Hongliang Li
24 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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(12)
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(5)
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Research topics
Machine Learning
(15)
Computer Vision
(12)
Deep Learning
(11)
Learning Types Β· Machine Learning
(11)
Analysis
(7)
Learning Types Β· Deep Learning
(7)
Artificial Intelligence
(6)
Processing
(6)
Application Areas
(5)
Core AI
(5)
Natural Language Processing
(4)
Core Methods
(4)
Optimization & Theory
(4)
Domain-Specific
(3)
Models
(3)
Keywords
class-incremental learning
(5)
continual learning
(5)
catastrophic forgetting
(4)
semantic segmentation
(3)
object detection
(3)
knowledge distillation
(2)
multimodal learning
(2)
optical character recognition
(2)
neural network
(2)
egocentric vision
(2)
large language model
(2)
multimodal large language model
(2)
self-supervised learning
(1)
prototype learning
(1)
bayesian inference
(1)
causal inference
(1)
ensemble learning
(1)
document understanding
(1)
domain adaptation
(1)
model distillation
(1)
Papers
Ego-PMOVE: Prompt-aware Mixture of View Experts Network for Egocentric Gaze Prediction
AAAI 2026
Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning
AAAI 2026
SAVA-X: Ego-to-Exo Imitation Error Detection via Scene-Adaptive View Alignment and Bidirectional Cross View Fusion
CVPR 2026
Test-time Ego-Exo-centric Adaptation for Action Anticipation via Multi-Label Prototype Growing and Dual-Clue Consistency
CVPR 2026
DocLayLLM: An Efficient Multi-modal Extension of Large Language Models for Text-rich Document Understanding
CVPR 2025
Multilingual Collaborative Defense for Large Language Models
EMNLP 2025
Multi-Stage LLM Fine-Tuning with a Continual Learning Setting
NAACL 2025
RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMs
ACL 2025
Towards Cost-Effective Reward Guided Text Generation
ICML 2025
Bridging the Gap Between End-to-End and Two-Step Text Spotting
CVPR 2024
Class Incremental Learning with Multi-Teacher Distillation
CVPR 2024
Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning
CVPR 2024
Prompt-Driven Referring Image Segmentation with Instance Contrasting
CVPR 2024
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning
CVPR 2023
Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning
ICCV 2023
Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
CVPR 2023
Novel Slot Detection With an Incremental Setting
EMNLP 2023
Optimizing Mode Connectivity for Class Incremental Learning
ICML 2023
CrossDet: Crossline Representation for Object Detection
ICCV 2021
Learning with Noisy Class Labels for Instance Segmentation
ECCV 2020
Offset Bin Classification Network for Accurate Object Detection
CVPR 2020
Scene Parsing via Integrated Classification Model and Variance-Based Regularization
CVPR 2019
Key-Word-Aware Network for Referring Expression Image Segmentation
ECCV 2018
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models
CVPR 2016