Zhiqiang Zhang
46 papers · 2018–2026 · 14 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (7)
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Interdisciplinary Bridge
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Keyword Pioneer
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Academic Marathon
(7)
🤝
Dynamic Duo
(20)
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Deep Specialist
(11)
🧬
Topic Evolution
🚀
Conference Pioneer
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Prolific Year
(13)
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The Questioner
📈
Trend Setter
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Keyword Collector
(209)
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Century Club
(42)
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Unstoppable
(8)
Conferences
AAAI (14)
ACL (6)
COLING (5)
EMNLP (5)
IJCAI (3)
NIPS (3)
CVPR (2)
ICML (2)
EACL (1)
IJCNLP (1)
JMLR (1)
NAACL (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
large language model
(15)
graph neural network
(10)
knowledge graph
(5)
question answering
(5)
text generation
(5)
retrieval-augmented generation
(4)
contrastive learning
(3)
graph attention network
(2)
convolutional neural network
(2)
heterogeneous graph
(2)
stochastic optimization
(2)
semi-supervised learning
(2)
link prediction
(2)
multimodal learning
(2)
variance reduction
(2)
chain-of-thought reasoning
(2)
retrieval augmented generation
(2)
knowledge transfer
(2)
reinforcement learning
(2)
semantic parsing
(2)
Papers
Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards
ACL 2026
RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library
EACL 2026
Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design
ACL 2026
LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning
AAAI 2026
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
JMLR 2025
Rule-KBQA: Rule-Guided Reasoning for Complex Knowledge Base Question Answering with Large Language Models
COLING 2025
A Collaborative Reasoning Framework Powered by Reinforcement Learning and Large Language Models for Complex Questions Answering over Knowledge Graph
COLING 2025
Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
ACL 2025
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
AAAI 2025
K-ON: Stacking Knowledge on the Head Layer of Large Language Model
AAAI 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
AAAI 2025
Explore What LLM Does Not Know in Complex Question Answering
AAAI 2025
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis
AAAI 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models
ICML 2025
Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
ACL 2025
BOSE: A Systematic Evaluation Method Optimized for Base Models
ACL 2025
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
NAACL 2025
Neighbor Similarity and Multimodal Alignment based Product Recommendation Study
UAI 2024
MKGL: Mastery of a Three-Word Language
NIPS 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
Efficient Knowledge Infusion via KG-LLM Alignment
ACL 2024
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models
COLING 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
COLING 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
COLING 2024
Knowledge-augmented Financial Market Analysis and Report Generation
EMNLP 2024
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
EMNLP 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
EMNLP 2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
ICML 2024
Interactive Image Manipulation With Complex Text Instructions
WACV 2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks
CVPR 2023
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks
AAAI 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations
AAAI 2022
MERIT: Learning Multi-level Representations on Temporal Graphs
IJCAI 2022
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure
AAAI 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
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
Selection and Generation: Learning towards Multi-Product Advertisement Post Generation
EMNLP 2020
Progressive Feature Polishing Network for Salient Object Detection
AAAI 2020
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
IJCAI 2020
Bandit Samplers for Training Graph Neural Networks
NIPS 2020
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
IJCNLP 2019
Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation
EMNLP 2019
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism
AAAI 2019
Cascaded Pyramid Network for Multi-Person Pose Estimation
CVPR 2018