Zhining Liu
16 papers · 2020–2026 · 8 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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🗺️ Taxonomy Completionist (41) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Grand Slam
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(91)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(7)
Deep Learning
(7)
Core AI
(7)
Core Methods
(6)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Architectures
(4)
Optimization & Theory
(4)
Learning Types · Deep Learning
(3)
Mathematics & Optimization
(2)
Optimization
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Keywords
graph neural network
(2)
adaptive fusion
(2)
node classification
(2)
link prediction
(1)
ensemble learning
(1)
attention mechanism
(1)
domain adaptation
(1)
question answering
(1)
test-time adaptation
(1)
machine reading comprehension
(1)
graph representation
(1)
graph structure
(1)
community detection
(1)
network alignment
(1)
class imbalance
(1)
neural architecture
(1)
reinforcement learning from human feedback
(1)
random walk
(1)
gradient descent
(1)
knowledge distillation
(1)
Papers
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
ACL 2026
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
ICML 2025
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
ICLR 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity
EMNLP 2025
SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
ACL 2025
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
NeurIPS 2024
Class-Imbalanced Graph Learning without Class Rebalancing
ICML 2024
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
ICML 2024
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
AAAI 2024
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
AAAI 2024
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
IJCAI 2023
Imbalance-Aware Uplift Modeling for Observational Data
AAAI 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning
AACL 2022
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
NeurIPS 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
AAAI 2020