Enhong Chen
29
Papers
1,122
Total Citations
Papers (29)
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
858
citations
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
114
citations
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024arXiv
105
citations
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation
AAAI 2025
31
citations
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024arXiv
9
citations
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
2
citations
Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration
CVPR 2025
2
citations
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
ICML 2025
1
citations
DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis
ICCV 2021
0
citations
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
AAAI 2025
0
citations
Multi-Branch Self-Drafting for LLM Inference Acceleration
AAAI 2025
0
citations
Explore What LLM Does Not Know in Complex Question Answering
AAAI 2025
0
citations
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation
ICML 2024
0
citations
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
ICML 2024
0
citations
Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation
CVPR 2022arXiv
0
citations
Neural Architecture Optimization
NeurIPS 2018
0
citations
Efficient Pure Exploration in Adaptive Round model
NeurIPS 2019
0
citations
Semi-Supervised Neural Architecture Search
NeurIPS 2020
0
citations
Incorporating BERT into Parallel Sequence Decoding with Adapters
NeurIPS 2020
0
citations
Sampling-Decomposable Generative Adversarial Recommender
NeurIPS 2020
0
citations
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
NeurIPS 2022
0
citations
DARE: Disentanglement-Augmented Rationale Extraction
NeurIPS 2022
0
citations
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever
NeurIPS 2022
0
citations
Recommender Forest for Efficient Retrieval
NeurIPS 2022
0
citations
A Bounded Ability Estimation for Computerized Adaptive Testing
NeurIPS 2023
0
citations
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
NeurIPS 2023
0
citations
Knowledge Distillation for High Dimensional Search Index
NeurIPS 2023
0
citations
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
NeurIPS 2023
0
citations
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods
ICML 2018
0
citations