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Yu Chen

71 papers · 2009–2026 · 20 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (20) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (16)
🏃 Academic Marathon (16) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (106) 🧬 Topic Evolution 👑 Triple Crown 🏆 Grand Slam 🚀 Conference Pioneer 🔥 Unstoppable (10) 🗃️ Keyword Collector (286) 📈 Trend Setter 💎 Century Club (68) Prolific Year (15)

Conferences

CVPR (9) ICML (9) AAAI (8) ICLR (6) UAI (5) NIPS (5) IJCAI (5) ACL (5) NAACL (4) ICCV (3) EMNLP (3) ECCV (1) EACL (1) IJCNLP (1) INTERSPEECH (1) MICCAI (1) AISTATS (1) NSDI (1) OSDI (1) SEMEVAL (1)

Research topics

Papers

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure ACL 2026 Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations AAAI 2026 AV-SSAN: Audio-Visual Selective DOA Estimation Through Explicit Multi-Band Semantic-Spatial Alignment AAAI 2026 A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing ICML 2025 A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle ICML 2025 A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025 Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course AAAI 2025 Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation MICCAI 2025 uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs ICLR 2025 Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025 Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025 Fork in the Road: Reflections and Optimizations for Cold Start Latency in Production Serverless Systems OSDI 2025 Pseudo-Label Reconstruction for Partial Multi-Label Learning IJCAI 2025 Finite-Time Analysis of Discrete-Time Stochastic Interpolants ICML 2025 Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 2024 DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NIPS 2024 Variational Schrödinger Diffusion Models ICML 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024 Multi-Constellation-Inspired Single-Shot Global LiDAR Localization AAAI 2024 Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024 LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024 PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024 GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation NIPS 2024 MeLLoC: Lossless Compression with High-order Mechanism Learning NIPS 2024 Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline CVPR 2024 Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering CVPR 2024 Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes EACL 2024 YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles Prediction SEMEVAL 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles Prediction ACL 2023 DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields CVPR 2023 MMVC: Learned Multi-Mode Video Compression With Block-Based Prediction Mode Selection and Density-Adaptive Entropy Coding CVPR 2023 Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023 Joint Semantic and Strategy Matching for Persuasive Dialogue EMNLP 2023 DReg-NeRF: Deep Registration for Neural Radiance Fields ICCV 2023 Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 2023 Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation ICML 2023 NetPanel: Traffic Measurement of Exchange Online Service NSDI 2023 Detection of Short-Term Temporal Dependencies in Hawkes Processes with Heterogeneous Background Dynamics UAI 2023 Information theoretic clustering via divergence maximization among clusters UAI 2023 Inference and sampling of point processes from diffusion excursions UAI 2023 Estimating transfer entropy under long ranged dependencies UAI 2022 Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022 Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection ECCV 2022 The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network AAAI 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021 Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021 Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021 Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach CVPR 2021 Retrieval-Augmented Generation for Code Summarization via Hybrid GNN ICLR 2021 Deep Learning on Graphs for Natural Language Processing NAACL 2021 Energy-based Unknown Intent Detection with Data Manipulation ACL 2021 Energy-based Unknown Intent Detection with Data Manipulation IJCNLP 2021 Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning INTERSPEECH 2021 Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NIPS 2020 GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension IJCAI 2020 Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation ICLR 2020 On Efficient Constructions of Checkpoints ICML 2020 Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases NAACL 2019 Network Formation under Random Attack and Probabilistic Spread IJCAI 2019 $β^3$-IRT: A New Item Response Model and its Applications AISTATS 2019 Machine Translation from an Intercomprehension Perspective ACL 2019 Fisher Efficient Inference of Intractable Models NIPS 2019 Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos AAAI 2019 FSRNet: End-to-End Learning Face Super-Resolution With Facial Priors CVPR 2018 Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation ICCV 2017 MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation IJCAI 2017 ADL™: A Topic Model for Discovery of Activities of Daily Living in a Smart Home IJCAI 2016 Intersecting Multilingual Data for Faster and Better Statistical Translations NAACL 2009