Jianqiang Li
22 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(14)
🧬
Topic Evolution
🗃️
Keyword Collector
(117)
💎
Century Club
(20)
🔥
Unstoppable
(5)
⚡
Prolific Year
(10)
Conferences
AAAI (10)
CVPR (3)
ACL (2)
ICCV (2)
IJCAI (2)
ACML (1)
ECCV (1)
EMNLP (1)
Top co-authors
Research topics
Keywords
image segmentation
(4)
large language model
(4)
semantic segmentation
(3)
crack detection
(3)
crack recognition
(2)
multi-task learning
(2)
graph neural network
(2)
adversarial attack
(2)
mental health
(2)
image classification
(2)
bayesian optimization
(2)
model compression
(2)
social media analysis
(2)
text classification
(2)
projected gradient descent
(2)
domain adaptation
(1)
vision-language navigation
(1)
reinforcement learning
(1)
image generation
(1)
adversarial robustness
(1)
Papers
CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation
AAAI 2026
UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model
AAAI 2026
STLSP: Integrating Structure and Text with Large Language Models for Link Sign Prediction of Networks
IJCAI 2025
MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media
EMNLP 2025
TRNAS: A Training-Free Robust Neural Architecture Search
ICCV 2025
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
AAAI 2025
Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification
AAAI 2025
Attack-inspired Calibration Loss for Calibrating Crack Recognition
AAAI 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
Generalizable Cross-Lingual Cognitive Distortion Detection with Standardized Annotations and Multi-Task Learning
ACL 2025
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
AAAI 2025
ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect
CVPR 2025
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation
AAAI 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption
AAAI 2024
Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks
AAAI 2024
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
ACL 2024
Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation
CVPR 2024
The Devil is in the Crack Orientation: A New Perspective for Crack Detection
ICCV 2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
IJCAI 2023
When Active Learning Meets Implicit Semantic Data Augmentation
ECCV 2022
Geometry-Aware Guided Loss for Deep Crack Recognition
CVPR 2022
Clustering Uncertain Graphs with Node Attributes
ACML 2018