Yu Chen
71 papers · 2009–2026 · 20 conferences · across top CS/AI conferences
Achievements
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🌍 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)
Top co-authors
Research topics
Keywords
graph neural network
(4)
neural network
(3)
point cloud
(3)
3d reconstruction
(3)
hierarchical bilstm
(2)
bundle adjustment
(2)
video compression
(2)
view synthesis
(2)
conditional random field
(2)
adversarial robustness
(2)
generative adversarial network
(2)
pose estimation
(2)
attribute extraction
(2)
large language model
(2)
neural radiance field
(2)
collaborative filtering
(2)
rhetorical roles prediction
(2)
point process
(2)
camera pose
(2)
neural network security
(1)
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