Cheng Han
15 papers · 2023–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5)
🌈
Renaissance Researcher
(5)
👑
Triple Crown
🤝
Dynamic Duo
(13)
❓
The Questioner
⚡
Prolific Year
(7)
💎
Century Club
(14)
Conferences
ICLR (4)
EMNLP (2)
ICCV (2)
NIPS (2)
ACL (1)
CVPR (1)
ECCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
prompt tuning
(3)
parameter-efficient finetuning
(2)
transfer learning
(2)
vision-language model
(2)
visual prompt tuning
(2)
manifold learning
(1)
robotic manipulation
(1)
semantic segmentation
(1)
depth estimation
(1)
multimodal learning
(1)
instance segmentation
(1)
parameter-efficient learning
(1)
instruction tuning
(1)
parameter efficient
(1)
few-shot learning
(1)
adversarial attack
(1)
optical flow estimation
(1)
video captioning
(1)
parameter-efficient fine-tuning
(1)
optical flow
(1)
Papers
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
ACL 2026
Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
ICCV 2025
MEPT: Mixture of Expert Prompt Tuning as a Manifold Mapper
EMNLP 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
ICLR 2025
AMD: Automatic Multi-step Distillation of Large-scale Vision Models
ECCV 2024
Visual Fourier Prompt Tuning
NIPS 2024
Prototypical Transformer As Unified Motion Learners
ICML 2024
ProMotion: Prototypes As Motion Learners
CVPR 2024
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
EMNLP 2024
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
ICLR 2024
Image Translation as Diffusion Visual Programmers
ICLR 2024
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning
IJCAI 2023
E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning
ICCV 2023
Unified 3D Segmenter As Prototypical Classifiers
NIPS 2023
Visual Recognition with Deep Nearest Centroids
ICLR 2023