Zhiwei Deng
16 papers · 2016–2024 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (8) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (32)
π
Academic Marathon
(8)
πΊοΈ
Taxonomy Completionist
(32)
π
Renaissance Researcher
(5)
π
Keyword Trendsetter Combo
(4)
π
Triple Crown
π§¬
Topic Evolution
π
Century Club
(16)
ποΈ
Keyword Collector
(63)
π
Conference Pioneer
π
Trend Setter
β
The Questioner
π₯
Unstoppable
(5)
Conferences
NIPS (5)
CVPR (4)
EMNLP (2)
ACL (1)
ECCV (1)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
group activity recognition
(2)
graphical model
(2)
imitation learning
(2)
dataset distillation
(2)
data compression
(2)
vision-language navigation
(2)
agent system
(2)
neural network
(2)
large language model
(2)
temporal dynamics
(1)
hierarchical model
(1)
instruction following
(1)
continual learning
(1)
tensor factorization
(1)
text-to-image generation
(1)
latent representation
(1)
multi-label classification
(1)
diffusion model
(1)
curriculum learning
(1)
generative model
(1)
Papers
A Label is Worth A Thousand Images in Dataset Distillation
NIPS 2024
Devilβs Advocate: Anticipatory Reflection for LLM Agents
EMNLP 2024
What is Dataset Distillation Learning?
ICML 2024
Perceptual Group Tokenizer: Building Perception with Iterative Grouping
ICLR 2024
Boundary Guided Learning-Free Semantic Control with Diffusion Models
NIPS 2023
A Zero-Shot Language Agent for Computer Control with Structured Reflection
EMNLP 2023
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
NIPS 2022
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps
ACL 2020
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation
NIPS 2020
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis
ICCV 2019
Probabilistic Neural Programmed Networks for Scene Generation
NIPS 2018
Sparsely Aggregated Convolutional Networks
ECCV 2018
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
CVPR 2017
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
CVPR 2016
Learning Structured Inference Neural Networks With Label Relations
CVPR 2016
A Hierarchical Deep Temporal Model for Group Activity Recognition
CVPR 2016