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Zhiqiang Zhang

46 papers · 2018–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (7)
🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (7) 🤝 Dynamic Duo (20) 🔬 Deep Specialist (11) 🧬 Topic Evolution 🚀 Conference Pioneer Prolific Year (13) The Questioner 📈 Trend Setter 🗃️ Keyword Collector (209) 💎 Century Club (42) 🔥 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)

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