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Hao Wang 0005
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Publications
- 2023
- [j23]Hao Wang, Chengcheng Yang, Xiangliang Zhang, Xin Gao:
Efficient locality-sensitive hashing over high-dimensional streaming data. Neural Comput. Appl. 35(5): 3753-3766 (2023) - [j22]Ran Zuo, Xiaoming Deng, Keqi Chen, Zhengming Zhang, Yu-Kun Lai, Fang Liu, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang:
Fine-Grained Video Retrieval With Scene Sketches. IEEE Trans. Image Process. 32: 3136-3149 (2023) - [j21]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(2): 2103-2117 (2023) - [c69]Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han:
GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM. AAAI 2023: 4972-4980 - [c68]Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang:
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. ICCV 2023: 11686-11696 - [c67]Kaicheng Yang, Yuanpeng Li, Sheng Long, Tong Yang, Ruijie Miao, Yikai Zhao, Chaoyang Ji, Penghui Mi, Guodong Yang, Qiong Xie, Hao Wang, Yinhua Wang, Bo Deng, Zhiqiang Liao, Chengqiang Huang, Yongqiang Yang, Xiang Huang, Wei Sun, Xiaoping Zhu:
AAsclepius: Monitoring, Diagnosing, and Detouring at the Internet Peering Edge. USENIX ATC 2023: 655-671 - [c66]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [i26]Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang:
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. CoRR abs/2307.12574 (2023) - 2022
- [j20]Fang Liu, Xiaoming Deng, Jian-Cheng Song, Yu-Kun Lai, Yong-Jin Liu, Hao Wang, Cuixia Ma, Shengfeng Qin, Hongan Wang:
SketchMaker: Sketch Extraction and Reuse for Interactive Scene Sketch Composition. ACM Trans. Interact. Intell. Syst. 12(3): 23:1-23:26 (2022) - [j19]Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao:
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13(4): 68:1-68:18 (2022) - [j18]Kevin T. Maher, Ze-Yuan Huang, Jian-Cheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang:
E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches. IEEE Trans. Vis. Comput. Graph. 28(1): 508-517 (2022) - [c65]Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
Toward Knowledge-Enriched Conversational Recommendation Systems. ConvAI@ACL 2022: 212-217 - [c64]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract). ICDE 2022: 1533-1534 - [c63]Xuan Rao, Hao Wang, Liang Zhang, Jing Li, Shuo Shang, Peng Han:
FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting. IJCAI 2022: 3926-3932 - [c62]Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, Nicholas Zhang:
QCluster: Clustering Packets for Flow Scheduling. WWW 2022: 1752-1763 - [i25]Xu Zheng, Yunhao Luo, Hao Wang, Chong Fu, Lin Wang:
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. CoRR abs/2209.02178 (2022) - [i24]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - 2021
- [j17]Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He:
Learning Robust Feature Transformation for Domain Adaptation. Pattern Recognit. 114: 107870 (2021) - [c61]Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. AAAI 2021: 14568-14576 - [c60]Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao:
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. AAAI 2021: 14577-14585 - [c59]Jingjing Li, Hao Wang:
Application of Artificial Intelligence in Libraries. AIAM (IEEE) 2021: 323-329 - [c58]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. KDD 2021: 2263-2273 - [c57]Hongyuan Zhu, Ye Niu, Di Fu, Hao Wang:
MusicBERT: A Self-supervised Learning of Music Representation. ACM Multimedia 2021: 3955-3963 - [c56]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. SIGIR 2021: 213-222 - [c55]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. SIGIR 2021: 808-817 - [c54]Chen Zhang, Hao Wang, Feijun Jiang, Hongzhi Yin:
Adapting to Context-Aware Knowledge in Natural Conversation for Multi-Turn Response Selection. WWW 2021: 1990-2001 - [i23]Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang:
Network Clustering for Multi-task Learning. CoRR abs/2101.09018 (2021) - [i22]Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. CoRR abs/2104.01711 (2021) - [i21]Guanglin Niu, Yang Li, Chengguang Tang, Ruiying Geng, Jian Dai, Qiao Liu, Hao Wang, Jian Sun, Fei Huang, Luo Si:
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. CoRR abs/2104.13095 (2021) - [i20]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Zi Huang, Kai Zheng:
Learning to Ask Appropriate Questions in Conversational Recommendation. CoRR abs/2105.04774 (2021) - [i19]Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
KECRS: Towards Knowledge-Enriched Conversational Recommendation System. CoRR abs/2105.08261 (2021) - [i18]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. CoRR abs/2106.04993 (2021) - [i17]Kevin T. Maher, Ze-Yuan Huang, Jian-Cheng Song, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Hao Wang, Yong-Jin Liu, Hongan Wang:
E-ffective: A Visual Analytic System for Exploring the Emotion and Effectiveness of Inspirational Speeches. CoRR abs/2110.14908 (2021) - [i16]Guanglin Niu, Yang Li, Chengguang Tang, Zhongkai Hu, Shibin Yang, Peng Li, Chengyu Wang, Hao Wang, Jian Sun:
Path-Enhanced Multi-Relational Question Answering with Knowledge Graph Embeddings. CoRR abs/2110.15622 (2021) - 2020
- [j16]Hao Wang, Yuan-Yuan Yang, Yang Pan, Peng Han, Zhong-Xiao Li, He-Guang Huang, Shun-Zhi Zhu:
Detecting thoracic diseases via representation learning with adaptive sampling. Neurocomputing 406: 354-360 (2020) - [j15]Tong Chen, Hongzhi Yin, Hongxu Chen, Hao Wang, Xiaofang Zhou, Xue Li:
Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowl. Inf. Syst. 62(6): 2139-2167 (2020) - [j14]Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang:
CRSAL: Conversational Recommender Systems with Adversarial Learning. ACM Trans. Inf. Syst. 38(4): 34:1-34:40 (2020) - [c53]Zhibo Xiao, Luwei Yang, Wen Jiang, Yi Wei, Yi Hu, Hao Wang:
Deep Multi-Interest Network for Click-through Rate Prediction. CIKM 2020: 2265-2268 - [c52]Luwei Yang, Zhibo Xiao, Wen Jiang, Yi Wei, Yi Hu, Hao Wang:
Dynamic Heterogeneous Graph Embedding Using Hierarchical Attentions. ECIR (2) 2020: 425-432 - [c51]Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao:
Towards Persona-Based Empathetic Conversational Models. EMNLP (1) 2020: 6556-6566 - [c50]Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang:
Contextualized Point-of-Interest Recommendation. IJCAI 2020: 2484-2490 - [c49]Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. SIGIR 2020: 2251-2260 - [c48]Qinyong Wang, Hongzhi Yin, Tong Chen, Zi Huang, Hao Wang, Yanchang Zhao, Nguyen Quoc Viet Hung:
Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices. WWW 2020: 906-916 - [i15]Peixiang Zhong, Yan Sun, Yong Liu, Chen Zhang, Hao Wang, Zaiqing Nie, Chunyan Miao:
Endowing Empathetic Dialogue Systems with Personas. CoRR abs/2004.12316 (2020) - [i14]Dehong Gao, Wenjing Yang, Huiling Zhou, Yi Wei, Yi Hu, Hao Wang:
Deep Hierarchical Classification for Category Prediction in E-commerce System. CoRR abs/2005.06692 (2020) - [i13]Dehong Gao, Linbo Jin, Ben Chen, Minghui Qiu, Peng Li, Yi Wei, Yi Hu, Hao Wang:
FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. CoRR abs/2005.09801 (2020) - [i12]Tong Yang, Jizhou Li, Yikai Zhao, Kaicheng Yang, Hao Wang, Jie Jiang, Yinda Zhang, Nicholas Zhang:
QCluster: Clustering Packets for FlowScheduling. CoRR abs/2006.14884 (2020) - [i11]Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao:
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. CoRR abs/2012.08377 (2020) - [i10]Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. CoRR abs/2012.08383 (2020) - 2019
- [j13]Wei Wang, Hao Wang, Zhaoxiang Zhang, Chen Zhang, Yang Gao:
Semi-supervised domain adaptation via Fredholm integral based kernel methods. Pattern Recognit. 85: 185-197 (2019) - [j12]Chen Zhang, Hao Wang:
ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data. ACM Trans. Intell. Syst. Technol. 10(1): 8:1-8:25 (2019) - [j11]Lun Wang, Tong Yang, Hao Wang, Jie Jiang, Zekun Cai, Bin Cui, Xiaoming Li:
Fine-grained probability counting for cardinality estimation of data streams. World Wide Web 22(5): 2065-2081 (2019) - [j10]Tong Yang, Haowei Zhang, Hao Wang, Muhammad Shahzad, Xue Liu, Qin Xin, Xiaoming Li:
FID-sketch: an accurate sketch to store frequencies in data streams. World Wide Web 22(6): 2675-2696 (2019) - [c47]Lulu Wang, Huahui Liu, Guanhao Chen, Guoqiao Ye, Xiaonan Meng, Yi Hu, Hao Wang:
Learning Theory and Algorithms for Revenue Maximization in Sponsored Search. ICDM Workshops 2019: 434-440 - [c46]Qinyong Wang, Hongzhi Yin, Hao Wang, Quoc Viet Hung Nguyen, Zi Huang, Lizhen Cui:
Enhancing Collaborative Filtering with Generative Augmentation. KDD 2019: 548-556 - [c45]Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Kuang-chih Lee, Hao Wang:
Optimal Delivery with Budget Constraint in E-Commerce Advertising. ORSUM@RecSys 2019: 46-58 - [i9]Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Hao Wang:
Optimal Delivery with Budget Constraint in E-Commerce Advertising. CoRR abs/1909.13221 (2019) - 2018
- [j9]Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory. Neural Comput. 30(3) (2018) - [j8]Bing Su, Xiaoqing Ding, Hao Wang, Ying Wu:
Discriminative Dimensionality Reduction for Multi-Dimensional Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 77-91 (2018) - [j7]Guozhen Zhao, Yan Ge, Biying Shen, Xingjie Wei, Hao Wang:
Emotion Analysis for Personality Inference from EEG Signals. IEEE Trans. Affect. Comput. 9(3): 362-371 (2018) - [c44]Qinyong Wang, Hongzhi Yin, Hao Wang, Zi Huang:
TSAUB: A Temporal-Sentiment-Aware User Behavior Model for Personalized Recommendation. ADC 2018: 211-223 - [c43]Lun Wang, Zekun Cai, Hao Wang, Jie Jiang, Tong Yang, Bin Cui, Xiaoming Li:
Fine-Grained Probability Counting: Refined LogLog Algorithm. BigComp 2018: 176-183 - [c42]Peng Liu, Hao Wang, Siang Gao, Tong Yang, Lei Zou, Lorna Uden, Xiaoming Li:
ID Bloom Filter: Achieving Faster Multi-Set Membership Query in Network Applications. ICC 2018: 1-6 - [c41]Tong Chen, Hongzhi Yin, Hongxu Chen, Lin Wu, Hao Wang, Xiaofang Zhou, Xue Li:
TADA: Trend Alignment with Dual-Attention Multi-task Recurrent Neural Networks for Sales Prediction. ICDM 2018: 49-58 - [c40]Changying Du, Xingyu Xie, Changde Du, Hao Wang:
Redundancy-resistant Generative Hashing for Image Retrieval. IJCAI 2018: 5017-5023 - [c39]Hongxu Chen, Hongzhi Yin, Weiqing Wang, Hao Wang, Quoc Viet Hung Nguyen, Xue Li:
PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction. KDD 2018: 1177-1186 - [c38]Changying Du, Changde Du, Xingyu Xie, Chen Zhang, Hao Wang:
Multi-view Adversarially Learned Inference for Cross-domain Joint Distribution Matching. KDD 2018: 1348-1357 - [c37]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c36]Chen Zhang, Yijun Wang, Can Chen, Changying Du, Hongzhi Yin, Hao Wang:
StockAssIstant: A Stock AI Assistant for Reliability Modeling of Stock Comments. KDD 2018: 2710-2719 - [c35]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. ACM Multimedia 2018: 108-116 - [c34]Yihang Cheng, Xi Zhang, Hao Wang, Shang Jiang:
How to Improve the Answering Effectiveness in Pay-for-Knowledge Community: An Exploratory Application of Intelligent QA System. WWW (Companion Volume) 2018: 313-317 - [c33]Weiru Zhang, Chao Wei, Xiaonan Meng, Yi Hu, Hao Wang:
The Whole-Page Optimization via Dynamic Ad Allocation. WWW (Companion Volume) 2018: 1407-1411 - [i8]Changde Du, Changying Du, Hao Wang, Jinpeng Li, Wei-Long Zheng, Bao-Liang Lu, Huiguang He:
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data. CoRR abs/1808.02096 (2018) - 2017
- [j6]Wei Wang, Chen Zhang, Hao Wang, Yang Gao, Yuanman Zheng:
A cognition graph approach for insights generation from event sequences. Clust. Comput. 20(2): 1679-1690 (2017) - [j5]Bing Su, Xiaoqing Ding, Changsong Liu, Hao Wang, Ying Wu:
Discriminative Transformation for Multi-Dimensional Temporal Sequences. IEEE Trans. Image Process. 26(7): 3579-3593 (2017) - [j4]Hongzhi Yin, Weiqing Wang, Hao Wang, Ling Chen, Xiaofang Zhou:
Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation. IEEE Trans. Knowl. Data Eng. 29(11): 2537-2551 (2017) - [c32]Wei Wang, Hao Wang, Chen Zhang, Yang Gao:
Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation. AAAI 2017: 2732-2738 - [c31]Qinyong Wang, Hongzhi Yin, Hao Wang:
A Time and Sentiment Unification Model for Personalized Recommendation. APWeb/WAIM (2) 2017: 98-113 - [c30]Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang:
Using Argument-based Features to Predict and Analyse Review Helpfulness. EMNLP 2017: 1358-1363 - [c29]Hongzhi Yin, Hongxu Chen, Xiaoshuai Sun, Hao Wang, Yang Wang, Quoc Viet Hung Nguyen:
SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction. ICDM 2017: 585-594 - [c28]Chen Zhang, Hao Wang, Hui Xiong:
An Automatic Approach for Transit Advertising in Public Transportation Systems. ICDM 2017: 1183-1188 - [c27]Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong:
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. KDD 2017: 1135-1143 - [c26]Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang:
Joint RNN model for argument component boundary detection. SMC 2017: 57-62 - [c25]Jiaxin Wang, Cuixia Ma, Hao Wang, Hongan Wang:
Leveraging weak segmentation for multi-object tracking system. SMC 2017: 63-68 - [c24]Mengxue Li, Shiqiang Geng, Yang Gao, Shuhua Peng, Haijing Liu, Hao Wang:
Crowdsourcing argumentation structures in Chinese hotel reviews. SMC 2017: 87-92 - [i7]Yang Gao, Hao Wang, Chen Zhang, Wei Wang:
Reinforcement Learning Based Argument Component Detection. CoRR abs/1702.06239 (2017) - [i6]Mengxue Li, Shiqiang Geng, Yang Gao, Haijing Liu, Hao Wang:
Crowdsourcing Argumentation Structures in Chinese Hotel Reviews. CoRR abs/1705.02077 (2017) - [i5]Minglan Li, Yang Gao, Hui Wen, Yang Du, Haijing Liu, Hao Wang:
Joint RNN Model for Argument Component Boundary Detection. CoRR abs/1705.02131 (2017) - [i4]Chen Zhang, Hao Wang, Yingcai Wu:
ResumeVis: A Visual Analytics System to Discover Semantic Information in Semi-structured Resume Data. CoRR abs/1705.05206 (2017) - [i3]Huahui Liu, Mingrui Zhu, Xiaonan Meng, Yi Hu, Hao Wang:
Dual Based DSP Bidding Strategy and its Application. CoRR abs/1705.09416 (2017) - [i2]Hao Wang, Yanmei Fu, Qinyong Wang, Hongzhi Yin, Changying Du, Hui Xiong:
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users. CoRR abs/1706.06239 (2017) - [i1]Haijing Liu, Yang Gao, Pin Lv, Mengxue Li, Shiqiang Geng, Minglan Li, Hao Wang:
Using Argument-based Features to Predict and Analyse Review Helpfulness. CoRR abs/1707.07279 (2017) - 2016
- [j3]Chen Zhang, Hao Wang, Liangliang Cao, Wei Wang, Fanjiang Xu:
A hybrid term-term relations analysis approach for topic detection. Knowl. Based Syst. 93: 109-120 (2016) - [j2]Hongzhi Yin, Xiaofang Zhou, Bin Cui, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung:
Adapting to User Interest Drift for POI Recommendation. IEEE Trans. Knowl. Data Eng. 28(10): 2566-2581 (2016) - [c23]Yang Gao, Francesca Toni, Hao Wang, Fanjiang Xu:
Argumentation-Based Multi-Agent Decision Making with Privacy Preserved. AAMAS 2016: 1153-1161 - [c22]Min Xie, Hongzhi Yin, Hao Wang, Fanjiang Xu, Weitong Chen, Sen Wang:
Learning Graph-based POI Embedding for Location-based Recommendation. CIKM 2016: 15-24 - [c21]Hao Wang, Siyu Lu, Chen Zhang, Qinyong Wang, Fanjiang Xu:
Timing-IdeaGraph: A directed cognition graph approach for decision making based on temporal event sequences. CSCWD 2016: 322-326 - [c20]Bing Su, Jiahuan Zhou, Xiaoqing Ding, Hao Wang, Ying Wu:
Hierarchical Dynamic Parsing and Encoding for Action Recognition. ECCV (4) 2016: 202-217 - [c19]Hao Wang, Chen Zhang, Hongzhi Yin, Wei Wang, Jun Zhang, Fanjiang Xu:
A Unified Framework for Fine-Grained Opinion Mining from Online Reviews. HICSS 2016: 1134-1143 - [c18]Chen Zhang, Hao Wang, Wei Wang, Cuixia Ma, Jingjing Li, Yibo Wang, Fanjiang Xu:
EventPanorama: A Framework for Event Detection and Visualization from Online News. HICSS 2016: 3739-3748 - [c17]Hongzhi Yin, Zhiting Hu, Xiaofang Zhou, Hao Wang, Kai Zheng, Nguyen Quoc Viet Hung, Shazia Wasim Sadiq:
Discovering interpretable geo-social communities for user behavior prediction. ICDE 2016: 942-953 - [c16]Min Xie, Hongzhi Yin, Fanjiang Xu, Hao Wang, Xiaofang Zhou:
Graph-Based Metric Embedding for Next POI Recommendation. WISE (2) 2016: 207-222 - 2015
- [c15]Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu:
Transfer Feature Representation via Multiple Kernel Learning. AAAI 2015: 3073-3079 - [c14]Hongzhi Yin, Xiaofang Zhou, Yingxia Shao, Hao Wang, Shazia Wasim Sadiq:
Joint Modeling of User Check-in Behaviors for Point-of-Interest Recommendation. CIKM 2015: 1631-1640 - [c13]Chen Zhang, Hao Wang, Wei Wang, Fanjiang Xu:
RCFGED: Retrospective Coarse and Fine-Grained Event Detection from Online News. SMC 2015: 139-144 - [c12]Yibo Wang, Chen Zhang, Wei Wang, Fanjiang Xu, Hao Wang:
CiFDAL: A Graph Layout Algorithm to Enhance Human Cognition in Idea Discovery. SMC 2015: 1545-1550 - [c11]Hui Zhang, Qiyun Zhao, Hao Wang, Chen Zhang, Fanjiang Xu:
Mining Opinion Words and Targets from Online Reviews in a Hybrid Framework. WI-IAT (3) 2015: 9-12 - [c10]Siyu Lu, Meng Zhao, Hui Zhang, Chen Zhang, Wei Wang, Hao Wang:
GenderPredictor: A Method to Predict Gender of Customers from E-commerce Website. WI-IAT (3) 2015: 13-16 - [c9]Meng Zhao, Hao Wang, Liangliang Cao, Chen Zhang, Hongzhi Yin, Fanjiang Xu:
LSIF: A System for Large-Scale Information Flow Detection Based on Topic-Related Semantic Similarity Measurement. WI-IAT (1) 2015: 417-424 - [p1]Hao Wang, Yukio Ohsawa, Xiaohui Hu, Fanjiang Xu:
Idea Discovery: A Context-Awareness Dynamic System Approach for Computational Creativity. Smart Modeling and Simulation for Complex Systems 2015: 99-111 - 2014
- [c8]Hao Wang, Wei Wang, Chen Zhang, Fanjiang Xu:
Cross-Domain Metric Learning Based on Information Theory. AAAI 2014: 2099-2105 - [c7]Qiyun Zhao, Hao Wang, Pin Lv, Chen Zhang:
A Bootstrapping Based Refinement Framework for Mining Opinion Words and Targets. CIKM 2014: 1995-1998 - [c6]Qiyun Zhao, Hao Wang, Pin Lv:
Joint Propagation and Refinement for Mining Opinion Words and Targets. ICDM Workshops 2014: 417-424 - [c5]Qinyong Wang, Hao Wang, Chen Zhang, Wei Wang, Zhe Chen, Fanjiang Xu:
A Parallel Implementation of Idea Graph to Extract Rare Chances from Big Data. ICDM Workshops 2014: 503-510 - [c4]Hao Wang, Chen Zhang, Wei Wang, Xiaohui Hu, Fanjiang Xu:
Human-centric computational knowledge environment for complex or ill-structured problem solving. SMC 2014: 2940-2945 - [c3]Chen Zhang, Hao Wang, Wei Wang, Fanjiang Xu:
An improved ideagraph algorithm for discovering important rare events. SMC 2014: 3290-3295 - 2013
- [c2]Chen Zhang, Hao Wang, Fanjiang Xu, Xiaohui Hu:
IdeaGraph Plus: A Topic-Based Algorithm for Perceiving Unnoticed Events. ICDM Workshops 2013: 735-741 - [c1]Hao Wang, Fanjiang Xu, Xiaohui Hu, Yukio Ohsawa:
IdeaGraph: A Graph-Based Algorithm of Mining Latent Information for Human Cognition. SMC 2013: 952-957 - 2012
- [j1]Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi:
Recommending Flickr groups with social topic model. Inf. Retr. 15(3-4): 278-295 (2012)
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