Qiao Liu
18 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (8) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (7)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(7)
💎
Century Club
(15)
🗃️
Keyword Collector
(85)
⚡
Prolific Year
(6)
Conferences
AAAI (4)
ACL (4)
COLING (2)
IJCAI (2)
NIPS (2)
ACML (1)
EACL (1)
EMNLP (1)
INTERSPEECH (1)
Top co-authors
Research topics
Keywords
reinforcement learning
(3)
named entity recognition
(2)
temporal knowledge graph
(2)
session-based recommendation
(2)
speech separation
(1)
multi-task learning
(1)
adversarial learning
(1)
ensemble learning
(1)
molecular optimization
(1)
policy gradient
(1)
few-shot learning
(1)
feature selection
(1)
uncertainty quantification
(1)
attention mechanism
(1)
information extraction
(1)
relation extraction
(1)
feature learning
(1)
unsupervised domain adaptation
(1)
event argument extraction
(1)
link prediction
(1)
Papers
Negative-Aware Diffusion Process for Temporal Knowledge Graph Extrapolation
EACL 2026
Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation
AAAI 2026
Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
ACL 2026
GEMS: Generation-Based Event Argument Extraction via Multi-perspective Prompts and Ontology Steering
ACL 2025
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
AAAI 2025
SCE: Semantic Consistency Enhanced Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning
EMNLP 2025
DiFiNet: Boundary-Aware Semantic Differentiation and Filtration Network for Nested Named Entity Recognition
ACL 2024
Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
AAAI 2024
Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting
ACML 2024
Synergetic Interaction Network with Cross-task Attention for Joint Relational Triple Extraction
COLING 2024
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation
IJCAI 2024
Predicting the Unpredictable: Uncertainty-Aware Reasoning over Temporal Knowledge Graphs via Diffusion Process
ACL 2024
Boost Neural Networks by Checkpoints
NIPS 2021
Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation
IJCAI 2021
Improved Speech Separation with Time-and-Frequency Cross-Domain Feature Selection
INTERSPEECH 2021
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
NIPS 2020
Multi-Task Driven Feature Models for Thermal Infrared Tracking
AAAI 2020
Aspect and Sentiment Aware Abstractive Review Summarization
COLING 2018