Ziyi Zhang
15 papers · 2022–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (9) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge
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Conference Polyglot
(10)
🐝
Cross-Pollinator
(9)
🏆
Grand Slam
👑
Triple Crown
🔥
Unstoppable
(5)
❓
The Questioner
💎
Century Club
(13)
🗃️
Keyword Collector
(56)
⚡
Prolific Year
(6)
Conferences
ICML (3)
ACL (2)
NIPS (2)
AAAI (1)
EMNLP (1)
ICCV (1)
ICLR (1)
IJCAI (1)
NAACL (1)
NSDI (1)
UAI (1)
Top co-authors
Keywords
3d reconstruction
(1)
contrastive learning
(1)
semi-supervised learning
(1)
text classification
(1)
video generation
(1)
noisy label learning
(1)
social media analysis
(1)
kl divergence
(1)
source-free domain adaptation
(1)
human pose estimation
(1)
pseudo labeling
(1)
neural rendering
(1)
feature representation
(1)
membrane potential
(1)
feature clustering
(1)
maximum mean discrepancy
(1)
static analysis
(1)
image inpainting
(1)
adversarial attack
(1)
unsupervised learning
(1)
Papers
Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution
AAAI 2026
SACTOR: LLM-Driven Correct and Idiomatic C to Rust Translation with Static Analysis and FFI-Based Verification
ACL 2026
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts
EMNLP 2025
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
UAI 2025
A Unified Supervised and Unsupervised Dialogue Topic Segmentation Framework Based on Utterance Pair Modeling
NAACL 2025
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media
ACL 2025
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting
ICML 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
NIPS 2024
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation
ICLR 2024
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
ICML 2024
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
GRACE: Loss-Resilient Real-Time Video through Neural Codecs
NSDI 2024
RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels
ICCV 2023
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
IJCAI 2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
NIPS 2022