Weiqing Liu
13 papers · 2018–2026 · 7 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 (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π§¬
Topic Evolution
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(72)
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Artificial Intelligence
(4)
Core AI
(4)
Models
(4)
Optimization & Theory
(4)
Reinforcement Learning
(3)
Application Areas
(3)
Learning Types Β· Deep Learning
(3)
Methods
(3)
Data Science & Analytics
(2)
Core Methods
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
reinforcement learning
(2)
time series forecasting
(2)
diffusion model
(2)
multi-task learning
(2)
recurrent neural network
(2)
conversational ai
(1)
sample efficiency
(1)
representation learning
(1)
convex optimization
(1)
online learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
temporal modeling
(1)
neural machine translation
(1)
multimodal learning
(1)
language modeling
(1)
tensor decomposition
(1)
activity recognition
(1)
off-policy evaluation
(1)
contrastive learning
(1)
Papers
Controllable Financial Market Generation with Diffusion Guided Meta Agent
AAAI 2026
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
ICLR 2025
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
NeurIPS 2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
ICLR 2024
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
ACL 2023
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
AAAI 2022
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
COLING 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
IJCAI 2022
Learning to Reweight with Deep Interactions
AAAI 2021
Temporally Correlated Task Scheduling for Sequence Learning
ICML 2021
Universal Trading for Order Execution with Oracle Policy Distillation
AAAI 2021
Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features
AAAI 2019
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
IJCAI 2018