学院动态 School News | 学术著作 Scientific Publications Q4 2022
2022年第四季度，数据科学学院教授团队共有43篇论文被国际顶级会议和期刊上录用。
43 papers have been accepted by top international conferences and journals in the 4th quarter of 2022.
数据科学学院教授团队被国际顶级期刊录用的论文
Papers accepted by top international journals
10月 October
钟叶青
YuAng Chen and Yeh-Ching Chung. An Unequal Caching Strategy for Shared-Memory Graph Analytics, IEEE Transaction on Parallel and Distributed Systems, Oct. 2022. (SCI, EI, CCF A)
Yonggang Li, Guoyuan Lin, Yeh-Ching Chung, Yaowen Ma, Yi Lu, and Yu Bao. MagBox: Keep the Risk Functions Running Safely in a Magic Box, Future Generation Computer Systems, Oct. 2022. (SCI, EI, CCF C)
Guillermo Gallego
Guillermo Gallego, Haengju Lee. Callable Products for an Implicit Time Model with Dependent Demands. Naval Research Logistics. 19, October. 2022.
https://onlinelibrary.wiley.com/doi/full/10.1002/nav.22085
Arnulf Jentzen
Christian Beck, Sebastian Becker, Patrick Cheridito, Arnulf Jentzen, and Ariel Neufeld. An efficient Monte Carlo scheme for Zakai equations, arXiv:2210.13530, 41 pp., 2022. Preprint.
https://arxiv.org/abs/2210.13530
李海洲
Hongning Zhu, Kong Aik Lee, Haizhou Li. Discriminative speaker embedding with serialized multi-layer multi-head attention, Speech Communication, Vol. 144, Oct. 2022.
https://www.sciencedirect.com/science/article/pii/S0167639322001236?via%3Dihub
Xianghu Yue, Jingru Lin, Fabian Ritter Gutierrez, Haizhou Li. Self-Supervised Learning with Segmental Masking for Speech Representation, IEEE J. Sel. Top. Signal Process, Vol.16, Oct. 2022.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9832492
Zexu Pan, Meng Ge, Haizhou Li. USEV: Universal Speaker Extraction with Visual Cue. IEEE ACM Trans. Audio Speech Lang, Vol. 30, 2022.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9887809
吴均峰
Xinghan Li, Haodong Jiang, Xingyu Chen, He Kong, and Junfeng Wu. Closed-form Error Propagation on SEn (3) Group for Invariant EKF with Applications to VINS, IEEE Robotics and Automation Letters.
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9844243
11月 November
钟叶青、黄铠
Le-Le Li, Jiang-Yi Liu, Jian-Ping Fan, Xue-Hai Qia, Kai Hwang, Yeh-Ching Chung, and Zhi-Bin Yu. SOCA-DOM: A Mobile SoC Array System for Analyzing Big Data on the Move, Journal of Computer Science and Technology, 37(6), Nov. 2022, pp.1271-1289. (SCI, EI, CCF B)
https://jcst.ict.ac.cn/EN/10.1007/s11390-022-1087-z
Guillermo Gallego
Ningyuan Chen and Guillermo Gallego. A Primal-Dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint. Mathematics of Operations Research. Vol. 47, No. 4, November 2022, pp. 2585–2613.
https://doi.org/10.1287/moor.2021.1220
Arnulf Jentzen
Davide Gallon, Arnulf Jentzen, Felix Lindner. Blow up phenomena for gradient descent optimization methods in the training of artificial neural networks, arXiv:2211.15641, 84 pp., 2022. Preprint.
https://arxiv.org/abs/2211.15641
李海洲
Jibin Wu, Chenglin Xu, Xiao Han, Daquan Zhou, Malu Zhang, Haizhou Li, Kay Chen Tan. Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks, IEEE Trans. Pattern Anal. Mach. Intell, Vol. 44, Nov. 2022.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9543525
12月 December
Arnulf Jentzen
Christian Beck, Martin Hutzenthaler, Arnulf Jentzen, and Benno Kuckuck. An overview on deep learning-based approximation methods for partial differential equations, Discrete Contin. Dyn. Syst. Ser. B, 50 pp., 2022. Early access version available online.
https://doi.org/10.3934/dcdsb.2022238
Shokhrukh Ibragimov, Arnulf Jentzen, and Adrian Riekert. Convergence to good non-optimal critical points in the training of neural networks: Gradient descent optimization with one random initialization overcomes all bad non-global local minima with high probability, arXiv:2212.13111, 98 pp., 2022. Preprint.
https://arxiv.org/abs/2212.13111
濮实
Yijie Zhou and Shi Pu. Private and Accurate Decentralized Optimization via Encrypted and Structured Functional Perturbation, IEEE Control Systems Letters.
https://ieeexplore.ieee.org/abstract/document/9999278
姚建峰
Johannes Heiny and Jianfeng Yao. Limiting distributions for eigenvalues of sample correlation matrices from heavy-tailed populations, The Annals of Statistics, 50(6):3249-3280.
https://www.researchgate.net/publication/364148684_LIMITING_DISTRIBUTIONS_FOR_EIGENVALUES_OF_SAMPLE_CORRELATION_MATRICES_FROM_HEAVY-TAILED_POPULATIONS
Xuran Meng and Jianfeng Yao. Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping, Journal of Machine Learning Research, 2023.
https://www.researchgate.net/publication/366398338_Impact_of_classification_difficulty_on_the_weight_matrices_spectra_in_Deep_Learning_and_application_to_early-stopping
张瑞茂
Ziyi Tang, Ruimao Zhang, Zhanglin Peng, Jinrui Chen, Liang Lin. Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification, IEEE Transaction on Multimedia (T-MM), 2022.
https://ieeexplore.ieee.org/document/9996153/
数据科学学院教授团队被国际顶级会议录用的论文
Papers accepted by top international conferences
10月 October钟叶青
Weibin Chen and Yeh-Ching Chung. Profile-Guided Optimization for Function Reordering: A Reinforcement Learning Approach, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 2022, pp. 2326-2333. (CCF C)
https://ieeexplore.ieee.org/document/9945280
李海洲
Jianhua Tao, Jiangyan Yi, Cunhang Fan, Ruibo Fu, Shan Liang, Pengyuan Zhang, Haizhou Li, Helen Meng, Dong Yu, Masato Akagi. DDAM '22: 1st International Workshop on Deepfake Detection for Audio Multimedia, ACM Multimedia 2022.
https://dl.acm.org/doi/pdf/10.1145/3503161.3554779
Marvin Borsdorf, Kevin Scheck, Haizhou Li, Tanja Schultz. Blind Language Separation: Disentangling Multilingual Cocktail Party Voices by Language. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/borsdorf22_interspeech.pdf
Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li. LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/wang22t_interspeech.pdf
Zexu Pan, Meng Ge, Haizhou Li. A Hybrid Continuity Loss to Reduce Over-suppression for Time-domain Target Speaker Extraction. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/pan22b_interspeech.pdf
Zongyang Du, Berrak Sisman, Kun Zhou, Haizhou Li. Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/du22c_interspeech.pdf
Junyi Ao, Ziqiang Zhang, Long Zhou, Shujie Liu, Haizhou Li, Tom Ko, Lirong Dai, Jinyu Li, Yao Qian, Furu Wei. Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/ao22_interspeech.pdf
Qu Yang, Qi Liu, Haizhou Li. Deep residual spiking neural network for keyword spotting in low-resource settings. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/yang22_interspeech.pdf
Zeyang Song, Qi Liu, Qu Yang, Haizhou Li. Knowledge distillation for In-memory keyword spotting model. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/song22c_interspeech.pdf
Rui Liu, Berrak Sisman, Björn W. Schuller, Guanglai Gao, Haizhou Li. Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning. INTERSPEECH 2022.
https://www.isca-speech.org/archive/pdfs/interspeech_2022/liu22i_interspeech.pdf
李文烨
Wenye Li, and Fangchen Yu. Calibrating Distance Metrics Under Uncertainty, In the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECML-PKDD'2022).
https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_673.pdf
Zichen Ma, Yu Lu, Wenye Li, and Shugung Cui. Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning, In the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2022 (ECML-PKDD'2022).
https://2022.ecmlpkdd.org/wp-content/uploads/2022/09/sub_810.pdf
11月 November
钟叶青
Yonggang Li, Yu Bao, Guoyuan Lin, Yaowen Ma, and Yeh-Ching Chung. You Can Read My Code, But You Can't Execute It, IEEE Proceedings of Design, Automation and Test in Europe Conference (DATE), Nov. 2022. (CCF B)
李文烨
Wenye Li, and Fangchen Yu. Metric Nearness Made Practical. To appear in the 37th AAAI Conference on Artificial Intelligence (AAAI'2023).
Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, and Shuguang Cui. CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. In The Asian Chapter of the Association for Computational Linguistics (AACL'2022).
https://aclanthology.org/2022.aacl-short.37/
刘桂良
Guiliang Liu, Yudong Luo, Oliver Schulte, Pascal Poupart. Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game. Advances in Neural Information Processing Systems (Neurips) 2022.
https://openreview.net/forum?id=QoHSzxp7tSN
马晨昊
Jinyang Li, Binyuan Hui, Reynold Cheng, Bowen Qin, Chenhao Ma, Nan Huo, Fei Huang, Wenyu Du, Luo Si, Yongbin Li. Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing, AAAI Conference on Artificial Intelligence (AAAI), 2023.
王本友
Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang. Effective open intent classification with k-center contrastive learning and adjustable decision boundary, In AAAI 2023.
12月 December
钟叶青
YongGang Li, Yeh-Ching Chung, Jinbiao Xin, Yu Bao, Yi Lu, and GuoYuan Lin. MProbe: Make the Code Probing Meaningless, Proceedings of ACM Annual Computer Security Applications Conference (ACSAC), December 2022, pp. 214-226. (CCF B)
https://dl.acm.org/doi/abs/10.1145/3564625.3567967
贺品嘉
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, and Michael Lyu. MTTM: Metamorphic Testing for Textual Content Moderation Software, Proceedings of the 45th International Conference on Software Engineering (ICSE), 2023.
Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, and Michael Lyu. Incident-aware Duplicate Ticket Aggregation for Cloud Systems, Proceedings of the 45th International Conference on Software Engineering (ICSE), 2023.
李文烨
Zichen Ma, Yu Lu, Wenye Li, and Shuguang Cui. Asynchronous Personalized Federated Learning with Irregular Clients, In The 14th Asia Conference on Machine Learning (ACML'2022). In Press.
https://www.acml-conf.org/2022/accepted_papers.html
王本友
Sunzhu Li, Peng Zhang, Guobing Gan, Xiuqing Lv, Benyou Wang, Junqiu Wei, Xin Jiang. Hypoformer: Hybrid decomposition transformer for edge-friendly neural machine translation, In EMNLP 2022.
https://preview.aclanthology.org/emnlp-22-ingestion/2022.emnlp-main.475/
王子卓
Tong Xie and Zizhuo Wang. Personalized Assortment Optimization under Consumer Choice Models with Localized Network Effects, In WINE'22: Proceedings of the 18th Conference on Web and Internet Economics, 2022.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3788880
Bo Jiang, Zizhuo Wang and Nanxi Zhang. Revenue Management under a Price Alert Mechanism, In WINE'22: Proceedings of the 18th Conference on Web and Internet Economics, 2022.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4154861
