2023年第四季度，数据科学学院教授团队共有69篇论文被国际顶级会议和期刊录用。

69 papers have been accepted by top international conferences and journals in the 4th quarter of 2023.

论文列表
Papers Accepted by Top International Conferences and Top International Journals

10月 October

钟叶青
Weibin Chen and Yeh-Ching Chung, "An Offline Profile-Guided Optimization Strategy for Function Reordering on Relational Databases," Proceedings of IEEE International conference on Systems, Man, and Cybernetics (SMC), October 2023. (CCF C)

方一向
Yuren Mao, Yu Hao, Xin Cao, Yixiang Fang, Xuemin Lin, Hua Mao, Zhiqiang Xu. Dynamic Graph Embedding via Meta-Learning. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.

官永涛
Guanhua Fang, Ganggang Xu, Haochen Xu, Xuening Zhu & Yongtao Guan (2023) Group Network Hawkes Process, Journal of the American Statistical Association.
https://doi.org/10.1080/01621459.2023.2257889

贺品嘉
Junjielong Xu, Ruichun Yang, Yintong Huo, Chengyu Zhang, Pinjia He. DivLog: Log Parsing with Prompt Enhanced In-Context Learning. Proceedings of the 46th International Conference on Software Engineering (ICSE), 2024.

Jieming Zhu, Shilin He, Pinjia He, Jinyang Liu, Michael R. Lyu. Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics. Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023.

Arnulf JENTZEN
Jentzen, A., & Welti, A. (2023). Overall error analysis for the training of deep neural networks via stochastic gradient descent with random initialisation. Appl. Math. Comput., 455, Article 127907.
https://doi.org/10.1016/j.amc.2023.127907

Jentzen, A., Kuckuck, B., & von Wurstemberger, P. (2023). Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory. arXiv.
https://arxiv.org/abs/2310.20360

李海洲
Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Guiming Chen, Jianquan Li, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, Haizhou Li*, HuatuoGPT, Towards Taming Language Model to Be a Doctor. EMNLP 2023.
https://aclanthology.org/2023.findings-emnlp.725.pdf

Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li*, GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning. NLPCC 2023.
https://arxiv.org/pdf/2307.13923.pdf

Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li*, A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems. KaRS@RecSys 2023.
https://arxiv.org/pdf/2309.07682.pdf

Buddhi Wickramasinghe, Eliathamby Ambikairajah, Vidhyasaharan Sethu, Julien Epps, Haizhou Li*, Ting Dang, DNN controlled adaptive front-end for replay attack detection systems. Speech Commun, Vol. 154, Oct, 2023.
https://www.sciencedirect.com/science/article/pii/S0167639323001073

Xueyi Zhang, Chengwei Zhang, Tao Wang, Jun Tang, Songyang Lao, Haizhou Li*, Slow-Fast Time Parameter Aggregation Network for Class-Incremental Lip Reading. ACM Multimedia 2023.
https://dl.acm.org/doi/pdf/10.1145/3581783.3612460

Yan Zhang, Zhaopeng Feng, Zhiyang Teng, Zuozhu Liu, Haizhou Li*, How Well Do Text Embedding Models Understand Syntax? EMNLP 2023.
https://aclanthology.org/2023.findings-emnlp.650.pdf

李爽
Chengzhi Cao, Chao Yang, Ruimao Zhang, Shuang Li. Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions, NeurIPS 2023.

李文烨
Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li. Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. ECAI 2023: 2914-2921.
https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230605

吴保元
Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, and Baoyuan Wu. DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection, NeurIPS 2023 Datasets and Benchmarks Track.
https://arxiv.org/abs/2307.01426

Shaokui Wei, Mingda Zhang, Hongyuan Zha, and Baoyuan Wu. Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples, NeurIPS 2023.
https://arxiv.org/pdf/2307.10562.pdf

Mingli Zhu, Shaokui Wei, Hongyuan Zha, and Baoyuan Wu. Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features, NeurIPS 2023.
https://arxiv.org/pdf/2306.16697.pdf

武执政
Jiaqi Li, Li Wang, Liumeng Xue, Lei Wang, Zhizheng Wu. An Initial Investigation of Neural Replay Simulator for Over-the-Air Adversarial Perturbations to Automatic Speaker Verification, Proceedings of the 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024).
https://arxiv.org/abs/2310.05354

Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu. AdvSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024).
https://arxiv.org/abs/2310.05369

Xueyao Zhang, Yicheng Gu, Haopeng Chen, Zihao Fang, Lexiao Zou, Liumeng Xue, Zhizheng Wu. Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion, Machine Learning for Audio Workshop, NeuIPS 2023.
https://arxiv.org/abs/2310.11160

Mingyang Zhang, Yi Zhou, Zhizheng Wu, Haizhou Li. Zero-shot multi-speaker accent TTS with limited accent data, 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
https://ieeexplore.ieee.org/abstract/document/10317526

于天舒
Haoyu Zhang, Yu Wang, Guanghao Yin, Kejun Liu, Yuanyuan Liu, Tianshu Yu, Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis, EMNLP 2023.

于天维
Zhuxuan Jin, Jian Kang and Tianwei Yu (2023). Bayesian nonparametric method for genetic dissection of brain activation region. Frontiers in neuroscience, 17, 1235321.
https://doi.org/10.3389/fnins.2023.1235321

11月 November

方一向
Yuanyuan Zeng, Yixiang Fang*, Chenhao Ma, Xu Zhou, Kenli Li. Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs. ACM International Conference on Management of Data (SIGMOD), 2024.

Masahito HAYASHI
Zihao Li, Huangjun Zhu and Masahito Hayashi, “Robust and efficient verification of graph states in blind measurement-based quantum computation”, npj Quantum Information. 
https://www.nature.com/articles/s41534-023-00783-9

Arnulf JENTZEN
Beck, C., Becker, S., Cheridito, P., Jentzen, A., & Neufeld, A. (2023). An efficient Monte Carlo scheme for Zakai equations. Commun. Nonlinear Sci. Numer. Simul., 126, Article 107438. 
https://doi.org/10.1016/j.cnsns.2023.107438

李海洲
Mingyang Zhang, Yi Zhou, Zhizheng Wu, Haizhou Li*, Zero-shot multi-speaker accent TTS with limited accent data. APSIPA ASC 2023.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10317526

刘瑾
Jian Huang, Yuling Jiao, Xu Liao, Jin Liu*, Zhou Yu; Deep Dimension Reduction for Supervised Representation Learning. IEEE Transactions in Information Theory.

李文烨
Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li. From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. ICONIP (11) 2023: 101-112. 
https://link.springer.com/chapter/10.1007/978-981-99-8145-8_9

吴保元
Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, and Shu-Tao Xia. Imperceptible and Robust Backdoor Attack in 3D Point Cloud, IEEE Transactions on Information Forensics and Security (TIFS) 2024.
https://doi.org/10.1109/TIFS.2023.3333687

吴均峰
Shuaiting Huang, Chengcheng Zhao, Lingying Huang, Peng Cheng, Junfeng Wu, Lin Cai. Plug-and-Play Distributed Estimation of Driving States in an Open Vehicle Platoon, IEEE Transactions on Industrial Informatics.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10334624

Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu. Consistent and Asymptotically Efficient Localization From RangeDifference Measurements, IEEE Transactions in Information Theory.
https://arxiv.org/pdf/2302.03311.pdf

武执政
Yicheng Gu, Xueyao Zhang, Liumeng Xue, Zhizheng Wu. Multi-Scale Sub-Band Constant-Q Transform Discriminator for High-Fidelity Vocoder, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024).
https://arxiv.org/abs/2311.14957

12月 December

樊继聪
Dazhi Fu, Zhao Zhang, Jicong Fan. Dense Projection for Anomaly Detection. AAAI 2024.

方一向
Yankai Chen, Yixiang Fang*, Qiongyan Wang, Xin Cao, Irwin King. Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI Conference on Artificial Intelligence (AAAI), 2024.

Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King. Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI Conference on Artificial Intelligence (AAAI), 2024.

Yicheng Leng, Chaowei Fang, Gen Li, Yixiang Fang, Guanbin Li. Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal. AAAI Conference on Artificial Intelligence (AAAI), 2024.

Guillermo GALLEGO
Guillermo Gallego and Berbeglia Gerardo,“Bounds and Heuristics for Multiproduct Pricing”，Management Science.
https://pubsonline.informs.org/doi/10.1287/mnsc.2021.04173

韩俊
Jun Han and Chaoli Wang, CoordNet: Data Generation and Visualization Generation for Time-Varying Volumes via a Coordinate-Based Neural Network, IEEE Transactions on Visualization and Computer Graphics, 29(12), pp 4951-4963, Dec, 2023.
https://ieeexplore.ieee.org/abstract/document/9852325.

Jun Han, Hao Zheng, and Chongke Bi, KD-INR: Time-Varying Volumetric Data Compression via Knowledge Distillation-based Implicit Neural Representation. IEEE Transactions on Visualization and Computer Graphics.

贺品嘉
Qiuyang Mang, Aoyang Fang, BoXi Yu, Hanfei Chen, Pinjia He. Testing Graph Database Systems via Equivalent Query Rewriting. Proceedings of the 46th International Conference on Software Engineering (ICSE), 2024.

Dinghua Wang, Shuqing Li, Guanping Xiao, Yepang Liu, Yulei Sui, Pinjia He, Michael R. Lyu. An Exploratory Investigation of Log Anomalies in Unmanned Aerial Vehicles. Proceedings of the 46th International Conference on Software Engineering (ICSE), 2024.

Arnulf JENTZEN
Boussange, V., Becker, S., Jentzen, A., Kuckuck, B., & Pellissier, L. (2023). Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions. Partial Differ. Equ. Appl., 4, Article 51.
https://doi.org/10.1007/s42985-023-00244-0

李海洲
Kun Zhou, Berrak Sisman, Rajib Rana, Björn W. Schuller, Haizhou Li*, Speech Synthesis With Mixed Emotions. IEEE Trans. Affect. Comput, Vol.14, Dec, 2023
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10003644

Chen Zhang, Luis F. D'Haro, Chengguang Tang, Ke Shi, Guohua Tang, Haizhou Li*, xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark. EMNLP 2023. 
https://aclanthology.org/2023.findings-emnlp.371.pdf

刘瑾
Xingjie Shi, Yi Yang2, Xiaohui Ma, Yong Zhou, Zhenxing Guo, Chaolong Wang and Jin Liu*; Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno. Nucleic Acids Research.

李文烨
Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li. Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. Thirty-seventh Conference on Neural Information Processing Systems. 2023.
https://neurips.cc/media/neurips-2023/Slides/70019.pdf

Andre MILZAREK
Andre Milzarek, Fabian Schaipp, Michael Ulbrich. A Semismooth Newton Stochastic Proximal Point Method with Variance Reduction. SIAM Journal on Optimization, 2023.

马晨昊
Mohammad Matin Najafi, Chenhao Ma, Xiaodong Li, Reynold Cheng, Laks V.S. Lakshmanan, MOSER: Scalable Network Motif Discovery using Serial Test, Proceedings of the VLDB Endowment, 17 (3).
https://vldb.org/pvldb/volumes/17/paper/MOSER%3A%20Scalable%20Network%20Motif%20Discovery%20using%20Serial%20Test

Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King, Influential Exemplar Replay for Incremental Learning in Recommender Systems, AAAI Conference on Artificial Intelligence (AAAI), 2024.

Yuanyuan Zeng, Yixiang Fang, Chenhao Ma*, Xu Zhou, Kenli Li, Efficient Distributed Hop-Constrained Path Enumeration on Large-Scale Graphs, Proceedings of the 2023 ACM SIGMOD International Conference on Management of Data (SIGMOD), 2024.

濮实
Zhuoqing Song, Lei Shi, Shi Pu and Ming Yan, Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs, SIAM Journal on Optimization.

王本友
Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán-Casas, Rossella Arcucci. Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023.
https://arxiv.org/abs/2305.19894

Yazhou Zhang, Yang Yu, Qing Guo, Benyou Wang, Dongming Zhao, Sagar Uprety, Dawei Song, Jing Qin, Qiuchi Li. All In One: A Chinese Multi-Modal Dataset for Multi-Affection Detection in Conversations. NeurIPS 2023. (Track Datasets and Benchmarks)

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang. Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Transactions on Information Systems.

吴保元
Longkang Li, Siyuan Liang, Zihao Zhu, Chris Ding, Hongyuan Zha, and Baoyuan Wu. Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning, AAAI 2024.
https://arxiv.org/pdf/2210.17178.pdf

吴均峰
Guangyang Zeng, Biqiang Mu, Ling Shi, Jiming Chen, Junfeng Wu. Consistent and Asymptotically Efficient Localization From RangeDifference Measurements, IEEE Transactions in Information Theory.
https://arxiv.org/pdf/2302.03311.pdf

Lingying Huang, Junfeng Wu, Dawei Shi, Subhrakanti Dey, Ling Shi.Differential Privacy in Distributed Optimization with Gradient Tracking, IEEE Transactions on Automatic Control.
https://arxiv.org/pdf/2212.05364.pdf

王趵翔
Jiawei Xu, Cheng Zhou, Yizheng Zh, Baoxiang Wang, Lei Han.Relative Policy-Transition Optimization for Fast Policy Transfer,AAAI Conference on Artificial Intelligence (AAAI) 2024.
https://arxiv.org/pdf/2206.06009.pdf

Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang. Information Design in Multi-Agent Reinforcement Learning，Advances in Neural Information Processing Systems (NeurIPS) 2023.
https://arxiv.org/pdf/2305.06807.pdf

Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Xuezhou Zhang, Shuai Li.Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback，Advances in Neural Information Processing Systems (NeurIPS) 2023.
https://openreview.net/pdf?id=ZPtzwr2SwJ

Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Long Chen, Fei Wu, Jun Xiao.Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning，Advances in Neural Information Processing Systems (NeurIPS) 2023.
https://openreview.net/pdf?id=AYLlZMmUbo

孙启霖
Zheng Dong, Ke Xu, Yaoan Gao, Qilin Sun, Hujun Bao, Weiwei Xu, Rynson WH Lau， SAILOR: Synergizing Radiance and Occupancy Fields for Live Human Performance Capture，ACM Transactions on Graphics (TOG) 2023
https://dl.acm.org/doi/10.1145/3618370

谢李岩
Yiran Yang and Liyan Xie，“Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection.”, Accepted to ICASSP 2024.

杨浩翔
Hanbin Yang, Noah Rhodes, Haoxiang Yang, Line Roald, Lewis Ntaimo. "Multi-period Power System Risk Minimization under Wildfire Disruptions". IEEE Transactions on Power Systems.
http://arxiv.org/abs/2305.02933

姚建峰
Weiming Li, Qinwen Wang and Jianfeng Yao(2023).Distance correlation test for high-dimensional independence,Bernoulli.

张大鹏
Nannan Zhang, Zhixing Jiang, Mu Li, and David Zhang. A novel multi-feature learning model for disease diagnosis using face skin images, Computers in Biology and Medicine 2023.
https://doi.org/10.1016/j.compbiomed.2023.107837.

张经纬
David B. Brown and Jingwei Zhang, “Fluid Policies, Reoptimization, and Performance Guarantees in Dynamic Resource Allocation”, Operations Research.
https://pubsonline.informs.org/doi/abs/10.1287/opre.2022.0601