← Authors

Baochang Zhang

87 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (103) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (25) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (18) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (86) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (314)

Conferences

CVPR (23) AAAI (17) IJCAI (10) ECCV (9) ICCV (9) NIPS (7) WACV (5) ICLR (3) MICCAI (3) ICML (1)

Top co-authors

Rongrong Ji (25) DAVID DOERMANN (20) Jianzhuang Liu (20) Guodong Guo (18) Xianbin Cao (13) Yanjing Li (13) Feiyue Huang (12) Yongjian Wu (12) Shaohui Lin (12) Linlin Yang (11)

Keywords

model compression (22) convolutional neural network (12) knowledge distillation (9) object detection (8) image classification (7) neural network optimization (7) binary neural network (5) efficient computing (5) model quantization (5) instance segmentation (5) diffusion model (4) unsupervised learning (4) semantic segmentation (4) vision transformer (4) binarized neural network (4) neural network quantization (3) gradient descent (3) image reconstruction (3) neural architecture search (3) zero-shot learning (3)

Papers

Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond AAAI 2026
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval MICCAI 2025
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts ICLR 2025
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training ICLR 2025
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection ICLR 2025
WaveMamba: Wavelet-Driven Mamba Fusion for RGB-Infrared Object Detection ICCV 2025
Uncertainty-Aware Gradient Stabilization for Small Object Detection ICCV 2025
SET: Spectral Enhancement for Tiny Object Detection CVPR 2025
DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025
Dynamic Clustering Convolutional Neural Network AAAI 2025
Graph Structure Refinement with Energy-based Contrastive Learning AAAI 2025
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays ECCV 2024
CLIP in Mirror: Disentangling text from visual images through reflection NIPS 2024
Tuning-Free Inversion-Enhanced Control for Consistent Image Editing AAAI 2024
Bi-ViT: Pushing the Limit of Vision Transformer Quantization AAAI 2024
Controllable Mind Visual Diffusion Model AAAI 2024
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024
Federated Learning via Input-Output Collaborative Distillation AAAI 2024
UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation CVPR 2024
ZONE: Zero-Shot Instruction-Guided Local Editing CVPR 2024
A General and Efficient Training for Transformer via Token Expansion CVPR 2024
WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing ECCV 2024
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement ICML 2024
Multi-Modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction MICCAI 2024
XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-ray Angiography MICCAI 2024
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023
Implicit Diffusion Models for Continuous Super-Resolution CVPR 2023
Resilient Binary Neural Network AAAI 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer CVPR 2023
Representation Disparity-aware Distillation for 3D Object Detection ICCV 2023
Adaptive Hierarchy-Branch Fusion for Online Knowledge Distillation AAAI 2023
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment CVPR 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model NIPS 2023
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer NIPS 2022
FNeVR: Neural Volume Rendering for Face Animation NIPS 2022
Uncertainty Learning Towards Unsupervised Deformable Medical Image Registration WACV 2022
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors ECCV 2022
Recurrent Bilinear Optimization for Binary Neural Networks ECCV 2022
Anti-Retroactive Interference for Lifelong Learning ECCV 2022
Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022
IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022
Long-Range Attention Network for Multi-View Stereo WACV 2021
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation CVPR 2021
Layer-Wise Searching for 1-Bit Detectors CVPR 2021
SA-BNN: State-Aware Binary Neural Network AAAI 2021
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation ICCV 2021
IDARTS: Interactive Differentiable Architecture Search ICCV 2021
TRQ: Ternary Neural Networks With Residual Quantization AAAI 2021
Uncertainty-aware Binary Neural Networks IJCAI 2021
Style Consistent Image Generation for Nuclei Instance Segmentation WACV 2021
Dual-stream Network for Visual Recognition NIPS 2021
Deformable Gabor Feature Networks for Biomedical Image Classification WACV 2021
Cogradient Descent for Bilinear Optimization CVPR 2020
Binarized Neural Architecture Search AAAI 2020
HRank: Filter Pruning Using High-Rank Feature Map CVPR 2020
Anti-Bandit Neural Architecture Search for Model Defense ECCV 2020
Interpretable Neural Network Decoupling ECCV 2020
NAS-Count: Counting-by-Density with Neural Architecture Search ECCV 2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale ECCV 2020
Long-Short Graph Memory Network for Skeleton-based Action Recognition WACV 2020
Channel Pruning via Automatic Structure Search IJCAI 2020
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs IJCAI 2020
Rotated Binary Neural Network NIPS 2020
Generalized Zero-Shot Vehicle Detection in Remote Sensing Imagery via Coarse-to-Fine Framework IJCAI 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression CVPR 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks CVPR 2019
Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019
Variational Structured Semantic Inference for Diverse Image Captioning NIPS 2019
Multinomial Distribution Learning for Effective Neural Architecture Search ICCV 2019
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019
Bayesian Optimized 1-Bit CNNs ICCV 2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer AAAI 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation AAAI 2019
Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs IJCAI 2019
Hypergraph Induced Convolutional Manifold Networks IJCAI 2019
Modulated Convolutional Networks CVPR 2018
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval IJCAI 2018
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning IJCAI 2018
Memory Attention Networks for Skeleton-based Action Recognition IJCAI 2018
Cross-Modality Binary Code Learning via Fusion Similarity Hashing CVPR 2017
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector IJCAI 2016
Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015