Zhining Liu
17 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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๐ Renaissance Researcher (8) ๐ Interdisciplinary Bridge ๐ Conference Polyglot (9) ๐ Academic Marathon (5) ๐บ๏ธ Taxonomy Completionist (34)
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Conference Polyglot
(9)
๐
Academic Marathon
(5)
๐
Grand Slam
๐
Century Club
(15)
๐๏ธ
Keyword Collector
(64)
โก
Prolific Year
(5)
Conferences
AAAI (4)
ACL (3)
ICML (3)
NIPS (2)
AACL (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
symbolic knowledge
(2)
expert rule
(2)
knowledge graph
(2)
neural architecture
(2)
symbolic reasoning
(1)
attention mechanism
(1)
link prediction
(1)
machine reading comprehension
(1)
ensemble learning
(1)
graph representation
(1)
community detection
(1)
network alignment
(1)
question answering
(1)
clinical diagnosis
(1)
random walk
(1)
reinforcement learning from human feedback
(1)
gradient descent
(1)
time series forecasting
(1)
multivariate time series
(1)
knowledge distillation
(1)
Papers
Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
ACL 2026
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
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
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
ICLR 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
ICML 2025
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
AAAI 2024
Class-Imbalanced Graph Learning without Class Rebalancing
ICML 2024
Graph Mixup on Approximate GromovโWasserstein Geodesics
ICML 2024
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
NIPS 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
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning
IJCNLP 2022
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler
NIPS 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk
AAAI 2020