Ruizhong Qiu
13 papers · 2022–2026 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (33) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🤝 Dynamic Duo (11)
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large language model
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uncertainty estimation
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adaptive fusion
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graph neural network
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domain adaptation
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language modeling
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deep reinforcement learning
(1)
graph generation
(1)
reinforcement learning
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program synthesis
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graph representation
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theoretical analysis
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class imbalance
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time series forecasting
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bilevel optimization
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test-time adaptation
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graph topology
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generalization
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continuous-time diffusion
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query complexity
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Papers
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
Harnessing Consistency for Robust Test-Time LLM Ensemble
EACL 2026
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
ACL 2026
Ask, and it shall be given: On the Turing completeness of prompting
ICLR 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
ICML 2025
How efficient is LLM-generated code? A rigorous & high-standard benchmark
ICLR 2025
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
NeurIPS 2024
Class-Imbalanced Graph Learning without Class Rebalancing
ICML 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NeurIPS 2024
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
ICML 2024
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
ICML 2024
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems
NeurIPS 2022