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Chong Chen

25 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (57) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (14) ❓ The Questioner ⚑ Prolific Year (8) πŸ—ƒοΈ Keyword Collector (124) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (24)

Conferences

EMNLP (5) AAAI (4) ICCV (3) ICML (3) NIPS (3) ACL (2) IJCAI (2) CVPR (1) ECCV (1) NAACL (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