Chang Zhou

According to our database, Chang Zhou authored at least 143 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint task semi-supervised semantic segmentation for TRUS image.

Chao Gao, Yongtao Shi, Chang Zhou, Bangjun Lei, Daisy Thembelihle Mukondiwa

Biomed. Signal Process. Control., February, 2024

Improved LEACH Protocol Based on Underwater Energy Propagation Model, Parallel Transmission, and Replication Computing for Underwater Acoustic Sensor Networks.

Kun Tian, Chang Zhou, Jun Zhang

Sensors, January, 2024

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

CoRR, 2024

Training-Free Long-Context Scaling of Large Language Models.

Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong

CoRR, 2024

Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs.

Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen

CoRR, 2024

AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension.

Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou

CoRR, 2024

Sketch and Refine: Towards Fast and Accurate Lane Detection.

Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu

CoRR, 2024

Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment.

Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

CoRR, 2024

Controllable 3D Face Generation with Conditional Style Code Diffusion.

Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Sketch and Refine: Towards Fast and Accurate Lane Detection.

Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Vision-Based Markerless Tracking for Continuum Surgical Instruments in Robot-Assisted Minimally Invasive Surgery.

Longfei Wang, Chang Zhou, Yuzhen Cao, Ren Zhao, Kai Xu

IEEE Robotics Autom. Lett., November, 2023

A New Framework for the Reconstruction of Daily 1 km Land Surface Temperatures from 2000 to 2022.

Yuanjun Xiao, Shengcheng Li, Jingfeng Huang, Ran Huang, Chang Zhou

Remote. Sens., October, 2023

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation.

Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang

IEEE Trans. Knowl. Data Eng., June, 2023

Relation-aware attention for video captioning via graph learning.

Yunbin Tu, Chang Zhou, Junjun Guo, Huafeng Li, Shengxiang Gao, Zhengtao Yu

Pattern Recognit., April, 2023

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning.

Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang

IEEE Trans. Knowl. Data Eng., 2023

CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation.

Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou

Expert Syst. Appl., 2023

MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs.

Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang

CoRR, 2023

Speculative Contrastive Decoding.

Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou

CoRR, 2023

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models.

Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning.

Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou

CoRR, 2023

Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, Jingren Zhou

CoRR, 2023

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.

Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

CoRR, 2023

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT.

Jiaming Wang, Zhihao Du, Qian Chen, Yunfei Chu, Zhifu Gao, Zerui Li, Kai Hu, Xiaohuan Zhou, Jin Xu, Ziyang Ma, Wen Wang, Siqi Zheng, Chang Zhou, Zhijie Yan, Shiliang Zhang

CoRR, 2023

Qwen Technical Report.

Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu

CoRR, 2023

TouchStone: Evaluating Vision-Language Models by Language Models.

Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou

CoRR, 2023

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities.

Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou

CoRR, 2023

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou

CoRR, 2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou

CoRR, 2023

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao

CoRR, 2023

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities.

Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

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

Proceedings of the ACM Web Conference 2023, 2023

Automatic Parking for a Surgical Robotic Patient-Side Cart Using Monocular Vision.

Yulin Zhang, Baibo Wu, Chang Zhou, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

Interventions to Reduce Misinformation Dissemination on Social Media: A Systematic Literature Review.

Rui Gu, Huiying Zhao, Chang Zhou

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Binary Embedding-based Retrieval at Tencent.

Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Video Frame Interpolation with Densely Queried Bilateral Correlation.

Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering.

Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery.

Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation.

Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Prompt Tuning for Unified Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transferring General Multimodal Pretrained Models to Text Recognition.

Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Angular Deep Supervised Vector Quantization for Image Retrieval.

Chang Zhou, Lai Man Po, Weifeng Ou

IEEE Trans. Neural Networks Learn. Syst., 2022

GAN-Based Inter-Class Sample Generation for Contrastive Learning of Vein Image Representations.

Weifeng Ou, Lai-Man Po, Chang Zhou, Pengfei Xian, Jingjing Xiong

IEEE Trans. Biom. Behav. Identity Sci., 2022

Geohash-Based Rapid Query Method of Regional Transactions in Blockchain for Internet of Vehicles.

Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang

Sensors, 2022

Pixel Voting Decoder: A novel decoder that regresses pixel relationships for segmentation.

Pengfei Xian, Lai-Man Po, Jingjing Xiong, Chang Zhou, Yuzhi Zhao, Wing Yin Yu, Weifeng Ou, Yujia Zhang, Xiaori Zhang

Expert Syst. Appl., 2022

OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models.

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

CoRR, 2022

Pretrained Diffusion Models for Unified Human Motion Synthesis.

Jianxin Ma, Shuai Bai, Chang Zhou

CoRR, 2022

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition.

Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou

CoRR, 2022

Contextual Expressive Text-to-Speech.

Jianhong Tu, Zeyu Cui, Xiaohuan Zhou, Siqi Zheng, Kai Hu, Ju Fan, Chang Zhou

CoRR, 2022

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese.

An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou

CoRR, 2022

Prompt Tuning for Generative Multimodal Pretrained Models.

Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang

CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui

CoRR, 2022

M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing.

Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang

CoRR, 2022

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.

Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

CoRR, 2022

Extended Disturbance-Observer-Based Virtual Synchronization Control Strategy for Distributed Generation Clusters.

Chang Zhou, Yunhui Yin, Ziwen Liu, Kaifeng Zhang

IEEE Access, 2022

FC-DenseNet-Based Photometric Stereo for Endoscopes with Close-range Non-parallel Light Illumination.

Chang Zhou, Longfei Wang, Yulin Zhang, Xinjun Sheng, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot.

Xiang Wang, Yue Ding, Chang Zhou, Kai Xu

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

Respecting Transfer Gap in Knowledge Distillation.

Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

In-N-Out Generative Learning for Dense Unsupervised Video Segmentation.

Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework.

Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang

Proceedings of the International Conference on Machine Learning, 2022

Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably).

Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2022

Single Stage Virtual Try-On Via Deformable Attention Flows.

Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Efficient Rotational Angular Velocity Estimation of Rotor Target via Modified Short-Time Fractional Fourier Transform.

Wantian Wang, Yong Zhu, Ziyue Tang, Yi-Chang Chen, Zhenbo Zhu, Yongjian Sun, Chang Zhou

Remote. Sens., 2021

Enhancing the alignment between target words and corresponding frames for video captioning.

Yunbin Tu, Chang Zhou, Junjun Guo, Shengxiang Gao, Zhengtao Yu

Pattern Recognit., 2021

ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning.

Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen

Knowl. Based Syst., 2021

Deep triplet residual quantization.

Chang Zhou, Lai-Man Po, Weifeng Ou, Pengfei Xian, Kwok-Wai Cheung

Expert Syst. Appl., 2021

Fusion loss and inter-class data augmentation for deep finger vein feature learning.

Weifeng Ou, Lai-Man Po, Chang Zhou, Yasar Abbas Ur Rehman, Pengfei Xian, Yujia Zhang

Expert Syst. Appl., 2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

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

CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

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

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

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

CoRR, 2021

Controllable Gradient Item Retrieval.

Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He

Proceedings of the WWW '21: The Web Conference 2021, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.

Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CogView: Mastering Text-to-Image Generation via Transformers.

Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems.

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.

Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning to Rehearse in Long Sequence Memorization.

Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao

Proceedings of the 38th International Conference on Machine Learning, 2021

Causal Attention for Unbiased Visual Recognition.

Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Connecting Language and Vision for Natural Language-Based Vehicle Retrieval.

Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation.

Chang Zhou, Chunye Ying, Xinli Hu, Chu Xu, Qiang Wang

Sensors, 2020

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).

Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu

计算机科学, 2020

GeohashTile: Vector Geographic Data Display Method Based on Geohash.

Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang

ISPRS Int. J. Geo Inf., 2020

Contrastive Learning for Debiased Candidate Generation at Scale.

Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang

CoRR, 2020

Co-Displayed Items Aware List Recommendation.

Junshuai Song, Zhao Li, Chang Zhou, Jinze Bai, Zhenpeng Li, Jian Li, Jun Gao

IEEE Access, 2020

LinCos-Softmax: Learning Angle-Discriminative Face Representations With Linearity-Enhanced Cosine Logits.

Weifeng Ou, Lai-Man Po, Chang Zhou, Yujia Zhang, Litong Feng, Yasar Abbas Ur Rehman, Yuzhi Zhao

IEEE Access, 2020

Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment.

Mengyang Liu, Lai-Man Po, Xuyuan Xu, Kwok-Wai Cheung, Yuzhi Zhao, Kin Wai Lau, Chang Zhou

IEEE Access, 2020

CogLTX: Applying BERT to Long Texts.

Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Negative Sampling in Graph Representation Learning.

Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Disentangled Self-Supervision in Sequential Recommenders.

Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Controllable Multi-Interest Framework for Recommendation.

Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities.

Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment.

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

IEEE Trans. Circuits Syst. Video Technol., 2019

AliGraph: A Comprehensive Graph Neural Network Platform.

Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou

Proc. VLDB Endow., 2019

Sufficient conditions for a T-partial order obtained from triangular norms to be a lattice.

Lifeng Li, Jianke Zhang, Chang Zhou

Kybernetika, 2019

ExperienceThinking: Hyperparameter Optimization with Budget Constraints.

Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao

CoRR, 2019

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.

Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang

CoRR, 2019

Least-Squares Residual Power Series Method for the Time-Fractional Differential Equations.

Jianke Zhang, Zhirou Wei, Lifeng Li, Chang Zhou

Complex., 2019

Liquid Metal Gallium Micromachines Speed Up in Confining Channels.

Daolin Wang, Zhihua Lin, Chang Zhou, Changyong Gao, Qiang He

Adv. Intell. Syst., 2019

Angular Deep Supervised Hashing for Image Retrieval.

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

IEEE Access, 2019

Personalized Bundle List Recommendation.

Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao

Proceedings of the World Wide Web Conference, 2019

Learning Disentangled Representations for Recommendation.

Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Hashing with Triplet Labels and Unification Binary Code Selection for Fast Image Retrieval.

Chang Zhou, Lai Man Po, Mengyang Liu, Wilson Y. F. Yuen, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau, Hok Kwan Cheung

Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Motion States Classification of Rotor Target Based On Micro-Doppler Features Using CNN.

Wantian Wang, Ziyue Tang, Xin Xiong, Yi-Chang Chen, Yuan-Peng Zhang, Yongjian Sun, Zhenbo Zhu, Chang Zhou

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

ECOQUG: An Effective Ensemble Community Scoring Function.

Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping.

Yuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Domain Adaptation Approach for Sentiment Analysis.

Hong Yu, Yueqi Pan, Chang Zhou

Proceedings of the 3rd International Conference on Compute and Data Analysis, 2019

Maneuvering Target Joint Detection and Tracking Using Multi-Frame Integration.

Daikun Zheng, Hong Xu, Chang Zhou

Proceedings of the 2019 International Conference on Control, 2019

A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application.

Chang Zhou, Dunwei Gong, Yi-Nan Guo, Wenyin Gong

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Cognitive Graph for Multi-Hop Reading Comprehension at Scale.

Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Deep Interest Evolution Network for Click-Through Rate Prediction.

Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph.

Junshuai Song, Xiongcai Luo, Jun Gao, Chang Zhou, Hu Wei, Jeffrey Xu Yu

IEEE Trans. Knowl. Data Eng., 2018

Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning.

Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Content-based Video Copy Detection using Binary Object Fingerprints.

Mengyang Liu, Lai-Man Po, Chang Zhou, Wilson Y. F. Yuen, Hok Kwan Cheung, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau

Proceedings of the 2018 IEEE International Conference on Signal Processing, 2018

Foreground Gated Network for Surveillance Object Detection.

Zhihang Fu, Chang Zhou, Hongwei Yong, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation.

Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A Cooperative Peer-to-Peer Repair Scheme Based on Hybrid Network Coding.

Yongjun Sun, Pengjun Zhao, Chang Zhou, Zujun Liu

Wirel. Pers. Commun., 2017

Path-based holistic detection plan for multiple patterns in distributed graph frameworks.

Jun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu

VLDB J., 2017

Efficient Hybrid Detection of Node Replication Attacks in Mobile Sensor Networks.

Ze Wang, Chang Zhou, Yiran Liu

Mob. Inf. Syst., 2017

How to Identify the Most Powerful Node in Complex Networks? A Novel Entropy Centrality Approach.

Tong Qiao, Wei Shan, Chang Zhou

Entropy, 2017

cniCloud: Querying the Cellular Network Information at Scale.

Wenguang Huang, Chang Zhou, Yuanjie Li

CoRR, 2017

Attention evaluation with eye tracking glasses for EEG-based emotion recognition.

Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

cniCloud: Querying the Cellular Network Information at Scale.

Wenguang Huang, Chang Zhou, Yuanjie Li, Xinbing Wang, Songwu Lu, Luoyi Fu

Proceedings of the 11th Workshop on Wireless Network Testbeds, 2017

Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval.

Chen Shen, Chang Zhou, Zhongming Jin, Wenqing Chu, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Spatiotemporal Multi-Task Network for Human Activity Understanding.

Yao Liu, Jianqiang Huang, Chang Zhou, Deng Cai, Xian-Sheng Hua

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph.

Xiongcai Luo, Jun Gao, Chang Zhou, Jeffrey Xu Yu

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Topic-Specific Image Caption Generation.

Chang Zhou, Yuzhao Mao, Xiaojie Wang

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Scalable Graph Embedding for Asymmetric Proximity.

Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Toward continuous pattern detection over evolving large graph with snapshot isolation.

Jun Gao, Chang Zhou, Jeffrey Xu Yu

VLDB J., 2016

Vein point cloud registration algorithm for multi-pose hand vein authentication.

Yong Qi, Ya Zhou, Chang Zhou, Xinran Hu, Xiaoming Hu

Proceedings of the IEEE International Conference on Identity, 2016

3D feature array involved registration algorithm for multi-pose hand vein authentication.

Yong Qi, Ya Zhou, Chang Zhou, Xinran Hu, Xiaoming Hu

Proceedings of the International Conference on Biometrics, 2016

GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing.

Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Layered Location-Based Security Mechanism for Mobile Sensor Networks: Moving Security Areas.

Ze Wang, Haijuan Zhang, Luqiang Wu, Chang Zhou

Sensors, 2015

A Predictor-Corrector Algorithm for Monotone Linear Complementarity Problems in a Wide Neighborhood.

Xiaojue Ma, Hongwei Liu, Chang Zhou

Int. J. Bifurc. Chaos, 2015

2014

MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing.

Chang Zhou, Jun Gao, Binbin Sun, Jeffrey Xu Yu

Proc. VLDB Endow., 2014

Continuous pattern detection over billion-edge graph using distributed framework.

Jun Gao, Chang Zhou, Jiashuai Zhou, Jeffrey Xu Yu

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

GLog: A high level graph analysis system using MapReduce.

Jun Gao, Jiashuai Zhou, Chang Zhou, Jeffrey Xu Yu

Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2012

An Efficient Renewable Energy Management and Sharing System for Sustainable Embedded Devices.

Ting Zhu, Chang Zhou

J. Electr. Comput. Eng., 2012

2011

A Brief Study on Teaching Evaluation System Based on Fuzzy Rule with Scientific Teaching Materials.

Fajun Zhang, Wenjie Fang, Chang Zhou, Zhong Liu

Proceedings of the Advances in Computer Science, Environment, Ecoinformatics, and Education, 2011