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Jun Wang

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation


Sep 08, 2021
Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang

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* corresponding to ; Accepted by CIKM 2021 
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Recommendation Fairness: From Static to Dynamic


Sep 05, 2021
Dell Zhang, Jun Wang

* A position paper for the FAccTRec-2021 workshop 
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On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games


Sep 04, 2021
Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang


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Top-N Recommendation with Counterfactual User Preference Simulation


Sep 02, 2021
Mengyue Yang, Quanyu Dai, Zhenhua Dong, Xu Chen, Xiuqiang He, Jun Wang

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Bilateral Denoising Diffusion Models


Aug 31, 2021
Max W. Y. Lam, Jun Wang, Rongjie Huang, Dan Su, Dong Yu

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PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining


Aug 25, 2021
Jun Wang, Hefeng Zhou, Xiaohan Yu

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* 9 pages, 3 figures, 6 tables. arXiv admin note: substantial text overlap with arXiv:2104.00231 
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Settling the Variance of Multi-Agent Policy Gradients


Aug 20, 2021
Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang

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Learning to Compute Approximate Nash Equilibrium for Normal-form Games


Aug 17, 2021
Zhijian Duan, Yali Du, Jun Wang, Xiaotie Deng

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A Novel 3D Non-Stationary GBSM for 6G THz Ultra-Massive MIMO Wireless Systems


Aug 14, 2021
Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao

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Hierarchical Image-Goal Navigation in Real Crowded Scenarios


Aug 13, 2021
Qiaoyun Wu, Jun Wang, Jing Liang, Xiaoxi Gong, Dinesh Manocha

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* 12 pages 
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Distributed Learning for Time-varying Networks: A Scalable Design


Jul 31, 2021
Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang

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DL-AMP and DBTO: An Automatic Merge Planning and Trajectory Optimization and Its Application in Autonomous Driving


Jul 30, 2021
Yuncheng Jiang, Qi Lin, Jiwei Zhang, Jun Wang, Danjian Qian, Yuxi Cai

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* 8 pages, preprint on Feb 2, 2021, accepted by ITSC2021 on Jun, 25, 2021 
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As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation


Jul 18, 2021
Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Benjamin I. P. Rubinstein, Trevor Cohn

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* Findings of ACL, to appear 
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Linking Health News to Research Literature


Jul 14, 2021
Jun Wang, Bei Yu

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* 13 pages, 3 figures 
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Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning


Jul 12, 2021
Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Yuqing Tang, Benjamin I. P. Rubinstein, Trevor Cohn

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* Findings of ACL, to appear 
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Feature Fusion Vision Transformer for Fine-Grained Visual Categorization


Jul 07, 2021
Jun Wang, Xiaohan Yu, Yongsheng Gao

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* 9 pages, 2 figures, 3 tables 
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Implicit Variational Conditional Sampling with Normalizing Flows


Jul 06, 2021
Vincent Moens, Aivar Sootla, Haitham Bou Ammar, Jun Wang

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Feature Fusion Vision Transformer Fine-Grained Visual Categorization


Jul 06, 2021
Jun Wang, Xiaohan Yu, Yongsheng Gao

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* 9 pages, 2 figures, 3 tables 
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EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation


Jul 03, 2021
Jun Wang, Xiaohan Yu, Yongsheng Gao

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* 10 pages, 3 figures 
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Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images


Jun 29, 2021
Zhiyang Lu, Zheng Li, Jun Wang, Jun shi, Dinggang Shen

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Winner Team Mia at TextVQA Challenge 2021: Vision-and-Language Representation Learning with Pre-trained Sequence-to-Sequence Model


Jun 24, 2021
Yixuan Qiao, Hao Chen, Jun Wang, Yihao Chen, Xianbin Ye, Ziliang Li, Xianbiao Qi, Peng Gao, Guotong Xie

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* Winner of TextVQA 2021 
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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning


Jun 16, 2021
Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar

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A Game-Theoretic Approach to Multi-Agent Trust Region Optimization


Jun 12, 2021
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

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* A Multi-Agent Trust Region Learning (MATRL) algorithm that augments the single-agent trust region policy optimization with a weak stable fixed point approximated by the policy-space meta-game 
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Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition


Jun 08, 2021
Max W. Y. Lam, Jun Wang, Chao Weng, Dan Su, Dong Yu

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* Accepted in Interspeech 2021 
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