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ORCIDJian Tang 0008
Person information
- affiliation: Midea Group Co Ltd, Foshan, China
- affiliation: Syracuse University, Department of Electrical Engineering and Computer Science, NY, USA
- affiliation (former): Montana State University, Department of Computer Science, Bozeman, MT, USA
- affiliation (PhD 2006): Arizona State University, Department of Computer Science and Engineering, Tempe, AZ, USA
Other persons with the same name
- Jian Tang — disambiguation page
- Jian Tang 0001 — Memorial University of Newfoundland, Department of Computer Science, St. John's, Canada
- Jian Tang 0002
![[0000-0003-2458-6475]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2458-6475")
— Lanzhou University, School of Mathematics and Statistics, China (and 2 more) - Jian Tang 0003 — Beijing University of Technology, College of Electronic and Control Engineering, China (and 1 more)
- Jian Tang 0004 — Wuhan University, GNSS Research Center, China (and 1 more)
- Jian Tang 0005 — HEC Montreal, QC, Canada (and 4 more)
- Jian Tang 0006 — Quzhou University, College of Mechanical Engineering, China
- Jian Tang 0007 — Sun Yat-sen University, School of Electronics and Information Engineering, Guangzhou, China
- Jian Tang 0009 — Central University of Finance and Economics, School of Information, Beijing, China
- Jian Tang 0010 — Technical University of Madrid, Spain
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2020 – today
- 2024
[j71]Yuxiao Ye, Hao Wang, Chi Harold Liu, Zipeng Dai, Guozheng Li, Guoren Wang, Jian Tang:
QoI-Aware Mobile Crowdsensing for Metaverse by Multi-Agent Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 42(3): 783-798 (2024)- [j70]Haoming Yang, Qiran Zhao, Hao Wang, Chi Harold Liu, Guozheng Li, Guoren Wang, Jian Tang, Dapeng Oliver Wu:
Indoor Periodic Fingerprint Collections by Vehicular Crowdsensing via Primal-Dual Multi-Agent Deep Reinforcement Learning. IEEE J. Sel. Areas Commun. 42(10): 2625-2641 (2024) - [j69]Yirui Zhou, Lei Wang, Mengxiao Lu, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yaxin Peng:
Generalization error for portable rewards in transfer imitation learning. Knowl. Based Syst. 300: 112230 (2024) - [j68]Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding:
Human Pose Transfer with Augmented Disentangled Feature Consistency. ACM Trans. Intell. Syst. Technol. 15(1): 3:1-3:22 (2024) - [j67]Wenzheng Hu, Zhengping Che, Ning Liu, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11595-11607 (2024) - [c138]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. AAAI 2024: 11258-11266 - [c137]Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang:
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. AAAI 2024: 15625-15633 - [c136]Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
Retrieval-Augmented Embodied Agents. CVPR 2024: 17985-17995 - [c135]Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Object-Centric Instruction Augmentation for Robotic Manipulation. ICRA 2024: 4318-4325 - [c134]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. ICRA 2024: 4333-4339 - [i58]Yichen Zhu, Minjie Zhu, Ning Liu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model. CoRR abs/2401.02330 (2024) - [i57]Junjie Wen, Yichen Zhu, Minjie Zhu, Jinming Li, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Object-Centric Instruction Augmentation for Robotic Manipulation. CoRR abs/2401.02814 (2024) - [i56]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Zhengping Che, Chaomin Shen, Yaxin Peng, Dong Liu, Feifei Feng, Jian Tang:
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. CoRR abs/2401.04181 (2024) - [i55]Kun Wu, Ning Liu, Zhen Zhao, Di Qiu, Jinming Li, Zhengping Che, Zhiyuan Xu, Qinru Qiu, Jian Tang:
SWBT: Similarity Weighted Behavior Transformer with the Imperfect Demonstration for Robotic Manipulation. CoRR abs/2401.08957 (2024) - [i54]Wanying Wang, Jinming Li, Yichen Zhu, Zhiyuan Xu, Zhengping Che, Yaxin Peng, Chaomin Shen, Dong Liu, Feifei Feng, Jian Tang:
Visual Robotic Manipulation with Depth-Aware Pretraining. CoRR abs/2401.09038 (2024) - [i53]Yinuo Zhao, Kun Wu, Tianjiao Yi, Zhiyuan Xu, Xiaozhu Ju, Zhengping Che, Qinru Qiu, Chi Harold Liu, Jian Tang:
An Efficient Generalizable Framework for Visuomotor Policies via Control-aware Augmentation and Privilege-guided Distillation. CoRR abs/2401.09258 (2024) - [i52]Dong Chen, Ning Liu, Yichen Zhu, Zhengping Che, Rui Ma, Fachao Zhang, Xiaofeng Mou, Yi Chang, Jian Tang:
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. CoRR abs/2402.00084 (2024) - [i51]Zhiyuan Xu, Kun Wu, Junjie Wen, Jinming Li, Ning Liu, Zhengping Che, Jian Tang:
A Survey on Robotics with Foundation Models: toward Embodied AI. CoRR abs/2402.02385 (2024) - [i50]Minjie Zhu, Yichen Zhu, Xin Liu, Ning Liu, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Zhicai Ou, Feifei Feng, Jian Tang:
Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models. CoRR abs/2403.06199 (2024) - [i49]Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
Retrieval-Augmented Embodied Agents. CoRR abs/2404.11699 (2024) - [i48]Jinming Li, Yichen Zhu, Zhiyuan Xu, Jindong Gu, Minjie Zhu, Xin Liu, Ning Liu, Yaxin Peng, Feifei Feng, Jian Tang:
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics? CoRR abs/2406.19693 (2024) - 2023
- [j66]Yinan Tang, Tongtong Yuan, Zhiyuan Xu, Weiyi Zhang, Jian Tang, Guoliang Xue, Yanzhi Wang:
AI-Enabled Experience-Driven Networking: Vision, State-of-the-Art and Future Directions. IEEE Netw. 37(3): 60-66 (2023) - [j65]Yirui Zhou, Mengxiao Lu, Xiaowei Liu, Zhengping Che, Zhiyuan Xu, Jian Tang, Yangchun Zhang, Yan Peng, Yaxin Peng:
Distributional generative adversarial imitation learning with reproducing kernel generalization. Neural Networks 165: 43-59 (2023) - [j64]Zhiyuan Xu, Dejun Yang, Chengxiang Yin, Jian Tang, Yanzhi Wang, Guoliang Xue:
A Co-Scheduling Framework for DNN Models on Mobile and Edge Devices With Heterogeneous Hardware. IEEE Trans. Mob. Comput. 22(3): 1275-1288 (2023) - [j63]Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu, Junliang Chen:
An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web. IEEE Trans. Mob. Comput. 22(4): 1950-1967 (2023) - [j62]Zipeng Dai, Chi Harold Liu, Rui Han, Guoren Wang, Kin K. Leung, Jian Tang:
Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 22(4): 2038-2052 (2023) - [j61]Xiaofeng Ding, Tieyong Zeng, Jian Tang, Zhengping Che, Yaxin Peng:
SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Trans. Multim. 25: 5720-5732 (2023) - [j60]Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang:
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9847-9858 (2023) - [j59]Jianxin Zhao, Yanhao Feng, Xinyu Chang, Peng Xu, Shilin Li, Chi Harold Liu, Wenke Yu, Jian Tang, Jon Crowcroft:
Energy-Efficient and Fair IoT Data Distribution in Decentralised Federated Learning. IEEE Trans. Netw. Sci. Eng. 10(3): 1352-1363 (2023) - [c133]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-Based Networks. CVPR 2023: 5302-5312 - [c132]Yichen Zhu, Qiqi Zhou, Ning Liu, Zhiyuan Xu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector. CVPR 2023: 19723-19733 - [c131]Yuxiao Ye, Chi Harold Liu, Zipeng Dai, Jianxin Zhao, Ye Yuan, Guoren Wang, Jian Tang:
Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning. ICDE 2023: 205-217 - [c130]Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang:
CMG-Net: An End-to-End Contact-based Multi-Finger Dexterous Grasping Network. ICRA 2023: 9125-9131 - [c129]Hancheng Zhang, Guozheng Li, Chi Harold Liu, Guoren Wang, Jian Tang:
HiMacMic: Hierarchical Multi-Agent Deep Reinforcement Learning with Dynamic Asynchronous Macro Strategy. KDD 2023: 3239-3248 - [c128]Haowen Wang, Zhipeng Fan, Zhen Zhao, Zhengping Che, Zhiyuan Xu, Dong Liu, Feifei Feng, Yakun Huang, Xiuquan Qiao, Jian Tang:
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field. ACM Multimedia 2023: 3676-3685 - [i47]Yaomin Huang, Ning Liu, Zhengping Che, Zhiyuan Xu, Chaomin Shen, Yaxin Peng, Guixu Zhang, Xinmei Liu, Feifei Feng, Jian Tang:
CP3: Channel Pruning Plug-in for Point-based Networks. CoRR abs/2303.13097 (2023) - [i46]Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu Zhang, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang:
CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network. CoRR abs/2303.13182 (2023) - [i45]Haowen Wang, Zhengping Che, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang:
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. CoRR abs/2306.03584 (2023) - [i44]Haowen Wang, Zhipeng Fan, Zhen Zhao, Zhengping Che, Zhiyuan Xu, Dong Liu, Feifei Feng, Yakun Huang, Xiuquan Qiao, Jian Tang:
DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field. CoRR abs/2308.02239 (2023) - [i43]Wanying Wang, Yichen Zhu, Yirui Zhou, Chaomin Shen, Jian Tang, Zhiyuan Xu, Yaxin Peng, Yangchun Zhang:
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective. CoRR abs/2312.11214 (2023) - [i42]Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Cross-Modal Reasoning with Event Correlation for Video Question Answering. CoRR abs/2312.12721 (2023) - [i41]Chengxiang Yin, Zhengping Che, Kun Wu, Zhiyuan Xu, Jian Tang:
Multi-Clue Reasoning with Memory Augmentation for Knowledge-based Visual Question Answering. CoRR abs/2312.12723 (2023) - 2022
- [j58]Xiaojie Li, Jian Tang, Chengxiang Yin:
Sequence-to-Sequence Learning for Prediction of Soil Temperature and Moisture. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j57]Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang:
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23(12): 23231-23243 (2022) - [j56]Zhiyuan Xu, Jian Tang, Chengxiang Yin, Yanzhi Wang, Guoliang Xue, Jing Wang, Mustafa Cenk Gursoy:
ReCARL: Resource Allocation in Cloud RANs With Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 21(7): 2533-2545 (2022) - [j55]Chengxiang Yin, Jian Tang, Tongtong Yuan, Zhiyuan Xu, Yanzhi Wang:
Bridging the Gap Between Semantic Segmentation and Instance Segmentation. IEEE Trans. Multim. 24: 4183-4196 (2022) - [j54]Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang:
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. IEEE Trans. Neural Networks Learn. Syst. 33(5): 2259-2273 (2022) - [j53]Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi:
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2301-2312 (2022) - [j52]Haiqin Wu, Liangmin Wang, Ke Cheng, Dejun Yang, Jian Tang, Guoliang Xue:
Privacy-Enhanced and Practical Truth Discovery in Two-Server Mobile Crowdsensing. IEEE Trans. Netw. Sci. Eng. 9(3): 1740-1755 (2022) - [j51]Qingfeng Tan, Xuebin Wang, Wei Shi, Jian Tang, Zhihong Tian:
An Anonymity Vulnerability in Tor. IEEE/ACM Trans. Netw. 30(6): 2574-2587 (2022) - [c127]Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving. AAAI 2022: 3481-3489 - [c126]Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang:
RGB-Depth Fusion GAN for Indoor Depth Completion. CVPR 2022: 6199-6208 - [c125]Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang:
Label-Guided Auxiliary Training Improves 3D Object Detector. ECCV (9) 2022: 684-700 - [c124]Yu Wang, Chi Harold Liu, Chengzhe Piao, Ye Yuan, Rui Han, Guoren Wang, Jian Tang:
Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning. ICDE 2022: 459-471 - [c123]Zipeng Dai, Chi Harold Liu, Yuxiao Ye, Rui Han, Ye Yuan, Guoren Wang, Jian Tang:
AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning. INFOCOM 2022: 1029-1038 - [c122]Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang:
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. ISQED 2022: 1-8 - [c121]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl:
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD 2022: 4912-4913 - [c120]Yichen Zhu, Ning Liu, Zhiyuan Xu, Xin Liu, Weibin Meng, Louis Wang, Zhicai Ou, Jian Tang:
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation. NeurIPS 2022 - [c119]Yirui Zhou, Yangchun Zhang, Xiaowei Liu, Wanying Wang, Zhengping Che, Zhiyuan Xu, Jian Tang, Yaxin Peng:
Generalization and Computation for Policy Classes of Generative Adversarial Imitation Learning. PPSN (1) 2022: 385-399 - [i40]Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu, Jian Tang, Chi Harold Liu:
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving. CoRR abs/2202.08557 (2022) - [i39]Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang:
RGB-Depth Fusion GAN for Indoor Depth Completion. CoRR abs/2203.10856 (2022) - [i38]Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang:
Label-Guided Auxiliary Training Improves 3D Object Detector. CoRR abs/2207.11753 (2022) - [i37]Kun Wu, Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang, Dejun Yang:
Continual Few-Shot Learning with Adversarial Class Storage. CoRR abs/2207.12303 (2022) - 2021
- [j50]Zhiyuan Xu, Kun Wu, Weiyi Zhang, Jian Tang, Yanzhi Wang, Guoliang Xue:
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking. IEEE J. Sel. Areas Commun. 39(8): 2476-2486 (2021) - [j49]Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye:
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2223-2236 (2021) - [j48]Yu Wang, Chengzhe Piao, Chi Harold Liu, Chijin Zhou, Jian Tang:
Modeling User Interests With Online Social Network Influence by Memory Augmented Sequence Learning. IEEE Trans. Netw. Sci. Eng. 8(1): 541-554 (2021) - [j47]Zhiyuan Xu, Dejun Yang, Jian Tang, Yinan Tang, Tongtong Yuan, Yanzhi Wang, Guoliang Xue:
An Actor-Critic-Based Transfer Learning Framework for Experience-Driven Networking. IEEE/ACM Trans. Netw. 29(1): 360-371 (2021) - [c118]Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang:
Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. ICCV 2021: 2157-2166 - [c117]Zejie Wang, Zhen Zhao, Zhao Jin, Zhengping Che, Jian Tang, Chaomin Shen, Yaxin Peng:
Multi-Stage Fusion for Multi-Class 3D Lidar Detection. ICCVW 2021: 3113-3121 - [c116]Chi Harold Liu, Chengzhe Piao, Xiaoxin Ma, Ye Yuan, Jian Tang, Guoren Wang, Kin K. Leung:
Modeling Citywide Crowd Flows using Attentive Convolutional LSTM. ICDE 2021: 217-228 - [c115]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? ICML 2021: 7011-7020 - [c114]Zipeng Dai, Hao Wang, Chi Harold Liu, Rui Han, Jian Tang, Guoren Wang:
Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach. INFOCOM 2021: 1-10 - [c113]Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang, Ling Liu:
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs. INFOCOM 2021: 1-10 - [c112]Teng Li, Zhiyuan Xu, Jian Tang, Kun Wu, Yanzhi Wang:
EXTRA: An Experience-driven Control Framework for Distributed Stream Data Processing with a Variable Number of Threads. IWQoS 2021: 1-11 - [c111]Bingyu Liu, Yuhong Guo, Jianan Jiang, Jian Tang, Weihong Deng:
Multi-view Correlation based Black-box Adversarial Attack for 3D Object Detection. KDD 2021: 1036-1044 - [c110]Hao Wang, Chi Harold Liu, Zipeng Dai, Jian Tang, Guoren Wang:
Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning. KDD 2021: 3679-3687 - [c109]Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl:
The 4th Artificial Intelligence of Things (AIoT) Workshop. KDD 2021: 4179-4180 - [c108]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: block-grained scaling of deep neural networks for mobile vision. MobiCom 2021: 406-419 - [i36]Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang:
Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? CoRR abs/2102.11068 (2021) - [i35]Kun Wu, Chengxiang Yin, Zhengping Che, Bo Jiang, Jian Tang, Zheng Guan, Gangyi Ding:
Human Pose Transfer with Disentangled Feature Consistency. CoRR abs/2107.10984 (2021) - [i34]Wenzheng Hu, Ning Liu, Zhengping Che, Mingyang Li, Jian Tang, Changshui Zhang, Jianqiang Wang:
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. CoRR abs/2110.10921 (2021) - [i33]Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Training BatchNorm Only in Neural Architecture Search and Beyond. CoRR abs/2112.00265 (2021) - [i32]Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang:
Make A Long Image Short: Adaptive Token Length for Vision Transformers. CoRR abs/2112.01686 (2021) - [i31]Rui Han, Qinglong Zhang, Chi Harold Liu, Guoren Wang, Jian Tang, Lydia Y. Chen:
LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision. CoRR abs/2112.09852 (2021) - 2020
- [j46]Yuhui Zhang, Ming Li, Dejun Yang, Jian Tang, Guoliang Xue, Jia Xu:
Tradeoff Between Location Quality and Privacy in Crowdsensing: An Optimization Perspective. IEEE Internet Things J. 7(4): 3535-3544 (2020) - [j45]Chi Harold Liu, Xiaoxin Ma, Xudong Gao, Jian Tang:
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 19(6): 1274-1285 (2020) - [j44]Yufeng Zhan, Chi Harold Liu, Yinuo Zhao, Jiang Zhang, Jian Tang:
Free Market of Multi-Leader Multi-Follower Mobile Crowdsensing: An Incentive Mechanism Design by Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 19(10): 2316-2329 (2020) - [j43]Chengxiang Yin, Jian Tang, Zhiyuan Xu, Yanzhi Wang:
Memory Augmented Deep Recurrent Neural Network for Video Question Answering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3159-3167 (2020) - [j42]Jian Tang, Rong Zheng, Özgür B. Akan, Weiyi Zhang:
Introduction to the Special Section on Learning-Based Modeling, Management, and Control for Computer and Communication Networks. IEEE Trans. Netw. Sci. Eng. 7(1): 153-154 (2020) - [c107]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. AAAI 2020: 4876-4883 - [c106]Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI 2020: 5117-5124 - [c105]Shuang Li, Chi Harold Liu, Qiuxia Lin, Binhui Xie, Zhengming Ding, Gao Huang, Jian Tang:
Domain Conditioned Adaptation Network. AAAI 2020: 11386-11393 - [c104]Zixiang Pei, Rongheng Lin, Xiubao Zhang, Haifeng Shen, Jian Tang, Yi Yang:
CFM: A Consistency Filtering Mechanism for Road Damage Detection. IEEE BigData 2020: 5584-5591 - [c103]Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang:
Differentiable Feature Aggregation Search for Knowledge Distillation. ECCV (17) 2020: 469-484 - [c102]Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang:
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) 2020: 629-645 - [c101]Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun (Tracy) Li, Weihong Deng, Jian Tang, Yi Yang, Jieping Ye:
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias. ICMI 2020: 768-776 - [c100]Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang, Jieping Ye:
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition. ICMI 2020: 835-840 - [c99]Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He:
$P^{2}$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. ICPR 2020: 9658-9665 - [c98]Chi Harold Liu, Chengzhe Piao, Jian Tang:
Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning. INFOCOM 2020: 199-208 - [c97]Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu, Junliang Chen:
DeepAdapter: A Collaborative Deep Learning Framework for the Mobile Web Using Context-Aware Network Pruning. INFOCOM 2020: 834-843 - [c96]Chi Harold Liu, Zipeng Dai, Haoming Yang, Jian Tang:
Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach. INFOCOM 2020: 1123-1132 - [c95]Ruozhou Yu, Guoliang Xue, Yinxin Wan, Jian Tang, Dejun Yang, Yusheng Ji:
Robust resource provisioning in time-varying edge networks. MobiHoc 2020: 21-30 - [c94]Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. NeurIPS 2020 - [i30]