Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDJiliang Tang
Person information
- affiliation: Arizona State University, Tempe, Arizona, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[c151]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. AAAI 2021: 750-758- [c150]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: a Platform for Adversarial Attacks and Defenses. AAAI 2021: 16078-16080 - [c149]Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu:
Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. AIED (2) 2021: 183-189 - [c148]Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu:
Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. AIED (2) 2021: 256-261 - [c147]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. WSDM 2021: 148-156 - [c146]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. WWW 2021: 3015-3022 - [c145]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
UserSim: User Simulation via Supervised GenerativeAdversarial Network. WWW 2021: 3582-3589 - [i79]Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang:
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. CoRR abs/2105.02778 (2021) - [i78]Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Graph Feature Gating Networks. CoRR abs/2105.04493 (2021) - [i77]Han Xu, Xiaorui Liu, Wentao Wang, Wenbiao Ding, Zhongqin Wu, Zitao Liu, Anil K. Jain, Jiliang Tang:
Towards the Memorization Effect of Neural Networks in Adversarial Training. CoRR abs/2106.04794 (2021) - [i76]Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang:
Automated Self-Supervised Learning for Graphs. CoRR abs/2106.05470 (2021) - [i75]Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang:
Is Homophily a Necessity for Graph Neural Networks? CoRR abs/2106.06134 (2021) - [i74]Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang:
AutoLoss: Automated Loss Function Search in Recommendations. CoRR abs/2106.06713 (2021) - 2020
- [j31]Han Xu
, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. Int. J. Autom. Comput. 17(2): 151-178 (2020) - [j30]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs. SIGKDD Explor. 22(2): 19-34 (2020) - [j29]Tyler Derr, Zhiwei Wang, Jamell Dacon, Jiliang Tang:
Link and interaction polarity predictions in signed networks. Soc. Netw. Anal. Min. 10(1): 18 (2020) - [j28]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science-guided Feature Engineering: A Novel Approach to Signed Link Analysis. ACM Trans. Intell. Syst. Technol. 11(1): 11:1-11:27 (2020) - [c144]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. AAAI 2020: 670-677 - [c143]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-Level Dependencies for Robust Word Recognition. AAAI 2020: 9250-9257 - [c142]Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang:
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest. AIED (2) 2020: 130-134 - [c141]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. AIED (2) 2020: 162-167 - [c140]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. AIED (1) 2020: 269-281 - [c139]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. AISTATS 2020: 133-143 - [c138]Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. CIKM 2020: 1435-1444 - [c137]Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang:
Whole-Chain Recommendations. CIKM 2020: 1883-1891 - [c136]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. COLING 2020: 1826-1840 - [c135]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. COLING 2020: 4403-4416 - [c134]Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang:
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network. EDM 2020 - [c133]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. EMNLP (1) 2020: 893-903 - [c132]Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. ICDM 2020: 302-311 - [c131]Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Learning from Incomplete Labeled Data via Adversarial Data Generation. ICDM 2020: 1316-1321 - [c130]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. KDD 2020: 66-74 - [c129]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. KDD 2020: 430-438 - [c128]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. KDD 2020: 3319-3327 - [c127]Han Xu, Yaxin Li, Wei Jin, Jiliang Tang:
Adversarial Attacks and Defenses: Frontiers, Advances and Practice. KDD 2020: 3541-3542 - [c126]Zitao Liu, Songfan Yang, Jiliang Tang, Neil Heffernan, Rose Luckin:
Recent Advances in Multimodal Educational Data Mining in K-12 Education. KDD 2020: 3549-3550 - [c125]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest. L@S 2020: 249-252 - [c124]Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang:
Global-and-Local Aware Data Generation for the Class Imbalance Problem. SDM 2020: 307-315 - [c123]Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang:
Deep Adversarial Canonical Correlation Analysis. SDM 2020: 352-360 - [c122]Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin:
Streaming Graph Neural Networks. SIGIR 2020: 719-728 - [c121]Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang:
Automated Embedding Size Search in Deep Recommender Systems. SIGIR 2020: 2307-2316 - [c120]Hamid Karimi, Kaitlin T. Torphy, Tyler Derr, Kenneth A. Frank, Jiliang Tang:
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest. TALE 2020: 536-541 - [c119]Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang:
Epidemic Graph Convolutional Network. WSDM 2020: 160-168 - [c118]Hamid Karimi, Jiliang Tang:
Decision Boundary of Deep Neural Networks: Challenges and Opportunities. WSDM 2020: 919-920 - [c117]Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu:
Traffic Flow Prediction via Spatial Temporal Graph Neural Network. WWW 2020: 1082-1092 - [c116]Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. WWW 2020: 2782-2788 - [e2]Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash:
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN 978-1-4503-7998-4 [contents] - [i73]Ghazaleh Beigi, Jiliang Tang, Huan Liu:
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis. CoRR abs/2001.01015 (2020) - [i72]Xiangyu Zhao, Jiliang Tang:
Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction. CoRR abs/2001.06923 (2020) - [i71]Xiangyu Zhao, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Jiliang Tang:
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations. CoRR abs/2002.11252 (2020) - [i70]Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang:
Jointly Learning to Recommend and Advertise. CoRR abs/2003.00097 (2020) - [i69]Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang:
Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. CoRR abs/2003.00653 (2020) - [i68]Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses. CoRR abs/2005.06149 (2020) - [i67]Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu:
Siamese Neural Networks for Class Activity Detection. CoRR abs/2005.07549 (2020) - [i66]Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu:
Neural Multi-Task Learning for Teacher Question Detection in Online Classrooms. CoRR abs/2005.07845 (2020) - [i65]Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li:
Attacking Black-box Recommendations via Copying Cross-domain User Profiles. CoRR abs/2005.08147 (2020) - [i64]Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang:
Graph Structure Learning for Robust Graph Neural Networks. CoRR abs/2005.10203 (2020) - [i63]Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang:
Non-IID Graph Neural Networks. CoRR abs/2005.12386 (2020) - [i62]Haochen Liu, Zhiwei Wang, Tyler Derr, Jiliang Tang:
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models. CoRR abs/2005.13170 (2020) - [i61]Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji:
XGNN: Towards Model-Level Explanations of Graph Neural Networks. CoRR abs/2006.02587 (2020) - [i60]Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang:
Self-supervised Learning on Graphs: Deep Insights and New Direction. CoRR abs/2006.10141 (2020) - [i59]Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long:
Memory-efficient Embedding for Recommendations. CoRR abs/2006.14827 (2020) - [i58]Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang:
Graph Convolutional Networks against Degree-Related Biases. CoRR abs/2006.15643 (2020) - [i57]Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan:
Linear Convergent Decentralized Optimization with Compression. CoRR abs/2007.00232 (2020) - [i56]Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang:
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection. CoRR abs/2008.13361 (2020) - [i55]Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang:
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily. CoRR abs/2009.01672 (2020) - [i54]Aaron Brookhouse, Tyler Derr, Hamid Karimi, H. Russell Bernard, Jiliang Tang:
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries. CoRR abs/2009.09307 (2020) - [i53]Wentao Wang, Guowei Xu, Wenbiao Ding, Gale Yan Huang, Guoliang Li, Jiliang Tang, Zitao Liu:
Representation Learning from Limited Educational Data with Crowdsourced Labels. CoRR abs/2009.11222 (2020) - [i52]Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang:
Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. CoRR abs/2009.13028 (2020) - [i51]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR abs/2010.01777 (2020) - [i50]Han Xu, Xiaorui Liu, Yaxin Li, Jiliang Tang:
To be Robust or to be Fair: Towards Fairness in Adversarial Training. CoRR abs/2010.06121 (2020) - [i49]Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang:
Personalized Multimodal Feedback Generation in Education. CoRR abs/2011.00192 (2020) - [i48]Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang:
Node Similarity Preserving Graph Convolutional Networks. CoRR abs/2011.09643 (2020)
2010 – 2019
- 2019
- [j27]Saket Sathe, Sayani Aggarwal, Jiliang Tang:
Gene Expression and Protein Function: A Survey of Deep Learning Methods. SIGKDD Explor. 21(2): 23-38 (2019) - [j26]Xiangyu Zhao, Long Xia, Jiliang Tang, Dawei Yin:
Deep reinforcement learning for search, recommendation, and online advertising: a survey. SIGWEB Newsl. 2019(Spring): 4:1-4:15 (2019) - [j25]Zhen Yang, Haiyang Yu, Jiliang Tang, Huan Liu:
Toward Keyword Extraction in Constrained Information Retrieval in Vehicle Social Network. IEEE Trans. Veh. Technol. 68(5): 4285-4294 (2019) - [c115]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. AIED (2) 2019: 169-173 - [c114]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. AIED (2) 2019: 303-308 - [c113]Hamid Karimi, Tyler Derr, Aaron Brookhouse, Jiliang Tang:
Multi-factor congressional vote prediction. ASONAM 2019: 266-273 - [c112]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CIKM 2019: 1221-1230 - [c111]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. ICDE 2019: 1922-1927 - [c110]Zhiwei Wang, Xiaorui Liu, Jiliang Tang, Dawei Yin:
Weight Loss Prediction in Social-Temporal Context. ICHI 2019: 1-9 - [c109]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. IJCAI 2019: 1351-1357 - [c108]Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang:
Graph Convolutional Networks with EigenPooling. KDD 2019: 723-731 - [c107]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. NAACL-HLT (1) 2019: 3432-3442 - [c106]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep social collaborative filtering. RecSys 2019: 305-313 - [c105]Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang:
Multi-dimensional Graph Convolutional Networks. SDM 2019: 657-665 - [c104]Masoud Zarifneshat, Li Xiao, Jiliang Tang:
Learning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks. SECON 2019: 1-9 - [c103]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. WWW 2019: 417-426 - [c102]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. WWW 2019: 3027-3033 - [i47]Xiangyu Zhao, Long Xia, Yihong Zhao, Dawei Yin, Jiliang Tang:
Model-Based Reinforcement Learning for Whole-Chain Recommendations. CoRR abs/1902.03987 (2019) - [i46]Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin:
Graph Neural Networks for Social Recommendation. CoRR abs/1902.07243 (2019) - [i45]Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang:
Deep Adversarial Network Alignment. CoRR abs/1902.10307 (2019) - [i44]Hamid Karimi, Jiliang Tang:
Learning Hierarchical Discourse-level Structure for Fake News Detection. CoRR abs/1903.07389 (2019) - [i43]Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang:
Graph Convolutional Networks with EigenPooling. CoRR abs/1904.13107 (2019) - [i42]Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li:
Deep Adversarial Social Recommendation. CoRR abs/1905.13160 (2019) - [i41]Yao Ma, Suhang Wang, Lingfei Wu, Jiliang Tang:
Attacking Graph Convolutional Networks via Rewiring. CoRR abs/1906.03750 (2019) - [i40]Xiangyu Zhao, Long Xia, Zhuoye Ding, Dawei Yin, Jiliang Tang:
Toward Simulating Environments in Reinforcement Learning Based Recommendations. CoRR abs/1906.11462 (2019) - [i39]Zhiwei Wang, Yao Ma, Zitao Liu, Jiliang Tang:
R-Transformer: Recurrent Neural Network Enhanced Transformer. CoRR abs/1907.05572 (2019) - [i38]Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li:
Deep Social Collaborative Filtering. CoRR abs/1907.06853 (2019) - [i37]Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Recommender Systems with Heterogeneous Side Information. CoRR abs/1907.08679 (2019) - [i36]Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. CoRR abs/1908.00086 (2019) - [i35]Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Deep Knowledge Tracing with Side Information. CoRR abs/1909.00372 (2019) - [i34]Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiaobing Liu, Xiwang Yang, Jiliang Tang:
Deep Reinforcement Learning for Online Advertising in Recommender Systems. CoRR abs/1909.03602 (2019) - [i33]Haochen Liu, Tyler Derr, Zitao Liu, Jiliang Tang:
Say What I Want: Towards the Dark Side of Neural Dialogue Models. CoRR abs/1909.06044 (2019) - [i32]Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang:
Balance in Signed Bipartite Networks. CoRR abs/1909.06073 (2019) - [i31]Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, Jiliang Tang, Anil K. Jain:
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review. CoRR abs/1909.08072 (2019) - [i30]Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu:
Automatic Short Answer Grading via Multiway Attention Networks. CoRR abs/1909.10166 (2019) - [i29]Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan:
A Double Residual Compression Algorithm for Efficient Distributed Learning. CoRR abs/1910.07561 (2019) - [i28]Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang:
Does Gender Matter? Towards Fairness in Dialogue Systems. CoRR abs/1910.10486 (2019) - [i27]Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu:
Learning Multi-level Dependencies for Robust Word Recognition. CoRR abs/1911.09789 (2019) - [i26]Hamid Karimi, Tyler Derr, Jiliang Tang:
Characterizing the Decision Boundary of Deep Neural Networks. CoRR abs/1912.11460 (2019) - [i25]Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang:
Graduate Employment Prediction with Bias. CoRR abs/1912.12012 (2019) - 2018
- [j24]Zhen Yang, Jiliang Tang, Huan Liu:
Cloud Information Retrieval: Model Description and Scheme Design. IEEE Access 6: 15420-15430 (2018) - [j23]Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu:
Feature Selection: A Data Perspective. ACM Comput. Surv. 50(6): 94:1-94:45 (2018) - [j22]Xiangyu Zhao, Jiliang Tang:
Crime in Urban Areas: : A Data Mining Perspective. SIGKDD Explor. 20(1): 1-12 (2018) - [j21]Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu:
Understanding and Identifying Rhetorical Questions in Social Media. ACM Trans. Intell. Syst. Technol. 9(2): 17:1-17:22 (2018) - [j20]Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
Exploring Hierarchical Structures for Recommender Systems. IEEE Trans. Knowl. Data Eng. 30(6): 1022-1035 (2018) - [j19]Makoto Yamada, Jiliang Tang, Jose Lugo-Martinez, Ermin Hodzic, Raunak Shrestha, Avishek Saha, Hua Ouyang, Dawei Yin, Hiroshi Mamitsuka, Süleyman Cenk Sahinalp, Predrag Radivojac, Filippo Menczer, Yi Chang:
Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data. IEEE Trans. Knowl. Data Eng. 30(7): 1352-1365 (2018) - [c101]Kai Shu, Suhang Wang, Huan Liu, Jiliang Tang, Yi Chang, Ping Luo:
Exploiting User Actions for App Recommendations. ASONAM 2018: 139-142 - [c100]Yao Ma, Suhang Wang, Jiliang Tang:
Local and Global Information Preserved Network Embedding. ASONAM 2018: 222-225 - [c99]Hamid Karimi, Courtland VanDam, Liyang Ye, Jiliang Tang:
End-to-End Compromised Account Detection. ASONAM 2018: 314-321 - [c98]Tyler Derr, Zhiwei Wang, Jiliang Tang:
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks. ASONAM 2018: 363-366 - [c97]Courtland VanDam, Pang-Ning Tan, Jiliang Tang, Hamid Karimi:
CADET: A Multi-View Learning Framework for Compromised Account Detection on Twitter. ASONAM 2018: 471-478 - [c96]Hamid Karimi, Jiliang Tang, Yanen Li:
Toward End-to-End Deception Detection in Videos. IEEE BigData 2018: 1278-1283 - [c95]Tyler Derr, Charu C. Aggarwal, Jiliang Tang:
Signed Network Modeling Based on Structural Balance Theory. CIKM 2018: 557-566 - [c94]Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang:
Multi-Source Multi-Class Fake News Detection. COLING 2018: 1546-1557 - [c93]Tian Xie, Chi-Yu Li, Jiliang Tang, Guan-Hua Tu:
How Voice Service Threatens Cellular-Connected IoT Devices in the Operational 4G LTE Networks. ICC 2018: 1-6 - [c92]Tyler Derr, Yao Ma, Jiliang Tang:
Signed Graph Convolutional Networks. ICDM 2018: 929-934 - [c91]Tyler Derr, Jiliang Tang:
Congressional Vote Analysis Using Signed Networks.