Deng, Cheng
98 publications
ICLR
2025
CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement
AAAI
2025
Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning
NeurIPS
2025
MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
CVPR
2025
Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection
ICLR
2025
Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization
ICML
2024
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning
ICLR
2024
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects
CVPR
2023
Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
ICCV
2023
Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation
NeurIPS
2022
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-Supervised Learning
CVPR
2022
Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation
JMLR
2021
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity
NeurIPS
2021
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement
MLJ
2021
Triply Stochastic Gradient Method for Large-Scale Nonlinear Similar Unlabeled Classification
AAAI
2020
Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries
IJCAI
2019
Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss
ICCV
2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
IJCAI
2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model