Chuan Qin
15 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Academic Marathon (8) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (29)
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(29)
π§
Keyword Pioneer
π§¬
Topic Evolution
ποΈ
Keyword Collector
(63)
π
Century Club
(11)
Conferences
IJCAI (4)
NIPS (4)
ACL (3)
AAAI (2)
ICCV (2)
Top co-authors
Research topics
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
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 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
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models
AAAI 2026
Leveraging Spatial Invariance to Boost Adversarial Transferability
ICCV 2025
Gaze-Language Alignment for Zero-Shot Prediction of Visual Search Targets from Human Gaze Scanpaths
ICCV 2025
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NIPS 2024
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
IJCAI 2024
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness
IJCAI 2021
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective
NIPS 2021
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation
NIPS 2021
GreedyFool: Distortion-Aware Sparse Adversarial Attack
NIPS 2020
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback
AAAI 2020
App Download Forecasting: An Evolutionary Hierarchical Competition Approach
IJCAI 2017