| 2026 | AAAI | Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging. | Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang |
| 2026 | AAAI | RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation. | Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang |
| 2026 | ACL | Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation. | Sondos Mahmoud Bsharat, Zhiqiang Shen |
| 2026 | ACL | LLMSurgeon: Diagnosing Data Mixture of Large Language Models. | Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Xinyue Bi, Zhaoyi Li, Zhiqiang Shen |
| 2026 | ACL | On the Cultural Anachronism and Temporal Reasoning in Vision Language Models. | Mukul Ranjan, Prince Jha, Khushboo Kumari, Zhiqiang Shen |
| 2025 | ACL | DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation. | Jennifer Chen, Aidar Myrzakhan, Yaxin Luo, Hassaan Muhammad Khan, Sondos Mahmoud Bsharat, Zhiqiang Shen |
| 2025 | ACL | KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding. | Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, Rania Elbadry, Ghazi Shazan Ahmad, Mohamed El-Geish, Omar Maher, Zhiqiang Shen, Fahad Shahbaz Khan, Salman H. Khan |
| 2025 | CVPR | DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation. | Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao |
| 2025 | ICCV | One Last Attention for Your Vision-Language Model. | Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen |
| 2025 | ICCV | MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics. | Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen |
| 2025 | ICLR | γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models. | Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji |
| 2025 | ICLR | Learning Graph Invariance by Harnessing Spuriosity. | Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen |
| 2025 | KDD | Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting. | Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen |
| 2025 | MICCAI | ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation. | Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2024 | AAAI | S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. | Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan |
| 2024 | BMVC | MixMask: Revisiting Masking Strategy for Siamese ConvNets. | Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen |
| 2024 | CVPR | Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. | Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen |
| 2024 | CVPR | i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? | Kevin Zhang, Zhiqiang Shen |
| 2024 | ICDM | Learning Invariant Features on Graphs by Disentangling Spurious Features. | Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang |
| 2024 | ICLR | Initializing Models with Larger Ones. | Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu |
| 2024 | ICML | ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. | Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu |
| 2024 | ICML | Empowering Graph Invariance Learning with Deep Spurious Infomax. | Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang |
| 2024 | ICRA | Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving. | Zhili Chen, Kien T. Pham, Maosheng Ye, Zhiqiang Shen, Qifeng Chen |
| 2024 | MICCAI | Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation. | Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaane |
| 2023 | AAAI | Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. | Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao |
| 2023 | CVPR | PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. | Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou |
| 2023 | CVPR | PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. | Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan |
| 2023 | ICCV | FerKD: Surgical Label Adaptation for Efficient Distillation. | Zhiqiang Shen |
| 2023 | ICCV | Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. | Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan |
| 2023 | ICCV | Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. | Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou |
| 2023 | ICML | Dropout Reduces Underfitting. | Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell |
| 2023 | IJCAI | Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. | Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaane |
| 2022 | AAAI | Stereo Neural Vernier Caliper. | Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng |
| 2022 | AAAI | Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. | Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing |
| 2022 | CVPR | Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. | Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing |
| 2022 | CVPR | Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. | Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen |
| 2022 | ECCV | Data-Free Neural Architecture Search via Recursive Label Calibration. | Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner |
| 2022 | ECCV | Sliced Recursive Transformer. | Zhiqiang Shen, Zechun Liu, Eric P. Xing |
| 2022 | ECCV | A Fast Knowledge Distillation Framework for Visual Recognition. | Zhiqiang Shen, Eric P. Xing |
| 2022 | ICML | SDQ: Stochastic Differentiable Quantization with Mixed Precision. | Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng |
| 2021 | AAAI | Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. | Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng |
| 2021 | CVPR | "BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. | Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang |
| 2021 | CVPR | S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. | Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides |
| 2021 | CVPR | Unsupervised Disentanglement of Linear-Encoded Facial Semantics. | Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides |
| 2021 | CVPR | Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. | Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides |
| 2021 | ICCV | Contrast and Order Representations for Video Self-supervised Learning. | Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen |
| 2021 | ICLR | Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. | Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides |
| 2021 | ICML | How Do Adam and Training Strategies Help BNNs Optimization. | Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng |
| 2021 | MICCAI | Automated Kidney Tumor Segmentation with Convolution and Transformer Network. | Zhiqiang Shen, Hua Yang, Zhen Zhang, Shaohua Zheng |
| 2021 | MICCAI | Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images. | Jianhui Wen, Zhaopei Li, Zhiqiang Shen, Yaoyong Zheng, Shaohua Zheng |
| 2021 | WACV | Conditional Link Prediction of Category-Implicit Keypoint Detection. | Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen |
| 2020 | CVPR | Binarizing MobileNet via Evolution-Based Searching. | Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen |
| 2020 | ECCV | ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. | Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng |
| 2020 | ECCV | Online Ensemble Model Compression Using Knowledge Distillation. | Devesh Walawalkar, Zhiqiang Shen, Marios Savvides |
| 2020 | ECCV | Soft Anchor-Point Object Detection. | Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides |
| 2020 | ICASSP | Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. | Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides |
| 2020 | ICASSP | Solving Missing-Annotation Object Detection with Background Recalibration Loss. | Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides |
| 2020 | WACV | MoBiNet: A Mobile Binary Network for Image Classification. | Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen |
| 2019 | AAAI | MEAL: Multi-Model Ensemble via Adversarial Learning. | Zhiqiang Shen, Zhankui He, Xiangyang Xue |
| 2019 | BMVC | Improving Object Detection from Scratch via Gated Feature Reuse. | Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogrio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides |
| 2019 | CVPR | Towards Instance-Level Image-To-Image Translation. | Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang |
| 2019 | ICLR | Transfer Learning for Sequences via Learning to Collocate. | Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang |
| 2018 | ECCV | TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. | Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang |
| 2018 | ICPR | Hybrid 3D Surface Description with Global Frames and Local Signatures of Histograms. | Zhiqiang Shen, Xin Ma, Xianglei Zeng |
| 2017 | CVPR | Weakly Supervised Dense Video Captioning. | Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue |
| 2017 | ICCV | Learning Efficient Convolutional Networks through Network Slimming. | Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang |
| 2017 | ICCV | DSOD: Learning Deeply Supervised Object Detectors from Scratch. | Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue |
| 2015 | ICCV | Multiple Granularity Descriptors for Fine-Grained Categorization. | Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang |