| 2026 | AAAI | LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation. | Junyang Chen, Xiangbo Lv, Zhiqiang Kou, Xingdong Sheng, Ning Xu, Yiguo Qiao |
| 2026 | ASPDAC | Φ-BO: Physics-Informed Bayesian Optimization for Multi-Port Decoupling Capacitor Placement in 2.5-D Chiplets. | Quansen Wang, Yuchuan Lin, Zhuohua Liu, Wei Xing, Wei Zhang, Ning Xu, Yuanqing Cheng |
| 2026 | WCNC | Semantic Communication-Enabled Cooperative BEV Semantic Segmentation Frame in Internet of Vehicles. | Ning Xu, Puning Zhang, Lekang Ye, Guangqian Wang |
| 2025 | CVPR | SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity. | Yijie Xu, Bolun Zheng, Wei Zhu, Hangjia Pan, Yuchen Yao, Ning Xu, Anan Liu, Quan Zhang, Chenggang Yan |
| 2025 | DAC | BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models. | Xiaomeng Han, Yuan Cheng, Jing Wang, Junyang Lu, Hui Wang, X. x. Zhang, Ning Xu, Dawei Yang, Zhe Jiang |
| 2025 | DATE | SACPlace: Multi-Agent Deep Reinforcement Learning for Symmetry-Aware Analog Circuit Placement. | Lei Cai, Guojing Ge, Guibo Zhu, Jixin Zhang, Jinqiao Wang, Bowen Jia, Ning Xu |
| 2025 | ICA3PP | JAFC: Job-Aware Flow Control for Distributed DNN Training. | Siyan Pan, Xiaobin Tan, Tiance Li, Yingying Zeng, Ning Xu, Feng Yang |
| 2025 | ICASSP | Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist. | Ning Xu, Christopher M. Foster, Jonathan H. Manton |
| 2025 | ICCAD | MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs. | Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen, Chengjie Liu, Yi Liu, Yunhao Zhou, Yuxiang Zhao, Hefei Feng, Yinan Zhu, Gwok-Waa Wan, Xin Cheng, Weiyu Chen, Yongqi Fu, Chujie Chen, Chenhao Xue, Ying Wang, Yibo Lin, Jun Yang, Ning Xu, Xi Wang, Qiang Xu |
| 2025 | ICLR | Selective Label Enhancement Learning for Test-Time Adaptation. | Yihao Hu, Congyu Qiao, Xin Geng, Ning Xu |
| 2025 | ICML | Progressively Label Enhancement for Large Language Model Alignment. | Biao Liu, Ning Xu, Xin Geng |
| 2025 | UAI | VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning. | Jie Wang, Ning Xu, Xin Geng |
| 2024 | ADMA | RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. | Yihao Sun, Tianming Du, Hongzan Sun, Jian Xu, Md Mamunur Rahaman, Xinghao Wang, Xinyu Huang, Tao Jiang, Marcin Grzegorzek, Ning Xu, Chen Li |
| 2024 | ADMA | RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. | Shuai Ye, Tianming Du, Frank Kulwa, Xiangyu Meng, Md Mamunur Rahaman, Marcin Grzegorzek, Ning Xu, Tao Jiang, Hongzan Sun, Chen Li |
| 2024 | ADMA | MRes-CNN: A Multi-branch Residual CNN for Colorectal Histopathological Image Classification. | Lingling Yuan, Md Mamunur Rahaman, Hongzan Sun, Xiaoyan Li, Marcin Grzegorzek, Ning Xu, Chen Li |
| 2024 | ASPDAC | Variational Label-Correlation Enhancement for Congestion Prediction. | Biao Liu, Congyu Qiao, Ning Xu, Xin Geng, Ziran Zhu, Jun Yang |
| 2024 | ASPDAC | BoCNT: A Bayesian Optimization Framework for Global CNT Interconnect Optimization. | Hang Wu, Ning Xu, Wei W. Xing, Yuanqing Cheng |
| 2024 | CVPR | Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models. | Samuel M. Bateman, Ning Xu, H. Charles Zhao, Yael Ben Shalom, Vince Gong, Greg Long, Will Maddern |
| 2024 | ECCV | LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation. | Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu |
| 2024 | HPCC | dotPS: Disorder Tolerant Load Balancing Scheme for Datacenter Network. | Chenzhao Huang, Xiaobin Tan, Shenzhi Yuan, Ning Xu, Weifeng Wang, Shiyin Zhu |
| 2024 | ICML | Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning. | Ning Xu, Yihao Hu, Congyu Qiao, Xin Geng |
| 2024 | ICML | Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning. | Biao Liu, Ning Xu, Xiangyu Fang, Xin Geng |
| 2024 | ICML | Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. | Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu |
| 2024 | ICML | ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision. | Congyu Qiao, Ning Xu, Yihao Hu, Xin Geng |
| 2024 | VTC | Performance Analysis of Acoustic RIS-Assisted Wireless Underwater Communications. | Yangzhe Liao, Ningna Zhai, Yuanyan Song, Han Wang, Yi Han, Ning Xu |
| 2024 | WACV | Latent-Guided Exemplar-Based Image Re-Colorization. | Wenjie Yang, Ning Xu, Yifei Fan |
| 2023 | AAAI | Imbalanced Label Distribution Learning. | Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng |
| 2023 | AAAI | FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning. | Haiyun Li, Jixin Zhang, Ning Xu, Mingyu Liu |
| 2023 | CEC | A Surrogate-Ensemble Assisted Coevolutionary Algorithm for Expensive Constrained Multi-Objective Optimization Problems. | Wenji Li, Ruitao Mai, Pengxiang Ren, Zhaojun Wang, Qinchang Zhang, Ning Xu, Biao Xu, Zhun Fan, Zhifeng Hao |
| 2023 | CVPR | Towards Effective Visual Representations for Partial-Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng |
| 2023 | DAC | TOTAL: Multi-Corners Timing Optimization Based on Transfer and Active Learning. | Wei W. Xing, Zheng Xing, Rongqi Lu, Zhelong Wang, Ning Xu, Yuanqing Cheng, Weisheng Zhao |
| 2023 | ICLR | Decompositional Generation Process for Instance-Dependent Partial Label Learning. | Congyu Qiao, Ning Xu, Xin Geng |
| 2023 | ICML | Progressive Purification for Instance-Dependent Partial Label Learning. | Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng |
| 2023 | ICML | Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. | Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng |
| 2023 | ICML | FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. | Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng |
| 2023 | IJCAI | Unreliable Partial Label Learning with Recursive Separation. | Yu Shi, Ning Xu, Hua Yuan, Xin Geng |
| 2023 | WACV | TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation. | Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang |
| 2022 | AAAI | Learngene: From Open-World to Your Learning Task. | Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu |
| 2022 | AAAI | Hierarchical Image Generation via Transformer-Based Sequential Patch Selection. | Xiaogang Xu, Ning Xu |
| 2022 | ACL | Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text. | Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, Thien Huu Nguyen |
| 2022 | CVPR | SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing. | Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu |
| 2022 | CVPR | Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. | Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma |
| 2022 | ECCV | Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. | Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo |
| 2022 | GECCO | Policy network for solving flexible job shop scheduling problem with setup times and rescoure constraints. | Ning Xu, Tian-Ming Bu |
| 2022 | IJCAI | Fusion Label Enhancement for Multi-Label Learning. | Xingyu Zhao, Yuexuan An, Ning Xu, Xin Geng |
| 2022 | IJCAI | Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng |
| 2021 | AAAI | High-Resolution Deep Image Matting. | Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi |
| 2021 | CVPR | Learning by Planning: Language-Guided Global Image Editing. | Jing Shi, Ning Xu, Yihang Xu, Trung Bui, Franck Dernoncourt, Chenliang Xu |
| 2021 | CVPR | Mask Guided Matting via Progressive Refinement Network. | Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille |
| 2021 | EMNLP | Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations. | Anan Liu, Ning Xu, Haozhe Liu |
| 2021 | FDG | Learning Through Play; a Study Investigating How Effective Video Games Can Be Regarding Keyboard Education at a Beginner Level. | Jack Brett, Christos Gatzidis, Tom Davis, Panos Amelidis, Ning Xu, Toby Gladwell |
| 2021 | ICCV | A Simple Baseline for Weakly-Supervised Scene Graph Generation. | Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu |
| 2021 | ICCV | Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism. | Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu |
| 2021 | ICCV | End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks. | Tao Wang, Ning Xu, Kean Chen, Weiyao Lin |
| 2021 | IJCAI | Video Summarization via Label Distributions Dual-Reward. | Yongbiao Gao, Ning Xu, Xin Geng |
| 2021 | WCNC | Distributed Incentives and Digital Twin for Resource Allocation in air-assisted Internet of Vehicles. | Peng Wang, Ning Xu, Wen Sun, Gaozu Wang, Yan Zhang |
| 2021 | VCIP | DCTResNet: Transform Domain Image Deblocking for Motion Blur Images. | Paras Maharjan, Ning Xu, Xuan Xu, Yuyan Song, Zhu Li |
| 2020 | AAAI | Partial Multi-Label Learning with Label Distribution. | Ning Xu, Yun-Peng Liu, Xin Geng |
| 2020 | AAAI | Channel Attention Is All You Need for Video Frame Interpolation. | Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, Kyoung Mu Lee |
| 2020 | AAAI | Finding Action Tubes with a Sparse-to-Dense Framework. | Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Limin Wang, Shugong Xu |
| 2020 | ACCV | A Benchmark and Baseline for Language-Driven Image Editing. | Jing Shi, Ning Xu, Trung Bui, Franck Dernoncourt, Zheng Wen, Chenliang Xu |
| 2020 | ACCV | Spatial Class Distribution Shift in Unsupervised Domain Adaptation: Local Alignment Comes to Rescue. | Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto |
| 2020 | BMVC | M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation. | Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis |
| 2020 | CVPR | AOWS: Adaptive and Optimal Network Width Search With Latency Constraints. | Maxim Berman, Leonid Pishchulin, Ning Xu, Matthew B. Blaschko, Grard G. Medioni |
| 2020 | ECCV | Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation. | Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang |
| 2020 | ECCV | Disentangled Image Generation for Unsupervised Domain Adaptation. | Safa Cicek, Ning Xu, Zhaowen Wang, Hailin Jin, Stefano Soatto |
| 2020 | ECCV | CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization. | Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Yan Ke, Cong Yang |
| 2020 | ECCV | Multiple Sound Sources Localization from Coarse to Fine. | Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin |
| 2020 | ICASSP | A Study on the Transferability of Adversarial Attacks in Sound Event Classification. | Vinod Subramanian, Arjun Pankajakshan, Emmanouil Benetos, Ning Xu, SKoT McDonald, Mark B. Sandler |
| 2020 | ICLR | Minimizing FLOPs to Learn Efficient Sparse Representations. | Biswajit Paria, Chih-Kuan Yeh, Ian En-Hsu Yen, Ning Xu, Pradeep Ravikumar, Barnabs Pczos |
| 2020 | ICML | Variational Label Enhancement. | Ning Xu, Jun Shu, Yun-Peng Liu, Xin Geng |
| 2020 | IGARSS | A Geometric view of Fast Gram Determinant-Based Endmember Extraction Algorithm for Hyperspectral Imagery. | Ning Xu, Yuxin Hu, Xiurui Geng, Yanan Wang |
| 2020 | IJCAI | Label Distribution for Learning with Noisy Labels. | Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng |
| 2020 | IJCAI | Video Question Answering on Screencast Tutorials. | Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin |
| 2019 | AAAI | Partial Label Learning via Label Enhancement. | Ning Xu, Jiaqi Lv, Xin Geng |
| 2019 | CVPR | Streamlined Dense Video Captioning. | Jonghwan Mun, Linjie Yang, Zhou Ren, Ning Xu, Bohyung Han |
| 2019 | CVPR | End-To-End Time-Lapse Video Synthesis From a Single Outdoor Image. | Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim |
| 2019 | CVPR | Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. | Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim |
| 2019 | CVPR | EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. | Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran |
| 2019 | ICCV | Large-Scale Tag-Based Font Retrieval With Generative Feature Learning. | Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo |
| 2019 | ICCV | Video Object Segmentation Using Space-Time Memory Networks. | Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim |
| 2019 | ICCV | Video Instance Segmentation. | Linjie Yang, Yuchen Fan, Ning Xu |
| 2019 | ICCV | Controllable Artistic Text Style Transfer via Shape-Matching GAN. | Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo |
| 2019 | ICCV | Temporal Structure Mining for Weakly Supervised Action Detection. | Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu, Junsong Yuan |
| 2019 | ICCV | An Internal Learning Approach to Video Inpainting. | Haotian Zhang, Long Mai, Hailin Jin, Zhaowen Wang, Ning Xu, John P. Collomosse |
| 2019 | ICLR | Slimmable Neural Networks. | Jiahui Yu, Linjie Yang, Ning Xu, Jianchao Yang, Thomas S. Huang |
| 2019 | IJCAI | Weakly Supervised Multi-Label Learning via Label Enhancement. | Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng |
| 2018 | ECCV | YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. | Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang |
| 2018 | ICDM | Multi-label Learning with Label Enhancement. | Ruifeng Shao, Ning Xu, Xin Geng |
| 2018 | ICIP | A Hybrid Neural Network for Chroma Intra Prediction. | Yue Li, Li Li, Zhu Li, Jianchao Yang, Ning Xu, Dong Liu, Houqiang Li |
| 2018 | ICLR | 3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. | Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang |
| 2018 | ICML | WSNet: Compact and Efficient Networks Through Weight Sampling. | Xiaojie Jin, Yingzhen Yang, Ning Xu, Jianchao Yang, Nebojsa Jojic, Jiashi Feng, Shuicheng Yan |
| 2018 | IJCAI | Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. | Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang |
| 2018 | IJCAI | Label Enhancement for Label Distribution Learning. | Ning Xu, An Tao, Xin Geng |
| 2018 | Interspeech | Filter Sampling and Combination CNN (FSC-CNN): A Compact CNN Model for Small-footprint ASR Acoustic Modeling Using Raw Waveforms. | Jinxi Guo, Ning Xu, Xin Chen, Yang Shi, Kaiyuan Xu, Abeer Alwan |
| 2018 | PRICAI | Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace. | An Tao, Ning Xu, Xin Geng |
| 2018 | WWW | User Type Affinity Estimation Using Gamma-Poisson Model. | Fei Wu, Yanen Li, Ning Xu |
| 2017 | BMVC | Deep GrabCut for Object Selection. | Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang |
| 2017 | CVPR | Deep Image Matting. | Ning Xu, Brian L. Price, Scott Cohen, Thomas S. Huang |
| 2017 | DASFAA | StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System. | Jiawei Jiang, Zhipeng Zhang, Bin Cui, Yunhai Tong, Ning Xu |
| 2017 | IGARSS | Applying chirp-modulated back-projection to very high resolution spaceborne sliding spotlight SAR data processing. | Dadi Meng, Chibiao Ding, Donghui Hu, Ning Xu |
| 2017 | Interspeech | Attention Based CLDNNs for Short-Duration Acoustic Scene Classification. | Jinxi Guo, Ning Xu, Li-Jia Li, Abeer Alwan |
| 2017 | VCIP | Quantitative evaluation for dehazing algorithms on synthetic outdoor hazy dataset. | Yufei Li, Keyan Wang, Ning Xu, Yunsong Li |
| 2016 | CVPR | Deep Interactive Object Selection. | Ning Xu, Brian L. Price, Scott Cohen, Jimei Yang, Thomas S. Huang |
| 2016 | HSI | An interactive training system of motor learning by imitation and speech instructions for children with autism. | Xiaofeng Liu, Xu Zhou, Ce Liu, Jianmin Wang, Xiaoqin Zhou, Ning Xu, Aimin Jiang |
| 2016 | ISCAS | IIR digital filter design by partial second-order factorization and iterative WLS approach. | Aimin Jiang, Hon Keung Kwan, Yanping Zhu, Ning Xu, Xiaofeng Liu |
| 2015 | ICIG | Recognition of In-air Handwritten Chinese Character Based on Leap Motion Controller. | Ning Xu, Weiqiang Wang, Xiwen Qu |
| 2015 | ICIP | In-air handwritten Chinese character recognition using multi-stage classifier based on adaptive discriminative locality alignment. | Xiwen Qu, Weiqiang Wang, Ke Lu, Ning Xu |
| 2015 | ISCAS | IIR filter design with novel stability condition. | Aimin Jiang, Hon Keung Kwan, Xiaofeng Liu, Ning Xu, Yibin Tang, Yanping Zhu |
| 2015 | MVA | Similar handwritten Chinese character recognition based on adaptive discriminative locality alignment. | Xiwen Qu, Ning Xu, Weiqiang Wang, Ke Lu |
| 2015 | VCIP | Image denoising via sparse approximation using eigenvectors of graph Laplacian. | Yibin Tang, Ying Chen, Ning Xu, Aimin Jiang, Yuan Gao |
| 2014 | ICARCV | Improved analysis of a multirobot graph exploration strategy. | Peter Brass, Ivo Vigan, Ning Xu |
| 2014 | WWW | Fine-grained data partitioning framework for distributed database systems. | Ning Xu |
| 2014 | SIGMOD | Parallel subgraph listing in a large-scale graph. | Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu |
| 2013 | ISCAS | Image denoising via Graph regularized K-SVD. | Yibin Tang, Yuan Shen, Aimin Jiang, Ning Xu, Changping Zhu |
| 2013 | WWW | Co-training and visualizing sentiment evolvement for tweet events. | Shenghua Liu, Wenjun Zhu, Ning Xu, Fangtao Li, Xueqi Cheng, Yue Liu, Yuanzhuo Wang |
| 2012 | GLOBECOM | Block relay for physical-layer network coding. | Ning Xu, Shengli Fu, Dong Wang, Yabo Li |
| 2011 | ICMLC | A comparison of sensitivity definitions based on expectation and variance. | Ning Xu, Chun-Guo Li |
| 2011 | ISCAS | A new network-based algorithm for multi-camera abnormal activity detection. | Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang Li, Ning Xu, Jun Xie, Yan Li |
| 2011 | ISCAS | A new Temporal-Constraint-Based algorithm by handling temporal qualities for video enhancement. | Jun Xie, Weiyao Lin, Hongxiang Li, Ning Xu, Hongyu Gao, Lining Zhang |
| 2011 | VCIP | A new global-based video enhancement algorithm by fusing features of multiple region-of-interests. | Ning Xu, Weiyao Lin, Yu Zhou, Yuanzhe Chen, Zhenzhong Chen, Hongxiang Li |
| 2010 | ASPDAC | PS-FPG: pattern selection based co-design of floorplan and power/ground network with wiring resource optimization. | Li Li, Yuchun Ma, Ning Xu, Yu Wang, Xianlong Hong |
| 2010 | CCS | Attacks and design of image recognition CAPTCHAs. | Bin B. Zhu, Jeff Yan, Qiujie Li, Chao Yang, Jia Liu, Ning Xu, Meng Yi, Kaiwei Cai |
| 2009 | ICASSP | A semi-blind EM algorithm for overcomplete ICA. | Qiu-Hua Lin, Ning Xu, Hualou Liang |
| 2009 | ICNC | Modeling Articulatory Movements for Voice Conversion Using State-Space Model. | Ning Xu, Zhen Yang, Wei-Ping Zhu |
| 2008 | VTC | Inter-Cell Interference Modeling for OFDMA Systems with Beamforming. | Yongquan Qiang, Guillaume Vivier, Jin Yang, Ning Xu |
| 2008 | VTC | A Dynamic PF Scheduler to Improve the Cell Edge Performance. | Ning Xu, Guillaume Vivier, Wen Zhou, Yongquan Qiang |
| 2008 | SNPD | A Novel Voice Morphing System Using Bi-GMM for High Quality Transformation. | Ning Xu, Xi Shao, Zhen Yang |
| 2007 | ICCS | The Geometry Optimization of Argon Atom Clusters Using Differential Evolution Algorithm. | Yongxiang Zhao, Shengwu Xiong, Ning Xu |
| 2007 | ICNC | Underdetermined Blind Extraction of Sparse Sources Using Prior Information. | Ning Xu, Qiu-Hua Lin |
| 2006 | VTC | A MC-GMR Scheduler for Shared Data Channel in 3GPP LTE System. | Ning Xu, Ting Zou, Ying Wang, Ping Zhang |
| 2006 | UAI | Propagation of Delays in the National Airspace System. | Kathryn B. Laskey, Ning Xu, Chun-Hung Chen |
| 2005 | CVPR | Videoshop: A New Framework for Spatio-Temporal Video Editing in Gradient Domain. | Hongcheng Wang, Ning Xu, Ramesh Raskar, Narendra Ahuja |
| 2004 | CVPR | Recovering Shape and Reflectance Model of Non-Lambertian Objects from Multiple Views. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2004 | ECCV | Shape and View Independent Reflectance Map from Multiple Views. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2004 | ICPR | Generating Omnifocus Images Using Graph Cuts and a New Focus Measure. | Ning Xu, Kar-Han Tan, Himanshu Arora, Narendra Ahuja |
| 2004 | ICPR | Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time. | Tian-Li Yu, Ning Xu, Narendra Ahuja |
| 2004 | SENSYS | A wireless sensor network For structural monitoring. | Ning Xu, Sumit Rangwala, Krishna Kant Chintalapudi, Deepak Ganesan, Alan Broad, Ramesh Govindan, Deborah Estrin |
| 2003 | CVPR | Object Segmentation Using Graph Cuts Based Active Contours. | Ning Xu, Ravi Bansal, Narendra Ahuja |
| 2002 | ICIP | Object contour tracking using graph cuts based active contours. | Ning Xu, Narendra Ahuja |
| 1988 | MVA | A Special Pilpeline Architecture for Morphologic Image Analysis and Its Application in Fast Thining of Character. | Xiaofei Huang, Xiaoqing Ding, Ning Xu, Youshou Wu |