Zhijie Deng
38 papers · 2017–2026 · 12 conferences · across top CS/AI conferences
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Conferences
NIPS (10)
ICML (6)
ICCV (5)
ICLR (4)
ACL (3)
EMNLP (3)
CVPR (2)
AAAI (1)
ACML (1)
COLING (1)
ECCV (1)
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Top co-authors
Keywords
uncertainty quantification
(4)
variational inference
(3)
model calibration
(3)
pre-trained model
(3)
bayesian neural network
(3)
diffusion model
(3)
uncertainty calibration
(2)
model ensemble
(2)
neural network
(2)
gaussian process
(2)
reinforcement learning
(2)
neural tangent kernel
(2)
neural network optimization
(2)
knowledge distillation
(2)
model compression
(2)
image classification
(2)
semi-supervised learning
(2)
machine unlearning
(2)
deep neural network
(2)
spectral clustering
(1)
Papers
TPS-Bench: Evaluating AI Agentsβ Tool Planning & Scheduling Abilities in Compounding Tasks
ACL 2026
SIFT: Grounding LLM Reasoning in Contexts via Stickers
EMNLP 2025
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
AAAI 2025
SafeEraser: Enhancing Safety in Multimodal Large Language Models through Multimodal Machine Unlearning
ACL 2025
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models
COLING 2025
Fast Quiet-STaR: Thinking Without Thought Tokens
EMNLP 2025
Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation
ICCV 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
ICCV 2025
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
ICLR 2025
3D-Properties: Identifying Challenges in DPO and Charting a Path Forward
ICLR 2025
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads
ICML 2025
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
ACL 2024
CLLMs: Consistency Large Language Models
ICML 2024
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
CVPR 2024
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
ECCV 2024
AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models
EMNLP 2024
Online Speculative Decoding
ICML 2024
Improved Operator Learning by Orthogonal Attention
ICML 2024
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
ICML 2024
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
ICLR 2024
Amortized Fourier Neural Operators
NIPS 2024
On Calibrating Diffusion Probabilistic Models
NIPS 2023
Towards Accelerated Model Training via Bayesian Data Selection
NIPS 2023
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation
ICCV 2023
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction
NIPS 2023
NeuralEF: Deconstructing Kernels by Deep Neural Networks
ICML 2022
Exploring Memorization in Adversarial Training
ICLR 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
BayesAdapter: Being Bayesian, Inexpensively and
Reliably, via Bayesian Fine-tuning
ACML 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning
NIPS 2022
Confidence-based Reliable Learning under Dual Noises
NIPS 2022
Black-Box Detection of Backdoor Attacks With Limited Information and Data
ICCV 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
CVPR 2021
Understanding and Exploring the Network with Stochastic Architectures
NIPS 2020
Adversarial Distributional Training for Robust Deep Learning
NIPS 2020
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
NIPS 2020
Cluster Alignment With a Teacher for Unsupervised Domain Adaptation
ICCV 2019
Structured Generative Adversarial Networks
NIPS 2017