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← Authors

Ziqi Liu

23 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🤝 Dynamic Duo (10) 🧬 Topic Evolution 🚀 Conference Pioneer 🗃️ Keyword Collector (113) ⚡ Prolific Year (8) 💎 Century Club (21)

Conferences

AAAI (7) ACL (3) IJCAI (3) AISTATS (2) EMNLP (2) NIPS (2) ICCV (1) ICLR (1) JMLR (1) NAACL (1)

Top co-authors

Zhiqiang Zhang (10) Jun Zhou (9) Binbin Hu (5) Zhengwei Wu (4) Chaochao Chen (4) Jinjie GU (3) Wen Zhang (3) Huajun Chen (3) Yajing Xu (2) Qinghua Zheng (2)

Research topics

Differential Privacy (1)

Keywords

graph neural network (6) node classification (3) retrieval-augmented generation (3) large language model (3) hazard regression (2) knowledge graph (2) sarcasm detection (2) federated learning (2) graph attention network (2) recommender system (2) representation learning (2) multi-agent system (2) stochastic optimization (2) variance reduction (2) hallucination mitigation (2) transductive learning (1) sentiment analysis (1) contrastive learning (1) variational inference (1) online learning (1)

Papers

SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection AAAI 2026 RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection ACL 2026 FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts AISTATS 2025 Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts AAAI 2025 TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025 Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering ACL 2025 OpenRSD: Towards Open-prompts for Object Detection in Remote Sensing Images ICCV 2025 Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning ICLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024 Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024 Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024 MERIT: Learning Multi-level Representations on Temporal Graphs IJCAI 2022 A Corpus for Understanding and Generating Moral Stories NAACL 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NIPS 2021 Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing AAAI 2021 User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Bandit Samplers for Training Graph Neural Networks NIPS 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