← Authors

Chang Xu

196 papers · 2014–2026 · 17 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (11) 🌍 Conference Polyglot (17) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🏠 Conference Loyalist (23) πŸ† Keyword Champion (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (29) 🧬 Topic Evolution 🀝 Dynamic Duo (56) ⚑ Prolific Year (26) πŸ”₯ Unstoppable (12) πŸ—ƒοΈ Keyword Collector (57) πŸ’Ž Century Club (193) πŸ“ˆ Trend Setter ❓ The Questioner (4) πŸš€ Conference Pioneer

Conferences

CVPR (43) NIPS (32) AAAI (26) ICML (21) IJCAI (17) ICCV (16) ICLR (13) ECCV (12) ACL (5) EMNLP (3) IJCNLP (2) COLING (1) ACML (1) INTERSPEECH (1) MICCAI (1) NAACL (1) WACV (1)

Top co-authors

Yunhe Wang (56) Chao Xu (33) Dacheng Tao (33) Chunjing XU (30) Shan You (29) Minjing Dong (28) Kai Han (23) Yehui Tang (20) Daochang Liu (18) Chen Qian (15)

Research topics

Architectures (1) Differential Privacy (1)

Keywords

model compression (37) convolutional neural network (22) neural architecture search (16) diffusion model (13) knowledge distillation (13) image classification (12) adversarial robustness (12) efficient computing (10) generative adversarial network (9) representation learning (9) object detection (9) image generation (9) neural network optimization (9) semi-supervised learning (9) contrastive learning (7) vision transformer (7) semantic segmentation (7) generative model (6) adversarial attack (6) multimodal learning (5)

Papers

Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning AAAI 2026
Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization AAAI 2026
Controllable Financial Market Generation with Diffusion Guided Meta Agent AAAI 2026
Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention ICLR 2025
Anti-Exposure Bias in Diffusion Models ICLR 2025
Learning Mask Invariant Mutual Information for Masked Image Modeling ICLR 2025
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework ICCV 2025
SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images ICCV 2025
VSSD: Vision Mamba with Non-Causal State Space Duality ICCV 2025
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation ICCV 2025
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025
Beyond One-Hot Labels: Semantic Mixing for Model Calibration ICML 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling ICML 2025
Stable Fair Graph Representation Learning with Lipschitz Constraint ICML 2025
CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V NAACL 2025
WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration AAAI 2025
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness AAAI 2025
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba AAAI 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts AAAI 2025
Feature Clipping for Uncertainty Calibration AAAI 2025
ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model ICLR 2025
DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents MICCAI 2025
Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models CVPR 2025
Position: AI Scaling: From Up to Down and Out ICML 2025
Adversarial Robustness via Deformable Convolution with Stochasticity ICML 2025
Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation CVPR 2025
Uncertainty Weighted Gradients for Model Calibration CVPR 2025
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models ICLR 2025
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping CVPR 2025
Representative Guidance: Diffusion Model Sampling with Coherence ICLR 2025
Exploring Local Memorization in Diffusion Models via Bright Ending Attention ICLR 2025
Training-free Composite Scene Generation for Layout-to-Image Synthesis ECCV 2024
Active Generation for Image Classification ECCV 2024
Locating and Extracting Relational Concepts in Large Language Models ACL 2024
Visual Prompting via Partial Optimal Transport ECCV 2024
ConGeo: Robust Cross-view Geo-localization across Ground View Variations ECCV 2024
Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective CVPR 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024
Residual Learning in Diffusion Models CVPR 2024
Towards Memorization-Free Diffusion Models CVPR 2024
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning ICML 2024
Imitation Learning from Purified Demonstrations ICML 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer ICML 2024
Data-efficient Large Vision Models through Sequential Autoregression ICML 2024
Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model NIPS 2024
A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era NIPS 2024
Enhancing Large Language Models through Adaptive Tokenizers NIPS 2024
A Benchmark Study on Calibration ICLR 2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process ICLR 2024
Neural Architecture Retrieval ICLR 2024
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA ICML 2024
AMD: Autoregressive Motion Diffusion AAAI 2024
Harnessing Edge Information for Improved Robustness in Vision Transformers AAAI 2024
Learning Visual Abstract Reasoning through Dual-Stream Networks AAAI 2024
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models ECCV 2024
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense NIPS 2023
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale NIPS 2023
Adversarial Robustness through Random Weight Sampling NIPS 2023
Rethinking Conditional Diffusion Sampling with Progressive Guidance NIPS 2023
Stable Diffusion is Unstable NIPS 2023
Knowledge Diffusion for Distillation NIPS 2023
Contrastive Sampling Chains in Diffusion Models NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation NIPS 2023
Neural Architecture Search for Wide Spectrum Adversarial Robustness AAAI 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations AAAI 2023
Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning AAAI 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection CVPR 2023
PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation With Progressive Video Transformers CVPR 2023
Trade-Off Between Robustness and Accuracy of Vision Transformers CVPR 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier CVPR 2023
Adversarial Robustness via Random Projection Filters CVPR 2023
Personalized Image Generation for Color Vision Deficiency Population ICCV 2023
What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV 2023
Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection ICCV 2023
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation ICCV 2023
SimMatchV2: Semi-Supervised Learning with Graph Consistency ICCV 2023
Diffusion Action Segmentation ICCV 2023
Masked Distillation with Receptive Tokens ICLR 2023
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance ICML 2023
Dual Focal Loss for Calibration ICML 2023
Calibrating a Deep Neural Network with Its Predecessors IJCAI 2023
DSTrans: Dual-Stream Transformer for Hyperspectral Image Restoration WACV 2023
Relational Surrogate Loss Learning ICLR 2022
One Size Does NOT Fit All: Data-Adaptive Adversarial Training ECCV 2022
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection ECCV 2022
ViTAS: Vision Transformer Architecture Search ECCV 2022
Hire-MLP: Vision MLP via Hierarchical Rearrangement CVPR 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention NIPS 2022
DeepFake Disrupter: The Detector of DeepFake Is My Friend CVPR 2022
Knowledge Distillation from A Stronger Teacher NIPS 2022
DyRep: Bootstrapping Training With Dynamic Re-Parameterization CVPR 2022
Random Normalization Aggregation for Adversarial Defense NIPS 2022
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition NIPS 2022
GreedyNASv2: Greedier Search With a Greedy Path Filter CVPR 2022
An Image Patch Is a Wave: Phase-Aware Vision MLP CVPR 2022
SimMatch: Semi-Supervised Learning With Similarity Matching CVPR 2022
Spatial-Channel Token Distillation for Vision MLPs ICML 2022
Patch Slimming for Efficient Vision Transformers CVPR 2022
CMT: Convolutional Neural Networks Meet Vision Transformers CVPR 2022
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation ACL 2021
Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning ACL 2021
Distilling Object Detectors via Decoupled Features CVPR 2021
Locally Free Weight Sharing for Network Width Search ICLR 2021
Pre-Trained Image Processing Transformer CVPR 2021
One-shot Graph Neural Architecture Search with Dynamic Search Space AAAI 2021
AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021
Learning Student Networks in the Wild CVPR 2021
ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021
Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution ICCV 2021
Weakly Supervised Contrastive Learning ICCV 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation NIPS 2021
Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning IJCNLP 2021
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation IJCNLP 2021
Adversarial Robustness through Disentangled Representations AAAI 2021
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning AAAI 2021
Mitigating Data Poisoning in Text Classification with Differential Privacy EMNLP 2021
Where and What? Examining Interpretable Disentangled Representations CVPR 2021
Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
An Empirical Study of Adder Neural Networks for Object Detection NIPS 2021
Towards Stable and Robust AdderNets NIPS 2021
Augmented Shortcuts for Vision Transformers NIPS 2021
Handling Long-tailed Feature Distribution in AdderNets NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
Neural Architecture Dilation for Adversarial Robustness NIPS 2021
BCNet: Searching for Network Width With Bilaterally Coupled Network CVPR 2021
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021
Learning to Weight Imperfect Demonstrations ICML 2021
Commutative Lie Group VAE for Disentanglement Learning ICML 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations IJCAI 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020
CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020
A Semi-Supervised Assessor of Neural Architectures CVPR 2020
Neuromorphic Camera Guided High Dynamic Range Imaging CVPR 2020
Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020
GhostNet: More Features From Cheap Operations CVPR 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer ECCV 2020
Learning Disentangled Representations with Latent Variation Predictability ECCV 2020
On Dropping Clusters to Regularize Graph Convolutional Neural Networks ECCV 2020
Assessing Social License to Operate from the Public Discourse on Social Media COLING 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Speaker-Aware Monaural Speech Separation INTERSPEECH 2020
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging NIPS 2020
Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data AAAI 2020
Adapting Neural Architectures Between Domains NIPS 2020
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks AAAI 2020
Learning Student Networks with Few Data AAAI 2020
Distilling Portable Generative Adversarial Networks for Image Translation AAAI 2020
Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020
Neural Architecture Search in A Proxy Validation Loss Landscape ICML 2020
Kernel Based Progressive Distillation for Adder Neural Networks NIPS 2020
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
On Positive-Unlabeled Classification in GAN CVPR 2020
Context Aware Graph Convolution for Skeleton-Based Action Recognition CVPR 2020
Approximated Bilinear Modules for Temporal Modeling ICCV 2019
Co-Evolutionary Compression for Unpaired Image Translation ICCV 2019
Attribute Aware Pooling for Pedestrian Attribute Recognition IJCAI 2019
Crafting Efficient Neural Graph of Large Entropy IJCAI 2019
Data-Free Learning of Student Networks ICCV 2019
Self-Supervised Representation Learning From Multi-Domain Data ICCV 2019
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ACL 2019
Self-Supervised Representation Learning by Rotation Feature Decoupling CVPR 2019
Image-Question-Answer Synergistic Network for Visual Dialog CVPR 2019
Positive-Unlabeled Compression on the Cloud NIPS 2019
LegoNet: Efficient Convolutional Neural Networks with Lego Filters ICML 2019
Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data AAAI 2019
Smooth Deep Image Generator from Noises AAAI 2019
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks AAAI 2019
Learning from Bad Data via Generation NIPS 2019
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models IJCAI 2019
Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019
On Retrospecting Human Dynamics with Attention IJCAI 2019
Cross-Target Stance Classification with Self-Attention Networks ACL 2018
R-SVM+: Robust Learning with Privileged Information IJCAI 2018
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
Attention-GAN for Object Transfiguration in Wild Images ECCV 2018
Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017
Collaborative Rating Allocation IJCAI 2017
Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017
Tag Disentangled Generative Adversarial Network for Object Image Re-rendering IJCAI 2017
Multi-Positive and Unlabeled Learning IJCAI 2017
Privileged Multi-label Learning IJCAI 2017
Online Reputation Fraud Campaign Detection in User Ratings IJCAI 2017
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Improving Sybil Detection via Graph Pruning and Regularization Techniques ACML 2015
Multi-view Self-Paced Learning for Clustering IJCAI 2015
Large-margin Weakly Supervised Dimensionality Reduction ICML 2014