Wen-Chih Peng
16 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
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contrastive learning
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sports analytics
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reinforcement learning
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self-supervised learning
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game ai
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gradient boosting
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sequence prediction
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language model
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stroke forecasting
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multi-agent system
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neural network
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text summarization
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text generation
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trajectory prediction
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response generation
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causal discovery
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social media analysis
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granger causality
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data augmentation
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sentiment analysis
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Papers
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
AAAI 2025
Extending Automatic Machine Translation Evaluation to Book-Length Documents
EMNLP 2025
MedPlan: A Two-Stage RAG-Based System for Personalized Medical Plan Generation
ACL 2025
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
IJCAI 2024
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
AAAI 2024
Root Cause Analysis in Microservice Using Neural Granger Causal Discovery
AAAI 2024
The CoachAI Badminton Environment: A Novel Reinforcement Learning Environment with Realistic Opponents (Student Abstract)
AAAI 2024
The CoachAI Badminton Environment: Bridging the Gap between a Reinforcement Learning Environment and Real-World Badminton Games
AAAI 2024
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
EACL 2024
Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton
AAAI 2023
RSVP: Customer Intent Detection via Agent Response Contrastive and Generative Pre-Training
EMNLP 2023
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)
AAAI 2023
ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton
AAAI 2022
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media
ACL 2022
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization
AAAI 2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
AAAI 2020