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2020 – today
- 2023
[j37]Jingjing Xiong
, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou:
CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation. Expert Syst. Appl. 211: 118537 (2023)- [j36]Yunbin Tu, Chang Zhou, Junjun Guo, Huafeng Li, Shengxiang Gao, Zhengtao Yu:
Relation-aware attention for video captioning via graph learning. Pattern Recognit. 136: 109204 (2023) - [j35]Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j34]Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6264-6277 (2023) - [c58]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou:
Prompt Tuning for Unified Multimodal Pretrained Models. ACL (Findings) 2023: 402-416 - [c57]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. ACL (Findings) 2023: 588-597 - [c56]Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation. CVPR 2023: 8887-8896 - [c55]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. IJCAI 2023: 1786-1794 - [c54]Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan:
Binary Embedding-based Retrieval at Tencent. KDD 2023: 4056-4067 - [c53]Rui Gu, Huiying Zhao, Chang Zhou:
Interventions to Reduce Misinformation Dissemination on Social Media: A Systematic Literature Review. PACIS 2023: 149 - [c52]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i51]Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan:
Binary Embedding-based Retrieval at Tencent. CoRR abs/2302.08714 (2023) - [i50]Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation. CoRR abs/2303.14747 (2023) - [i49]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (2023) - [i48]Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou:
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities. CoRR abs/2305.11172 (2023) - [i47]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i46]Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang:
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. CoRR abs/2307.12291 (2023) - [i45]Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. CoRR abs/2307.16377 (2023) - [i44]Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou:
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. CoRR abs/2308.01825 (2023) - [i43]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i42]Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities. CoRR abs/2308.12966 (2023) - [i41]Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou:
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR abs/2308.16890 (2023) - 2022
- [j33]Chang Zhou, Yunhui Yin, Ziwen Liu, Kaifeng Zhang:
Extended Disturbance-Observer-Based Virtual Synchronization Control Strategy for Distributed Generation Clusters. IEEE Access 10: 101988-101998 (2022) - [j32]Pengfei Xian, Lai-Man Po, Jingjing Xiong, Chang Zhou, Yuzhi Zhao, Wing Yin Yu, Weifeng Ou, Yujia Zhang, Xiaori Zhang:
Pixel Voting Decoder: A novel decoder that regresses pixel relationships for segmentation. Expert Syst. Appl. 193: 116438 (2022) - [j31]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang:
Geohash-Based Rapid Query Method of Regional Transactions in Blockchain for Internet of Vehicles. Sensors 22(22): 8885 (2022) - [j30]Weifeng Ou, Lai-Man Po, Chang Zhou, Pengfei Xian, Jingjing Xiong:
GAN-Based Inter-Class Sample Generation for Contrastive Learning of Vein Image Representations. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 249-262 (2022) - [j29]Chang Zhou, Lai Man Po, Weifeng Ou:
Angular Deep Supervised Vector Quantization for Image Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1638-1649 (2022) - [c51]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-On Via Deformable Attention Flows. ECCV (15) 2022: 409-425 - [c50]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML 2022: 9226-9259 - [c49]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML 2022: 23318-23340 - [c48]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. ACM Multimedia 2022: 1819-1827 - [c47]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. NeurIPS 2022 - [c46]Xiang Wang, Yue Ding, Chang Zhou, Kai Xu:
FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot. ROBIO 2022: 2009-2014 - [c45]Chang Zhou, Longfei Wang, Yulin Zhang, Xinjun Sheng, Kai Xu:
FC-DenseNet-Based Photometric Stereo for Endoscopes with Close-range Non-parallel Light Illumination. ROBIO 2022: 2159-2164 - [i40]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR abs/2202.03052 (2022) - [i39]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR abs/2203.12221 (2022) - [i38]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. CoRR abs/2203.15312 (2022) - [i37]Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. CoRR abs/2205.08084 (2022) - [i36]Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang:
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. CoRR abs/2205.11705 (2022) - [i35]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i34]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-on via Deformable Attention Flows. CoRR abs/2207.09161 (2022) - [i33]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang:
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR abs/2208.02532 (2022) - [i32]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. CoRR abs/2210.12787 (2022) - [i31]An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. CoRR abs/2211.01335 (2022) - [i30]Jianhong Tu, Zeyu Cui, Xiaohuan Zhou, Siqi Zheng, Kai Hu, Ju Fan, Chang Zhou:
Contextual Expressive Text-to-Speech. CoRR abs/2211.14548 (2022) - [i29]Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. CoRR abs/2212.00500 (2022) - [i28]Jianxin Ma, Shuai Bai, Chang Zhou:
Pretrained Diffusion Models for Unified Human Motion Synthesis. CoRR abs/2212.02837 (2022) - [i27]Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR abs/2212.04408 (2022) - [i26]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. CoRR abs/2212.09297 (2022) - 2021
- [j28]Weifeng Ou, Lai-Man Po, Chang Zhou, Yasar Abbas Ur Rehman, Pengfei Xian, Yujia Zhang:
Fusion loss and inter-class data augmentation for deep finger vein feature learning. Expert Syst. Appl. 171: 114584 (2021) - [j27]Chang Zhou, Lai-Man Po, Weifeng Ou, Pengfei Xian, Kwok-Wai Cheung:
Deep triplet residual quantization. Expert Syst. Appl. 184: 115467 (2021) - [j26]Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen:
ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning. Knowl. Based Syst. 223: 106602 (2021) - [j25]Yunbin Tu, Chang Zhou, Junjun Guo, Shengxiang Gao, Zhengtao Yu:
Enhancing the alignment between target words and corresponding frames for video captioning. Pattern Recognit. 111: 107702 (2021) - [j24]Wantian Wang, Yong Zhu, Ziyue Tang, Yi-Chang Chen, Zhenbo Zhu, Yongjian Sun, Chang Zhou:
Efficient Rotational Angular Velocity Estimation of Rotor Target via Modified Short-Time Fractional Fourier Transform. Remote. Sens. 13(10): 1970 (2021) - [c44]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 4831-4843 - [c43]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CVPR Workshops 2021: 4034-4043 - [c42]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. ICCV 2021: 3071-3080 - [c41]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. ICML 2021: 12663-12673 - [c40]Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD 2021: 1150-1160 - [c39]Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD 2021: 3251-3261 - [c38]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. KDD 2021: 3985-3995 - [c37]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS 2021: 19822-19835 - [c36]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. NeurIPS 2021: 27196-27208 - [c35]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. WWW 2021: 768-777 - [i25]Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021) - [i24]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i23]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. CoRR abs/2105.13290 (2021) - [i22]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR abs/2105.14211 (2021) - [i21]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. CoRR abs/2105.14778 (2021) - [i20]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CoRR abs/2105.14897 (2021) - [i19]An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang:
Exploring Sparse Expert Models and Beyond. CoRR abs/2105.15082 (2021) - [i18]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. CoRR abs/2106.00062 (2021) - [i17]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. CoRR abs/2106.01096 (2021) - [i16]Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou:
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation. CoRR abs/2106.04400 (2021) - [i15]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. CoRR abs/2108.08782 (2021) - [i14]Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang:
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR abs/2110.03888 (2021) - [i13]Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR abs/2112.14936 (2021) - 2020
- [j23]Junshuai Song, Zhao Li, Chang Zhou, Jinze Bai, Zhenpeng Li, Jian Li, Jun Gao:
Co-Displayed Items Aware List Recommendation. IEEE Access 8: 64591-64602 (2020) - [j22]Mengyang Liu, Lai-Man Po, Xuyuan Xu, Kwok-Wai Cheung, Yuzhi Zhao, Kin Wai Lau, Chang Zhou:
Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment. IEEE Access 8: 72007-72020 (2020) - [j21]Weifeng Ou, Lai-Man Po, Chang Zhou, Yujia Zhang, Litong Feng, Yasar Abbas Ur Rehman, Yuzhi Zhao:
LinCos-Softmax: Learning Angle-Discriminative Face Representations With Linearity-Enhanced Cosine Logits. IEEE Access 8: 109758-109769 (2020) - [j20]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang:
GeohashTile: Vector Geographic Data Display Method Based on Geohash. ISPRS Int. J. Geo Inf. 9(7): 418 (2020) - [j19]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu:
区块链在车载自组网中的应用研究及展望 (Survey on Application of Blockchain in VANET). 计算机科学 47(2): 213-220 (2020) - [j18]Chang Zhou, Chunye Ying, Xinli Hu, Chu Xu, Qiang Wang:
Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation. Sensors 20(4): 1170 (2020) - [c34]Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang:
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. ICLR 2020 - [c33]Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu:
Disentangled Self-Supervision in Sequential Recommenders. KDD 2020: 483-491 - [c32]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676 - [c31]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. KDD 2020: 2942-2951 - [c30]Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang:
CogLTX: Applying BERT to Long Texts. NeurIPS 2020 - [i12]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020) - [i11]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020) - [i10]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation at Scale. CoRR abs/2005.12964 (2020)
2010 – 2019
- 2019
- [j17]Chang Zhou, Lai-Man Po, Wilson Y. F. Yuen, Kwok-Wai Cheung, Xuyuan Xu, Kin Wai Lau, Yuzhi Zhao, Mengyang Liu, Peter H. W. Wong:
Angular Deep Supervised Hashing for Image Retrieval. IEEE Access 7: 127521-127532 (2019) - [j16]Daolin Wang, Zhihua Lin, Chang Zhou, Changyong Gao, Qiang He:
Liquid Metal Gallium Micromachines Speed Up in Confining Channels. Adv. Intell. Syst. 1(7): 1900064 (2019) - [j15]Daolin Wang, Zhihua Lin, Chang Zhou, Changyong Gao, Qiang He:
Liquid Metal Gallium Micromachines Speed Up in Confining Channels. Adv. Intell. Syst. 1(7): 1970070 (2019) - [j14]Jianke Zhang, Zhirou Wei, Lifeng Li, Chang Zhou:
Least-Squares Residual Power Series Method for the Time-Fractional Differential Equations. Complex. 2019: 6159024:1-6159024:15 (2019) - [j13]Lifeng Li, Jianke Zhang, Chang Zhou:
Sufficient conditions for a T-partial order obtained from triangular norms to be a lattice. Kybernetika 55(2): 295-306 (2019) - [j12]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. Proc. VLDB Endow. 12(12): 2094-2105 (2019) - [j11]Lai-Man Po, Mengyang Liu, Wilson Y. F. Yuen, Yuming Li, Xuyuan Xu, Chang Zhou, Peter H. W. Wong, Kin Wai Lau, Hon-Tung Luk:
A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1223-1229 (2019) - [c29]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI 2019: 5941-5948 - [c28]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703 - [c27]Chang Zhou, Dunwei Gong, Yi-Nan Guo, Wenyin Gong:
A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application. CEC 2019: 1702-1709 - [c26]Daikun Zheng, Hong Xu, Chang Zhou:
Maneuvering Target Joint Detection and Tracking Using Multi-Frame Integration. ICCAIS 2019: 1-6 - [c25]Hong Yu, Yueqi Pan, Chang Zhou:
Domain Adaptation Approach for Sentiment Analysis. ICCDA 2019: 94-97 - [c24]Yuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong:
Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping. ICCV Workshops 2019: 3449-3457 - [c23]Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590 - [c22]Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao:
ECOQUG: An Effective Ensemble Community Scoring Function. ICDE 2019: 1702-1705 - [c21]Wantian Wang, Ziyue Tang, Xin Xiong, Yi-Chang Chen, Yuanpeng Zhang, Yongjian Sun, Zhenbo Zhu, Chang Zhou:
Motion States Classification of Rotor Target Based On Micro-Doppler Features Using CNN. IGARSS 2019: 1390-1393 - [c20]Chang Zhou, Lai Man Po, Mengyang Liu, Wilson Y. F. Yuen, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau, Hok Kwan Cheung:
Deep Hashing with Triplet Labels and Unification Binary Code Selection for Fast Image Retrieval.