Liu, Xianglong

87 publications

AAAI 2025 AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin
ICLR 2025 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
NeurIPS 2025 Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text Zhange Zhang, Zhicheng Geng, Yuqing Ma, Tianbo Wang, Kai Lv, Xianglong Liu
IJCAI 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu
ICML 2025 DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu
NeurIPS 2025 Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing Yisong Xiao, Aishan Liu, Siyuan Liang, Zonghao Ying, Xianglong Liu, Dacheng Tao
CVPR 2025 Dual-View X-Ray Detection: Can AI Detect Prohibited Items from Dual-View X-Ray Images like Humans? Renshuai Tao, Haoyu Wang, Yuzhe Guo, Hairong Chen, Li Zhang, Xianglong Liu, Yunchao Wei, Yao Zhao
NeurIPS 2025 Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang Bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
NeurIPS 2025 Exploring Semantic-Constrained Adversarial Example with Instruction Uncertainty Reduction Jin Hu, Jiakai Wang, Linna Jing, Haolin Li, Haodong Liu, Haotong Qin, Aishan Liu, Ke Xu, Xianglong Liu
ICML 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang
CVPR 2025 Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu
ICML 2025 SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models Wei Huang, Haotong Qin, Yangdong Liu, Yawei Li, Qinshuo Liu, Xianglong Liu, Luca Benini, Michele Magno, Shiming Zhang, Xiaojuan Qi
ICML 2024 Accurate LoRA-Finetuning Quantization of LLMs via Information Retention Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno
NeurIPS 2024 BiDM: Pushing the Limit of Quantization for Diffusion Models Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
ICML 2024 BiLLM: Pushing the Limit of Post-Training Quantization for LLMs Wei Huang, Yangdong Liu, Haotong Qin, Ying Li, Shiming Zhang, Xianglong Liu, Michele Magno, Xiaojuan Qi
NeurIPSW 2024 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno
ICLR 2024 Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
ICML 2024 Compressing Large Language Models by Joint Sparsification and Quantization Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu
AAAI 2024 Fast and Controllable Post-Training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
ICML 2024 Flexible Residual Binarization for Image Super-Resolution Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu
NeurIPS 2024 IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng, Hongzhi Wang, Xianglong Liu
NeurIPS 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
CVPR 2024 LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo
CVPR 2024 NAPGuard: Towards Detecting Naturalistic Adversarial Patches Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu
CVPR 2024 PTQ4SAM: Post-Training Quantization for Segment Anything Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu
CVPR 2024 Reg-PTQ: Regression-Specialized Post-Training Quantization for Fully Quantized Object Detector Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu
CVPR 2024 Scene-Adaptive and Region-Aware Multi-Modal Prompt for Open Vocabulary Object Detection Xiaowei Zhao, Xianglong Liu, Duorui Wang, Yajun Gao, Zhide Liu
AAAI 2024 Selective Focus: Investigating Semantics Sensitivity in Post-Training Quantization for Lane Detection Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu
CVPR 2024 TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu
IJCAI 2024 Vision-Fused Attack: Advancing Aggressive and Stealthy Adversarial Text Against Neural Machine Translation Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu
CVPR 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu
ICML 2023 BiBench: Benchmarking and Analyzing Network Binarization Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu
NeurIPS 2023 BiMatting: Efficient Video Matting via Binarization Haotong Qin, Lei Ke, Xudong Ma, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Xianglong Liu, Fisher Yu
CVPR 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao
AAAI 2023 Improving Robust Fariness via Balance Adversarial Training Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu
NeurIPS 2023 QuantSR: Accurate Low-Bit Quantization for Efficient Image Super-Resolution Haotong Qin, Yulun Zhang, Yifu Ding, Yifan Liu, Xianglong Liu, Martin Danelljan, Fisher Yu
CVPR 2023 Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu
ICLR 2022 BiBERT: Accurate Fully Binarized BERT Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
IJCAI 2022 BiFSMN: Binary Neural Network for Keyword Spotting Haotong Qin, Xudong Ma, Yifu Ding, Xiaoyang Li, Yang Zhang, Yao Tian, Zejun Ma, Jie Luo, Xianglong Liu
CVPR 2022 Defensive Patches for Robust Recognition in the Physical World Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao
CVPR 2022 Delving Deep into the Generalization of Vision Transformers Under Distribution Shifts Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu
CVPR 2022 Delving into the Estimation Shift of Batch Normalization in a Network Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu
CVPR 2022 Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression Network Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu
ECCV 2022 Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song
NeurIPS 2022 Outlier Suppression: Pushing the Limit of Low-Bit Transformer Language Models Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
CVPR 2022 Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song
ICLR 2022 QDrop: Randomly Dropping Quantization for Extremely Low-Bit Post-Training Quantization Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu
ECCV 2022 Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu
ICLR 2021 BiPointNet: Binary Neural Network for Point Clouds Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
CVPR 2021 Diversifying Sample Generation for Accurate Data-Free Quantization Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu
CVPR 2021 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu
WACV 2021 Hierarchical Generative Adversarial Networks for Single Image Super-Resolution Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan
AAAI 2021 Stratified Rule-Aware Network for Abstract Visual Reasoning Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai
ICCV 2021 Towards Real-World Prohibited Item Detection: A Large-Scale X-Ray Benchmark Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu
ICCV 2021 Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu
ECCV 2020 Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu
IJCAI 2020 Few-Shot Visual Learning with Contextual Memory and Fine-Grained Calibration Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
AAAI 2020 Graph Attention Based Proposal 3D ConvNets for Action Detection Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song
ECCV 2020 Patch-Wise Attack for Fooling Deep Neural Network Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen
ECCV 2020 Spatiotemporal Attacks for Embodied Agents Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao
AISTATS 2020 Stein Variational Inference for Discrete Distributions Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu
IJCAI 2020 Transductive Relation-Propagation Network for Few-Shot Learning Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
AAAI 2019 Beyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan
IJCAI 2019 Coarse-to-Fine Image Inpainting via Region-Wise Convolutions and Non-Local Correlation Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He, Aishan Liu
AAAI 2019 Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
AAAI 2019 Deliberate Attention Networks for Image Captioning Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen
IJCAI 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu
IJCAI 2019 Latent Distribution Preserving Deep Subspace Clustering Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock
AAAI 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao
IJCAI 2018 Complementary Binary Quantization for Joint Multiple Indexing Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng
IJCAI 2018 Deep Joint Semantic-Embedding Hashing Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao
AAAI 2018 Dictionary Learning in Optimal Metric Space Jiexi Yan, Cheng Deng, Xianglong Liu
IJCAI 2018 Dual Conditional GANs for Face Aging and Rejuvenation Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen
AAAI 2018 New L2, 1-Norm Relaxation of Multi-Way Graph Cut for Clustering Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie
AAAI 2018 Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks Lei Huang, Xianglong Liu, Bo Lang, Adams Wei Yu, Yongliang Wang, Bo Li
IJCAI 2018 Progressive Generative Hashing for Image Retrieval Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
AAAI 2017 Boosting Complementary Hash Tables for Fast Nearest Neighbor Search Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li
ICCV 2017 Centered Weight Normalization in Accelerating Training of Deep Neural Networks Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao
CVPR 2017 Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao
IJCAI 2017 Multi-Class Support Vector Machine via Maximizing Multi-Class Margins Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang
AAAI 2017 Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao
CVPR 2016 Multilinear Hyperplane Hashing Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao
ICCV 2015 Multi-View Complementary Hash Tables for Nearest Neighbor Search Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang
CVPR 2014 Collaborative Hashing Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang
CVPR 2013 Hash Bit Selection: A Unified Solution for Selection Problems in Hashing Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang
AAAI 2013 Reciprocal Hash Tables for Nearest Neighbor Search Xianglong Liu, Junfeng He, Bo Lang
CVPR 2012 Mobile Product Search with Bag of Hash Bits and Boundary Reranking Junfeng He, Jinyuan Feng, Xianglong Liu, Tao Cheng, Tai-Hsu Lin, Hyunjin Chung, Shih-Fu Chang