Zhongzhan Huang
15 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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Conferences
EMNLP (3)
AAAI (2)
ACL (2)
NIPS (2)
CVPR (1)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
large language model
(4)
benchmark evaluation
(3)
self-attention mechanism
(2)
residual network
(2)
image classification
(2)
channel attention
(1)
3d reconstruction
(1)
causal inference
(1)
attention mechanism
(1)
data compression
(1)
batch normalization
(1)
multimodal learning
(1)
model selection
(1)
video understanding
(1)
instruction tuning
(1)
hierarchical alignment
(1)
neural network optimization
(1)
parameter sharing
(1)
multi-task learning
(1)
neural network pruning
(1)
Papers
4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos
WACV 2026
MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models
ACL 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
EMNLP 2025
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity
EMNLP 2025
Stripe Observation Guided Inference Cost-free Attention Mechanism
ECCV 2024
MoExtend: Tuning New Experts for Modality and Task Extension
ACL 2024
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
CVPR 2024
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios
ICML 2024
Understanding Self-attention Mechanism via Dynamical System Perspective
ICCV 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection
NIPS 2023
CEM: Machine-Human Chatting Handoff via Causal-Enhance Module
EMNLP 2022
Stiffness-aware neural network for learning Hamiltonian systems
ICLR 2022
Rethinking the Pruning Criteria for Convolutional Neural Network
NIPS 2021
DIANet: Dense-and-Implicit Attention Network
AAAI 2020
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise
AAAI 2020