Yihang Wang
8 papers · 2024–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core AI
(5)
Application Areas
(4)
Deep Learning
(3)
Natural Language Processing
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Methods
(1)
Models
(1)
Keywords
large language model
(2)
direct preference optimization
(1)
toxicity reduction
(1)
efficient inference
(1)
pretraining
(1)
time series forecasting
(1)
multivariate time series
(1)
temporal dependency
(1)
frequency domain
(1)
lightweight model
(1)
channel correlation
(1)
generative retrieval
(1)
cosine similarity
(1)
zero-shot setting
(1)
in-context learning
(1)
context compression
(1)
temporal resolution
(1)
question-answer generation
(1)
multi-scale transformer
(1)
information bottleneck
(1)
Papers
Detoxification for LLM: From Dataset Itself
ACL 2026
Distilling Large Embeddings via Hyperspherical Householder Quantization
ACL 2026
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
ICLR 2025
LightGTS: A Lightweight General Time Series Forecasting Model
ICML 2025
MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation
COLING 2025
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
EMNLP 2025
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
ICML 2025
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
ICLR 2024