Ziqi Liu
24 papers · 2013–2026 · 11 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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πΊοΈ Taxonomy Completionist (71) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
π€
Dynamic Duo
(10)
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Renaissance Researcher
(8)
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(127)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(12)
Deep Learning
(10)
Core AI
(10)
Learning Types Β· Machine Learning
(10)
Architectures
(8)
Core Methods
(8)
Natural Language Processing
(7)
Applications Β· Natural Language Processing
(6)
Learning Types Β· Deep Learning
(5)
Data Science & Analytics
(4)
Application Areas
(4)
Learning Paradigms
(4)
Applications Β· Data Science & Analytics
(3)
Optimization & Theory
(3)
Keywords
graph neural network
(6)
retrieval-augmented generation
(3)
mixture of expert
(3)
large language model
(3)
node classification
(3)
hazard regression
(2)
representation learning
(2)
multi-modal knowledge graph completion
(2)
graph attention network
(2)
federated learning
(2)
hallucination mitigation
(2)
recommender system
(2)
knowledge graph
(2)
multi-agent system
(2)
multimodal learning
(2)
stochastic optimization
(2)
time series forecasting
(2)
variance reduction
(2)
sarcasm detection
(2)
transductive learning
(1)
Papers
ChartR: Evaluating Reasoning Accuracy and Robustness in Chart Question Answering
CVPR 2026
RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection
ACL 2026
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection
AAAI 2026
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
JMLR 2025
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
AAAI 2025
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
AISTATS 2025
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
ICLR 2025
OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images
ICCV 2025
TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs
AAAI 2025
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
AAAI 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
Knowledge-augmented Financial Market Analysis and Report Generation
EMNLP 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
A Corpus for Understanding and Generating Moral Stories
NAACL 2022
MERIT: Learning Multi-level Representations on Temporal Graphs
IJCAI 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification
IJCAI 2022
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing
AAAI 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data
NeurIPS 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
Bandit Samplers for Training Graph Neural Networks
NeurIPS 2020
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
AAAI 2019
Attributing Hacks
AISTATS 2017
A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation
ACL 2013