Chong Chen
25 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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Conferences
EMNLP (5)
AAAI (4)
ICCV (3)
ICML (3)
NIPS (3)
ACL (2)
IJCAI (2)
CVPR (1)
ECCV (1)
NAACL (1)
Top co-authors
Keywords
large language model
(4)
semi-supervised learning
(4)
graph neural network
(4)
cross-modal retrieval
(3)
domain adaptation
(3)
unsupervised learning
(3)
recommendation system
(3)
graph representation
(2)
multi-agent system
(2)
retrieval-augmented generation
(2)
collaborative filtering
(2)
contrastive learning
(2)
representation learning
(2)
single-cell analysis
(2)
graph classification
(2)
image retrieval
(1)
label propagation
(1)
temporal dynamics
(1)
metric learning
(1)
causal inference
(1)
Papers
SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing
ACL 2026
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
EMNLP 2025
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
AAAI 2025
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
AAAI 2025
scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation
ACL 2025
Can LLMs be Good Graph Judge for Knowledge Graph Construction?
EMNLP 2025
LEAF: Large Language Diffusion Model for Time Series Forecasting
EMNLP 2025
Enhancing Recommendation Explanations through User-Centric Refinement
EMNLP 2025
Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search
ICML 2025
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
ICML 2024
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval
CVPR 2024
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling
NIPS 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
EMNLP 2024
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data
NIPS 2024
DEMO: A Statistical Perspective for Efficient Image-Text Matching
NAACL 2024
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval
ICCV 2023
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval
NIPS 2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning
ICCV 2023
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
ICML 2023
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
IJCAI 2022
On Mitigating Hard Clusters for Face Clustering
ECCV 2022
Graph Heterogeneous Multi-Relational Recommendation
AAAI 2021
CIMON: Towards High-quality Hash Codes
IJCAI 2021
Graph Contrastive Clustering
ICCV 2021
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
AAAI 2020