Yi Zhang @ IIP, NJU-CS - 版本历史

2021年12月12日 (日) 12:32 Lhy

2021-12-12T12:32:18Z

←上一版本		2021年12月12日 (日) 20:32的版本
第48行：		第48行：
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Chen, M., Shen, J., & Wang, C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. AAAI ~~2021~~. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Chen, M., Shen, J., & Wang, C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. In ''Proceedings of  AAAI 2022''. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., '''Zhang, Y.''', & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span>
			*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M., Du Y., '''Zhang, Y.''', Qian, S., </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">& Wang, C.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Semi-Supervised Learning with Multi-Head Co-Training. In ''Proceedings of  AAAI 2022''. Accepted</span></span>

	<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>		<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>

2021年12月12日 (日) 12:20 Lhy

2021-12-12T12:20:41Z

←上一版本		2021年12月12日 (日) 20:20的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
			*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Chen, M., Shen, J., & Wang, C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. AAAI 2021. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

2021年10月19日 (二) 10:40 Lhy

2021-10-19T10:40:45Z

←上一版本		2021年10月19日 (二) 18:40的版本
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	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118).</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118).</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''&~~nbsp; <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">& </span></span></span></span>~~Wang, C. Unsupervised ~~Domain Adaptation~~ with ~~Joint Domain~~-~~Adversarial Reconnstructionn Networks~~. ''~~<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">~~In ~~Proceedings of ECML~~-~~PKDD 2020~~, ~~Accepted</span></span></span></span>''~~</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham.</span></span>
	*<span style="font-~~family~~:~~Times New Roman,Times,serif~~;"><span style="font-~~size~~:~~medium~~;">Shen J., '''Zhang Y.''', Yu C., Wang C.~~ ~~Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In'' ~~''Proceedings of  BIBM 2020'', Accepted~~</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span>

2021年7月18日 (日) 08:28 Lhy

2021-07-18T08:28:40Z

2021年7月7日 (三) 13:15 Lhy

2021-07-07T13:15:30Z

←上一版本		2021年7月7日 (三) 21:15的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482).</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE.</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

2021年7月7日 (三) 13:12 Lhy

2021-07-07T13:12:14Z

←上一版本		2021年7月7日 (三) 21:12的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C.~~ ~~Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-~~missing~~. In ''~~Proceedings of  ~~DASFAA ~~2021.~~ ~~''Accepted~~ (~~Regular~~)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In ''DASFAA (2)'' (pp. 413-428).</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C.~~ ~~Relation-~~aware~~ Alignment Attention Network for Multi-view Multi-label Learning. In ''~~Proceedings of  ~~DASFAA ~~2021. ~~''~~Accepted~~ (~~Regular~~)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482).</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C.~~ </span></span><span style="font-family:Times New Roman~~,~~Times,serif;"><span style="font-size:medium;">~~Label-~~specific~~ Alignment with Adversarial Multi-~~view~~ Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME ~~2021.~~ ~~''Accepted~~ (~~Oral~~)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE.</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>

2021年7月7日 (三) 13:06 Lhy

2021-07-07T13:06:32Z

←上一版本		2021年7月7日 (三) 21:06的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME 2021. ''Accepted (Oral)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME 2021. ''Accepted (Oral)</span></span>
			*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

2021年3月7日 (日) 11:25 Lhy

2021-03-07T11:25:21Z

←上一版本		2021年3月7日 (日) 19:25的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., ~~Zhang~~, Z., & Wang, C. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME 2021. ''Accepted (Oral)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME 2021. ''Accepted (Oral)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

2021年3月7日 (日) 11:24 Lhy

2021-03-07T11:24:20Z

←上一版本		2021年3月7日 (日) 19:24的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021. ''Accepted (Regular)</span></span>
			*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Label-specific Alignment with Adversarial Multi-view Representation. In</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''Proceedings of''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">  ''ICME 2021. ''Accepted (Oral)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

2021年1月14日 (四) 13:22 Lhy

2021-01-14T13:22:02Z

←上一版本		2021年1月14日 (四) 21:22的版本
第44行：		第44行：
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>
			*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-missing. In ''Proceedings of  DASFAA 2021'', Accepted (Regular)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zeng, C., '''Zhang, Y.''', Lu, H. Y., & Wang, C. J. (2019, July). GADGET: Using Gated GRU for Biomedical Event Trigger Detection. ''In ''2019 ''International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE'''.'''</span></span>'''

←上一版本		2021年7月18日 (日) 16:28的版本
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In ''2019 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 838-843). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zeng, C., Cheng, H., Wang, C., & Zhang, L. (2019, July). Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. In ''2019 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 838-843). IEEE. (Oral presentation)</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., & Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In ''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 102-106). IEEE.</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Cheng, H., Lu, H., Zhang, L., Wang, C., & Xie, J. (2019, November). Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. In ''2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 102-106). IEEE.</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August). Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2020, August). Common and Discriminative Semantic Pursuit for Multi-modal Multi-label Learning. ''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1666-1673). (Oral presentation)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., Zhang, L., & Wang, C. (2020, July). Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE. (Oral presentation)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Zhang, Z., Zhu, Y., Zhang, L., & Wang, C. (2020, August). Discriminative Multi-label Model Reuse for Multi-label Learning. In ''Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data'' (pp. 725-739). Springer, Cham. (Oral presentation)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In ''DASFAA (2)'' (pp. 413-428).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Zhang, Z., & Wang, C. (2021). Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. In ''DASFAA (2)'' (pp. 413-428). (Oral presentation)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021). Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. In ''DASFAA (2)'' (pp. 465-482). (Oral presentation)</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE.</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''Zhang, Y.''', Shen, J., Yu, C., & Wang, C. (2021, July). Label-Specific Alignment with Adversarial Multi-View Representation. In ''2021 IEEE International Conference on Multimedia and Expo (ICME)'' (pp. 1-6). IEEE. (Oral presentation)</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''Zhang, Y.''', Zhang, Z., Chen, M., Lu, H., & Wang, C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. Intelligent Data Analysis. Accepted</span></span>
	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Cheng, H., Zhang, L., '''Zhang, Y.''', Wu, J., & Wang, C. (2018, July). Optimal constraint collection for core-selecting path mechanism. In ''Proceedings of the 17th international conference on autonomous agents and multiagent systems'' (pp. 41-49).</span></span>
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	*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''  <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">& </span></span></span></span>Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECML-PKDD 2020, Accepted</span></span></span></span>''</span></span>		*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.,'''  <span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">& </span></span></span></span>Wang, C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks. ''<span style="line-height:normal"><span lang="EN-US"><span style="background:white"><span style="color:#222222">In Proceedings of ECML-PKDD 2020, Accepted</span></span></span></span>''</span></span>
	*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shen J., '''Zhang Y.''', Yu C., Wang C. Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In'' ''Proceedings of  BIBM 2020'', Accepted</span></span>		*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shen J., '''Zhang Y.''', Yu C., Wang C. Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In'' ''Proceedings of  BIBM 2020'', Accepted</span></span>
			*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span>

	<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>		<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:larger"><span style="color:#3498db">'''Rewards or Honors'''</span></span></span>