Jiacheng Zhu
21 papers · 2020–2025 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (12)
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Academic Marathon
(5)
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Cross-Pollinator
(11)
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Renaissance Researcher
(5)
π€
Dynamic Duo
(13)
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Keyword Champion
β
The Questioner
(2)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(92)
π
Century Club
(21)
Conferences
ICML (4)
NIPS (4)
AAAI (2)
ACL (2)
CVPR (2)
AISTATS (1)
CORL (1)
EACL (1)
EMNLP (1)
JMLR (1)
MLHC (1)
NAACL (1)
Top co-authors
Keywords
optimal transport
(4)
domain adaptation
(3)
multimodal learning
(3)
variational inference
(3)
adversarial robustness
(3)
wasserstein distance
(2)
data augmentation
(2)
contrastive learning
(2)
generative adversarial imitation learning
(2)
style embedding
(2)
camera motion
(2)
sample efficiency
(1)
policy optimization
(1)
transfer learning
(1)
imitation learning
(1)
zero-shot learning
(1)
image classification
(1)
online learning
(1)
style transfer
(1)
offline reinforcement learning
(1)
Papers
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
CVPR 2025
mStyleDistance: Multilingual Style Embeddings and their Evaluation
ACL 2025
LEMoN: Label Error Detection using Multimodal Neighbors
ICML 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
NAACL 2025
Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
ICML 2025
MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos
CVPR 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
NIPS 2024
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
AISTATS 2024
Asymmetry in Low-Rank Adapters of Foundation Models
ICML 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment
ACL 2023
Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?
EACL 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
NIPS 2023
Can Brain Signals Reveal Inner Alignment with Human Languages?
EMNLP 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
ICML 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
NIPS 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction
MLHC 2022
Robustness Certification of Visual Perception Models via Camera Motion Smoothing
CORL 2022
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)
AAAI 2020
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract)
AAAI 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NIPS 2020