Xianglong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
128
Venues
28
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*CVPR29 papers
- A*AAAI21 papers
- A*IJCAI13 papers
- A*ACL12 papers
- A*ICML8 papers
- A*ICCV7 papers
- A*ICLR5 papers
- A*ECCV5 papers
- A*EMNLP4 papers
- BICPR3 papers
- A*WWW2 papers
- MulticonferenceICASSP2 papers
- A*ICDM2 papers
- A*ASPLOS1 paper
- A*ICDE1 paper
- A*ICSE1 paper
- A*SP1 paper
- CFIE1 paper
- AISSRE1 paper
- AISSTA1 paper
- A*CCS1 paper
- AWACV1 paper
- AAISTATS1 paper
- AIROS1 paper
- BICONIP1 paper
- AECAI1 paper
- CFedCSIS1 paper
- CMOMM1 paper
Papers
128 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. | Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu |
| 2026 | AAAI | Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models. | Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu |
| 2026 | AAAI | Query-Routed Activation Editing with Truth-hierarchical Preference Optimization. | Kewei Liao, Tianbo Wang, Yuqing Ma, Zhange Zhang, Zhicheng Geng, Xiaowei Zhao, Jiakai Wang, Xianglong Liu |
| 2026 | AAAI | Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles. | Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu |
| 2026 | AAAI | First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. | Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu |
| 2026 | ACL | Half-S: Halving the Scale for Near-Lossless 4-Bit LLM Training. | Jinyang Du, Ruihao Gong, Linghan Ai, Zining Wang, Yunke Peng, Yao Wang, Lei Yan, Xuefei Wang, Yaoyuan Wang, Jinyang Guo, Dahua Lin, Xianglong Liu |
| 2026 | ACL | FrontCoder: Scaling Visual Fidelity in Front-End Code Generation. | Jun Feng, Jian Yang, Wei Zhang, Jing Wang, Keyi Chen, Xiaokun Yang, Weicheng Gu, Yihang Lou, Yan Bai, Xianglong Liu |
| 2026 | ACL | Context as a Tool: Context Management for Long-Horizon SWE-Agents. | Shukai Liu, Bo Jiang, Jian Yang, Yizhi Li, Jinyang Guo, Xianglong Liu, Bryan Dai |
| 2026 | ACL | UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models. | Jiajun Wu, Jian Yang, Wei Zhang, Linzheng Chai, Yuchi Ma, Ensheng Shi, Yuqing Ma, Zhoujun Li, Xianglong Liu |
| 2026 | ACL | Scaling Laws for Code: Every Programming Language Matters. | Jian Yang, Shuyue Guo, Linzheng Chai, Wei Zhang, Aishan Liu, Chuan Hao, Zhoujun Li, Xin Zhao, Xianglong Liu, Weifeng Lv, Bryan Dai |
| 2026 | ACL | LoopCoder: Scaling Code Intelligence via Looped Language Models. | Jian Yang, Wei Zhang, Shuyue Guo, Yizhi LI, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai |
| 2026 | ACL | SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents. | Zonghao Ying, Yangguang Shao, Jianle Gan, Gan Xu, Wenxin Zhang, Quanchen Zou, Junzheng Shi, Zhenfei Yin, Mingchuan Zhang, Aishan Liu, Xianglong Liu |
| 2026 | ACL | Uncovering Strategic Egoism Behaviors in Large Language Models. | Yaoyuan Zhang, Zonghao Ying, Aishan Liu, Jian Yang, Tianlin Li, Yaodong Yang, Xianglong Liu |
| 2026 | WWW | CASE: Conflict-assessed Knowledge-sensitive Neuron Tuning for Lifelong Model Editing. | Zhange Zhang, Yuqing Ma, Yulong Wang, Tianbo Wang, Jiakai Wang, Simin Li, Xianglong Liu |
| 2025 | AAAI | 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 |
| 2025 | ACL | Dynamic Parallel Tree Search for Efficient LLM Reasoning. | Yifu Ding, Wentao Jiang, Shunyu Liu, Yongcheng Jing, Jinyang Guo, Yingjie Wang, Jing Zhang, Zengmao Wang, Ziwei Liu, Bo Du, Xianglong Liu, Dacheng Tao |
| 2025 | ACL | Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation. | Zhange Zhang, Yuqing Ma, Yulong Wang, Shan He, Tianbo Wang, Siqi He, Jiakai Wang, Xianglong Liu |
| 2025 | ASPLOS | Past-Future Scheduler for LLM Serving under SLA Guarantees. | Ruihao Gong, Shihao Bai, Siyu Wu, Yunqian Fan, Zaijun Wang, Xiuhong Li, Hailong Yang, Xianglong Liu |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization. | Long Xu, Jiakai Wang, Haojie Hao, Haotong Qin, Jiejie Zhao, Xianglong Liu |
| 2025 | EMNLP | Token-Aware Editing of Internal Activations for Large Language Model Alignment. | Tianbo Wang, Yuqing Ma, Kewei Liao, Chengzhao Yang, Zhange Zhang, Jiakai Wang, Xianglong Liu |
| 2025 | EMNLP | Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models. | Zonghao Ying, Deyue Zhang, Zonglei Jing, Yisong Xiao, Quanchen Zou, Aishan Liu, Siyuan Liang, Xiangzheng Zhang, Xianglong Liu, Dacheng Tao |
| 2025 | ICASSP | Generating Targeted Universal Adversarial Perturbation against Automatic Speech Recognition via Phoneme Tailoring. | Yujun Zhang, Yanqu Chen, Jiakai Wang, Jin Hu, Renshuai Tao, Xianglong Liu |
| 2025 | ICCV | ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. | Jinyang Guo, Zhenghao Chen, Yuqing Ma, Yifu Ding, Xianglong Liu, Jinman Kim, Wanli Ouyang, Dacheng Tao |
| 2025 | ICDE | TempSched: A Temperature-Aware Storage Scheduler for Time Series Across Cloud-Edge-Device. | Shuangshuang Cui, Hongzhi Wang, Xianglong Liu, Xiaoou Ding |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. | Changyi He, Yifu Ding, Jinyang Guo, Ruihao Gong, Haotong Qin, Xianglong Liu |
| 2025 | ICML | 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 |
| 2025 | IJCAI | Continuous Diffusive Prediction Network for Multi-Station Weather Prediction. | Chujie Xu, Yuqing Ma, Haoyuan Deng, Yajun Gao, Yudie Wang, Kai Lv, Xianglong Liu |
| 2025 | ICSE | BDefects4NN: A Backdoor Defect Database for Controlled Localization Studies in Neural Networks. | Yisong Xiao, Aishan Liu, Xinwei Zhang, Tianyuan Zhang, Tianlin Li, Siyuan Liang, Xianglong Liu, Yang Liu, Dacheng Tao |
| 2025 | WWW | Dual Intention Escape: Penetrating and Toxic Jailbreak Attack against Large Language Models. | Yanni Xue, Jiakai Wang, Zixin Yin, Yuqing Ma, Haotong Qin, Renshuai Tao, Xianglong Liu |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | DB-LLM: Accurate Dual-Binarization for Efficient LLMs. | Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao |
| 2024 | CVPR | Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. | Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu |
| 2024 | CVPR | TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models. | Yushi Huang, Ruihao Gong, Jing Liu, Tianlong Chen, Xianglong Liu |
| 2024 | CVPR | 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 |
| 2024 | CVPR | PTQ4SAM: Post-Training Quantization for Segment Anything. | Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu |
| 2024 | CVPR | NAPGuard: Towards Detecting Naturalistic Adversarial Patches. | Siyang Wu, Jiakai Wang, Jiejie Zhao, Yazhe Wang, Xianglong Liu |
| 2024 | CVPR | Scene-adaptive and Region-aware Multi-modal Prompt for Open Vocabulary Object Detection. | Xiaowei Zhao, Xianglong Liu, Duorui Wang, Yajun Gao, Zhide Liu |
| 2024 | EMNLP | LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit. | Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv, Yunchen Zhang, Dacheng Tao, Xianglong Liu |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | Flexible Residual Binarization for Image Super-Resolution. | Yulun Zhang, Haotong Qin, Zixiang Zhao, Xianglong Liu, Martin Danelljan, Fisher Yu |
| 2024 | IJCAI | 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 |
| 2024 | SP | Transferable Multimodal Attack on Vision-Language Pre-training Models. | Haodi Wang, Kai Dong, Zhilei Zhu, Haotong Qin, Aishan Liu, Xiaolin Fang, Jiakai Wang, Xianglong Liu |
| 2023 | AAAI | Improving Robust Fariness via Balance Adversarial Training. | Chunyu Sun, Chenye Xu, Chengyuan Yao, Siyuan Liang, Yichao Wu, Ding Liang, Xianglong Liu, Aishan Liu |
| 2023 | ACL | Adaptive Contrastive Knowledge Distillation for BERT Compression. | Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu |
| 2023 | CVPR | Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization. | Aishan Liu, Shiyu Tang, Siyuan Liang, Ruihao Gong, Boxi Wu, Xianglong Liu, Dacheng Tao |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Annealing-based Label-Transfer Learning for Open World Object Detection. | Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu |
| 2023 | EMNLP | Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. | Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu |
| 2023 | FIE | An innovative experimental teaching method of hardware-software co-design-Taking a hardware accelerator of neural network using FPGA. | Ying Li, Jingzhuo Liang, Gui Shi Jie, Yangdong Liu, Wei Huang, Yue Yan, Xianglong Liu |
| 2023 | ICML | BiBench: Benchmarking and Analyzing Network Binarization. | Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu |
| 2023 | ISSRE | PSCVFinder: A Prompt-Tuning Based Framework for Smart Contract Vulnerability Detection. | Lei Yu, Junyi Lu, Xianglong Liu, Li Yang, Fengjun Zhang, Jiajia Ma |
| 2023 | ISSTA | Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing. | Yisong Xiao, Aishan Liu, Tianlin Li, Xianglong Liu |
| 2022 | CCS | Harnessing Perceptual Adversarial Patches for Crowd Counting. | Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao |
| 2022 | CVPR | Delving into the Estimation Shift of Batch Normalization in a Network. | Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu |
| 2022 | CVPR | Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. | Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Frequency Domain Model Augmentation for Adversarial Attack. | Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song |
| 2022 | ECCV | 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 |
| 2022 | ICLR | BiBERT: Accurate Fully Binarized BERT. | Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua Yan, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu |
| 2022 | ICLR | QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization. | Xiuying Wei, Ruihao Gong, Yuhang Li, Xianglong Liu, Fengwei Yu |
| 2022 | IJCAI | 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 |
| 2021 | AAAI | Stratified Rule-Aware Network for Abstract Visual Reasoning. | Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai |
| 2021 | CVPR | Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. | Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu |
| 2021 | CVPR | 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 |
| 2021 | ICCV | 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 |
| 2021 | ICCV | Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. | Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu |
| 2021 | ICLR | BiPointNet: Binary Neural Network for Point Clouds. | Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su |
| 2021 | WACV | Hierarchical Generative Adversarial Networks for Single Image Super-Resolution. | Weimin Chen, Yuqing Ma, Xianglong Liu, Yi Yuan |
| 2020 | AAAI | Graph Attention Based Proposal 3D ConvNets for Action Detection. | Jin Li, Xianglong Liu, Zhuofan Zong, Wanru Zhao, Mingyuan Zhang, Jingkuan Song |
| 2020 | AISTATS | Stein Variational Inference for Discrete Distributions. | Jun Han, Fan Ding, Xianglong Liu, Lorenzo Torresani, Jian Peng, Qiang Liu |
| 2020 | CVPR | Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization. | Ruyi Ji, Longyin Wen, Libo Zhang, Dawei Du, Yanjun Wu, Chen Zhao, Xianglong Liu, Feiyue Huang |
| 2020 | CVPR | Forward and Backward Information Retention for Accurate Binary Neural Networks. | Haotong Qin, Ruihao Gong, Xianglong Liu, Mingzhu Shen, Ziran Wei, Fengwei Yu, Jingkuan Song |
| 2020 | CVPR | Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. | Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan |
| 2020 | CVPR | Learning Unseen Concepts via Hierarchical Decomposition and Composition. | Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao |
| 2020 | CVPR | Towards Unified INT8 Training for Convolutional Neural Network. | Feng Zhu, Ruihao Gong, Fengwei Yu, Xianglong Liu, Yanfei Wang, Zhelong Li, Xiuqi Yang, Junjie Yan |
| 2020 | ECCV | Patch-Wise Attack for Fooling Deep Neural Network. | Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen |
| 2020 | ECCV | Spatiotemporal Attacks for Embodied Agents. | Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao |
| 2020 | ECCV | Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out. | Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu |
| 2020 | ICASSP | Balanced Binary Neural Networks with Gated Residual. | Mingzhu Shen, Xianglong Liu, Ruihao Gong, Kai Han |
| 2020 | IJCAI | Transductive Relation-Propagation Network for Few-shot Learning. | Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu |
| 2020 | IJCAI | 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 |
| 2020 | ICPR | Hierarchical Deep Hashing for Fast Large Scale Image Retrieval. | Yongfei Zhang, Cheng Peng, Jingtao Zhang, Xianglong Liu, Shiliang Pu, Changhuai Chen |
| 2019 | AAAI | Deliberate Attention Networks for Image Captioning. | Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu, Heng Tao Shen |
| 2019 | AAAI | Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. | Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu |
| 2019 | AAAI | 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 |
| 2019 | AAAI | Perceptual-Sensitive GAN for Generating Adversarial Patches. | Aishan Liu, Xianglong Liu, Jiaxin Fan, Yuqing Ma, Anlan Zhang, Huiyuan Xie, Dacheng Tao |
| 2019 | ICCV | Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks. | Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu, Jiazhen Lin, Fengwei Yu, Junjie Yan |
| 2019 | ICCV | Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. | Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu |
| 2019 | ICDM | Dynamic Spatio-Temporal Feature Learning via Graph Convolution in 3D Convolutional Networks. | Jun Li, Xianglong Liu, Jun Xiao, Hainan Li, Shuo Wang, Liang Liu |
| 2019 | IJCAI | 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 |
| 2019 | IJCAI | Graph Convolutional Network Hashing for Cross-Modal Retrieval. | Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu |
| 2019 | IJCAI | Latent Distribution Preserving Deep Subspace Clustering. | Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock |
| 2019 | IROS | Fast and Incremental Loop Closure Detection Using Proximity Graphs. | Shan An, Guangfu Che, Fangru Zhou, Xianglong Liu, Xin Ma, Yu Chen |
| 2018 | AAAI | 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 |
| 2018 | AAAI | Dictionary Learning in Optimal Metric Space. | Jiexi Yan, Cheng Deng, Xianglong Liu |
| 2018 | AAAI | New l | Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie |
| 2018 | CVPR | Direct Shape Regression Networks for End-to-End Face Alignment. | Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang |
| 2018 | ICDM | Weighted Quantization and Hamming Search for Fast Image Super-Resolution. | Weimin Chen, Xianglong Liu |
| 2018 | IJCAI | Complementary Binary Quantization for Joint Multiple Indexing. | Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng |
| 2018 | IJCAI | Deep Joint Semantic-Embedding Hashing. | Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao |
| 2018 | IJCAI | Progressive Generative Hashing for Image Retrieval. | Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu |
| 2018 | IJCAI | Dual Conditional GANs for Face Aging and Rejuvenation. | Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen |
| 2017 | AAAI | Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. | Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li |
| 2017 | AAAI | Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. | Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
| 2017 | CVPR | Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval. | Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao |
| 2017 | ICCV | Centered Weight Normalization in Accelerating Training of Deep Neural Networks. | Lei Huang, Xianglong Liu, Yang Liu, Bo Lang, Dacheng Tao |
| 2017 | ICONIP | Large-Margin Supervised Hashing. | Xiaopeng Zhang, Hui Zhang, Yong Chen, Xianglong Liu |
| 2017 | IJCAI | Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. | Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang |
| 2016 | CVPR | Multilinear Hyperplane Hashing. | Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao |
| 2016 | ECAI | Adaptive Binary Quantization for Fast Nearest Neighbor Search. | Zhujin Li, Xianglong Liu, Junjie Wu, Hao Su |
| 2016 | ICPR | Efficient segmentation for Region-based Image Retrieval using Edge Integrated Minimum Spanning Tree. | Yang Liu, Lei Huang, Siqi Wang, Xianglong Liu, Bo Lang |
| 2015 | ICCV | Multi-View Complementary Hash Tables for Nearest Neighbor Search. | Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang |
| 2014 | CVPR | Collaborative Hashing. | Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang |
| 2014 | FedCSIS | Ontology-based Concept Similarity Integrating Image Semantic and Visual Information. | Mengyun Wang, Xianglong Liu, Lei Huang, Bo Lang, Hailiang Yu |
| 2013 | AAAI | Reciprocal Hash Tables for Nearest Neighbor Search. | Xianglong Liu, Junfeng He, Bo Lang |
| 2013 | CVPR | Hash Bit Selection: A Unified Solution for Selection Problems in Hashing. | Xianglong Liu, Junfeng He, Bo Lang, Shih-Fu Chang |
| 2013 | MOMM | Hash Bit Selection Using Markov Process for Approximate Nearest Neighbor Search. | Danchen Zhang, Xianglong Liu, Bo Lang |
| 2012 | CVPR | 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 |
| 2010 | ICPR | Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models. | Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baosong Shan |