Ji, Rongrong
209 publications
NeurIPS
2025
Accelerating Multimodal Large Language Models via Dynamic Visual-Token Exit and the Empirical Findings
AAAI
2025
Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference
NeurIPS
2025
CPPO: Accelerating the Training of Group Relative Policy Optimization-Based Reasoning Models
ICML
2025
Determining Layer-Wise Sparsity for Large Language Models Through a Theoretical Perspective
NeurIPS
2025
Discovering Important Experts for Mixture-of-Experts Models Pruning Through a Theoretical Perspective
ICML
2025
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
ICCV
2025
Inter2Former: Dynamic Hybrid Attention for Efficient High-Precision Interactive Segmentation
ICLR
2025
Routing Experts: Learning to Route Dynamic Experts in Existing Multi-Modal Large Language Models
NeurIPS
2025
Spotlight Attention: Towards Efficient LLM Generation via Non-Linear Hashing-Based KV Cache Retrieval
NeurIPS
2025
VITA-Audio: Fast Interleaved Audio-Text Token Generation for Efficient Large Speech-Language Model
NeurIPS
2025
Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs
ECCV
2024
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
NeurIPS
2024
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
ICML
2024
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment
NeurIPS
2024
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation
ECCV
2024
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing
ECCV
2024
Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents
ICML
2024
X-Oscar: A Progressive Framework for High-Quality Text-Guided 3D Animatable Avatar Generation
NeurIPS
2023
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
NeurIPS
2023
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-Trained Models
CVPR
2023
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
CVPR
2022
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
AAAI
2021
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
NeurIPS
2021
Revisiting Discriminator in GAN Compression: A Generator-Discriminator Cooperative Compression Scheme
IJCAI
2019
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework
AAAI
2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
IJCAI
2018
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI
2018
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid
AAAI
2017
ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy
ECCV
2016
Search-Based Depth Estimation via Coupled Dictionary Learning with Large-Margin Structure Inference
AAAI
2016
Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer