| 2026 | ACL | AOT*: Efficient Synthesis Planning via LLM-Empowered AND-OR Tree Search. | Xiaozhuang Song, Xuanhao Pan, Xinjian Zhao, Hangting Ye, Shufei Zhang, Jian Tang, Tianshu Yu |
| 2026 | INFOCOM | SF-STACK: Streamlining RDMA for Heterogeneous Telecom Storage. | Jian Tang, Wenming Zheng, Xiaoliang Wang, Xiaoping Fan, Fangfang Yan, Luren Liu, Yi Liao, Xingling Han, Anran Xu |
| 2025 | CIKM | Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. | Jiangxia Cao, Pengbo Xu, Yin Cheng, Kaiwei Guo, Jian Tang, Shijun Wang, Dewei Leng, Shuang Yang, Zhaojie Liu, Yanan Niu, Guorui Zhou, Kun Gai |
| 2025 | HCI | The Dynamic Flow and Coupling Mechanism of Virtual and Physical Spaces Under the Driving of Digital Culture: Taking the Geological Museum of Guizhou as an Example. | Dazhuang Lu, Jian Tang, Xiao Guo, Yuan Ding |
| 2025 | HiPC | SFCC: A Scalable and Flexible RDMA Congestion Control Algorithm. | Yi Liao, Anran Xu, Wenming Zheng, Biyao Che, Jian Tang, Yonghang Zhang, Xiaoping Fan, Luren Liu, Ying Chen |
| 2025 | HPCC | APSCC: Adaptive Congestion Control for Packet-Sprayed RDMA Networks in AI Clusters. | Jian Tang, Wenming Zheng, Fangfang Yan, Xiaoping Fan, Luren Liu, Anran Xu, Yi Liao |
| 2025 | ICCV | MIPI 2025 Challenge on Deblurring for Hybrid EVS Camera: Methods and Results. | Yaqi Wu, Zhihao Fan, Hirotaka Shinozaki, Frank Zhang, Xander Li, Alexis Baudron, Wenbin Feng, Shuang Zhao, Jin Han, Cheng Li, Yihui Shi, Dehua Song, Zheng Chen, Wenbo Li, Fenglong Song, Yihong Leng, Siming Zheng, Peng-Tao Jiang, Linxiao Shi, Jinwei Chen, Bo Li, Jiaojiao Li, Cheng Li, Jinao Song, Yan Chen, Yajing Wei, Yuqiang Yang, Jian Tang, Long Bao, Heng Sun, Yang Qiu, Kean Liu, Senyan Xu, Zhijing Sun, Jiaying Zhu, Chengjie Ge, Xingbo Wang, Yidi Liu, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Qinglin Liu, Wei Yu, Yunfan Lu, Xiangming Wang, Shuqi Ren, Haijin Zeng, Jinchao Li, Shiyang Zhou, Yongyong Chen, Qichao Dong, Junqi Lu |
| 2025 | ICCV | Training-Free Generation of Temporally Consistent Rewards from VLMs. | Yinuo Zhao, Jiale Yuan, Zhiyuan Xu, Xiaoshuai Hao, Xinyi Zhang, Kun Wu, Zhengping Che, Chi Harold Liu, Jian Tang |
| 2025 | ICLR | Fully-inductive Node Classification on Arbitrary Graphs. | Jianan Zhao, Zhaocheng Zhu, Mikhail Galkin, Hesham Mostafa, Michael M. Bronstein, Jian Tang |
| 2025 | ICLR | Structure Language Models for Protein Conformation Generation. | Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Chence Shi, Hongyu Guo, Yoshua Bengio, Jian Tang |
| 2025 | ICLR | GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning. | Minghao Xu, Yunteng Geng, Yihang Zhang, Ling Yang, Jian Tang, Wentao Zhang |
| 2025 | ICML | Aligning Protein Conformation Ensemble Generation with Physical Feedback. | Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu, Aurlie C. Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang |
| 2025 | INFOCOM | Jupiter: Fast and Resource-Efficient Collaborative Inference of Generative LLMs on Edge Devices. | Shengyuan Ye, Bei Ouyang, Liekang Zeng, Tianyi Qian, Xiaowen Chu, Jian Tang, Xu Chen |
| 2025 | IROS | Towards Extrinsic Dexterity Grasping in Unrestricted Environments. | Chengzhong Ma, Houxue Yang, Hanbo Zhang, Zeyang Liu, Chao Zhao, Jian Tang, Xuguang Lan, Nanning Zheng |
| 2025 | IROS | HACTS: a Human-As-Copilot Teleoperation System for Robot Learning. | Zhiyuan Xu, Yinuo Zhao, Kun Wu, Ning Liu, Junjie Ji, Zhengping Che, Chi Harold Liu, Jian Tang |
| 2025 | ICRA | Learning From Imperfect Demonstrations With Self-Supervision for Robotic Manipulation. | Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Jian Tang |
| 2025 | ICRA | Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. | Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Jian Tang |
| 2025 | ICRA | Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. | Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang |
| 2024 | AAAI | EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. | Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang |
| 2024 | AAAI | Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. | Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang |
| 2024 | CVPR | Retrieval-Augmented Embodied Agents. | Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang |
| 2024 | EMNLP | AI for Science in the Era of Large Language Models. | Zhenyu Bi, Minghao Xu, Jian Tang, Xuan Wang |
| 2024 | ICLR | Towards Foundation Models for Knowledge Graph Reasoning. | Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu |
| 2024 | ICLR | Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. | Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Mller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters |
| 2024 | ICLR | Evaluating Representation Learning on the Protein Structure Universe. | Arian Rokkum Jamasb, Alex Morehead, Chaitanya K. Joshi, Zuobai Zhang, Kieran Didi, Simon V. Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom L. Blundell |
| 2024 | ICLR | Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling. | Jiarui Lu, Bozitao Zhong, Zuobai Zhang, Jian Tang |
| 2024 | ICRA | SM | Haowen Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Liang Qiao, Yakun Huang, Zhipeng Fan, Xiuquan Qiao, Jian Tang |
| 2024 | ICRA | Object-Centric Instruction Augmentation for Robotic Manipulation. | Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang |
| 2024 | ICRA | Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. | Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang |
| 2024 | WWW | The 1st International Workshop on Graph Foundation Models (GFM). | Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang |
| 2024 | SIGMOD | NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention. | Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang |
| 2023 | AAAI | Signed Laplacian Graph Neural Networks. | Yu Li, Meng Qu, Jian Tang, Yi Chang |
| 2023 | AAAI | Flaky Performances When Pretraining on Relational Databases (Student Abstract). | Shengchao Liu, David Vzquez, Jian Tang, Pierre-Andr Nol |
| 2023 | CVPR | CP | Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang |
| 2023 | CVPR | ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. | Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang |
| 2023 | ECAI | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | ICDE | Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. | Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou |
| 2023 | ICDE | Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. | Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang |
| 2023 | ICLR | Learning on Large-scale Text-attributed Graphs via Variational Inference. | Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang |
| 2023 | ICLR | Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. | Shengchao Liu, Hongyu Guo, Jian Tang |
| 2023 | ICLR | Protein Sequence and Structure Co-Design with Equivariant Translation. | Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang |
| 2023 | ICLR | E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking. | Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang |
| 2023 | ICLR | Protein Representation Learning by Geometric Structure Pretraining. | Zuobai Zhang, Minghao Xu, Arian Rokkum Jamasb, Vijil Chenthamarakshan, Aurlie C. Lozano, Payel Das, Jian Tang |
| 2023 | ICML | A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. | Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang |
| 2023 | ICML | FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning. | Songtao Liu, Zhengkai Tu, Minkai Xu, Zuobai Zhang, Lu Lin, Rex Ying, Jian Tang, Peilin Zhao, Dinghao Wu |
| 2023 | ICML | ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts. | Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang |
| 2023 | ICNC | Principle, Structure, and Applications of Gallium Nitride High Electron Mobility Transistors (HEMTs). | Fei Yu, Qi-Ming Zeng, Rong Song, Jian Tang, Ya-Ting Wu |
| 2023 | INFOCOM | Scalable RDMA Transport with Efficient Connection Sharing. | Jian Tang, Xiaoliang Wang, Huichen Dai |
| 2023 | IROS | Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction. | Zewen Wu, Jian Tang, Xingyu Chen, Chengzhong Ma, Xuguang Lan, Nanning Zheng |
| 2023 | ICRA | CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. | Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang |
| 2023 | KDD | HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy. | Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang |
| 2023 | WWW | Meta-Generator Enhanced Multi-Domain Recommendation. | Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu, Han Liu |
| 2022 | AAAI | CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. | Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu |
| 2022 | ACL | Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. | Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, Hong Chen |
| 2022 | AISTATS | Structured Multi-task Learning for Molecular Property Prediction. | Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang |
| 2022 | CIKM | Entire Cost Enhanced Multi-Task Model for Online-to-Offline Conversion Rate Prediction. | Yingyi Zhang, Xianneng Li, Yahe Yu, Jian Tang, Huanfang Deng, Junya Lu, Yeyin Zhang, Qiancheng Jiang, Yunsen Xian, Liqian Yu |
| 2022 | CVPR | RGB-Depth Fusion GAN for Indoor Depth Completion. | Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang |
| 2022 | ECCV | Label-Guided Auxiliary Training Improves 3D Object Detector. | Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang |
| 2022 | ICDE | Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. | Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang |
| 2022 | ICDE | Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. | Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen |
| 2022 | ICLR | Pre-training Molecular Graph Representation with 3D Geometry. | Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang |
| 2022 | ICLR | Neural Structured Prediction for Inductive Node Classification. | Meng Qu, Huiyu Cai, Jian Tang |
| 2022 | ICLR | GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation. | Minkai Xu, Lantao Yu, Yang Song, Chence Shi, Stefano Ermon, Jian Tang |
| 2022 | ICML | Generative Coarse-Graining of Molecular Conformations. | Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess E. Smidt, Yusu Wang, Jian Tang, Rafael Gmez-Bombarelli |
| 2022 | ICML | Neural-Symbolic Models for Logical Queries on Knowledge Graphs. | Zhaocheng Zhu, Mikhail Galkin, Zuobai Zhang, Jian Tang |
| 2022 | ICNP | Tuning Target Delay for RTT-based Congestion Control. | Jian Tang, Tingting Xu, Cam-Tu Nguyen, Xiaoliang Wang, Sanglu Lu, Baoliu Ye |
| 2022 | INFOCOM | AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. | Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang |
| 2022 | IECON | Modeling and Stability Analysis of Grid Inverters Using Double Synchronous Reference Frame Current Control. | Yi Zhang, Zhixiang Zou, Zhiren Liu, Jian Tang, Xingqi Liu, Ruokai Xu |
| 2022 | KDD | The 5th Artificial Intelligence of Things (AIoT) Workshop. | Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl |
| 2022 | PPSN | Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. | Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng |
| 2021 | AAAI | GraphMix: Improved Training of GNNs for Semi-Supervised Learning. | Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang |
| 2021 | ICCV | Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. | Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang |
| 2021 | ICDE | Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. | Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang, Kin K. Leung |
| 2021 | ICLR | Predicting Infectiousness for Proactive Contact Tracing. | Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Mller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David L. Buckeridge, Gatan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schlkopf, Abhinav Sharma, Jian Tang, Andrew Williams |
| 2021 | ICLR | RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. | Meng Qu, Jun-Kun Chen, Louis-Pascal A. C. Xhonneux, Yoshua Bengio, Jian Tang |
| 2021 | ICLR | Learning Neural Generative Dynamics for Molecular Conformation Generation. | Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang |
| 2021 | ICML | Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? | Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang |
| 2021 | ICML | Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction. | Hangrui Bi, Hengyi Wang, Chence Shi, Connor W. Coley, Jian Tang, Hongyu Guo |
| 2021 | ICML | Learning Gradient Fields for Molecular Conformation Generation. | Chence Shi, Shitong Luo, Minkai Xu, Jian Tang |
| 2021 | ICML | An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. | Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gmez-Bombarelli, Jian Tang |
| 2021 | ICML | Self-supervised Graph-level Representation Learning with Local and Global Structure. | Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang |
| 2021 | IJCAI | Unsupervised Path Representation Learning with Curriculum Negative Sampling. | Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang |
| 2021 | INFOCOM | Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. | Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang |
| 2021 | INFOCOM | Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs. | Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang, Ling Liu |
| 2021 | IECON | An Improved Extended Phase Shift Modulation for DAB Converter with the Blocking Capacitor. | Jian Tang, Guo Xu, Liting Li, Jingtao Xu, Mei Su |
| 2021 | IWQoS | EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. | Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu, Yanzhi Wang |
| 2021 | KDD | Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. | Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng |
| 2021 | KDD | Artificial Intelligence for Drug Discovery. | Jian Tang, Fei Wang, Feixiong Cheng |
| 2021 | KDD | Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning. | Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang |
| 2021 | KDD | The 4th Artificial Intelligence of Things (AIoT) Workshop. | Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl |
| 2021 | MOBICOM | LegoDNN: block-grained scaling of deep neural networks for mobile vision. | Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen |
| 2020 | AAAI | AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. | Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye |
| 2020 | AAAI | Domain Conditioned Adaptation Network. | Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang |
| 2020 | AAAI | PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. | Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | ECCV | Differentiable Feature Aggregation Search for Knowledge Distillation. | Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang |
| 2020 | ECCV | An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. | Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | ICASSP | Deep Geometric Knowledge Distillation with Graphs. | Carlos Lassance, Myriam Bontonou, Ghouthi Boukli Hacene, Vincent Gripon, Jian Tang, Antonio Ortega |
| 2020 | ICLR | GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation. | Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang |
| 2020 | ICLR | InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization. | Fan-Yun Sun, Jordan Hoffmann, Vikas Verma, Jian Tang |
| 2020 | ICMI | Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition. | Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang, Jieping Ye |
| 2020 | ICMI | A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias. | Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun (Tracy) Li, Weihong Deng, Jian Tang, Yi Yang, Jieping Ye |
| 2020 | ICML | Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. | Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio |
| 2020 | ICML | Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs. | Meng Qu, Tianyu Gao, Louis-Pascal A. C. Xhonneux, Jian Tang |
| 2020 | ICML | A Graph to Graphs Framework for Retrosynthesis Prediction. | Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang |
| 2020 | ICML | Continuous Graph Neural Networks. | Louis-Pascal A. C. Xhonneux, Meng Qu, Jian Tang |
| 2020 | ICPR | $P^{2}$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. | Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He |
| 2020 | INFOCOM | DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning. | Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu, Junliang Chen |
| 2020 | INFOCOM | Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach. | Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang |
| 2020 | INFOCOM | Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. | Chi Harold Liu, Chengzhe Piao, Jian Tang |
| 2020 | MOBIHOC | Robust resource provisioning in time-varying edge networks. | Ruozhou Yu, Guoliang Xue, Yinxin Wan, Jian Tang, Dejun Yang, Yusheng Ji |
| 2019 | AAAI | Contextualized Non-Local Neural Networks for Sequence Learning. | Pengfei Liu, Shuaichen Chang, Xuanjing Huang, Jian Tang, Jackie Chi Kit Cheung |
| 2019 | AAAI | Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. | Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin |
| 2019 | AMIA | Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction. | Luchen Liu, Haoran Li, Zhiting Hu, Haoran Shi, Zichang Wang, Jian Tang, Ming Zhang |
| 2019 | CIKM | GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. | Huawei Shen, Jian Tang, Peng Bao |
| 2019 | CIKM | AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks. | Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang |
| 2019 | CVPR | Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning. | Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen |
| 2019 | GLOBECOM | P4PCN: Privacy-Preserving Path Probing for Payment Channel Networks. | Ruozhou Yu, Yinxin Wan, Vishnu Teja Kilari, Guoliang Xue, Jian Tang, Dejun Yang |
| 2019 | GLOBECOM | Optimizing Location Quality in Privacy Preserving Crowdsensing. | Yuhui Zhang, Ming Li, Dejun Yang, Jian Tang, Guoliang Xue |
| 2019 | ICDCS | A Sybil-Resistant Truth Discovery Framework for Mobile Crowdsensing. | Jian Lin, Dejun Yang, Kun Wu, Jian Tang, Guoliang Xue |
| 2019 | ICLR | RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. | Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang |
| 2019 | ICML | GMNN: Graph Markov Neural Networks. | Meng Qu, Yoshua Bengio, Jian Tang |
| 2019 | IJCAI | Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. | Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu |
| 2019 | KDD | Deep Reinforcement Learning with Applications in Transportation. | Zhiwei (Tony) Qin, Jian Tang, Jieping Ye |
| 2019 | MVA | The CASE Dataset of Candidate Spaces for Advert Implantation. | Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, Franois Piti |
| 2019 | QoMEX | The ALOS Dataset for Advert Localization in Outdoor Scenes. | Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, Franois Piti |
| 2019 | WWW | GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding. | Zhaocheng Zhu, Shizhen Xu, Jian Tang, Meng Qu |
| 2019 | SIGIR | DivGraphPointer: A Graph Pointer Network for Extracting Diverse Keyphrases. | Zhiqing Sun, Jian Tang, Pan Du, Zhi-Hong Deng, Jian-Yun Nie |
| 2019 | WSDM | Session-Based Social Recommendation via Dynamic Graph Attention Networks. | Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang |
| 2018 | AAAI | Adversarial Network Embedding. | Quanyu Dai, Qiang Li, Jian Tang, Dan Wang |
| 2018 | AAAI | Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction. | Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang |
| 2018 | AAAI | Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. | Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin |
| 2018 | ECCV | A Systematic DNN Weight Pruning Framework Using Alternating Direction Method of Multipliers. | Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang |
| 2018 | FUSION | A Parallel Platform for Fusion of Heterogeneous Stream Data. | Shan Zhang, Jielong Xu, Sora Choi, Jian Tang, Pramod K. Varshney, Zhenhua Chen |
| 2018 | ICCCN | CoinExpress: A Fast Payment Routing Mechanism in Blockchain-Based Payment Channel Networks. | Ruozhou Yu, Guoliang Xue, Vishnu Teja Kilari, Dejun Yang, Jian Tang |
| 2018 | INFOCOM | Experience-driven Networking: A Deep Reinforcement Learning based Approach. | Zhiyuan Xu, Jian Tang, Jingsong Meng, Weiyi Zhang, Yanzhi Wang, Chi Harold Liu, Dejun Yang |
| 2018 | Interspeech | Acoustic Modeling with Densely Connected Residual Network for Multichannel Speech Recognition. | Jian Tang, Yan Song, Lirong Dai, Ian McLoughlin |
| 2018 | IWQoS | How Would you Like Your Packets Delivered? An SDN-Enabled Open Platform for QoS Routing. | Chenfei Gao, Vahid Rajabian-Schwart, Weiyi Zhang, Guoliang Xue, Jian Tang |
| 2018 | KDD | DeepInf: Social Influence Prediction with Deep Learning. | Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, Jie Tang |
| 2018 | WSDM | Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. | Meng Qu, Jian Tang, Jiawei Han |
| 2017 | AMIA | Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. | Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei |
| 2017 | CIKM | An Attention-based Collaboration Framework for Multi-View Network Representation Learning. | Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han |
| 2017 | GLOBECOM | DEMUR: Dependable Multipath Routing in Software Defined Networking for ISP Backbone. | Chenfei Gao, Weiyi Zhang, Jian Tang, Rakesh K. Sinha, Kostas N. Oikonomou |
| 2017 | GLOBECOM | Joint Mode Selection and Resource Allocation for D2D Communications via Vertex Coloring. | Yi Li, Mustafa Cenk Gursoy, Senem Velipasalar, Jian Tang |
| 2017 | ICDCS | A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning. | Ning Liu, Zhe Li, Jielong Xu, Zhiyuan Xu, Sheng Lin, Qinru Qiu, Jian Tang, Yanzhi Wang |
| 2017 | ICDCS | Robust Incentive Tree Design for Mobile Crowdsensing. | Xiang Zhang, Guoliang Xue, Ruozhou Yu, Dejun Yang, Jian Tang |
| 2017 | ICML | Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank. | Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan |
| 2017 | ICONIP | Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. | Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan |
| 2017 | INFOCOM | Sybil-proof incentive mechanisms for crowdsensing. | Jian Lin, Ming Li, Dejun Yang, Guoliang Xue, Jian Tang |
| 2017 | INFOCOM | Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach. | Jing Wang, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Guoliang Xue, Xing Zhang, Dejun Yang |
| 2017 | KDD | End-to-end Learning for Short Text Expansion. | Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei |
| 2017 | MASS | QUAC: Quality-Aware Contract-Based Incentive Mechanisms for Crowdsensing. | Ming Li, Jian Lin, Dejun Yang, Guoliang Xue, Jian Tang |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan |
| 2017 | VTC | Efficient Real-Fourier Domain-Based Color Shift Keying OFDM Implemented with Hartley Transform for Visible Light Communication System. | Jian Tang, Lin Zhang |
| 2016 | GLOBECOM | LIPS: Lifestyle Learning via Mobile Phone Sensing. | Xiang Sheng, Jian Tang, Jing Wang, Teng Li, Guoliang Xue, Dejun Yang |
| 2016 | GLOBECOM | Non-Preemptive Coflow Scheduling and Routing. | Ruozhou Yu, Guoliang Xue, Xiang Zhang, Jian Tang |
| 2016 | GLOBECOM | A Spectrum Auction under Physical Interference Model. | Yuhui Zhang, Dejun Yang, Guoliang Xue, Jian Tang |
| 2016 | HCI | Exploring the Motivational Affordances of Danmaku Video Sharing Websites: Evidence from Gamification Design. | Yuxiang Zhao, Jian Tang |
| 2016 | ICASSP | Speaker adaptation OF RNN-BLSTM for speech recognition based on speaker code. | Zhiying Huang, Jian Tang, Shaofei Xue, Li-Rong Dai |
| 2016 | ICDCS | Quality-Aware and Fine-Grained Incentive Mechanisms for Mobile Crowdsensing. | Jing Wang, Jian Tang, Dejun Yang, Erica Wang, Guoliang Xue |
| 2016 | ICNP | R-Cloud: A cloud framework for enabling Radio-as-a-Service over a wireless substrate. | Chenfei Gao, Gozde Ozcan, Jian Tang, Mustafa Cenk Gursoy, Weiyi Zhang |
| 2016 | INFOCOM | SpecWatch: Adversarial spectrum usage monitoring in CRNs with unknown statistics. | Ming Li, Dejun Yang, Jian Lin, Ming Li, Jian Tang |
| 2016 | Interspeech | Future Context Attention for Unidirectional LSTM Based Acoustic Model. | Jian Tang, Shiliang Zhang, Si Wei, Li-Rong Dai |
| 2016 | Interspeech | RNN-BLSTM Based Multi-Pitch Estimation. | Jianshu Zhang, Jian Tang, Li-Rong Dai |
| 2016 | ICWSM | Space Collapse: Reinforcing, Reconfiguring and Enhancing Chinese Social Practices through WeChat. | Yang Wang, Yao Li, Bryan C. Semaan, Jian Tang |
| 2016 | WWW | Voting with Their Feet: Inferring User Preferences from App Management Activities. | Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei |
| 2016 | WWW | Visualizing Large-scale and High-dimensional Data. | Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei |
| 2015 | CHI | Dwelling and Fleeting Encounters: Exploring Why People Use WeChat - A Mobile Instant Messenger. | Yang Wang, Yao Li, Jian Tang |
| 2015 | GLOBECOM | Enabling Green Mobile Crowd Sensing via Optimized Task Scheduling on Smartphones. | Jing Wang, Jian Tang, Xiang Sheng, Guoliang Xue, Dejun Yang |
| 2015 | INFOCOM | Truthful incentive mechanisms for crowdsourcing. | Xiang Zhang, Guoliang Xue, Ruozhou Yu, Dejun Yang, Jian Tang |
| 2015 | KDD | PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. | Jian Tang, Meng Qu, Qiaozhu Mei |
| 2015 | PODC | Brief Announcement: Fault-tolerant Broadcast in Anonymous Distributed Systems with Fair Lossy Communication Channels. | Jian Tang, Mikel Larrea, Sergio Arvalo, Ernesto Jimnez |
| 2015 | WWW | LINE: Large-scale Information Network Embedding. | Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei |
| 2014 | AAAI | Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network. | Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen |
| 2014 | GLOBECOM | You better be honest: Discouraging free-riding and false-reporting in mobile crowdsourcing. | Xiang Zhang, Guoliang Xue, Ruozhou Yu, Dejun Yang, Jian Tang |
| 2014 | ICDCS | SOR: An Objective Ranking System Based on Mobile Phone Sensing. | Xiang Sheng, Jian Tang, Jing Wang, Chenfei Gao, Guoliang Xue |
| 2014 | ICDCS | T-Storm: Traffic-Aware Online Scheduling in Storm. | Jielong Xu, Zhenhua Chen, Jian Tang, Sen Su |
| 2014 | ICML | Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. | Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang |
| 2014 | INFOCOM | Relax, but Do Not Sleep: A new perspective on Green Wireless Networking. | Chenfei Gao, Weiyi Zhang, Jian Tang, Chonggang Wang, Shihong Zou, Sen Su |
| 2013 | ICDCS | Signal-Aware Green Wireless Relay Network Design. | Chenfei Gao, Jian Tang, Xiang Sheng, Weiyi Zhang, Chonggang Wang |
| 2013 | INFOCOM | Beam scheduling and relay assignment in wireless relay networks with smart antennas. | Brendan Mumey, Jian Tang, Ivan R. Judson, Richard S. Wolff |
| 2013 | INFOCOM | Leveraging load migration and basestaion consolidation for green communications in virtualized Cognitive Radio Networks. | Xiang Sheng, Jian Tang, Chenfei Gao, Weiyi Zhang, Chonggang Wang |
| 2013 | KDD | One theme in all views: modeling consensus topics in multiple contexts. | Jian Tang, Ming Zhang, Qiaozhu Mei |
| 2012 | APWEB | Integrating Temporal Usage Pattern into Personalized Tag Prediction. | Lei Zhang, Jian Tang, Ming Zhang |
| 2012 | INFOCOM | DEAR: Delay-bounded Energy-constrained Adaptive Routing in wireless sensor networks. | Shi Bai, Weiyi Zhang, Guoliang Xue, Jian Tang, Chonggang Wang |
| 2012 | INFOCOM | Energy-efficient collaborative sensing with mobile phones. | Xiang Sheng, Jian Tang, Weiyi Zhang |
| 2012 | INFOCOM | On exploiting flow allocation with rate adaptation for green networking. | Jian Tang, Brendan Mumey, Yun Xing, Andy Johnson |
| 2012 | ISNN | Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters. | Jian Tang, Lijie Zhao, Yi-miao Li, Tianyou Chai, Si-Zhao Joe Qin |
| 2012 | ISNN | Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal. | Jian Tang, Lijie Zhao, Jia Long, Tianyou Chai, Wen Yu |
| 2012 | ISNN | Modeling Spectral Data Based on Mutual Information and Kernel Extreme Learning Machines. | Lijie Zhao, Jian Tang, Tianyou Chai |
| 2012 | MOBICOM | Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing. | Dejun Yang, Guoliang Xue, Xi Fang, Jian Tang |
| 2011 | AAAI | Collaborative Users' Brand Preference Mining across Multiple Domains from Implicit Feedbacks. | Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen |
| 2011 | CIKM | Learning to rank audience for behavioral targeting in display ads. | Jian Tang, Ning Liu, Jun Yan, Yelong Shen, Shaodan Guo, Bin Gao, Shuicheng Yan, Ming Zhang |
| 2011 | GLOBECOM | Relay Beam Selection with Directional Antennas. | Brendan Mumey, Jian Tang, Yun Xing, Richard S. Wolff |
| 2011 | GLOBECOM | Wakeup Scheduling in Roadside Directional Sensor Networks. | Jian Tang, Binhai Zhu, Li Zhang, Roberto C. Hincapi |
| 2011 | INFOCOM | DARP: Distance-aware relay placement in WiMAX mesh networks. | Weiyi Zhang, Shi Bai, Guoliang Xue, Jian Tang, Chonggang Wang |
| 2011 | MASS | Leveraging Multi-User Diversity, Channel Diversity and Spatial Reuse for Efficient Scheduling in Wireless Relay Networks. | Shen Wan, Jian Tang, Brendan Mumey, Richard S. Wolff, Weiyi Zhang |
| 2010 | GLOBECOM | On Exploiting Cooperative, Channel and Multiuser Diversities in Wireless Relay Networks. | Jian Tang, Brendan Mumey, Kairat Zhubayev, Richard S. Wolff |
| 2010 | GLOBECOM | Relay Station Placement for Cooperative Communications in WiMAX Networks. | Dejun Yang, Xi Fang, Guoliang Xue, Jian Tang |
| 2010 | GLOBECOM | Cognitive Radio Scheduling for Overwater Communications. | Weiyi Zhang, Shi Bai, Yang Liu, Jian Tang |
| 2010 | INFOCOM | Reliable Adaptive Multipath Provisioning with Bandwidth and Differential Delay Constraints. | Weiyi Zhang, Jian Tang, Chonggang Wang, Shanaka de Soysa |
| 2010 | SECON | Transmission Scheduling for Routing Paths in Cognitive Radio Mesh Networks. | Brendan Mumey, Xia Zhao, Jian Tang, Richard S. Wolff |
| 2010 | SECON | Leveraging Cognitive Radios for Effective Communications over Water. | Jian Tang, Li Zhang, Richard S. Wolff, Weiyi Zhang |
| 2009 | GLOBECOM | REPARE: Regenerator Placement and Routing Establishment in Translucent Networks. | Weiyi Zhang, Jian Tang, Kendall E. Nygard, Chonggang Wang |
| 2009 | GLOBECOM | Strong Barrier Coverage with Directional Sensors. | Li Zhang, Jian Tang, Weiyi Zhang |
| 2009 | HIS | Multi-point Calibration Detecting Method of Non-linear Analogue Quantity. | Wanchun Qu, Jian Tang |
| 2009 | HIS | Forecasting Increment Control Methods in Regulated Period for the Temperature of Beer Fermentation. | Jian Tang, Wanchun Qu |
| 2009 | ISNN | An Adaptive Channel Handoff Strategy for Opportunistic Spectrum Sharing in Cognitive Global Control Plane Architecture. | Zhiming Xu, Yu Wang, Jingguo Zhu, Jian Tang |
| 2009 | SECON | Interference Aware Routing and Scheduling in Wireless Backhaul Networks with Smart Antennas. | Yajing Xu, Shen Wan, Jian Tang, Richard S. Wolff |
| 2008 | GLOBECOM | QoS Routing in Wireless Mesh Networks with Cognitive Radios. | Roberto C. Hincapi, Jian Tang, Guoliang Xue, Roberto Bustamante |
| 2008 | GLOBECOM | Dynamic Wavelength Routing in WDM Networks under Multiple Signal Quality Constraints. | Weiyi Zhang, Guoliang Xue, Jian Tang, Krishnaiyan Thulasiraman |
| 2008 | GPC | A Probability-Based Framework for Dynamic Resource Scheduling in Grid Environment. | San-Yih Hwang, Jian Tang, Hong-Yang Lin |
| 2008 | INFOCOM | Constrained Relay Node Placement in Wireless Sensor Networks to Meet Connectivity and Survivability Requirements. | Satyajayant Misra, Seung Don Hong, Guoliang Xue, Jian Tang |
| 2008 | IDEAS | A bottom-up approach for XML documents classification. | Junwei Wu, Jian Tang |
| 2008 | NSDI | D3S: Debugging Deployed Distributed Systems. | Xuezheng Liu, Zhenyu Guo, Xi Wang, Feibo Chen, Xiaochen Lian, Jian Tang, Ming Wu, M. Frans Kaashoek, Zheng Zhang |
| 2008 | OSDI | R2: An Application-Level Kernel for Record and Replay. | Zhenyu Guo, Xi Wang, Jian Tang, Xuezheng Liu, Zhilei Xu, Ming Wu, M. Frans Kaashoek, Zheng Zhang |
| 2007 | Qshine | Spectrum allocation and scheduling in dynamic spectrum access wireless networks. | Jian Tang, Satyajayant Misra, Guoliang Xue |
| 2007 | SAC | Integrating gene ontology into discriminative powers of genes for feature selection in microarray data. | Jianlong Qi, Jian Tang |
| 2007 | SNPD | Study on The Property of Training Samples and Learning Space with Genetic Algorithms. | Jingsong He, Jian Tang, Qiansheng Fang |
| 2007 | SNPD | A New Optimization Engine for the LSF Vector Quantization. | Jian Tang, Jingsong He, Lu Huang |
| 2006 | CIBCB | Gene Ontology Driven Feature Selection from Microarray Gene Expression Data. | Jianlong Qi, Jian Tang |
| 2006 | DaWaK | A Method for Feature Selection on Microarray Data Using Support Vector Machine. | Xiao Bing Huang, Jian Tang |
| 2006 | INFOCOM | Maximum Throughput and Fair Bandwidth Allocation in Multi-Channel Wireless Mesh Networks. | Jian Tang, Guoliang Xue, Weiyi Zhang |
| 2006 | Qshine | End-to-end rate allocation in multi-radio wireless mesh networks: cross-layer schemes. | Jian Tang, Guoliang Xue, Weiyi Zhang |
| 2006 | RE | Improving the Modeling of Use Case Relationship. | Jian Tang, Donglin Liang |
| 2005 | GLOBECOM | Dynamic light trail routing and protection issues in WDM optical networks. | Weiyi Zhang, Guoliang Xue, Jian Tang, Krishnaiyan Thulasiraman |
| 2005 | INFOCOM | Interference-aware routing in multihop wireless networks using directional antennas. | Jian Tang, Guoliang Xue, Christopher Chandler, Weiyi Zhang |
| 2005 | INFOCOM | Linear time construction of redundant trees for recovery schemes enhancing QoP and QoS. | Weiyi Zhang, Guoliang Xue, Jian Tang, Krishnaiyan Thulasiraman |
| 2005 | ICWS | SPL: An Structured Pipeline Method for Frequent Remote Service Interactions in Bioinformatics Workflows. | Xiao Bing Huang, Jian Tang |
| 2005 | ISNN | Using Ensemble Information in Swarming Artificial Neural Networks. | Jian Tang, Zengqi Sun, Jihong Zhu |
| 2005 | ISNN | A Novel Path Planning Approach Based on AppART and Particle Swarm Optimization. | Jian Tang, Jihong Zhu, Zengqi Sun |
| 2005 | MOBIHOC | Interference-aware topology control and QoS routing in multi-channel wireless mesh networks. | Jian Tang, Guoliang Xue, Weiyi Zhang |
| 2005 | Qshine | Link Scheduling with Power Control for Throughput Enhancement in Multihop Wireless Networks. | Jian Tang, Guoliang Xue, Christopher Chandler, Weiyi Zhang |
| 2004 | MASS | Reliable routing in mobile ad hoc networks based on mobility prediction. | Jian Tang, Guoliang Xue, Weiyi Zhang |
| 2003 | DaWaK | On Complementarity of Cluster and Outlier Detection Schemes. | Zhixiang Chen, Ada Wai-Chee Fu, Jian Tang |
| 2003 | ICASSP | Parametric vector quantization for coding percussive sounds in music. | Ye Wang, Jian Tang, Ali Ahmaniemi, Markus Vaalgamaa |
| 2003 | IDEAS | Modeling and Efficient Mining of Intentional Knowledge of Outliers. | Zhixiang Chen, Jian Tang, Ada Wai-Chee Fu |
| 2002 | PAKDD | Enhancing Effectiveness of Outlier Detections for Low Density Patterns. | Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David Wai-Lok Cheung |
| 2001 | DS | Secure E-Commerce Transactions, Modeling and Implementation Aspects. | Jian Tang, Ada Wai-Chee Fu |
| 2001 | PAKDD | Hierarchical Classification of Documents with Error Control. | Chun Hung Cheng, Jian Tang, Ada Wai-Chee Fu, Irwin King |
| 2000 | ISMIS | Mining | Ada Wai-Chee Fu, Renfrew W.-w. Kwong, Jian Tang |
| 1999 | CoopIS | Ad-Hoc Recovery in Workflows: A Formal Model and Some System Support Aspects. | Jian Tang |
| 1999 | DASFAA | Mining Exception Instances to Facilitate Workflow Exception Handling. | San-Yih Hwang, Sun-Fa Ho, Jian Tang |
| 1999 | IDEAS | A Workflow Management Systems Architecture that Support Ad-Hoc Recoveries. | Jian Tang, Xuemin Xing |
| 1998 | CIKM | Using Incremental Pruning to Increase the Efficiency of Dynamic Itemset Counting for Association Rules. | Jian Tang |
| 1998 | EDBT | A Scheme to Specify and Implement Ad-Hoc Recovery in Workflow Systems. | Jian Tang, San-Yih Hwang |
| 1997 | ISCC | An efficient VP-packing algorithm in ATM self-healing networks. | Jian Tang, Tian-Shu Feng, Zhen-Ming Lei |
| 1996 | CIKM | Handling Uncertainties in Workflow Applications. | Jian Tang, San-Yih Hwang |
| 1996 | DEXA | Coping with Mismatched Semantics of Dependencies in Workflow Applications. | Jian Tang, San-Yih Hwang |
| 1995 | CIKM | Transaction-oriented Work-flow Concepts in Inter-Organizational Environments. | Jian Tang, Jari Veijalainen |
| 1995 | CoopIS | Enforcing Inter-Task Dependencies in Transactional Workflows. | Jian Tang, Jari Veijalainen |
| 1994 | ICDCS | An Efficient Method for Mutual Exclusion in Truly Distributed Systems. | Hao Chen, Jian Tang |
| 1992 | SRDS | Managing Replicated Data in Heterogeneous Database Systems. | Jian Tang |
| 1989 | ICDE | A Scheme for Maintaining Consistency and Availability of Replicated Files in a Partitioned Distributed System. | Jian Tang, N. Natarajan |
| 1989 | SIGMOD | A Static Pessimistic Scheme for Handling Replicated Databases. | Jian Tang, N. Natarajan |
| 1987 | SRDS | Synchronization of Redundant Computation in a Distributed System. | N. Natarajan, Jian Tang |