所属研究所、院系:
大数据与计算智能研究所

职称:
副教授

E-mail:
suqliang@mail.sysu.edu.cn

办公地点:
广州大学城外环东路132号中山大学超算中心503M




教师简介:
苏勤亮现为中山大学数据科学与计算机学院副教授、博士生导师，当前主要从事机器学习、深度学习、统计学习、贝叶斯分析、自然语言处理和人工智能等方面的基础研究和实际应用工作。他于2014年12月从香港大学取得博士学位，之后前往美国杜克大学电子与计算机工程系从事博士后研究工作，于2018年1月回国加入中山大学数据科学与计算机学院至今。近年来在国内外刊物／会议发表论文30多篇，包括中国科学院推荐的Top期刊和中国计算机学会CCF推荐的A类会议，如：IEEE TSP,?ICML, NIPS, AAAI, ACL等，曾获CCF A类学术会议国际计算语言学大会ACL 2018最佳论文提名。他长期担任机器学习和人工智能领域多个重要国际学术期刊和会议审稿人，如：JLMR, ICML, NIPS, AAAI, ICLR, UAI, AISTATS等。
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实验室在机器学习的基础理论/模型/算法和自然语言处理应用等方向都有较好的研究基础，目前有多个硕士和极少量博士招生名额，欢迎满足以下任一条件的优秀学子报考或来信咨询：
1）数学基础扎实、具备一定编程能力、对机器学习模型/算法背后的理论基础或其应用感兴趣；
2）对生成模型或表征学习感兴趣、具备较好理论基础和编程/实现能力；
3) ?对自然语言处理感兴趣、具备较好编程/实现能力；
4）对Graph结构数据挖掘或Graph辅助的机器学习方法感兴趣、具备较好编程/实现能力；
5）统计背景、具备一定编程能力和机器/统计学习基础。
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实验室长期招聘博士后、副研究员、研究员，欢迎对上述研究方向感兴趣、且有一定研究基础的已毕业或将要毕业博士来信咨询，待遇从优！

研究领域:
机器学习、深度学习，
统计学习、贝叶斯分析，
自然语言处理、人工智能

教育背景:
2010.9?— 2014.12 ? ? ? 香港大学 ? ? ? ? ? ? ? 博士
2007.9?— 2010.3 ? ? ? ? 浙江大学 ? ? ? ? ? ? ?硕士
2003.9?— 2007.6 ? ? ? ? 重庆大学 ? ? ? ? ? ? 本科

工作经历:
2018.1?— 至今 ? ? ? ? ? 中山大学 ? ? ? ? ? ? ?副教授
2015.3 — 2017.12 ? ? ? 美国杜克大学 ? ? ? 博士后
2015.1?— 2015.2 ? ? ? ? 香港大学 ? ? ? ? ? ? 高级研究助理

获奖及荣誉:
国际计算语言大会ACL 2018最佳长论文提名
广东省计算机学会优秀论文一等奖

主要学术兼职:
审稿人：JMLR, IEEE TIT, IEEE TKDE,?IEEE TSP, ICML, NIPS?AAAI, ACL, EMNLP,?ICLR, UAI, AISTATS

代表性论著:
(*?denotes equal contribution)
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Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng, Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval'', the 59th Annual Meeting of the Association for Computational Linguistics (ACL-21), Online, Aug. 2021. (CCF A类会议)
Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang and Nan Duan, Syntax-Enhanced Pre-trained Model, the 59th Annual Meeting of the Association for Computational Linguistics (ACL-21), Online, Aug. 2021. (CCF A类会议)
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen, Unsupervised Hashing with Contrastive Information Bottleneck, The 30th International Joint Conference on Artificial Intelligence (IJCAI-21), Montreal (Online), Aug. 2021. (CCF A类会议)
Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin, Multi-hop Reasoning Question Generation and Its Application, IEEE Transactions on Knowledge and Data Engineering, 2021. (CCF A类期刊， IF=4.94)
Jiaxing Chen, Qinliang Su, ``Exploring the Relations of Local Semantic Features with GNNs for Few-Shot Classification'', The annual International Joint Conference on Neural Networks (IJCNN-2021), Online, Jul. 2021. (CCF C类会议)
Yue Gao, Qinliang Su, Out-of-Distribution Detection with Uncertainty Enhanced Attention Maps, The annual International Joint Conference on Neural Networks (IJCNN-2021), Online, Jul. 2021. (CCF C类会议)
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan and Zhenkun Lin, Embedding Dynamic Attributed Networks By Modeling the Evolution Processes, The 28th International Conference on Computational Linguistics (COLING-2020), Dec. 2020. (CCF B 类会议)
Yunyi Yang, Kun Li, Xiaojun Quan, Weizhou Shen and Qinliang Su, Constituency Lattice Encoding for Aspect Term Extraction, The 28th International Conference on Computational Linguistics (COLING-2020), Dec. 2020. (CCF B 类会议)
Lin Zheng, Qinliang Su, Dinghan Shen and Changyou Chen, Generative Semantic Hashing Enhanced via Boltzmann Machines, The 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020), Seattle, Jul. 2020. (CCF A 类会议)
Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin, Low-Resource Generation of Multi-hop Reasoning Questions, The 58th Annual Meeting of the Association for Computational Linguistics (ACL-2020), Seattle, Jul. 2020. (CCF A 类会议)
Jianxing Yu, Xiaojun Quan, Qinliang Su and Jian Yin, Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension, The World Wide Web Conference (WWW-2020), Taipei, April 2020. (CCF A 类会议)
Bing Li, Qinliang Su, Yik-Chung Wu, Fixed Points of Gaussian Belief Propagation and Relation to Convergence, IEEE Trans. Signal Process. vol. 67, no. 23, pp.6025-6038, Dec. 2019. (中科院Top期刊)
Wei Dong, Qinliang Su, Dinghan Shen, Changyou Chen, Document Hashing with Mixture-Prior Generative Models, 2019 Conference on Emperical Methods in Natural Language Process, EMNLP 2019, Hong Kong, 2019.11.3-11.7. (CCF B类）
Zenan Xu, Qinliang Su, Xiaojuan Quan, Weijia Zhang, A Deep Neural Information Fusion Architecture for Textural Network Embeddings, 2019 Conference on Emperical Methods in Natural Language Process, EMNLP 2019, Hong Kong, 2019.11.3-11.7. (CCF B类）
Changyou Chen, Wenlin Wang, Yizhe Zhang, Qinliang Su, Lawrence Carin, A Convergence Analysis for A Class of Practical Variance-Reduction Stochastic Gradient MCMC," Science China: Information Science, vol. 62, Jan. 2019. （CCF B类期刊）
Dinghan Shen*, Qinliang Su*, Paidamoyo Chapfuwa, Wenlin Wang, GuoyinWang, Lawrence Carin, Ricardo Henao, NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing, 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, 2018.7.15-7.20. (CCF A类, Best Long Paper Award, Honorable Mention: 6/1018, 0.6%)
Dinghan Shen, Guoyin Wang, Wenlin Wang, Martin Renqiang Min, Qinliang Su, Yizhe Zhang, Chunyuan Li, Ricardo Henao, Lawrence Carin, Baseline Needs More Love: On SimpleWord-Embedding-Based Models and Associated Pooling Mechanisms, 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, 2018.7.15-7.20. (CCF A类)
Liqun Chen, Shuyang Dai, Yunchen Pu, Chunyuan Li, Qinliang Su, Erjin Zhou, Lawrence Carin, Symmetric Variational Auto-encoder and Connections to Adversarial Learning, 21th Inter. Conf. Artificial Intelligence and Statistics, AISTATS 2018, Canary Islands, Spain, 2018.4.9-4.11. (CCF C类)
Dinghan Shen, Yizhe Zhang, Ricardo Henao, Qinliang Su, Lawrence Carin, Deconvolutional Latent-Variable Model for Text Sequence Matching, 32th Proc. American Association of Artificial Intelligence, AAAI 2018, New Orleans, USA, 2018.2.2-2.7. (CCF A类)
Qinliang Su, Xuejun Liao, Lawrence Carin, A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks, 31th Annual Conference on Neural Information Processing Systems, NIPS 2017, Long Beach, USA, 2017.12.4-12.9. (CCF A类)
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin, Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling, 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, CA, 2017.7.30-8.4. (CCF A类)
Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin, Unsupervised Learning with Truncated Gaussian Graphical Models, 31th Proc. American Association of Artificial Intelligence, AAAI 2017, San Francisco, USA, 2017.2.4-2.9. (CCF A类)
Qinliang Su, Xuejun Liao, Changyou Chen, Lawrence Carin, Nonlinear Statistical Learning with Truncated Gaussian Graphical Model, 33th International Conference on Machine Learning, ICML 2016, New York, USA, 2016.6.24-6.26. (CCF A类)
Qinliang Su, Yik-Chung Wu, Distributed estimation of variance in Gaussian graphical model via belief propagation: accuracy analysis and improvement, IEEE Trans. Signal Process., 2015, 63(23): 6258-6271. (中科院Top期刊)
Qinliang Su, Yik-Chung Wu, On convergence of Gaussian belief propagation, IEEE Trans. Signal Process., 2015, 63(5): 1144-1155. (中科院Top期刊)
Qinliang Su, Yik-Chung Wu, Convergence analysis of the variance in Gaussian belief propagation, IEEE Trans. Signal Process., 2014, 62(19): 5119-5131. (中科院Top期刊)
Qinliang Su, Yik-chung Wu, Determine the Convergence of Variance in Gaussian Belief Propagation via Semi-definite Programming, International Symposium on Information Theory, ISIT 2014, Honolulu, USA, 2014.6.29-2014.7.4
Qinliang Su, Aiping Huang, Zhouyun Wu, Guanding Yu, Zhaoyang Zhang, A Distributed Dynamics Spectrum Access and Power Allocation Algorithm for Femtocell Networks, International Conference on Wireless Communication and Signal Processing, Nanjing, China, 2009.11.13-2009.11.15
Qinliang Su, Aiping Huang, Jing Li and Hsiao-Hwa Chen, Complexity reduction of signal detection by exploiting correlation characteristics of spreading sequences, Int. J. Communication Systems, 2009, 22(11): 1427-1443. (SCI期刊)