaching
CVPR 2026
Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance
CVPR 2026
Revisiting Model Interpolation for Efficient Reasoning
ACL 2026
DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
CVPR 2025
Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs
COLING 2025
GuiLoMo: Allocating Experts and Ranks for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors
EMNLP 2025
Hybrid Mesh-Gaussian Representation for Efficient Indoor Scene Reconstruction
IJCAI 2025
KG-RAG: Enhancing GUI Agent Decision-Making via Knowledge Graph-Driven Retrieval-Augmented Generation
EMNLP 2025
Nonparametric Teaching for Graph Property Learners
ICML 2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
ICML 2025
Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency
ICCV 2025
Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
IJCAI 2025
QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
EMNLP 2025
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
COLING 2025
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
EMNLP 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
ICLR 2024
Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution
IJCAI 2024
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
AAAI 2024
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models
NAACL 2024
Mixture-of-Subspaces in Low-Rank Adaptation
EMNLP 2024
Nonparametric Teaching of Implicit Neural Representations
ICML 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NeurIPS 2024
Taming Lookup Tables for Efficient Image Retouching
ECCV 2024
Weight-Inherited Distillation for Task-Agnostic BERT Compression
NAACL 2024
Context-Aware Transformer for 3D Point Cloud Automatic Annotation
AAAI 2023
Gradually Excavating External Knowledge for Implicit Complex Question Answering
EMNLP 2023
Structured Pruning for Efficient Generative Pre-trained Language Models
ACL 2023
Compression of Generative Pre-trained Language Models via Quantization
ACL 2022
EZCrop: Energy-Zoned Channels for Robust Output Pruning
WACV 2022
FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation
WACV 2022
Multimodal Transformer for Automatic 3D Annotation and Object Detection
ECCV 2022
Deformable Butterfly: A Highly Structured and Sparse Linear Transform
NeurIPS 2021
S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-Shot Segmentation
WACV 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