Zhi Zhang
31 papers · 2019–2026 · 16 conferences · across top CS/AI conferences
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(32)
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Grand Slam
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Keyword Collector
(130)
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(8)
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The Questioner
(2)
Conferences
AAAI (5)
AISTATS (4)
CVPR (3)
ICLR (3)
ICML (3)
ICCV (2)
NIPS (2)
AACL (1)
ACL (1)
EACL (1)
EMNLP (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
NAACL (1)
NSDI (1)
Top co-authors
Research topics
Keywords
large language model
(4)
transfer learning
(4)
model compression
(3)
distributed training
(2)
molecular representation
(2)
data augmentation
(2)
graph encoder
(2)
language model
(2)
referring expression comprehension
(2)
language encoder
(2)
multimodal learning
(2)
convolutional neural network
(2)
object localization
(2)
parameter-efficient fine-tuning
(2)
batch normalization
(1)
attention mechanism
(1)
visual question answering
(1)
domain generalization
(1)
image classification
(1)
object detection
(1)
Papers
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
AAAI 2026
Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs
AAAI 2026
From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension
AAAI 2026
Ted-Tok: Maintaining an Evolving Vocabulary for Lifelong Learning
ACL 2026
Quantile Additive Trend Filtering
AISTATS 2025
Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory
AISTATS 2025
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Modelβs Parameter-Efficient Fine-Tuning
ICML 2025
How Aligned Are Unimodal Language and Graph Encodings of Chemical Molecules?
IJCNLP 2025
Mixture of Knowledge Minigraph Agents for Literature Review Generation
AAAI 2025
How Aligned Are Unimodal Language and Graph Encodings of Chemical Molecules?
AACL 2025
Cross-modal Information Flow in Multimodal Large Language Models
CVPR 2025
NeuroAda: Activating Each Neuronβs Potential for Parameter-Efficient Fine-Tuning
EMNLP 2025
Let the Code LLM Edit Itself When You Edit the Code
ICLR 2025
Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models
NAACL 2025
Formal Verification of Unknown Stochastic Systems via Non-parametric Estimation
AISTATS 2024
Multivariate Time Series Forecasting By Graph Attention Networks With Theoretical Guarantees
AISTATS 2024
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
AAAI 2024
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
NSDI 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
Self-Infilling Code Generation
ICML 2024
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training
NIPS 2024
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
ICML 2024
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video
ICCV 2023
CK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
EACL 2023
Deep AutoAugment
ICLR 2022
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory
ICLR 2022
Progressive Coordinate Transforms for Monocular 3D Object Detection
NIPS 2021
CrossNorm and SelfNorm for Generalization Under Distribution Shifts
ICCV 2021
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking
IJCAI 2020
Bag of Tricks for Image Classification with Convolutional Neural Networks
CVPR 2019