| 2026 | AAAI | Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search. | Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang |
| 2026 | AAAI | Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. | Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang |
| 2026 | ACL | Attention Basin: Why Contextual Position Matters in Large Language Models. | Zihao Yi, Zhenqing Ling, Delong Zeng, Haohao Luo, Zhe Xu, Wei Liu, Jian Luan, Wanxia Cao, Ying Shen |
| 2026 | EACL | How to Make LMs Strong Node Classifiers? | Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong |
| 2026 | ISCAS | A Sub-6GHz Balun-LNA Using Dual Feedback Gm-Boosting and Triple Path Noise Canceling Technique. | Xuzhi Liu, Zhiming Chen, Zhe Xu, Lianyi Zhao, Xiaoran Li, Xinghua Wang, Zicheng Liu |
| 2026 | KDD | PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. | Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong |
| 2025 | AAAI | Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning. | Kun Wei, Zhe Xu, Cheng Deng |
| 2025 | ACL | iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation. | Zheyong Xie, Shaosheng Cao, Zuozhu Liu, Zheyu Ye, Zihan Niu, Chonggang Lu, Tong Xu, Enhong Chen, Zhe Xu, Yao Hu, Wei Lu |
| 2025 | CIKM | Fine-Grained Graph Rationalization. | Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong |
| 2025 | HCI | Emotion-Driven Interaction Design in Regional Public Brand Apps- Enhancing User Experience Through Emotional Engagement. | Qihan Guo, Mingxi Shi, Peng Zhang, RuiChi Li, Kyoungyong Lee, Zhe Xu |
| 2025 | ICASSP | Edge-aware Laplacian Pyramid Network for Efficient Image Deblurring. | Zhe Xu, Zhipei Lei, Dingyong Gou, Yanlin Wu, Liwen Zhang, Cong Li |
| 2025 | ICASSP | Intent-driven In-context Learning for Few-shot Dialogue State Tracking. | Zihao Yi, Zhe Xu, Ying Shen |
| 2025 | ICASSP | ECBANet: Exploiting Complementary Information for Efficient Burst Super-Resolution. | Liwen Zhang, Dingyong Gou, Cong Li, Yanlin Wu, Changjiang Xie, Ke Ren, Zhe Xu |
| 2025 | ICCV | Conditional Visual Autoregressive Modeling for Pathological Image Restoration. | Ziyi Liu, Zhe Xu, Jiabo Ma, Wenqiang Li, Ruixuan Wang, Bo Du, Hao Chen |
| 2025 | ICCV | VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models. | Jiacheng Ruan, Wenzhen Yuan, Xiqi Gao, Ye Guo, Daoxin Zhang, Zhe Xu, Yao Hu, Ting Liu, Yuzhuo Fu |
| 2025 | ICCV | VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks. | Shiduo Zhang, Zhe Xu, Peiju Liu, Xiaopeng Yu, Yuan Li, Qinghui Gao, Zhaoye Fei, Zhangyue Yin, Zuxuan Wu, Yu-Gang Jiang, Xipeng Qiu |
| 2025 | ICLR | Ask, and it shall be given: On the Turing completeness of prompting. | Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong |
| 2025 | ICML | SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services. | Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li |
| 2025 | IJCAI | A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective. | Nasim Baharisangari, Yucheng Ruan, Chengcheng Zhao, Zhe Xu |
| 2025 | IROS | Successor Features for Transfer in Alternating Markov Games. | Sunny Amatya, Yi Ren, Zhe Xu, Wenlong Zhang |
| 2025 | IROS | TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-To-Sim Digital Twin Sensor Model. | Xiyan Huang, Zhe Xu, Chenxi Xiao |
| 2025 | MICCAI | RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation. | Hong Liu, Dong Wei, Zhe Xu, Xian Wu, Yefeng Zheng, Liansheng Wang |
| 2025 | MICCAI | Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models. | Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2025 | WWW | Global Feature Enhancing and Fusion Framework for Strain Gauge Status Recognition. | Xu Zhang, Peng Wang, Chen Wang, Zhe Xu, Xiaohua Nie, Wei Wang |
| 2025 | SIGIR | PaRT: Enhancing Proactive Social Chatbots with Personalized Real-Time Retrieval. | Zihan Niu, Zheyong Xie, Shaosheng Cao, Chonggang Lu, Zheyu Ye, Tong Xu, Zuozhu Liu, Yan Gao, Jia Chen, Zhe Xu, Yi Wu, Yao Hu |
| 2024 | ACL | Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization. | Zhe Xu, Kun Wei, Xu Yang, Cheng Deng |
| 2024 | CIKM | An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing. | Xinlang Yue, Yiran Liu, Fangzhou Shi, Sihong Luo, Chen Zhong, Min Lu, Zhe Xu |
| 2024 | CIKM | Graph Anomaly Detection with Adaptive Node Mixup. | Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2024 | CVPR | Diversified and Personalized Multi-Rater Medical Image Segmentation. | Yicheng Wu, Xiangde Luo, Zhe Xu, Xiaoqing Guo, Lie Ju, Zongyuan Ge, Wenjun Liao, Jianfei Cai |
| 2024 | EMNLP | MMedAgent: Learning to Use Medical Tools with Multi-modal Agent. | Binxu Li, Tiankai Yan, Yuanting Pan, Jie Luo, Ruiyang Ji, Jiayuan Ding, Zhe Xu, Shilong Liu, Haoyu Dong, Zihao Lin, Yixin Wang |
| 2024 | FAST | What's the Story in EBS Glory: Evolutions and Lessons in Building Cloud Block Store. | Weidong Zhang, Erci Xu, Qiuping Wang, Xiaolu Zhang, Yuesheng Gu, Zhenwei Lu, Tao Ouyang, Guanqun Dai, Wenwen Peng, Zhe Xu, Shuo Zhang, Dong Wu, Yilei Peng, Tianyun Wang, Haoran Zhang, Jiasheng Wang, Wenyuan Yan, Yuanyuan Dong, Wenhui Yao, Zhongjie Wu, Lingjun Zhu, Chao Shi, Yinhu Wang, Rong Liu, Junping Wu, Jiaji Zhu, Jiesheng Wu |
| 2024 | ICML | Class-Imbalanced Graph Learning without Class Rebalancing. | Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong |
| 2024 | ICML | State-Constrained Zero-Sum Differential Games with One-Sided Information. | Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren |
| 2024 | ICML | SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. | Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong |
| 2024 | ICML | Graph Mixup on Approximate Gromov-Wasserstein Geodesics. | Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong |
| 2024 | ICRA | Optimization Based Dynamic Skateboarding of Quadrupedal Robot. | Zhe Xu, Mohamed Al-Khulaqui, Hanxin Ma, Jiajun Wang, Quanbin Xin, Yangwei You, Mingliang Zhou, Diyun Xiang, Shiwu Zhang |
| 2024 | KDD | Rethinking Order Dispatching in Online Ride-Hailing Platforms. | Zhaoxing Yang, Haiming Jin, Guiyun Fan, Min Lu, Yiran Liu, Xinlang Yue, Hao Pan, Zhe Xu, Guobin Wu, Qun Li, Xiaotong Wang, Jiecheng Guo |
| 2024 | MICCAI | Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation. | Xinyao Wu, Zhe Xu, Raymond Kai-Yu Tong |
| 2024 | MICCAI | FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. | Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong |
| 2024 | SIGIR | Masked Graph Transformer for Large-Scale Recommendation. | Huiyuan Chen, Zhe Xu, Chin-Chia Michael Yeh, Vivian Lai, Yan Zheng, Minghua Xu, Hanghang Tong |
| 2024 | SIGIR | Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. | Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen |
| 2023 | AAAI | Learning Interpretable Temporal Properties from Positive Examples Only. | Rajarshi Roy, Jean-Raphal Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu |
| 2023 | ECAI | Reinforcement Learning with Reward Machines in Stochastic Games. | Jueming Hu, Jean-Raphal Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu |
| 2023 | IROS | Run and Catch: Dynamic Object-Catching of Quadrupedal Robots. | Yangwei You, Tianlin Liu, Xiaowei Liang, Zhe Xu, Mingliang Zhou, Zhibin Li, Shiwu Zhang |
| 2023 | ICRA | Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games. | Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren |
| 2023 | KDD | Kernel Ridge Regression-Based Graph Dataset Distillation. | Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong |
| 2023 | KDD | Node Classification Beyond Homophily: Towards a General Solution. | Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong |
| 2023 | MICCAI | You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. | Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng |
| 2023 | MICCAI | Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. | Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2023 | MICCAI | Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. | Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2023 | MICCAI | Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization. | Meng Zhou, Zhe Xu, Kang Zhou, Raymond Kai-Yu Tong |
| 2023 | MVA | Hierarchical Spatio-Temporal Neural Network with Displacement Based Refinement for Monocular Head Pose Prediction. | Zhe Xu, Yuan Li, Yuhong Li, Songlin Du, Takeshi Ikenaga |
| 2023 | WSDM | Natural and Artificial Dynamics in GNNs: A Tutorial. | Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He |
| 2022 | ICASSP | Cross-Domain Few-Shot Learning for Rare-Disease Skin Lesion Segmentation. | Yixin Wang, Zhe Xu, Jiang Tian, Jie Luo, Zhongchao Shi, Yang Zhang, Jianping Fan, Zhiqiang He |
| 2022 | ICDM | Generalized Few-Shot Node Classification. | Zhe Xu, Kaize Ding, Yu-Xiong Wang, Huan Liu, Hanghang Tong |
| 2022 | MICCAI | Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. | Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng |
| 2022 | MICCAI | On the Dataset Quality Control for Image Registration Evaluation. | Jie Luo, Guangshen Ma, Nazim Haouchine, Zhe Xu, Yixin Wang, Tina Kapur, Lipeng Ning, William M. Wells III, Sarah F. Frisken |
| 2022 | MICCAI | Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. | Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2022 | MICCAI | Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. | Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2022 | WWW | Graph Sanitation with Application to Node Classification. | Zhe Xu, Boxin Du, Hanghang Tong |
| 2021 | AAAI | Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. | Zhe Xu, Yuxin Chen, Ufuk Topcu |
| 2021 | AAAI | Generalized Zero-Shot Learning via Disentangled Representation. | Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng |
| 2021 | AAAI | Advice-Guided Reinforcement Learning in a non-Markovian Environment. | Daniel Neider, Jean-Raphal Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu |
| 2021 | ACSSC | Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. | Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao |
| 2021 | ATVA | Learning Linear Temporal Properties from Noisy Data: A MaxSAT-Based Approach. | Jean-Raphal Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu |
| 2021 | CIKM | DESTINE: Dense Subgraph Detection on Multi-Layered Networks. | Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong |
| 2021 | ICASSP | Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance. | Zhe Xu, Jiangpeng Yan, Jie Luo, Xiu Li, Jayender Jagadeesan |
| 2021 | ICCV | Pseudo-loss Confidence Metric for Semi-supervised Few-shot Learning. | Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu |
| 2021 | ICONIP | Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification. | Chenghui Yu, Mingkang Tang, ShengGe Yang, Mingqing Wang, Zhe Xu, Jiangpeng Yan, Hanmo Chen, Yu Yang, Xiao-Jun Zeng, Xiu Li |
| 2021 | IGARSS | Triplet Attention Feature Fusion Network for SAR and Optical Image Land Cover Classification. | Zhe Xu, Jinbiao Zhu, Jie Geng, Xinyang Deng, Wen Jiang |
| 2021 | ICRA | Backstepping and Sliding Mode Control for AUVs Aided with Bioinspired Neurodynamics. | Zhe Xu, Simon X. Yang, S. Andrew Gadsden, Junfei Li, Danjie Zhu |
| 2021 | MICCAI | Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. | Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li |
| 2021 | MICCAI | Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation. | Jiangpeng Yan, Hanbo Chen, Kang Wang, Yan Ji, Yuyao Zhu, Jingjing Li, Dong Xie, Zhe Xu, Junzhou Huang, Shuqun Cheng, Xiu Li, Jianhua Yao |
| 2020 | CIKM | A View-Adversarial Framework for Multi-View Network Embedding. | Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He |
| 2020 | ICLR | Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers. | Junjie Liu, Zhe Xu, Runbin Shi, Ray C. C. Cheung, Hayden Kwok-Hay So |
| 2020 | MICCAI | Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. | Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan |
| 2020 | WWW | When Recommender Systems Meet Fleet Management: Practical Study in Online Driver Repositioning System. | Zhe Xu, Chang Men, Peng Li, Bicheng Jin, Ge Li, Yue Yang, Chunyang Liu, Ben Wang, Xiaohu Qie |
| 2019 | BMVC | Accurate and Compact Convolutional Neural Networks with Trained Binarization. | Zhe Xu, Ray C. C. Cheung |
| 2019 | ICDCS | SpeedyBox: Low-Latency NFV Service Chains with Cross-NF Runtime Consolidation. | Yimin Jiang, Yong Cui, Wenfei Wu, Zhe Xu, Jiahan Gu, K. K. Ramakrishnan, Yongchao He, Xuehai Qian |
| 2019 | ICNC | Att-ConvLSTM: PM2.5 Prediction Model and Application. | Zhe Xu, Yi Lv |
| 2019 | IJCAI | Transfer of Temporal Logic Formulas in Reinforcement Learning. | Zhe Xu, Ufuk Topcu |
| 2019 | IJCAI | Relation Extraction Using Supervision from Topic Knowledge of Relation Labels. | Haiyun Jiang, Li Cui, Zhe Xu, Deqing Yang, Jindong Chen, Chenguang Li, Jingping Liu, Jiaqing Liang, Chao Wang, Yanghua Xiao, Wei Wang |
| 2019 | KDD | A Deep Value-network Based Approach for Multi-Driver Order Dispatching. | Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye |
| 2019 | PDCAT | Fengyun-4A Meteorological Satellite Data Service System. | Yonggang Qi, Jiashen Zhang, Zhe Xu, Di Xian |
| 2018 | ICRA | Distributed Multi-Robot Cooperation for Information Gathering Under Communication Constraints. | Alberto Viseras Ruiz, Zhe Xu, Luis Merino |
| 2018 | KDD | Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. | Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou |
| 2018 | KDD | Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms: A Learning and Planning Approach. | Zhe Xu, Zhixin Li, Qingwen Guan, Dingshui Zhang, Qiang Li, Junxiao Nan, Chunyang Liu, Wei Bian, Jieping Ye |
| 2017 | ICONIP | A Method to Improve Accuracy of Velocity Prediction Using Markov Model. | Yadan Liu, Liang Chu, Nan Xu, Yi-fan Jia, Zhe Xu |
| 2017 | ICONIP | Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming. | Xin Tang, Liang Chu, Nan Xu, Di Zhao, Zhe Xu |
| 2017 | RO-MAN | Learning generalizable surface cleaning actions from demonstration. | Sarah Elliott, Zhe Xu, Maya Cakmak |
| 2016 | CVPR | Part-Stacked CNN for Fine-Grained Visual Categorization. | Shaoli Huang, Zhe Xu, Dacheng Tao, Ya Zhang |
| 2016 | IGARSS | Fengyun-3 Series Meteorological Satellite Data Archiving and Service System. | Zhe Xu, Jianmei Qian, Di Xian, Yonggang Qi |
| 2016 | ICRA | Design of a highly biomimetic anthropomorphic robotic hand towards artificial limb regeneration. | Zhe Xu, Emanuel Todorov |
| 2016 | VCIP | A parameter partial-sharing CNN architecture for cross-domain clothing retrieval. | Yichao Xiong, Ning Liu, Zhe Xu, Ya Zhang |
| 2015 | ICCV | Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization. | Zhe Xu, Shaoli Huang, Ya Zhang, Dacheng Tao |
| 2014 | CIS | The Automatic Classification Research to Medical Imaging Disease Based on Nave Nayesion Algorithm. | Luoyong Niu, Jiaming Hong, Hongbo Huo, Bishi He, Zhe Xu |
| 2014 | ECCV | Architectural Style Classification Using Multinomial Latent Logistic Regression. | Zhe Xu, Dacheng Tao, Ya Zhang, Junjie Wu, Ah Chung Tsoi |
| 2014 | IROS | Enhanced robotic cleaning with a low-cost tool attachment. | Zhe Xu, Maya Cakmak |
| 2014 | ICRA | Design, optimization, calibration, and a case study of a 3D-printed, low-cost fingertip sensor for robotic manipulation. | Zhe Xu, Svetoslav Kolev, Emanuel Todorov |
| 2013 | ICRA | Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands. | Vikash Kumar, Zhe Xu, Emanuel Todorov |
| 2013 | ICRA | Decentralised coordination of mobile robots for target tracking with learnt utility models. | Zhe Xu, Robert Fitch, Salah Sukkarieh |
| 2012 | ICCE | Designing a Preliminary E-Textbook with the Information Model. | Zhe Xu, Haibo Li, Xiaoqing Gu |
| 2012 | ICRA | Learning utility models for decentralised coordinated target tracking. | Zhe Xu, Robert Fitch, Salah Sukkarieh |
| 2011 | ICRA | Decentralised control of robot teams with discrete and continuous decision variables. | Zhe Xu, Salah Sukkarieh |
| 2011 | ICRA | Design and analysis of an artificial finger joint for anthropomorphic robotic hands. | Zhe Xu, Emanuel Todorov, Brian Dellon, Yoky Matsuoka |
| 2011 | SAC | Sense-respond cloud mediator architecture for services evolution. | Jay Ramanathan, Rajiv Ramnath, Nisheet Singh, Zhe Xu, Yingxiao Xu |
| 2009 | ICNC | Artificial Neural Network Method to Construct Potential Energy Surfaces for Transition Metal Nanoparticles: Pt, Au, and Ag. | Zhe Xu, Xiajing Shi, Jianbo Li, Susan Lu, Lichang Wang |
| 2009 | ICRA | 1000 Trials: An empirically validated end effector that robustly grasps objects from the floor. | Zhe Xu, Travis Deyle, Charles C. Kemp |
| 2009 | WCNC | Implementing a cooperative MAC protocol for wireless video multicast. | zg Alay, Zhe Xu, Thanasis Korakis, Yao Wang, Shivendra S. Panwar |
| 2009 | WETICE | A Framework for Improving Enterprise Services by Mining Customer Edge Data. | Preethi Raghavan, Jay Ramanathan, Rajiv Ramnath, Zhe Xu |
| 2008 | HRI | A point-and-click interface for the real world: laser designation of objects for mobile manipulation. | Charles C. Kemp, Cressel D. Anderson, Hai Nguyen, Alexander J. Trevor, Zhe Xu |
| 2007 | ICCCN | Work-Conserving Fair-Aggregation Across Multiple Core Networks. | Jorge Arturo Cobb, Zhe Xu |
| 2006 | ICCCN | Guaranteed Throughput in Work-Conserving Flow Aggregation Through Deadline Reuse. | Jorge Arturo Cobb, Zhe Xu |
| 2006 | ICCS | A Fast Pseudo Stochastic Sequence Quantification Algorithm Based on Chebyshev Map and Its Application in Data Encryption. | Chong Fu, Pei-rong Wang, Xi-min Ma, Zhe Xu, Wei-yong Zhu |
| 2005 | GLOBECOM | Maintaining flow isolation in work-conserving flow aggregation. | Jorge Arturo Cobb, Zhe Xu |