Yi Chen
39 papers · 2006–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (5) π Academic Marathon (19) π§ Keyword Pioneer π Conference Polyglot (16) π Renaissance Researcher (11)
π
Academic Marathon
(19)
π§
Keyword Pioneer
π
Cross-Pollinator
(5)
π
Grand Slam
π₯
Unstoppable
(5)
π
Century Club
(33)
β‘
Prolific Year
(12)
ποΈ
Keyword Collector
(138)
Conferences
AAAI (10)
ACL (6)
EMNLP (3)
ICLR (3)
AISTATS (2)
ICML (2)
IJCAI (2)
NAACL (2)
NIPS (2)
AACL (1)
COLING (1)
CVPR (1)
ICCV (1)
IJCNLP (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
large language model
(4)
zero-shot learning
(4)
domain adaptation
(2)
entity typing
(2)
spiking neural network
(2)
fine-grained classification
(2)
unsupervised learning
(2)
prompt engineering
(2)
catastrophic forgetting
(2)
image segmentation
(1)
point cloud registration
(1)
neuromorphic computing
(1)
model calibration
(1)
preference learning
(1)
reinforcement learning
(1)
transfer learning
(1)
knowledge distillation
(1)
talking face generation
(1)
multi-source learning
(1)
attention mechanism
(1)
Papers
CD-DPE: Dual-Prompt Expert Network Based on Convolutional Dictionary Feature Decoupling for Multi-Contrast MRI Super-Resolution
AAAI 2026
ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks
AAAI 2026
WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models
ACL 2026
Not Just Whatβs There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-Tuning
AAAI 2026
Zero-shot Large Language Models for Automatic Readability Assessment
ACL 2026
VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding
AAAI 2026
Supervised Optimism Correction: Be Confident When LLMs Are Sure
ACL 2025
PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
ICLR 2025
Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL
ICML 2025
Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training
AAAI 2025
AoP-SAM: Automation of Prompts for Efficient Segmentation
AAAI 2025
Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information
AAAI 2025
Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding
AAAI 2025
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
AISTATS 2025
Sonic: Shifting Focus to Global Audio Perception in Portrait Animation
CVPR 2025
Metric Learning in an RKHS
UAI 2025
Moto: Latent Motion Token as the Bridging Language for Learning Robot Manipulation from Videos
ICCV 2025
Decoupling Layout from Glyph in Online Chinese Handwriting Generation
ICLR 2025
Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
NAACL 2024
Learning Populations of Preferences via Pairwise Comparison Queries
AISTATS 2024
Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models
NAACL 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
NIPS 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
ICML 2024
MapLE: Matching Molecular Analogues Promptly with Low Computational Resources by Multi-Metrics Evaluation (Student Abstract)
AAAI 2024
SKD-NER: Continual Named Entity Recognition via Span-based Knowledge Distillation with Reinforcement Learning
EMNLP 2023
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study
AACL 2023
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models
ACL 2023
Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study
IJCNLP 2023
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion
IJCAI 2022
DICP: Doppler Iterative Closest Point Algorithm
RSS 2022
MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation
EMNLP 2022
Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing
ACL 2022
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information
AAAI 2021
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing
EMNLP 2021
ACCELERATING NONCONVEX LEARNING VIA REPLICA EXCHANGE LANGEVIN DIFFUSION
ICLR 2019
Contrastive Learning from Pairwise Measurements
NIPS 2018
Character-Based Parsing with Convolutional Neural Network
IJCAI 2015
Reranking Answers for Definitional QA Using Language Modeling
COLING 2006
Reranking Answers for Definitional QA Using Language Modeling
ACL 2006