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Hong Cheng

36 papers · 2014–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (11)
🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🏆 Grand Slam 🏆 Keyword Champion The Questioner (3) 🔥 Unstoppable (6) 💎 Century Club (35) 🚀 Conference Pioneer 🗃️ Keyword Collector (159) Prolific Year (9)

Conferences

ACL (6) NIPS (6) CVPR (4) IJCAI (4) ECCV (3) ICML (3) NAACL (3) EMNLP (2) AAAI (1) COLING (1) ICCV (1) ICLR (1) INTERSPEECH (1)

Papers

Understanding the Behaviors of Environment-aware Information Retrieval ACL 2026 Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization ACL 2025 When Do LLMs Help With Node Classification? A Comprehensive Analysis ICML 2025 DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation NAACL 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025 Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis ICML 2025 MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification CVPR 2025 Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data NAACL 2025 MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval EMNLP 2025 Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025 All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract) IJCAI 2024 LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement EMNLP 2024 A Survey of Graph Meets Large Language Model: Progress and Future Directions IJCAI 2024 Can Graph Learning Improve Planning in LLM-based Agents? NIPS 2024 ProG: A Graph Prompt Learning Benchmark NIPS 2024 FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection ECCV 2024 Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics ACL 2024 PACAR: Automated Fact-Checking with Planning and Customized Action Reasoning Using Large Language Models COLING 2024 Protein Multimer Structure Prediction via Prompt Learning ICLR 2024 Emotional Voice Conversion with Semi-Supervised Generative Modeling INTERSPEECH 2023 Functional Distributional Semantics at Scale ACL 2023 On Controlling Fallback Responses for Grounded Dialogue Generation ACL 2022 Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations ACL 2022 Partner Personas Generation for Dialogue Response Generation NAACL 2022 Deconvolutional Networks on Graph Data NIPS 2021 Probabilistic Model Distillation for Semantic Correspondence CVPR 2021 Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection ICCV 2021 Mutual Graph Learning for Camouflaged Object Detection CVPR 2021 Cascade Graph Neural Networks for RGB-D Salient Object Detection ECCV 2020 Dirichlet Graph Variational Autoencoder NIPS 2020 Hybrid Graph Neural Networks for Crowd Counting AAAI 2020 Contour Knowledge Transfer for Salient Object Detection ECCV 2018 Object-Aware Dense Semantic Correspondence CVPR 2017 Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds NIPS 2017 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm IJCAI 2015 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NIPS 2014