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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.dagstuhl.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
[j73]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)- [j72]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) - [j71]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) - [j70]Haowen Wang, Zhengping Che, Yufan Yang, Mingyuan Wang, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang:
RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion. IEEE Trans. Pattern Anal. Mach. Intell. 46(11): 7088-7101 (2024) - [j69]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) - [j68]Yuanwei Zhu, Yakun Huang, Xiuquan Qiao, Jian Tang, Xiang Su:
HiVAT: Improving QoE for Hybrid Video Streaming Service With Adaptive Transcoding. IEEE Trans. Mob. Comput. 23(12): 11209-11226 (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 - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR abs/2403.07153 (2024) - [i54]Yichen Zhu, Zhicai Ou, Xiaofeng Mou, Jian Tang:
Retrieval-Augmented Embodied Agents. CoRR abs/2404.11699 (2024) - [i53]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) - [i52]Junjie Wen, Yichen Zhu, Jinming Li, Minjie Zhu, Kun Wu, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation. CoRR abs/2409.12514 (2024) - [i51]Minjie Zhu, Yichen Zhu, Jinming Li, Junjie Wen, Zhiyuan Xu, Ning Liu, Ran Cheng, Chaomin Shen, Yaxin Peng, Feifei Feng, Jian Tang:
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation. CoRR abs/2409.14411 (2024) - [i50]Kun Wu, Yichen Zhu, Jinming Li, Junjie Wen, Ning Liu, Zhiyuan Xu, Qinru Qiu, Jian Tang:
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation. CoRR abs/2409.18707 (2024) - [i49]Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang:
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching. CoRR abs/2410.23788 (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 - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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 - [i41]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) - [i40]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) - [i39]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) - [i38]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 - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]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) - [i32]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:
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