Fengxiang He - RankMe

113 papers A* 31A 4Journal 76Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks. CoRR Aijie Shu, Wenbin Wu, Gbenga Ibikunle, Fengxiang He
2026	J	`jnl`	Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power. Trans. Mach. Learn. Res. Yuzhu Chen, Tian Qin, Xinmei Tian, Fengxiang He, Dacheng Tao
2026	J	`jnl`	Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs. CoRR Saimun Habib, Vaishak Belle, Fengxiang He
2026	J	`jnl`	Generalisation of RLHF under Reward Shift and Clipped KL Regularisation. CoRR Kenton Tang, Yuzhu Chen, Fengxiang He
2026	J	`jnl`	Integrating LTL Constraints into PPO for Safe Reinforcement Learning. CoRR Maifang Zhang, Hang Yu, Qian Zuo, Cheng Wang, Vaishak Belle, Fengxiang He
2026	J	`jnl`	Near-Constant Strong Violation and Last-Iterate Convergence for Online CMDPs via Decaying Safety Margins. CoRR Qian Zuo, Zhiyong Wang, Fengxiang He
2026	J	`jnl`	PRISM: Parallel Reward Integration with Symmetry for MORL. CoRR Finn van der Knaap, Kejiang Qian, Zheng Xu, Fengxiang He
2026	J	`jnl`	Rationality Measurement and Theory for Reinforcement Learning Agents. CoRR Kejiang Qian, Amos Storkey, Fengxiang He
2025	J	`jnl`	Attentive Learning Facilitates Generalization of Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Shiye Lei, Fengxiang He, Haowen Chen, Dacheng Tao
2025	J	`jnl`	Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. ACM Trans. Knowl. Discov. Data Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
2025	A*	`conf`	DICE: Data Influence Cascade in Decentralized Learning. ICLR Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He
2025	J	`jnl`	DICE: Data Influence Cascade in Decentralized Learning. CoRR Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He
2025	J	`jnl`	DeXposure: A Dataset and Benchmarks for Inter-protocol Credit Exposure in Decentralized Financial Networks. CoRR Wenbin Wu, Kejiang Qian, Alexis Lui, Christopher Jack, Yue Wu, Peter McBurney, Fengxiang He, Bryan Zhang
2025	J	`jnl`	Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power. CoRR Yuzhu Chen, Tian Qin, Xinmei Tian, Fengxiang He, Dacheng Tao
2025	J	`jnl`	Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds. CoRR Qian Zuo, Fengxiang He
2025	J	`jnl`	Graph traverse reference network for sign language corpus retrieval in the wild. Neurocomputing Kun Hu, Fengxiang He, Adam Schembri, Zhiyong Wang
2025	A*	`conf`	Human-Imperceptible, Machine-Recognizable Images. IJCAI Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Dacheng Tao, Jun Cheng
2025	J	`jnl`	Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations. Trans. Mach. Learn. Res. Xuelian Jiang, Tongtian Zhu, Yingxiang Xu, Can Wang, Yeyu Zhang, Fengxiang He
2025	A*	`conf`	Task-Aware Clustering for Prompting Vision-Language Models. CVPR Fusheng Hao, Fengxiang He, Fuxiang Wu, Tichao Wang, Chengqun Song, Jun Cheng
2025	J	`jnl`	The Current State of AI Bias Bounties: An Overview of Existing Programmes and Research. CoRR Sergej Kucenko, Nathaniel Dennler, Fengxiang He
2025	J	`jnl`	Understanding Deep Learning via Decision Boundary. IEEE Trans. Neural Networks Learn. Syst. Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	When a Reinforcement Learning Agent Encounters Unknown Unknowns. CoRR Juntian Zhu, Miguel de Carvalho, Zhouwang Yang, Fengxiang He
2025	—	`conf`	XAI for In-Hospital Mortality Prediction via Multimodal ICU Data. BIBM Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Fengxiang He, Bo Du
2024	—	`conf`	AI Driven Online Advertising: Market Design, Generative AI, and Ethics. WWW (Companion Volume) Fengxiang He, Mengnan Du, Aris Filos-Ratsikas, Lu Cheng, Qingquan Song, Min Lin, John Vines
2024	A	`conf`	Adaptive Time-Stepping Schedules for Diffusion Models. UAI Yuzhu Chen, Fengxiang He, Shi Fu, Xinmei Tian, Dacheng Tao
2024	J	`jnl`	Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games. IEEE Trans. Pattern Anal. Mach. Intell. Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao
2024	J	`jnl`	Communication-Efficient Regret-Optimal Distributed Online Convex Optimization. IEEE Trans. Parallel Distributed Syst. Jiandong Liu, Lan Zhang, Fengxiang He, Chi Zhang, Shanyang Jiang, Xiang-Yang Li
2024	A*	`conf`	Convergence of Bayesian Bilevel Optimization. ICLR Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
2024	J	`jnl`	InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. IEEE Trans. Mob. Comput. Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Zhengyuan Xu, Xiang-Yang Li
2024	J	`jnl`	Inverse learning of black-box aggregator for robust Nash equilibrium. CoRR Guanpu Chen, Gehui Xu, Fengxiang He, Dacheng Tao, Thomas Parisini, Karl Henrik Johansson
2024	J	`jnl`	Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2023	J	`jnl`	Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. CoRR Zhihao Hu, Yiran Xu, Mengnan Du, Jindong Gu, Xinmei Tian, Fengxiang He
2023	J	`jnl`	Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Yikai Wang, Fuchun Sun, Wenbing Huang, Fengxiang He, Dacheng Tao
2023	A*	`conf`	Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. ICCV Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng
2023	A*	`conf`	Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. ICML Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
2023	J	`jnl`	Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. CoRR Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao
2023	A	`conf`	E(2)-Equivariant Vision Transformer. UAI Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
2023	J	`jnl`	E(2)-Equivariant Vision Transformer. CoRR Renjun Xu, Kaifan Yang, Ke Liu, Fengxiang He
2023	J	`jnl`	Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. CoRR Guanpu Chen, Gehui Xu, Fengxiang He, Yiguang Hong, Leszek Rutkowski, Dacheng Tao
2023	J	`jnl`	Heterogeneous Multi-Task Gaussian Cox Processes. CoRR Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Heterogeneous multi-task Gaussian Cox processes. Mach. Learn. Feng Zhou, Quyu Kong, Zhijie Deng, Fengxiang He, Peng Cui, Jun Zhu
2023	J	`jnl`	Human-imperceptible, Machine-recognizable Images. CoRR Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao
2023	A*	`conf`	Improving Heterogeneous Model Reuse by Density Estimation. IJCAI Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023	J	`jnl`	Improving Heterogeneous Model Reuse by Density Estimation. CoRR Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023	J	`jnl`	Language-Based Image Manipulation Built on Language-Guided Ranking. IEEE Trans. Multim. Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
2023	A	`conf`	Learning to Generalize Provably in Learning to Optimize. AISTATS Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	J	`jnl`	Learning to Generalize Provably in Learning to Optimize. CoRR Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang
2023	J	`jnl`	Mixer-Based Semantic Spread for Few-Shot Learning. IEEE Trans. Multim. Jun Cheng, Fusheng Hao, Fengxiang He, Liu Liu, Qieshi Zhang
2023	J	`jnl`	OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao
2023	A*	`conf`	Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. AAAI Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Lei Wang, Jun Cheng
2023	J	`jnl`	Self-Ensembling GAN for Cross-Domain Semantic Segmentation. IEEE Trans. Multim. Yonghao Xu, Fengxiang He, Bo Du, Dacheng Tao, Liangpei Zhang
2023	J	`jnl`	Semantic-Aware Feature Aggregation for Few-Shot Image Classification. Neural Process. Lett. Fusheng Hao, Fuxiang Wu, Fengxiang He, Qieshi Zhang, Chengqun Song, Jun Cheng
2023	J	`jnl`	Spectral complexity-scaled generalisation bound of complex-valued neural networks. Artif. Intell. Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao
2023	A*	`conf`	Tilted Sparse Additive Models. ICML Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao
2023	J	`jnl`	XAI for In-hospital Mortality Prediction via Multimodal ICU Data. CoRR Xingqiao Li, Jindong Gu, Zhiyong Wang, Yancheng Yuan, Bo Du, Fengxiang He
2022	J	`jnl`	Achieving Personalized Federated Learning with Sparse Local Models. CoRR Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao
2022	A*	`conf`	Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. NeurIPS Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022	J	`jnl`	Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. CoRR Kaiwen Yang, Yanchao Sun, Jiahao Su, Fengxiang He, Xinmei Tian, Furong Huang, Tianyi Zhou, Dacheng Tao
2022	A*	`conf`	Benefits of Permutation-Equivariance in Auction Mechanisms. NeurIPS Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
2022	J	`jnl`	Benefits of Permutation-Equivariance in Auction Mechanisms. CoRR Tian Qin, Fengxiang He, Dingfeng Shi, Wenbing Huang, Dacheng Tao
2022	A*	`conf`	Bridged Transformer for Vision and Point Cloud 3D Object Detection. CVPR Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
2022	J	`jnl`	Bridged Transformer for Vision and Point Cloud 3D Object Detection. CoRR Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
2022	A*	`conf`	DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. ICML Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
2022	J	`jnl`	DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. CoRR Rong Dai, Li Shen, Fengxiang He, Xinmei Tian, Dacheng Tao
2022	J	`jnl`	Exploring High-Order Structure for Robust Graph Structure Learning. CoRR Guangqian Yang, Yibing Zhan, Jinlong Li, Baosheng Yu, Liu Liu, Fengxiang He
2022	J	`jnl`	Global-Local Interplay in Semantic Alignment for Few-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Fusheng Hao, Fengxiang He, Jun Cheng, Dacheng Tao
2022	A*	`conf`	Huber Additive Models for Non-stationary Time Series Analysis. ICLR Yingjie Wang, Xianrui Zhong, Fengxiang He, Hong Chen, Dacheng Tao
2022	J	`jnl`	InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. CoRR Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Miao-Hui Song, Xiangyang Li
2022	A*	`conf`	InFi: end-to-end learnable input filter for resource-efficient mobile-centric inference. MobiCom Mu Yuan, Lan Zhang, Fengxiang He, Xueting Tong, Xiangyang Li
2022	A*	`conf`	Knowledge Removal in Sampling-based Bayesian Inference. ICLR Shaopeng Fu, Fengxiang He, Dacheng Tao
2022	J	`jnl`	Knowledge Removal in Sampling-based Bayesian Inference. CoRR Shaopeng Fu, Fengxiang He, Dacheng Tao
2022	J	`jnl`	Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2022	A*	`conf`	Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2022	A*	`conf`	Self-paced Supervision for Multi-source Domain Adaptation. IJCAI Zengmao Wang, Chaoyang Zhou, Bo Du, Fengxiang He
2022	J	`jnl`	Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2022	A*	`conf`	Siamese Network with Interactive Transformer for Video Object Segmentation. AAAI Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang
2022	J	`jnl`	Super-model ecosystem: A domain-adaptation perspective. CoRR Fengxiang He, Dacheng Tao
2022	A*	`conf`	Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. CVPR Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng
2022	A*	`conf`	Topology-aware Generalization of Decentralized SGD. ICML Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao
2022	J	`jnl`	Topology-aware Generalization of Decentralized SGD. CoRR Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao
2022	J	`jnl`	Understanding deep learning via decision boundary. CoRR Shiye Lei, Fengxiang He, Yancheng Yuan, Dacheng Tao
2022	A*	`conf`	VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. AAAI Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
2022	J	`jnl`	VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. CoRR Minghui Chen, Cheng Wen, Feng Zheng, Fengxiang He, Ling Shao
2022	A*	`conf`	Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. AAAI Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
2022	A*	`conf`	When to Update Your Model: Constrained Model-based Reinforcement Learning. NeurIPS Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
2022	J	`jnl`	When to Update Your Model: Constrained Model-based Reinforcement Learning. CoRR Tianying Ji, Yu Luo, Fuchun Sun, Mingxuan Jing, Fengxiang He, Wenbing Huang
2021	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2021	J	`jnl`	Bayesian Inference Forgetting. CoRR Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao
2021	J	`jnl`	Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. CoRR Yikai Wang, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao
2021	A*	`conf`	Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. ACM Multimedia Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
2021	J	`jnl`	Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. CoRR Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
2021	J	`jnl`	Neural networks behave as hash encoders: An empirical study. CoRR Fengxiang He, Shiye Lei, Jianmin Ji, Dacheng Tao
2021	J	`jnl`	Self-Ensembling GAN for Cross-Domain Semantic Segmentation. CoRR Yonghao Xu, Fengxiang He, Bo Du, Liangpei Zhang, Dacheng Tao
2021	J	`jnl`	Siamese Network with Interactive Transformer for Video Object Segmentation. CoRR Meng Lan, Jing Zhang, Fengxiang He, Lefei Zhang
2021	J	`jnl`	Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. CoRR Shiye Lei, Zhuozhuo Tu, Leszek Rutkowski, Feng Zhou, Li Shen, Fengxiang He, Dacheng Tao
2021	J	`jnl`	Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks. CoRR Haowen Chen, Fengxiang He, Shiye Lei, Dacheng Tao
2021	A	`conf`	Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. UAI Fengxiang He, Bohan Wang, Dacheng Tao
2021	J	`jnl`	Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. CoRR Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
2020	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2020	A*	`conf`	Piecewise linear activations substantially shape the loss surfaces of neural networks. ICLR Fengxiang He, Bohan Wang, Dacheng Tao
2020	J	`jnl`	Piecewise linear activations substantially shape the loss surfaces of neural networks. CoRR Fengxiang He, Bohan Wang, Dacheng Tao
2020	J	`jnl`	Recent advances in deep learning theory. CoRR Fengxiang He, Dacheng Tao
2020	J	`jnl`	Robustness, Privacy, and Generalization of Adversarial Training. CoRR Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao
2020	J	`jnl`	Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. CoRR Fengxiang He, Bohan Wang, Dacheng Tao
2020	A*	`conf`	Understanding Generalization in Recurrent Neural Networks. ICLR Zhuozhuo Tu, Fengxiang He, Dacheng Tao
2020	J	`jnl`	Why ResNet Works? Residuals Generalize. IEEE Trans. Neural Networks Learn. Syst. Fengxiang He, Tongliang Liu, Dacheng Tao
2019	A*	`conf`	Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. ICCV Fusheng Hao, Fengxiang He, Jun Cheng, Lei Wang, Jianzhong Cao, Dacheng Tao
2019	A*	`conf`	Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence. NeurIPS Fengxiang He, Tongliang Liu, Dacheng Tao
2019	A*	`conf`	Fast Spatio-Temporal Residual Network for Video Super-Resolution. CVPR Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019	J	`jnl`	Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
2019	A*	`conf`	Progressive Reconstruction of Visual Structure for Image Inpainting. ICCV Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao
2019	J	`jnl`	Why ResNet Works? Residuals Generalize. CoRR Fengxiang He, Tongliang Liu, Dacheng Tao
2018	J	`jnl`	Instance-Dependent PU Learning by Bayesian Optimal Relabeling. CoRR Fengxiang He, Tongliang Liu, Geoffrey I. Webb, Dacheng Tao