Xiangxiang Chu
36 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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AAAI (7)
ICCV (7)
ACL (4)
CVPR (4)
ECCV (4)
ICLR (3)
NIPS (3)
EMNLP (2)
ICML (1)
INTERSPEECH (1)
Top co-authors
Keywords
convolutional neural network
(6)
semantic segmentation
(5)
neural architecture search
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model compression
(3)
object detection
(3)
video generation
(3)
post-training quantization
(2)
zero-shot learning
(2)
bird eye view
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vision-language model
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supernet training
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image classification
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autonomous driving
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vision transformer
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language model
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reinforcement learning
(2)
image segmentation
(1)
model quantization
(1)
catastrophic forgetting
(1)
human perception
(1)
Papers
Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation
AAAI 2026
Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models
ACL 2026
L2Dir: Integrating L_2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal Retrieval
ACL 2026
Visually-Guided Policy Optimization for Multimodal Reasoning
ACL 2026
AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting
AAAI 2026
SCALAR: Scale-wise Controllable Visual Autoregressive Learning
AAAI 2026
CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
ACL 2026
ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints
AAAI 2026
VMBench: A Benchmark for Perception-Aligned Video Motion Generation
ICCV 2025
Towards Efficient Foundation Model for Zero-shot Amodal Segmentation
CVPR 2025
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
ICCV 2025
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
ICCV 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation
EMNLP 2025
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation
EMNLP 2025
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling
ICCV 2025
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
CVPR 2024
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation
AAAI 2024
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
ICLR 2024
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
ICML 2024
Make RepVGG Greater Again: A Quantization-Aware Approach
AAAI 2024
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
ECCV 2024
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition
ECCV 2024
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
AAAI 2024
MixPath: A Unified Approach for One-shot Neural Architecture Search
ICCV 2023
AeDet: Azimuth-Invariant Multi-View 3D Object Detection
CVPR 2023
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation
ICCV 2023
Conditional Positional Encodings for Vision Transformers
ICLR 2023
SegViT: Semantic Segmentation with Plain Vision Transformers
NIPS 2022
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images
ECCV 2022
Modeling Motion With Multi-Modal Features for Text-Based Video Segmentation
CVPR 2022
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
NIPS 2022
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
ICLR 2021
Twins: Revisiting the Design of Spatial Attention in Vision Transformers
NIPS 2021
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
ICCV 2021
Neural Architecture Search on Acoustic Scene Classification
INTERSPEECH 2020
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
ECCV 2020