Ruizhong Qiu
13 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🗺️ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6)
🌉
Interdisciplinary Bridge
🤝
Dynamic Duo
(10)
⚡
Prolific Year
(5)
❓
The Questioner
💎
Century Club
(10)
Conferences
ICML (4)
NIPS (3)
ACL (2)
ICLR (2)
EACL (1)
ICCV (1)
Top co-authors
Keywords
large language model
(3)
graph neural network
(2)
uncertainty estimation
(2)
deep reinforcement learning
(1)
test-time adaptation
(1)
graph generation
(1)
domain adaptation
(1)
time series forecasting
(1)
continuous-time diffusion
(1)
multivariate time series
(1)
continuous time
(1)
backdoor attack
(1)
adversarial attack
(1)
generative model
(1)
traveling salesman problem
(1)
diffusion model
(1)
vision-language model
(1)
model ensemble
(1)
bi-level optimization
(1)
graph representation
(1)
Papers
Harnessing Consistency for Robust Test-Time LLM Ensemble
EACL 2026
Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
ACL 2026
AdaFuse: Adaptive Ensemble Decoding for Large Language Models
ACL 2026
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
ICCV 2025
Ask, and it shall be given: On the Turing completeness of prompting
ICLR 2025
How efficient is LLM-generated code? A rigorous & high-standard benchmark
ICLR 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
ICML 2025
Class-Imbalanced Graph Learning without Class Rebalancing
ICML 2024
Discrete-state Continuous-time Diffusion for Graph Generation
NIPS 2024
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
NIPS 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
NIPS 2022