Hongtu Zhu
23 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (6)
🐝
Cross-Pollinator
(6)
🌉
Interdisciplinary Bridge
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(3)
🧬
Topic Evolution
👥
Mega-Team
(25)
🏆
Grand Slam
🔥
Unstoppable
(5)
🚀
Conference Pioneer
💎
Century Club
(20)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(103)
Conferences
AAAI (4)
ICML (4)
JMLR (4)
NIPS (4)
ACL (2)
EMNLP (2)
EACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
information geometry
(3)
nearest neighbor
(2)
dimensionality reduction
(2)
treatment effect
(2)
influence measure
(2)
hypothesis testing
(2)
mutual information
(2)
conditional mutual information
(2)
high-dimensional datum
(2)
functional datum
(2)
a/b testing
(2)
multimodal learning
(2)
adversarial robustness
(2)
medical vision language model
(2)
type i error
(2)
dimension reduction
(2)
conditional independence
(2)
minimax optimization
(1)
model merging
(1)
medical imaging
(1)
Papers
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models
EACL 2026
R1-RE: Cross-Domain Relation Extraction with RLVR
ACL 2026
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution
ACL 2026
Enhancing Prediction Performance through Influence Measure
ICLR 2025
Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments
ICML 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
ICML 2025
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts
EMNLP 2025
Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space
JMLR 2025
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
Combining Experimental and Historical Data for Policy Evaluation
ICML 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NIPS 2024
Adversarial Learning of Distributional Reinforcement Learning
ICML 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing
NIPS 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NIPS 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing
AAAI 2023
Controlling Neural Style Transfer with Deep Reinforcement Learning
IJCAI 2023
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data
JMLR 2022
An Online Sequential Test for Qualitative Treatment Effects
JMLR 2021
Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model
JMLR 2021
MFPCA: Multiscale Functional Principal Component Analysis
AAAI 2019
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response
NIPS 2019
A Powerful Global Test Statistic for Functional Statistical Inference
AAAI 2019
Sensitivity Analysis of Deep Neural Networks
AAAI 2019