Jianqiang Li
23 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(13)
Artificial Intelligence
(11)
Core AI
(9)
Computer Vision
(8)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(7)
Core Methods
(6)
Natural Language Processing
(5)
Healthcare & Medicine
(4)
Analysis
(4)
Application Areas
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Architectures
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Domain-Specific
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Learning Types Β· Deep Learning
(4)
Keywords
large language model
(4)
image segmentation
(4)
semantic segmentation
(3)
crack detection
(3)
image classification
(2)
projected gradient descent
(2)
social media analysis
(2)
text classification
(2)
adversarial attack
(2)
multi-task learning
(2)
bayesian optimization
(2)
crack recognition
(2)
mental health
(2)
graph neural network
(2)
model compression
(2)
vision-language navigation
(1)
image generation
(1)
contrastive learning
(1)
adversarial robustness
(1)
feature learning
(1)
Papers
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation
AAAI 2026
Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning
CVPR 2026
UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model
AAAI 2026
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
AAAI 2025
Attack-inspired Calibration Loss for Calibrating Crack Recognition
AAAI 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
AAAI 2025
Generalizable Cross-Lingual Cognitive Distortion Detection with Standardized Annotations and Multi-Task Learning
ACL 2025
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
AAAI 2025
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
EMNLP 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
CVPR 2025
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks
IJCAI 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
ACL 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
AAAI 2024
Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
CVPR 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
AAAI 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption
AAAI 2024
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
IJCAI 2023
The Devil is in the Crack Orientation: A New Perspective for Crack Detection
ICCV 2023
Geometry-Aware Guided Loss for Deep Crack Recognition
CVPR 2022
When Active Learning Meets Implicit Semantic Data Augmentation
ECCV 2022
Clustering Uncertain Graphs with Node Attributes
ACML 2018