| 2026 | AAAI | Controllable Financial Market Generation with Diffusion Guided Meta Agent. | Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian |
| 2026 | AAAI | Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization. | Zijian Wang, Yanxiang Ma, Chang Xu |
| 2026 | AAAI | Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning. | Yin Wu, Zhengxuan Zhang, Jiayu Chen, Chang Xu, Yuyu Luo, Nan Tang, Hui Xiong |
| 2026 | ACL | Mitigating Legal Hallucinations via Symbolic Constraints and Analogical Precedents. | Zixuan Huang, Yanxiang Ma, Luhan Wang, Yunke Wang, Duo Shi, Chang Xu |
| 2026 | ACL | AgentGC: Evolutionary Learning-based Lossless Compression for Genomics Data with LLM-driven Multiple Agent. | Hui Sun, Yanfeng Ding, Huidong Ma, Chang Xu, Keyan Jin, Lizheng Zu, Cheng Zhong, Xiaoguang Liu, Gang Wang, Wentong Cai |
| 2026 | FM | ModelWisdom: An Integrated Toolkit for TLA | Zhiyong Chen, Jialun Cao, Chang Xu, Shing-Chi Cheung |
| 2026 | ICDCS | ReCache: Cost-Efficient DNN Preprocessing on Edge Servers via Group-Based Data Reuse. | Chang Xu, Zhixiong Niu, Juan Fang, Qian Wang |
| 2026 | ICDE | Text2sql-Flow: a Robust Sql-Aware Data Augmentation Framework for Text-To-Sql. | Qifeng Cai, Hao Liang, Chang Xu, Tao Xie, Wentao Zhang, Bin Cui |
| 2025 | AAAI | WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. | Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu |
| 2025 | AAAI | TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. | Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian |
| 2025 | AAAI | Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. | Hefei Mei, Minjing Dong, Chang Xu |
| 2025 | AAAI | EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. | Xiaohuan Pei, Tao Huang, Chang Xu |
| 2025 | AAAI | Feature Clipping for Uncertainty Calibration. | Linwei Tao, Minjing Dong, Chang Xu |
| 2025 | CVPR | Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. | Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu |
| 2025 | CVPR | Uncertainty Weighted Gradients for Model Calibration. | Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu |
| 2025 | CVPR | UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. | Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo |
| 2025 | CVPR | Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation. | Fangyun Wei, Jinjing Zhao, Kun Yan, Chang Xu |
| 2025 | EMNLP | Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study. | Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun |
| 2025 | EMNLP | ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations. | Zijian Wang, Chang Xu |
| 2025 | EuroSys | Understanding the Linux Kernel, Visually. | Hanzhi Liu, Yanyan Jiang, Chang Xu |
| 2025 | ICA3PP | Acceleration Method of Distributed Multimodal Learning Tasks in Cloud Virtualization Environment. | Bo Shan, Xinao Wang, Chang Xu, Shan Jiang, Xianggan Liu, Xuan Liu |
| 2025 | ICCV | Lumina-Image 2.0: a Unified and Efficient Image Generative Framework. | Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Victor Perez, Wenhai Wang, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, Peng Gao |
| 2025 | ICCV | Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation. | Yuheng Shi, Minjing Dong, Chang Xu |
| 2025 | ICCV | VSSD: Vision Mamba With Non-Causal State Space Duality. | Yuheng Shi, Mingjia Li, Minjing Dong, Chang Xu |
| 2025 | ICCV | SMARTIES: Spectrum-Aware Multi-Sensor Auto-Encoder for Remote Sensing Images. | Gencer Sumbul, Chang Xu, Emanuele Dalsasso, Devis Tuia |
| 2025 | ICLR | Learning Mask Invariant Mutual Information for Masked Image Modeling. | Tao Huang, Yanxiang Ma, Shan You, Chang Xu |
| 2025 | ICLR | Exploring Local Memorization in Diffusion Models via Bright Ending Attention. | Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu |
| 2025 | ICLR | Representative Guidance: Diffusion Model Sampling with Coherence. | Anh-Dung Dinh, Daochang Liu, Chang Xu |
| 2025 | ICLR | MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. | Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian |
| 2025 | ICLR | Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models. | Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu |
| 2025 | ICLR | Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention. | Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu |
| 2025 | ICLR | Anti-Exposure Bias in Diffusion Models. | Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu |
| 2025 | ICML | BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. | Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian |
| 2025 | ICML | Stable Fair Graph Representation Learning with Lipschitz Constraint. | Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu |
| 2025 | ICML | Beyond One-Hot Labels: Semantic Mixing for Model Calibration. | Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu |
| 2025 | ICML | Adversarial Robustness via Deformable Convolution with Stochasticity. | Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu |
| 2025 | ICML | Position: AI Scaling: From Up to Down and Out. | Yunke Wang, Yanxi Li, Chang Xu |
| 2025 | IROS | Origami-Inspired Soft Gripper with Tunable Constant Force Output. | Zhenwei Ni, Chang Xu, Zhihang Qin, Ceng Zhang, Zhiqiang Tang, Peiyi Wang, Cecilia Laschi |
| 2025 | ICSE | Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs. | Chenxi Zhang, Yufei Liang, Tian Tan, Chang Xu, Shuangxiang Kan, Yulei Sui, Yue Li |
| 2025 | KDD | TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation. | Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian |
| 2025 | KDD | InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. | Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian |
| 2025 | KDD | FusionSAM: Visual Multi-Modal Learning with Segment Anything Model. | Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Yusi Zhang, Leyuan Fang, Yunsong Li, Chang Xu |
| 2025 | KDD | FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning. | Zhenyu Wen, Wanglei Feng, Di Wu, Haozhen Hu, Chang Xu, Bin Qian, Zhen Hong, Cong Wang, Shouling Ji |
| 2025 | MICCAI | DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents. | Xinyu Deng, Vesna Miletic, Elvis Trinh, Jinlong Gao, Chang Xu, Daochang Liu |
| 2025 | NAACL | CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. | Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu |
| 2024 | AAAI | Harnessing Edge Information for Improved Robustness in Vision Transformers. | Yanxi Li, Chengbin Du, Chang Xu |
| 2024 | AAAI | AMD: Autoregressive Motion Diffusion. | Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu |
| 2024 | AAAI | Learning Visual Abstract Reasoning through Dual-Stream Networks. | Kai Zhao, Chang Xu, Bailu Si |
| 2024 | ACL | Locating and Extracting Relational Concepts in Large Language Models. | Zijian Wang, Britney White, Chang Xu |
| 2024 | ASPLOS | The Mutators Reloaded: Fuzzing Compilers with Large Language Model Generated Mutation Operators. | Xianfei Ou, Cong Li, Yanyan Jiang, Chang Xu |
| 2024 | CVPR | Towards Memorization-Free Diffusion Models. | Chen Chen, Daochang Liu, Chang Xu |
| 2024 | CVPR | Random Entangled Tokens for Adversarially Robust Vision Transformer. | Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu |
| 2024 | CVPR | Residual Learning in Diffusion Models. | Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu |
| 2024 | CVPR | Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective. | Jinjing Zhao, Fangyun Wei, Chang Xu |
| 2024 | ECCV | Active Generation for Image Classification. | Tao Huang, Jiaqi Liu, Shan You, Chang Xu |
| 2024 | ECCV | LocalMamba: Visual State Space Model with Windowed Selective Scan. | Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu |
| 2024 | ECCV | Training-Free Composite Scene Generation for Layout-to-Image Synthesis. | Jiaqi Liu, Tao Huang, Chang Xu |
| 2024 | ECCV | ConGeo: Robust Cross-View Geo-Localization Across Ground View Variations. | Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia |
| 2024 | ECCV | Visual Prompting via Partial Optimal Transport. | Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu |
| 2024 | ECCV | Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. | Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu |
| 2024 | ICA3PP | Certificate-Based Transport Layer Security Encrypted Malicious Traffic Detection in Real-Time Network Environments. | Yiran Suo, Jingfeng Xue, Wenjie Guo, Wenbiao Du, Weijie Han, Chang Xu |
| 2024 | ICA3PP | Style-Specific Music Generation from Image. | Chang Xu, Xuan Liu, Yu Weng, Shan Jiang, Xiangyun Tang, Minfeng Qi |
| 2024 | ICASSP | Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models. | Xiu Su, Shan You, Hongyan Xu, Xiuxing Li, Jun Long, Yi Chen, Chang Xu |
| 2024 | ICASSP | TCNAS: Transformer Architecture Evolving in Code Clone Detection. | Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu |
| 2024 | ICLR | MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. | Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian |
| 2024 | ICLR | Neural Architecture Retrieval. | Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu |
| 2024 | ICLR | A Benchmark Study on Calibration. | Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu |
| 2024 | ICML | Data-efficient Large Vision Models through Sequential Autoregression. | Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu |
| 2024 | ICML | GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. | Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen |
| 2024 | ICML | Imitation Learning from Purified Demonstrations. | Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu |
| 2024 | ICML | Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. | Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu |
| 2024 | ICML | Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. | Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu |
| 2024 | IJCAI | Boosting Diffusion Models with an Adaptive Momentum Sampler. | Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu |
| 2024 | IJCNN | Image Anomaly Detection Based on Controllable Self-Augmentation. | Liujie Hua, Yichao Cao, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu |
| 2024 | IGARSS | E2TRACK: Overcoming Occlusion in Aerial Tracking with Trajectory Estimation. | Xu Lei, Yan Zhang, Chang Xu, Wensheng Cheng, Wen Yang |
| 2024 | IGARSS | Decoupling Representation for Nighttime Aerial Tracking. | Xu Lei, Yan Zhang, Chang Xu, Wen Yang, Wensheng Cheng |
| 2024 | ISPA | A Lightweight Privacy-Preserving Asynchronous Federated Learning Scheme in Internet of Vehicles. | Xin Liu, Xiaodong Shen, Chang Xu, Liehuang Zhu, Kashif Sharif |
| 2024 | ISPA | Privacy-Preserving and Robust Federated Learning Based on Secret Sharing. | Jiajia Mei, Xiaodong Shen, Chang Xu, Liehuang Zhu, Guoxie Jin, Kashif Sharif |
| 2024 | Mobisys | Poster: Four Eyes See More Than Two: Collective Intelligence Schemes for Virtual Cluster Allocation. | Xuan Liu, Chenyan Wang, Xiangyu Qu, Chang Xu, Yutong Gao, Guixian Xu |
| 2024 | Mobisys | Poster: Martingale-based Virtual Cluster Placement for Guaranteeing End-to-end Delay Bound Reliability in Edge-cloud Enhancement Environment. | Xuan Liu, Chenyan Wang, Xiangyu Qu, Chang Xu, Zheng Liu, Chaomurilige |
| 2024 | Mobisys | Poster: Towards Pub/Sub Multimodal Data Transmission in IoT Environment. | Xuan Liu, Chenyan Wang, Xiangyu Qu, Chang Xu, Xiangyun Tang, Shan Jiang |
| 2023 | AAAI | Neural Architecture Search for Wide Spectrum Adversarial Robustness. | Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu |
| 2023 | AAAI | Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. | Yunke Wang, Bo Du, Chang Xu |
| 2023 | AAAI | Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. | Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu |
| 2023 | AAAI | ContraFeat: Contrasting Deep Features for Semantic Discovery. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2023 | CVPR | Private Image Generation with Dual-Purpose Auxiliary Classifier. | Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu |
| 2023 | CVPR | Adversarial Robustness via Random Projection Filters. | Minjing Dong, Chang Xu |
| 2023 | CVPR | Trade-off between Robustness and Accuracy of Vision Transformers. | Yanxi Li, Chang Xu |
| 2023 | CVPR | PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers. | Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang |
| 2023 | CVPR | Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection. | Chang Xu, Jian Ding, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia |
| 2023 | ICCV | Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. | Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu |
| 2023 | ICCV | Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. | Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu |
| 2023 | ICCV | Personalized Image Generation for Color Vision Deficiency Population. | Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu |
| 2023 | ICCV | Diffusion Action Segmentation. | Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu |
| 2023 | ICCV | What Can Simple Arithmetic Operations Do for Temporal Modeling? | Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang |
| 2023 | ICCV | SimMatchV2: Semi-Supervised Learning with Graph Consistency. | Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu |
| 2023 | ICDM | DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. | Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu |
| 2023 | ICICS | Illegal Accounts Detection on Ethereum Using Heterogeneous Graph Transformer Networks. | Chang Xu, Shiyao Zhang, Liehuang Zhu, Xiaodong Shen, Xiaoming Zhang |
| 2023 | ICLR | Masked Distillation with Receptive Tokens. | Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu |
| 2023 | ICML | PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. | AnhDung Dinh, Daochang Liu, Chang Xu |
| 2023 | ICML | Dual Focal Loss for Calibration. | Linwei Tao, Minjing Dong, Chang Xu |
| 2023 | IJCAI | Calibrating a Deep Neural Network with Its Predecessors. | Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu |
| 2023 | IJCNN | MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. | Ziqing Lu, Chang Xu, Bo Du |
| 2022 | CVPR | GreedyNASv2: Greedier Search with a Greedy Path Filter. | Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2022 | CVPR | DyRep: Bootstrapping Training with Dynamic Re-parameterization. | Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu |
| 2022 | CVPR | CMT: Convolutional Neural Networks Meet Vision Transformers. | Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu |
| 2022 | CVPR | Hire-MLP: Vision MLP via Hierarchical Rearrangement. | Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang |
| 2022 | CVPR | Patch Slimming for Efficient Vision Transformers. | Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao |
| 2022 | CVPR | An Image Patch is a Wave: Phase-Aware Vision MLP. | Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang |
| 2022 | CVPR | DeepFake Disrupter: The Detector of DeepFake Is My Friend. | Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu |
| 2022 | CVPR | SimMatch: Semi-supervised Learning with Similarity Matching. | Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu |
| 2022 | ECCV | ViTAS: Vision Transformer Architecture Search. | Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu |
| 2022 | ECCV | RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection. | Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia |
| 2022 | ECCV | One Size Does NOT Fit All: Data-Adaptive Adversarial Training. | Shuo Yang, Chang Xu |
| 2022 | ICASSP | Data Agnostic Filter Gating For Efficient Deep Networks. | Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya |
| 2022 | ICDM | Contrastive Code-Comment Pre-training. | Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu |
| 2022 | ICDM | Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. | Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu |
| 2022 | ICLR | Relational Surrogate Loss Learning. | Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu |
| 2022 | ICML | Spatial-Channel Token Distillation for Vision MLPs. | Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu |
| 2022 | ICSE | Push-Button Synthesis of Watch Companions for Android Apps. | Cong Li, Yanyan Jiang, Chang Xu |
| 2022 | ISSRE | Minimizing Link Generation in Constraint Checking for Context Inconsistency Detection. | Chuyang Chen, Huiyan Wang, Lingyu Zhang, Chang Xu, Ping Yu |
| 2022 | KDD | Sufficient Vision Transformer. | Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu |
| 2022 | KDD | Learning Differential Operators for Interpretable Time Series Modeling. | Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian |
| 2022 | NSS | Vulnerability Detection Using Deep Learning Based Function Classification. | Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu |
| 2022 | QRS | ParGCN: Abnormal Transaction Detection based on Graph Neural Networks. | Lian Yu, Qi Jing, Ruomiao Li, Zhiya Cheng, Chang Xu |
| 2021 | AAAI | PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. | Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu |
| 2021 | AAAI | One-shot Graph Neural Architecture Search with Dynamic Search Space. | Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu |
| 2021 | AAAI | Adversarial Robustness through Disentangled Representations. | Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu |
| 2021 | ACL | As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | ACL | Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning. | Jun Wang, Chang Xu, Francisco Guzmn, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | APSEC | Automatic Performance Testing for Image Displaying in Android Apps. | Wenjie Li, Yanyan Jiang, Jun Ma, Chang Xu |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | CVPR | Pre-Trained Image Processing Transformer. | Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao |
| 2021 | CVPR | Learning Student Networks in the Wild. | Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang |
| 2021 | CVPR | Distilling Object Detectors via Decoupled Features. | Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu |
| 2021 | CVPR | Positive-Unlabeled Data Purification in the Wild for Object Detection. | Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang |
| 2021 | CVPR | AdderSR: Towards Energy Efficient Image Super-Resolution. | Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao |
| 2021 | CVPR | Prioritized Architecture Sampling With Monto-Carlo Tree Search. | Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | CVPR | BCNet: Searching for Network Width With Bilaterally Coupled Network. | Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | CVPR | Manifold Regularized Dynamic Network Pruning. | Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu |
| 2021 | CVPR | ReNAS: Relativistic Evaluation of Neural Architecture Search. | Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu |
| 2021 | CVPR | Dot Distance for Tiny Object Detection in Aerial Images. | Chang Xu, Jinwang Wang, Wen Yang, Lei Yu |
| 2021 | CVPR | HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. | Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu |
| 2021 | CVPR | Where and What? Examining Interpretable Disentangled Representations. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2021 | EMNLP | Mitigating Data Poisoning in Text Classification with Differential Privacy. | Chang Xu, Jun Wang, Francisco Guzmn, Benjamin I. P. Rubinstein, Trevor Cohn |
| 2021 | ICA3PP | V-EPTD: A Verifiable and Efficient Scheme for Privacy-Preserving Truth Discovery. | Chang Xu, Hongzhou Rao, Liehuang Zhu, Chuan Zhang, Kashif Sharif |
| 2021 | ICCV | Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. | Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang |
| 2021 | ICCV | Weakly Supervised Contrastive Learning. | Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2021 | ICDM | Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. | Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu |
| 2021 | ICLR | Locally Free Weight Sharing for Network Width Search. | Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | ICML | K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. | Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | ICML | Learning to Weight Imperfect Demonstrations. | Yunke Wang, Chang Xu, Bo Du, Honglak Lee |
| 2021 | ICML | Commutative Lie Group VAE for Disentanglement Learning. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2021 | IJCAI | Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. | Yunke Wang, Chang Xu, Bo Du |
| 2021 | ICSE | HERO: On the Chaos When PATH Meets Modules. | Ying Wang, Liang Qiao, Chang Xu, Yepang Liu, Shing-Chi Cheung, Na Meng, Hai Yu, Zhiliang Zhu |
| 2021 | ICSE | Synthesizing Object State Transformers for Dynamic Software Updates. | Zelin Zhao, Yanyan Jiang, Chang Xu, Tianxiao Gu, Xiaoxing Ma |
| 2021 | ICSE | PASTA: Synthesizing Object State Transformers for Dynamic Software Updates. | Zelin Zhao, Yanyan Jiang, Chang Xu, Tianxiao Gu, Xiaoxing Ma |
| 2021 | KDD | PLP 2021: Workshop on Programming Language Processing. | Chang Xu, Siqi Ma, David Lo |
| 2021 | KDD | Workshop on Model Mining. | Shan You, Chang Xu, Fei Wang, Changshui Zhang |
| 2020 | AAAI | Distilling Portable Generative Adversarial Networks for Image Translation. | Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2020 | AAAI | Learning Student Networks with Few Data. | Shumin Kong, Tianyu Guo, Shan You, Chang Xu |
| 2020 | AAAI | Efficient Residual Dense Block Search for Image Super-Resolution. | Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang |
| 2020 | AAAI | Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. | Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu |
| 2020 | AAAI | Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. | Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang |
| 2020 | CogSci | A Vicious Loop? Longitudinal Relations Between Math Anxiety and Math Performance for Grade 2 and 3 Students. | Shujie Song, Chang Xu, Jo-Anne LeFevre, Sheri-Lynn Skwarchuk, Erin A. Maloney, Helena P. Osana |
| 2020 | COLING | Assessing Social License to Operate from the Public Discourse on Social Media. | Chang Xu, Ccile Paris, Ross Sparks, Surya Nepal, Keith Vander Linden |
| 2020 | CVPR | Context Aware Graph Convolution for Skeleton-Based Action Recognition. | Xikun Zhang, Chang Xu, Dacheng Tao |
| 2020 | CVPR | Frequency Domain Compact 3D Convolutional Neural Networks. | Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | AdderNet: Do We Really Need Multiplications in Deep Learning? | Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. | Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu |
| 2020 | CVPR | On Positive-Unlabeled Classification in GAN. | Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao |
| 2020 | CVPR | GhostNet: More Features From Cheap Operations. | Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu |
| 2020 | CVPR | Neuromorphic Camera Guided High Dynamic Range Imaging. | Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi |
| 2020 | CVPR | A Semi-Supervised Assessor of Neural Architectures. | Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu |
| 2020 | CVPR | CARS: Continuous Evolution for Efficient Neural Architecture Search. | Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu |
| 2020 | ECAI | DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. | Chang Xu, Ccile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang |
| 2020 | ECCV | Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. | Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu |
| 2020 | ECCV | On Dropping Clusters to Regularize Graph Convolutional Neural Networks. | Xikun Zhang, Chang Xu, Dacheng Tao |
| 2020 | ECCV | Learning Disentangled Representations with Latent Variation Predictability. | Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2020 | GLOBECOM | A Privacy-Preserving Location-Aware and Traffic Order-Based Route Collection Scheme in VANETs. | Chuan Zhang, Liehuang Zhu, Chang Xu, Kashif Sharif |
| 2020 | GLOBECOM | Efficient and Privacy-Preserving Non-Interactive Truth Discovery for Mobile Crowdsensing. | Chuan Zhang, Liehuang Zhu, Chang Xu, Jianbing Ni, Cheng Huang, Xuemin Sherman Shen |
| 2020 | ICCE | Game-Based Learning in Language Education: A Review of Empirical Studies from 2009 to 2018. | Chang Xu, Xian Zhang, Xiaohan Yu, Yutong Lu, Chunping Zheng |
| 2020 | ICML | Training Binary Neural Networks through Learning with Noisy Supervision. | Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu |
| 2020 | ICML | Neural Architecture Search in A Proxy Validation Loss Landscape. | Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu |
| 2020 | Interspeech | Speaker-Aware Monaural Speech Separation. | Jiahao Xu, Kun Hu, Chang Xu, Tran Duc Chung, Zhiyong Wang |
| 2020 | ICSE | Testing file system implementations on layered models. | Dongjie Chen, Yanyan Jiang, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2020 | ICSE | Dissector: input validation for deep learning applications by crossing-layer dissection. | Huiyan Wang, Jingwei Xu, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2020 | ICSE | ComboDroid: generating high-quality test inputs for Android apps via use case combinations. | Jue Wang, Yanyan Jiang, Chang Xu, Chun Cao, Xiaoxing Ma, Jian Lu |
| 2020 | ICSE | Watchman: monitoring dependency conflicts for Python library ecosystem. | Ying Wang, Ming Wen, Yepang Liu, Yibo Wang, Zhenming Li, Chao Wang, Hai Yu, Shing-Chi Cheung, Chang Xu, Zhiliang Zhu |
| 2020 | ICSE | M.R. Hunter: Hunting for Metamorphic Relations by Puzzle Solving. | Yingzhuo Yang, Chang Xu |
| 2019 | AAAI | Smooth Deep Image Generator from Noises. | Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao |
| 2019 | AAAI | Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. | Mike Li, Elija Perrier, Chang Xu |
| 2019 | AAAI | Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. | Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu |
| 2019 | ACL | Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. | Chang Xu, Ccile Paris, Surya Nepal, Ross Sparks |
| 2019 | ACSAC | STRIP: a defence against trojan attacks on deep neural networks. | Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal |
| 2019 | APSEC | VISION: Evaluating Scenario Suitableness for DNN Models by Mirror Synthesis. | Ziqi Chen, Huiyan Wang, Chang Xu, Xiaoxing Ma, Chun Cao |
| 2019 | CogSci | Language in Math Problem Solving. | Renee Whittaker, Chang Xu, Jo-Anne LeFevre, Helena P. Osana, Jill Turner, Heather P. Douglas, Anne Lafay, Sheri-Lynn Skwarchuk |
| 2019 | CVPR | Self-Supervised Representation Learning by Rotation Feature Decoupling. | Zeyu Feng, Chang Xu, Dacheng Tao |
| 2019 | CVPR | Image-Question-Answer Synergistic Network for Visual Dialog. | Dalu Guo, Chang Xu, Dacheng Tao |
| 2019 | ICASSP | Adversarial Watermarking to Attack Deep Neural Networks. | Gengxing Wang, Xinyuan Chen, Chang Xu |
| 2019 | ICCE | A Systematic Literature Review of Language Learning Based on Social Media. | Chang Xu, Chunping Zheng |
| 2019 | ICCV | Data-Free Learning of Student Networks. | Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian |
| 2019 | ICCV | Self-Supervised Representation Learning From Multi-Domain Data. | Zeyu Feng, Chang Xu, Dacheng Tao |
| 2019 | ICCV | Co-Evolutionary Compression for Unpaired Image Translation. | Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu |
| 2019 | ICCV | Approximated Bilinear Modules for Temporal Modeling. | Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao |
| 2019 | ICDM | Reinforced Molecule Generation with Heterogeneous States. | Fangzhou Shi, Shan You, Chang Xu |
| 2019 | ICML | LegoNet: Efficient Convolutional Neural Networks with Lego Filters. | Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu |
| 2019 | IJCAI | Crafting Efficient Neural Graph of Large Entropy. | Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu |
| 2019 | IJCAI | On Retrospecting Human Dynamics with Attention. | Minjing Dong, Chang Xu |
| 2019 | IJCAI | Attribute Aware Pooling for Pedestrian Attribute Recognition. | Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu |
| 2019 | IJCAI | Learning Instance-wise Sparsity for Accelerating Deep Models. | Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu |
| 2019 | IJCAI | Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. | Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu |
| 2019 | ICSE | Practical GUI testing of Android applications via model abstraction and refinement. | Tianxiao Gu, Chengnian Sun, Xiaoxing Ma, Chun Cao, Chang Xu, Yuan Yao, Qirun Zhang, Jian Lu, Zhendong Su |
| 2019 | ICSE | Structural coverage criteria for neural networks could be misleading. | Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao |
| 2019 | QRS | WARDER: Refining Cell Clustering for Effective Spreadsheet Defect Detection via Validity Properties. | Da Li, Huiyan Wang, Chang Xu, Fengmin Shi, Xiaoxing Ma, Jian Lu |
| 2018 | AAAI | Reinforced Multi-Label Image Classification by Exploring Curriculum. | Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao |
| 2018 | AAAI | Adversarial Learning of Portable Student Networks. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2018 | AAAI | Learning With Single-Teacher Multi-Student. | Shan You, Chang Xu, Chao Xu, Dacheng Tao |
| 2018 | ACL | Cross-Target Stance Classification with Self-Attention Networks. | Chang Xu, Ccile Paris, Surya Nepal, Ross Sparks |
| 2018 | APSEC | ELEGANT: Towards Effective Location of Fragmentation-Induced Compatibility Issues for Android Apps. | Cong Li, Chang Xu, Lili Wei, Jue Wang, Jun Ma, Jian Lu |
| 2018 | ECCV | Attention-GAN for Object Transfiguration in Wild Images. | Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao |
| 2018 | ECOOP | Automating Object Transformations for Dynamic Software Updating via Online Execution Synthesis. | Tianxiao Gu, Xiaoxing Ma, Chang Xu, Yanyan Jiang, Chun Cao, Jian Lu |
| 2018 | FPGA | DATuner: An Extensible Distributed Autotuning Framework for FPGA Design and Design Automation: (Abstract Only). | Gai Liu, Ecenur Ustun, Shaojie Xiang, Chang Xu, Guojie Luo, Zhiru Zhang |
| 2018 | ICDM | Online Dictionary Learning with Confidence. | Shan You, Chang Xu, Chao Xu |
| 2018 | ICDM | Independent Feature and Label Components for Multi-label Classification. | Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang |
| 2018 | IJCAI | R-SVM+: Robust Learning with Privileged Information. | Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao |
| 2018 | ICSE | Synthesizing relation-aware entity transformation by examples. | Jiarong Wu, Yanyan Jiang, Chang Xu, Shing-Chi Cheung, Xiaoxing Ma, Jian Lu |
| 2018 | ICWS | CommuteShare: A Ridesharing Service for Daily Commuters Using Cross-Domain Urban Big Data. | Xiaoliang Fan, Chang Xu, Fang Tang, Jianzhong Qi, Xiao Liu, Longbiao Chen, Cheng Wang |
| 2018 | KDD | Towards Evolutionary Compression. | Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao |
| 2018 | QRS | Manifesting Bugs in Machine Learning Code: An Explorative Study with Mutation Testing. | Dawei Cheng, Chun Cao, Chang Xu, Xiaoxing Ma |
| 2018 | QRS | SynEva: Evaluating ML Programs by Mirror Program Synthesis. | Yi Qin, Huiyan Wang, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2017 | AAAI | Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. | Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao |
| 2017 | AAAI | Beyond RPCA: Flattening Complex Noise in the Frequency Domain. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | ADMA | PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network. | Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu |
| 2017 | COMPSAC | Message from SETA 2017 Program Chairs. | Hridesh Rajan, Alexander Bolotov, Chang Xu |
| 2017 | FPGA | A Parallel Bandit-Based Approach for Autotuning FPGA Compilation. | Chang Xu, Gai Liu, Ritchie Zhao, Stephen Yang, Guojie Luo, Zhiru Zhang |
| 2017 | ICML | Beyond Filters: Compact Feature Map for Portable Deep Model. | Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | IJCAI | Privileged Matrix Factorization for Collaborative Filtering. | Yali Du, Chang Xu, Dacheng Tao |
| 2017 | IJCAI | Collaborative Rating Allocation. | Yali Du, Chang Xu, Dacheng Tao |
| 2017 | IJCAI | Fast SVM Trained by Divide-and-Conquer Anchors. | Meng Liu, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | IJCAI | Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. | Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao |
| 2017 | IJCAI | Multi-Positive and Unlabeled Learning. | Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao |
| 2017 | IJCAI | Online Reputation Fraud Campaign Detection in User Ratings. | Chang Xu, Jie Zhang, Zhu Sun |
| 2017 | IJCAI | Privileged Multi-label Learning. | Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao |
| 2017 | ICSE | Synthesizing object transformation for dynamic software updating. | Tianxiao Gu, Xiaoxing Ma, Chang Xu, Yanyan Jiang, Chun Cao, Jian L |
| 2017 | KDD | Learning from Multiple Teacher Networks. | Shan You, Chang Xu, Chao Xu, Dacheng Tao |
| 2016 | APSEC | Improving Reliability of Dynamic Software Updating Using Runtime Recovery. | Tianxiao Gu, Zelin Zhao, Xiaoxing Ma, Chang Xu, Chun Cao, Jian Lu |
| 2016 | APSEC | Effectively Manifesting Concurrency Bugs in Android Apps. | Qiwei Li, Yanyan Jiang, Tianxiao Gu, Chang Xu, Jun Ma, Xiaoxing Ma, Jian Lu |
| 2016 | APSEC | Testing Android Apps via Guided Gesture Event Generation. | Xiangyu Wu, Yanyan Jiang, Chang Xu, Chun Cao, Xiaoxing Ma, Jian Lu |
| 2016 | APSEC | CURE: Automated Patch Generation for Dynamic Software Update. | Zelin Zhao, Tianxiao Gu, Xiaoxing Ma, Chang Xu, Jian Lu |
| 2016 | ICALT | Measuring and Visualizing Individual Contributions in Online Collaborative Discussions. | Chang Xu, Yafeng Zheng, Hening Hu, Yanyan Li |
| 2016 | ICSE | CUSTODES: automatic spreadsheet cell clustering and smell detection using strong and weak features. | Shing-Chi Cheung, Wanjun Chen, Yepang Liu, Chang Xu |
| 2016 | KDD | Robust Extreme Multi-label Learning. | Chang Xu, Dacheng Tao, Chao Xu |
| 2016 | QRS | Verifying Distributed Controllers with Local Invariants. | Yiqun Wang, Shengwei An, Xiaoxing Ma, Chun Cao, Chang Xu |
| 2016 | QRS | How Effective Is Branch-Based Combinatorial Testing? An Exploratory Study. | Huiyan Wang, Chang Xu, Jun Sui, Jian Lu |
| 2015 | AAAI | Large-Margin Multi-Label Causal Feature Learning. | Chang Xu, Dacheng Tao, Chao Xu |
| 2015 | ACML | Improving Sybil Detection via Graph Pruning and Regularization Techniques. | Huanhuan Zhang, Jie Zhang, Carol J. Fung, Chang Xu |
| 2015 | APSEC | ABC: Accelerated Building of C/C++ Projects. | Ying Zhang, Yanyan Jiang, Chang Xu, Xiaoxing Ma, Ping Yu |
| 2015 | CIKM | DeepCamera: A Unified Framework for Recognizing Places-of-Interest based on Deep ConvNets. | Pai Peng, Hongxiang Chen, Lidan Shou, Ke Chen, Gang Chen, Chang Xu |
| 2015 | COMPSAC | Concolic Metamorphic Debugging. | Hao Jin, Yanyan Jiang, Na Liu, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2015 | COMPSAC | CoseDroid: Effective Computation- and Sensing-Offloading for Android Apps. | Xiangyu Wu, Chang Xu, Ziling Lu, Yanyan Jiang, Chun Cao, Xiaoxing Ma, Jian Lu |
| 2015 | ICCE | A Case Study on the Problem Representation of College Science Students in the Lego Building Process. | Bo Shuang Dun, Chang Xu, Lijuan Lu, Feng-Kuang Chiang |
| 2015 | ICDM | Towards Collusive Fraud Detection in Online Reviews. | Chang Xu, Jie Zhang |
| 2015 | IJCAI | Multi-view Self-Paced Learning for Clustering. | Chang Xu, Dacheng Tao, Chao Xu |
| 2015 | IROS | A haptic shared control algorithm for flexible human assistance to semi-autonomous robots. | Ningbo Yu, Kui Wang, Yuan Li, Chang Xu, Jingtai Liu |
| 2015 | QRS | An Event-Based Formal Framework for Dynamic Software Update. | Shengwei An, Xiaoxing Ma, Chun Cao, Ping Yu, Chang Xu |
| 2014 | AAAI | Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. | Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu |
| 2014 | APSEC | User Guided Automation for Testing Mobile Apps. | Xiujiang Li, Yanyan Jiang, Yepang Liu, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2014 | APSEC | GAIN: GPU-Based Constraint Checking for Context Consistency. | Jun Sui, Chang Xu, Wang Xi, Yanyan Jiang, Chun Cao, Xiaoxing Ma, Jian Lu |
| 2014 | APSEC | SHAP: Suppressing the Detection of Inconsistency Hazards by Pattern Learning. | Wang Xi, Chang Xu, Wenhua Yang, Ping Yu, Xiaoxing Ma, Jiang Lu |
| 2014 | CIKM | RC-NET: A General Framework for Incorporating Knowledge into Word Representations. | Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu |
| 2014 | ICIP | Analysis of food images: Features and classification. | Ye He, Chang Xu, Nitin Khanna, Carol J. Boushey, Edward J. Delp |
| 2014 | ICML | Large-margin Weakly Supervised Dimensionality Reduction. | Chang Xu, Dacheng Tao, Chao Xu, Yong Rui |
| 2014 | ICSE | CARE: cache guided deterministic replay for concurrent Java programs. | Yanyan Jiang, Tianxiao Gu, Chang Xu, Xiaoxing Ma, Jian Lu |
| 2014 | ICSE | Characterizing and detecting performance bugs for smartphone applications. | Yepang Liu, Chang Xu, Shing-Chi Cheung |
| 2013 | AAAI | Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. | Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu |
| 2013 | CIKM | Detecting collusive spammers in online review communities. | Chang Xu |
| 2013 | CIKM | Uncovering collusive spammers in Chinese review websites. | Chang Xu, Jie Zhang, Kuiyu Chang, Chong Long |
| 2013 | ICIP | Context based food image analysis. | Ye He, Chang Xu, Nitin Khanna, Carol J. Boushey, Edward J. Delp |
| 2013 | ICIP | Model-based food volume estimation using 3D pose. | Chang Xu, Ye He, Nitin Khanna, Carol J. Boushey, Edward J. Delp |
| 2013 | IGARSS | Relationships between land use pattern and surface water quality in Beijing. | Ke Liu, Xiaoyu Guo, Bing Lei, Yonghua Sun, Mingyu Wang, Chang Xu, Yuhang Gan, Yizhi Hu, Xiaotong Han |
| 2013 | Middleware | DPAC: an infrastructure for dynamic program analysis of concurrency Java programs. | Yanyan Jiang, Chang Xu, Xiaoxing Ma |
| 2013 | Middleware | VeriDroid: automating Android application verification. | Yepang Liu, Chang Xu |
| 2013 | Middleware | IDEA: improving dependability for self-adaptive applications. | Wenhua Yang, Chang Xu, Linghao Zhang |
| 2013 | PERCOM | Where has my battery gone? Finding sensor related energy black holes in smartphone applications. | Yepang Liu, Chang Xu, Shing-Chi Cheung |
| 2012 | APSEC | Javelus: A Low Disruptive Approach to Dynamic Software Updates. | Tianxiao Gu, Chun Cao, Chang Xu, Xiaoxing Ma, Linghao Zhang, Jian Lu |
| 2012 | APSEC | Resynchronizing Model-Based Self-Adaptive Systems with Environments. | Linghao Zhang, Chang Xu, Xiaoxing Ma, Tianxiao Gu, Xuezhi Hong, Chun Cao, Jian Lu |
| 2012 | CIKM | A simple approach to the design of site-level extractors using domain-centric principles. | Chong Long, Xiubo Geng, Chang Xu, Sathiya Keerthi |
| 2012 | COMPSAC | ConsView: Towards Application-Specific Consistent Context Views. | Haibin Yang, Chang Xu, Xiaoxing Ma, Linghao Zhang, Chun Cao, Jian Lu |
| 2012 | ICIP | Learning to rerank images with enhanced spatial verification. | Chang Xu, Yangxi Li, Chao Zhou, Chao Xu |
| 2011 | ISM | Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices. | Chang Xu, Nitin Khanna, Carol J. Boushey, Edward J. Delp |
| 2011 | Mobiquitous | Minimizing the Side Effect of Context Inconsistency Resolution for Ubiquitous Computing. | Chang Xu, Xiaoxing Ma, Chun Cao, Jian Lu |
| 2010 | DASFAA | Update Migration: An Efficient B+ Tree for Flash Storage. | Chang Xu, Lidan Shou, Gang Chen, Cheng Yan, Tianlei Hu |
| 2010 | DEXA | Towards Efficient Concurrent Scans on Flash Disks. | Chang Xu, Lidan Shou, Gang Chen, Wei Hu, Tianlei Hu, Ke Chen |
| 2009 | ICNC | Ant Colony Optimization Based on Estimation of Distribution for the Traveling Salesman Problem. | Chang Xu, Jun Xu, Huiyou Chang |
| 2008 | ICDCS | Heuristics-Based Strategies for Resolving Context Inconsistencies in Pervasive Computing Applications. | Chang Xu, Shing-Chi Cheung, Wing Kwong Chan, Chunyang Ye |
| 2007 | ICSE | Goal-Directed Context Validation for Adaptive Ubiquitous Systems. | Chang Xu, Shing-Chi Cheung, Wing Kwong Chan |
| 2006 | ICSE | Incremental consistency checking for pervasive context. | Chang Xu, Shing-Chi Cheung, W. K. Chan |
| 2004 | ER | Semantic Interpretation and Matching of Web Services. | Chang Xu, Shing-Chi Cheung, Xiangye Xiao |
| 2004 | NPC | Cabot: On the Ontology for the Middleware Support of Context-Aware Pervasive Applications. | Chang Xu, Shing-Chi Cheung, Cindy Lo, Ka-Chung Leung, Jun Wei |