Shen, Zhiqiang

63 publications

ICLR 2025 $\gamma-$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

NeurIPS 2025 A Frustratingly Simple yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-Box Models of GPT-4.5/4o/o1 Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen

TMLR 2025 Bi-Mamba: Towards Accurate 1-Bit State Space Model Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen

NeurIPS 2025 CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qinfeng Li, Tianyue Luo, Xuhong Zhang, Yangfan Xie, Zhiqiang Shen, Lijun Zhang, Yier Jin, Hao Peng, Xinkui Zhao, XianWei Zhu, Jianwei Yin

CVPR 2025 DELT: A Simple Diversity-Driven EarlyLate Training for Dataset Distillation Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao

NeurIPS 2025 FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation Jiacheng Cui, Xinyue Bi, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen

NeurIPS 2025 Human Texts Are Outliers: Detecting LLM-Generated Texts via Out-of-Distribution Detection Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu

ICLR 2025 Learning Graph Invariance by Harnessing Spuriosity Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen

ICCV 2025 MosaicDiff: Training-Free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen

ICCV 2025 One Last Attention for Your Vision-Language Model Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

NeurIPS 2025 Open CaptchaWorld: A Comprehensive Web-Based Platform for Testing and Benchmarking Multimodal LLM Agents Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen

NeurIPS 2025 Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P. Xing, Zhiqiang Shen

ICML 2024 ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu

TMLR 2024 Dataset Distillation via Curriculum Data Synthesis in Large Data Era Zeyuan Yin, Zhiqiang Shen

NeurIPS 2024 Efficient LLM Jailbreak via Adaptive Dense-to-Sparse Constrained Optimization Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson

NeurIPS 2024 Elucidating the Design Space of Dataset Condensation Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen

ICML 2024 Empowering Graph Invariance Learning with Deep Spurious Infomax Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang

CVPR 2024 Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen

CVPRW 2024 I-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? Kevin Zhang, Zhiqiang Shen

ICLR 2024 Initializing Models with Larger Ones Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu

NeurIPS 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu

TMLR 2024 Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision Xijie Huang, Zhiqiang Shen, Pingcheng Dong, Kwang-Ting Cheng

AAAI 2024 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

NeurIPS 2024 Web2Code: A Large-Scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen

IJCAI 2023 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. Zaïane

AAAI 2023 Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao

ICML 2023 Dropout Reduces Underfitting Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell

ICCV 2023 FerKD: Surgical Label Adaptation for Efficient Distillation Zhiqiang Shen

ICCV 2023 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

ICCV 2023 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

CVPR 2023 PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou

CVPR 2023 PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan

ICCVW 2023 RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

NeurIPS 2023 Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale from a New Perspective Zeyuan Yin, Eric P. Xing, Zhiqiang Shen

ECCV 2022 A Fast Knowledge Distillation Framework for Visual Recognition Zhiqiang Shen, Eric Xing

ECCV 2022 Data-Free Neural Architecture Search via Recursive Label Calibration Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner

CVPR 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen

ICML 2022 SDQ: Stochastic Differentiable Quantization with Mixed Precision Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Hu Xianghong, Jeffry Wicaksana, Eric Xing, Kwang-Ting Cheng

ECCV 2022 Sliced Recursive Transformer Zhiqiang Shen, Zechun Liu, Eric Xing

AAAI 2022 Stereo Neural Vernier Caliper Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng

AAAI 2022 Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing

CVPR 2022 Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing

CVPRW 2021 "BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang

WACV 2021 Conditional Link Prediction of Category-Implicit Keypoint Detection Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen

ICCV 2021 Contrast and Order Representations for Video Self-Supervised Learning Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen

ICML 2021 How Do Adam and Training Strategies Help BNNs Optimization Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng

ICLR 2021 Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides

NeurIPSW 2021 Multi-Modal Self-Supervised Pre-Training for Large-Scale Genome Data Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Yanyan Lan, Zhiqiang Shen, Eric Xing

AAAI 2021 Partial Is Better than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

CVPR 2021 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

CVPR 2021 Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides

CVPR 2021 Unsupervised Disentanglement of Linear-Encoded Facial Semantics Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides

WACV 2020 MoBiNet: A Mobile Binary Network for Image Classification Hai Phan, Dang The Huynh, Yihui He, Marios Savvides, Zhiqiang Shen

ECCV 2020 Online Ensemble Model Compression Using Knowledge Distillation Devesh Walawalkar, Zhiqiang Shen, Marios Savvides

ECCV 2020 ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng

ECCV 2020 Soft Anchor-Point Object Detection Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides

AAAI 2019 MEAL: Multi-Model Ensemble via Adversarial Learning Zhiqiang Shen, Zhankui He, Xiangyang Xue

ICLR 2019 Transfer Learning for Sequences via Learning to Collocate Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang

ECCV 2018 TS2C: 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 Huang

ICCV 2017 DSOD: Learning Deeply Supervised Object Detectors from Scratch Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

ICCV 2017 Learning Efficient Convolutional Networks Through Network Slimming Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang

CVPR 2017 Weakly Supervised Dense Video Captioning Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue

ICCV 2015 Multiple Granularity Descriptors for Fine-Grained Categorization Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang