← Authors

Yu Chen

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

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (20) 🏃 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) NAACL (4) ACL (4) ICCV (3) EMNLP (3) ECCV (1) EACL (1) IJCNLP (1) INTERSPEECH (1) MICCAI (1) AISTATS (1) NSDI (1) OSDI (1) SEMEVAL (1)

Top co-authors

Longbo Huang (7) Qifan Wang (5) Yuriy Nevmyvaka (5) Lingfei Wu (5) Anderson Schneider (5) Gim Hee Lee (4) Mohammed J. Zaki (3) Wei Deng (3) Pihe Hu (3) Hun-Seok Kim (3)

Research topics

Probability (1)

Keywords

graph neural network (4) neural network (3) point cloud (3) 3d reconstruction (3) video compression (2) bundle adjustment (2) camera pose (2) view synthesis (2) conditional random field (2) adversarial robustness (2) generative adversarial network (2) hierarchical bilstm (2) pose estimation (2) attribute extraction (2) neural radiance field (2) collaborative filtering (2) rhetorical roles prediction (2) point process (2) neural network security (1) model security (1)

Papers

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
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs ICLR 2025
A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft AAAI 2025
Pseudo-Label Reconstruction for Partial Multi-Label Learning IJCAI 2025
Fork in the Road: Reflections and Optimizations for Cold Start Latency in Production Serverless Systems OSDI 2025
Dual Knowledge-Aware Guidance for Source-Free Domain Adaptive Fundus Image Segmentation MICCAI 2025
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference CVPR 2025
Scaling and Taming Adversarial Training with Synthetic Data ICCV 2025
Developing Chatbots for Sustainability: Experiential Learning in an Undergraduate Business Course AAAI 2025
Finite-Time Analysis of Discrete-Time Stochastic Interpolants ICML 2025
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes EACL 2024
Variational Schrödinger Diffusion Models ICML 2024
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus NIPS 2024
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation ICML 2024
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods ICLR 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback ICLR 2024
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization AAAI 2024
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models NAACL 2024
Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation ICML 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
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs ICLR 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
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation ICML 2023
NetPanel: Traffic Measurement of Exchange Online Service NSDI 2023
YNU-HPCC at SemEval-2023 Task 6: LEGAL-BERT Based Hierarchical BiLSTM with CRF for Rhetorical Roles Prediction SEMEVAL 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
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation ICML 2022
Estimating transfer entropy under long ranged dependencies UAI 2022
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection ECCV 2022
Generic Perceptual Loss for Modeling Structured Output Dependencies CVPR 2021
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network AAAI 2021
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN ICLR 2021
Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach CVPR 2021
Deep Learning in Latent Space for Video Prediction and Compression CVPR 2021
Energy-based Unknown Intent Detection with Data Manipulation IJCNLP 2021
Polyphone Disambiguation in Mandarin Chinese with Semi-Supervised Learning INTERSPEECH 2021
Energy-based Unknown Intent Detection with Data Manipulation ACL 2021
Deep Learning on Graphs for Natural Language Processing NAACL 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021
On Efficient Constructions of Checkpoints ICML 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
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings NIPS 2020
$β^3$-IRT: A New Item Response Model and its Applications AISTATS 2019
Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos AAAI 2019
Network Formation under Random Attack and Probabilistic Spread IJCAI 2019
Machine Translation from an Intercomprehension Perspective ACL 2019
Fisher Efficient Inference of Intractable Models NIPS 2019
Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases NAACL 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