Jianlong Wu
23 papers · 2018–2026 · 7 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
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(121)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Deep Learning
(13)
Learning Types Β· Machine Learning
(9)
Core Methods
(8)
Learning Types Β· Deep Learning
(8)
Artificial Intelligence
(6)
Computer Vision
(6)
Core AI
(6)
Application Areas
(5)
Natural Language Processing
(4)
Analysis
(4)
Optimization & Theory
(4)
Models
(3)
Resources & Methods
(3)
Data Science & Analytics
(2)
Keywords
semantic segmentation
(3)
neural network
(3)
video understanding
(2)
representation learning
(2)
contrastive learning
(2)
feature alignment
(2)
model compression
(2)
feature representation
(2)
multimodal large language model
(2)
image clustering
(2)
multimodal learning
(2)
knowledge distillation
(2)
graph learning
(1)
function approximation
(1)
ensemble learning
(1)
graph laplacian
(1)
catastrophic forgetting
(1)
action recognition
(1)
emotion recognition
(1)
semi-supervised learning
(1)
Papers
Breaking the Regional Perception Bottleneck of Multimodal Large Language Models via External Reasoning Framework
CVPR 2026
Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency
AAAI 2026
AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding
ACL 2025
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
CVPR 2025
HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models
ACL 2025
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
NeurIPS 2024
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
ECCV 2024
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning
CVPR 2023
Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition
ACL 2023
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
ECCV 2022
High Quality Segmentation for Ultra High-Resolution Images
CVPR 2022
Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation
CVPR 2022
Graph Contrastive Clustering
ICCV 2021
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space
NeurIPS 2020
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
AAAI 2020
Local Correlation Consistency for Knowledge Distillation
ECCV 2020
Maximum-and-Concatenation Networks
ICML 2020
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
AAAI 2020
Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering
AAAI 2020
Deep Comprehensive Correlation Mining for Image Clustering
ICCV 2019
Differentiable Linearized ADMM
ICML 2019
Expectation-Maximization Attention Networks for Semantic Segmentation
ICCV 2019
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
ECCV 2018