Mengying Zhu
16 papers · 2020–2026 · 3 venues · across top CS/AI venues
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normalizing flow
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reinforcement learning
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online learning
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text generation
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Papers
DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning
AAAI 2026
DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
AAAI 2026
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
AAAI 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains
AAAI 2026
General Incomplete Time Series Analysis via Patch Dropping Without Imputation
IJCAI 2025
TriSPrompt: A Hierarchical Soft Prompt Model for Multimodal Rumor Detection with Incomplete Modalities
EMNLP 2025
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
AAAI 2024
Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward
AAAI 2024
Deep Hashing-based Dynamic Stock Correlation Estimation via Normalizing Flow
IJCAI 2023
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective
AAAI 2023
Spotlight News Driven Quantitative Trading Based on Trajectory Optimization
IJCAI 2023
A Smart Trader for Portfolio Management based on Normalizing Flows
IJCAI 2022
HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation
IJCAI 2022
An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets
IJCAI 2021
Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit
IJCAI 2020