Xinghao Chen
41 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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Keywords
model compression
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object detection
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knowledge distillation
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adder neural network
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vision transformer
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convolutional neural network
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semantic segmentation
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image segmentation
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representation learning
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feature fusion
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image classification
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adversarial robustness
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model architecture
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Papers
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
AAAI 2026
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
ACL 2026
Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation
NAACL 2025
TimePro: Efficient Multivariate Long-term Time Series Forecasting with Variable- and Time-Aware Hyper-state
ICML 2025
SlimLLM: Accurate Structured Pruning for Large Language Models
ICML 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025
Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning
ACL 2025
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
ICLR 2025
TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba
ICCV 2025
MultiConIR: Towards Multi-Condition Information Retrieval
EMNLP 2025
Single Domain Generalization for Few-Shot Counting via Universal Representation Matching
CVPR 2025
Multimodal Language Models See Better When They Look Shallower
EMNLP 2025
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
CVPR 2025
The Accuracy Paradox in RLHF: When Better Reward Models Donβt Yield Better Language Models
EMNLP 2024
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation
NIPS 2024
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
ECCV 2024
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
ICML 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
ICML 2024
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
ICML 2024
Less is More: Focus Attention for Efficient DETR
ICCV 2023
AutoLoss-GMS: Searching Generalized Margin-Based Softmax Loss Function for Person Re-Identification
CVPR 2022
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
ECCV 2022
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
NIPS 2022
Spatial-Channel Token Distillation for Vision MLPs
ICML 2022
Random Normalization Aggregation for Adversarial Defense
NIPS 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement
CVPR 2022
Multimodal Token Fusion for Vision Transformers
CVPR 2022
CMT: Convolutional Neural Networks Meet Vision Transformers
CVPR 2022
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens
CVPR 2021
Handling Long-tailed Feature Distribution in AdderNets
NIPS 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection
CVPR 2021
Towards Stable and Robust AdderNets
NIPS 2021
An Empirical Study of Adder Neural Networks for Object Detection
NIPS 2021
Distilling Object Detectors via Decoupled Features
CVPR 2021
Winograd Algorithm for AdderNet
ICML 2021
Data-Free Knowledge Distillation for Image Super-Resolution
CVPR 2021
CARS: Continuous Evolution for Efficient Neural Architecture Search
CVPR 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection
CVPR 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
ECCV 2020
Kernel Based Progressive Distillation for Adder Neural Networks
NIPS 2020
Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
CVPR 2018