Yihang Chen
13 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(5)
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(52)
⚡
Prolific Year
(9)
💎
Century Club
(12)
❓
The Questioner
Conferences
NIPS (4)
ICLR (3)
ECCV (2)
AAAI (1)
CVPR (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
entropy coding
(2)
vision-language model
(2)
model compression
(2)
lottery ticket hypothesis
(1)
autoregressive transformer
(1)
causal discovery
(1)
3d reconstruction
(1)
foundation model
(1)
implicit representation
(1)
feature representation
(1)
granger causality
(1)
multiple instance learning
(1)
mutual information
(1)
information entropy
(1)
variational autoencoder
(1)
data privacy
(1)
network pruning
(1)
3d gaussian splatting
(1)
image classification
(1)
causal inference
(1)
Papers
PCGS: Progressive Compression of 3D Gaussian Splatting
AAAI 2026
RapVerse: Coherent Vocals and Whole-Body Motion Generation from Text
ICCV 2025
Fast Feedforward 3D Gaussian Splatting Compression
ICLR 2025
Membership Inference Attacks against Large Vision-Language Models
NIPS 2024
How Far Can We Compress Instant-NGP-Based NeRF?
CVPR 2024
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
ECCV 2024
Generalization of Scaled Deep ResNets in the Mean-Field Regime
ICLR 2024
Order-Preserving GFlowNets
ICLR 2024
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
ICML 2024
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
ECCV 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement
NIPS 2024
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning
NIPS 2024
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot
NIPS 2020