173. Shichao Pei, Lu Yu, Xiangliang Zhang. Set-aware Entity Synonym Discovery with Flexible Receptive Fields. IEEE Transactions on Knowledge and Data Engineering (TKDE). Early Access. DOI: 10.1109/TKDE.2021.3087532
172. Zhuo Yang, Yufei Han and Xiangliang Zhang. Attack Transferability Characterization for Adversarially Robust Multi-label Classification. Accepted by ECML/PKDD 2021. Virtual Conference. Aug 13-17, 2021. (Acceptance Rate = 147/685 = 21%)
171. Peng Han, Jin Wang, Di Yao, Shuo Shang, and Xiangliang Zhang. A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021). Virtual Conference. Aug 14-18, 2021. (Acceptance Rate = 238/1541 = 15.4%)
170. Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, and Quoc Viet Hung Nguyen. Socially-Aware Self-Supervised Tri-Training for Recommendation. Accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021). Virtual Conference, Aug 14-18, 2021. (Acceptance Rate = 238/1541 = 15.4%)
169. Zhize Li, Hongyan Bao, Xiangliang Zhang, Peter Richtarik. PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization. Accepted for long presentation at the 38th International Conference on Machine Learning (ICML 2021) (acceptance rate of 21.5%, (166 long +1018 short)/5513 )
168. Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao and Rui Yan. Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation. To appear at the ACL-IJCNLP 2021 main conference.
167. Zhenwen Liang, Xiangliang Zhang. Solving Math Word Problems with Teacher Supervision. Accepted by The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021) Montreal-themed Virtual Reality, 21st -26th August, 2021 (acceptance rate of 13.9%, 587/4204)
166. Carlos M Duarte, Lucille Chapuis, Shaun P Collin, Daniel P Costa, Reny P Devassy, Victor M Eguiluz, Christine Erbe, Timothy AC Gordon, Benjamin S Halpern, Harry R Harding, Michelle N Havlik, Mark Meekan, Nathan D Merchant, Jennifer L Miksis-Olds, Miles Parsons, Milica Predragovic, Andrew N Radford, Craig A Radford, Stephen D Simpson, Hans Slabbekoorn, Erica Staaterman, Ilse C Van Opzeeland, Jana Winderen, Xiangliang Zhang, Francis Juanes. The soundscape of the Anthropocene ocean. Science. Vol 371, Issue 6529. 05 February 2021.
Underwater Noise Pollution is Disrupting Ocean Life - But We Can Fix It.
165. Xiangliang Zhang, Qiang Yang, Somayah Albaradei, Xiaoting Lyu, Hind Alamro, Adil Salhi, Changsheng Ma, Manal Alshehri, Inji Ibrahim Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao. Rise and Fall of the Global Conversation and Shifting Sentiments During the COVID-19 Pandemic. To appear in Nature’s Humanities and Social Sciences Communications. 2021. [PDF]
164. Zhuo Yang, Yufei Han, and Xiangliang Zhang. Characterizing the Evasion Attackability of Multi-label Classifiers. Accepted for presentation at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (acceptance rate of 21%, 1692/7911)
163. Lin Xiao, Xiangliang Zhang, Chi Huang, Mingyang Song and Liping Jing. Does Head Label Help for Long-Tailed Multi-Label Text Classification. Accepted for presentation at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021) (acceptance rate of 21%, 1692/7911)
161. Yuanlin Yang, Guoxian Yu, Carlotta Domeniconi, Xiangliang Zhang. Deep Multi-type Objects Muli-view Multi-instance Multi-label Learning. Accepted by
SIAM Conference on Data Mining (SDM'21), Virtual Conference, April 29 - May 1, 2021 (acceptance rate of 21%, 85/400)
160. Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Lizhen Cui and Xiangliang Zhang. Graph Embedding for Recommendation against Attribute Inference Attacks.
The Web Conference 2021 (WWW'21), April, 2021. (acceptance rate of 20.6%, 357/1736)
159. Junliang Yu, Hongzhi Yin, Jundong Li, Qinyong Wang, Nguyen Quoc Viet Hung and Xiangliang Zhang. Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
The Web Conference 2021 (WWW'21), April, 2021. (acceptance rate of 20.6%, 357/1736)
158. Waqas W. Ahmed, Mohamed Farhat, Xiangliang Zhang, Ying Wu. Deterministic and probabilistic deep learning models for inverse design of broadband acoustic cloak. Accepted as a Regular Article in
Physical Review Research.
157. Muhammad Imran, Hongzhi Yin, Tong Chen, Zi Huang,
Xiangliang Zhang, Kai Zheng. DDHH: A Decentralized Deep Learning Framework for Large-scale Heterogeneous Networks. IEEE 37th
International Conference on Data Engineering (ICDE'21), Greece, April, 2021. (6-Page Short Paper).
153. Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang, "Multiview Multi-Instance Multilabel Active Learning
152. Qiaoyu Tan, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang: Individuality- and Commonality-Based Multiview Multilabel Learning.
IEEE Transactions on Cybernetics, 51(3): 1716-1727 (2021)
149. An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou, Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation. Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
148. Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Xiangliang Zhang, "CrowdWT: Crowdsourcing via Joint Modeling of Workers and Tasks". Accepted by ACM Transactions on Knowledge Discovery from Data (TKDD), 2021.
147. Guoxian Yu, Xia Chen, Carlotta Domeniconi, Jun Wang, Zhao Li, Zili Zhang, Xiangliang Zhang, CMAL: Cost-effective Multi-label Active Learning by Querying Subexamples. Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021.
146. Xuhui Ren, Hongzhi Yin, Tong Chen, Hao Wang, Nguyen Quoc Viet Hung, Zi Huang, Xiangliang Zhang, Crsal: Conversational recommender systems with adversarial learning. Accepted by ACM Transactions on Information Systems (TOIS), 2021.
145. Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, and Xiangliang Zhang. Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. Accepted by Neural Information Processing Systems (NeurIPS 2020). Virtual-only Conference. (Acceptance rate = 1900 /9454 = 20%).
144. Uchenna Akujuobi, Michael Spranger, Sucheendra K Palaniappan, Xiangliang Zhang, "T-PAIR: Temporal Node-pair Embedding for Automatic Biomedical Hypothesis Generation," Accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 [DOI].
143. Yingting Yu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang, "Partial Multi-Label Learning using Label Compression". Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. (Regular paper) (Acceptance rate = 91 (regular) / 930 submissions = 9.8%).
142. Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang, "Deep Incomplete Multi-View Multiple Clusterings". Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. (Regular paper) (Acceptance rate = 91 (regular) / 930 submissions = 9.8%).
141. Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, and Qing He, "Mate-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition". Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. (short paper) (Acceptance rate = (91 (regular) + 92 (short)) / 930 submissions = 19.7%).
140. Yuanlin Yang, Guoxian Yu, Jun Wang, Carlotta Domeniconi, and Xiangliang Zhang. Multi-type Objects Multi-view Multi-instance Multi-label Learning. Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020), November 17-20, 2020, Sorrento, Italy. (short paper) (Acceptance rate = (91 (regular) + 92 (short)) / 930 submissions = 19.7%).
139. Mubashir Imran, Hongzhi Yin, Tong Chen, Yingxia Shao, Xiangliang Zhang, Xiaofang Zhou: Decentralized Embedding Framework for Large-Scale Networks. 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020), pp. 425-441, Sep. 24-27, 2020, Jeju, South Korea (Best Student Paper Award).
138. Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla: Multi-modal Network Representation Learning. KDD 2020: 3557-3558. 26th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), pp. 3557-3558, August 22 - 27, 2020, San Diego, CA, USA. [Lecture-Style Tutorials]
137. Shichao Pei, Lu Yu, Guoxian Yu and Xiangliang Zhang. REA: Robust Cross-lingual Entity Alignment Between Knowledge Graphs. The 26th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020): 2175-2184, August 22 - 27, 2020, San Diego, CA, USA. (Acceptance rate 216/1279=16.9%).
136. Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li and Xiangliang Zhang. Attackability Characterization of Adversarial Evasion Attack on Discrete Data. The 26th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020):1415-1425, August 22 - 27, 2020, San Diego, CA, USA. (Acceptance rate 216/1279=16.9%).
135. Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Weakly-Supervised Multi-view Multi-instance Multi-label Learning. Accepted by 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), July 11-17, 2020, Yokohama, Japan. (Acceptance rate 592/4717=12.6%).
131. Yufei Han, Xiangliang Zhang. Robust Federated Learning via Collaborative Machine Teaching. In the Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). Feb 7-12, 2020, New York. (acceptance rate = 1591/7737 = 20.6%) (paper at arXiv).
130. Shaowei Wei, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Multi-View Multiple Clusterings using Deep Matrix Factorization. In the Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). Feb 7-12, 2020, New York. (acceptance rate = 1591/7737 = 20.6%)
129. Uchenna Akujuobi, Qiannan Zhang, Han Yufei, Xiangliang Zhang. Recurrent Attention Walk for Semi-supervised Classification. In the Proceedings of The 13th ACM International WSDM Conference. Feb 3-7, 2020, Houston, Texas. (Acceptance rate =91/615 = 15%) (paper at arXiv) (code)
128. Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang. Attention-Aware Answers of the Crowd. In the Proceedings of SIAM Conference on Data Mining (SDM). May 7 - 9, 2020 Cincinnati, Ohio, U.S. (acceptance rate = 75/312 = 24%)
127. Yujun Chen, Ke Sun, Juhua Pu, Zhang Xiong, Xiangliang Zhang. GraPASA: Parametric Graph Embedding via Siamese Architecture. Information Sciences 512: 1442-1457 (2020).
126. Yujun Chen, Juhua Pu, Xingwu Liu, Xiangliang Zhang. Gaussian Mixture Embedding of Multiple Node Roles in Networks, World Wide Web 23(2): 927-950 (2020) [PDF]
125. Xing Liu, Jiqiang Liu, Sencun Zhu, Wei Wang, Xiangliang Zhang, Privacy Risk Analysis and Mitigation of Analytics Libraries in the Android Ecosystem. IEEE Transactions on Mobile Computing, 19(5): 1184-1199 (2020)[PDF][Bib].
2019
96. Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He. Transfer collaborative filtering from multiple sources via consensus regularization. In Neural Networks Volume 108, pp. 287-295, December 2018.
95. Weiqi Wang, An Liu, Zhixu Li, Xiangliang Zhang, Qing Li, Xiaofang Zhou. Protecting multi-party privacy in location-aware social point-of-interest recommendation. World Wide Web, pp. 1-21, April 2018.