Chuan Qin
16 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (40)
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Topic Evolution
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Artificial Intelligence
(9)
Machine Learning
(9)
Deep Learning
(8)
Core AI · Artificial Intelligence
(8)
Learning Types · Deep Learning
(5)
Learning Types · Machine Learning
(5)
Core Methods
(4)
Computer Vision
(3)
Data Science & Analytics
(3)
Models
(3)
Analysis
(2)
Architectures
(2)
Core AI · Computer Vision
(2)
Learning Paradigms
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Methods
(2)
Keywords
contrastive learning
(3)
neural network
(2)
generalized category discovery
(2)
adversarial attack
(2)
graph neural network
(2)
matrix factorization
(1)
bayesian inference
(1)
reinforcement learning
(1)
temporal encoding
(1)
vision-language alignment
(1)
visual search
(1)
semantic alignment
(1)
time series
(1)
canonical correlation analysis
(1)
computer vision
(1)
implicit feedback
(1)
bayesian approach
(1)
topic modeling
(1)
collaborative ranking
(1)
time series forecasting
(1)
Papers
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
AAAI 2026
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 2026
Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves
CVPR 2026
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
ACL 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
ACL 2026
Gaze-Language Alignment for Zero-Shot Prediction of Visual Search Targets from Human Gaze Scanpaths
ICCV 2025
Leveraging Spatial Invariance to Boost Adversarial Transferability
ICCV 2025
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
IJCAI 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NeurIPS 2024
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
NeurIPS 2021
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
IJCAI 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
NeurIPS 2021
GreedyFool: Distortion-Aware Sparse Adversarial Attack
NeurIPS 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
AAAI 2020
App Download Forecasting: An Evolutionary Hierarchical Competition Approach
IJCAI 2017