Pengcheng Wu
12 papers · 2015–2025 · 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30)
🧭
Keyword Pioneer
💎
Century Club · Bronze
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Prolific Year · Productive
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Keyword Collector
(63)
Venues
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Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Deep Learning
(6)
Application Areas
(6)
Core AI
(5)
Natural Language Processing
(4)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types
(2)
Models
(2)
Optimization & Theory · Machine Learning
(2)
Optimization & Theory · Deep Learning
(2)
Data Science & Analytics
(1)
Keywords
federated learning
(2)
block dropout
(2)
model compression
(2)
communication efficiency
(2)
time complexity
(1)
cross-modal learning
(1)
convergence analysis
(1)
vector quantization
(1)
multimodal learning
(1)
time series forecasting
(1)
mutual information
(1)
deep neural network
(1)
multivariate time series
(1)
generative model
(1)
spiking neural network
(1)
test-time adaptation
(1)
influence function
(1)
vision-language model
(1)
noise injection
(1)
chain-of-thought reasoning
(1)
Papers
Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
EMNLP 2025
CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning
COLING 2025
CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation
COLING 2025
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
ICML 2025
HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting
AAAI 2025
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
ICML 2025
Self-Bootstrapping for Versatile Test-Time Adaptation
ICML 2025
Test-Time Model Adaptation with Only Forward Passes
ICML 2024
Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
AAAI 2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
IJCAI 2023
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks
AAAI 2021
Online Learning to Rank for Content-Based Image Retrieval
IJCAI 2015