Lingyang Chu

Ph.D.

I am an assistant professor at McMaster University. Before joining McMaster University, I was a Principal Researcher at Huawei Technologies Canada, Co., Ltd. During 2015~2018, I successfully led 7+ research projects as a Postdoctoral Fellow supervised by Prof. Jian Pei at Simon Fraser University. I obtained my Ph.D. degree in Computer Science from University of Chinese Academy of Sciences in June 2015.

Research Interest

My research interest is in the areas of data mining, machine learning and statistics. I am especially interested in designing novel algorithms to interpret deep neural networks and to defense against adversarial attacks. I am also an expert in designing large scale dense subgraph detection algorithms with solid theoretical guarantees.
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Recruiting

I am recruiting highly motivated students to conduct cutting-edge research on interpreting deep models, defending against adversarial attacks and building next-generation reliable computing frameworks.
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My Courses

•   Introduction to Data Mining (COMPSCI 3DM3)

Selected Publications

Research is a life-long journey, with problems to solve, knowledges to gain, but most of all, experiences to enjoy.
•   Yutao Huang*, Lingyang Chu*, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei and Yong Zhang. "Personalized Cross-Silo Federated Learning on Non-IID Data". (To appear in AAAI'21, * means equal contribution) [PDF, API on Huawei Cloud (Free registration is required before use)]
•   Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V.S. Lakshmanan and Lanjun Wang. "Stealthy Targeted Data Poisoning Attack on Knowledge Graphs". (To appear in ICDE'21)
•   Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang and Jian Pei. "Online density bursting subgraph detection from temporal graphs". Proceedings of the VLDB Endowment (VLDB'20), 2020. [PDF]
•   Mingtao Lei, Xi Zhang, Lingyang Chu, Zhefeng Wang, Philip S. Yu and Binxing Fang. "Finding Route Hotspots in Large Labeled Networks". IEEE Transactions on Knowledge and Data Engineering (TKDE'20)
•   Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu and Jian Pei. "Exact and consistent interpretation of piecewise linear models hidden behind APIs: A closed form solution". IEEE International Conference on Data Engineering (ICDE'20). [PDF]
•   Lingyang Chu, Zhefeng Wang, Jian Pei, Yanyan Zhang, Yu Yang and Enhong Chen. "Finding theme communities from database networks". Proceedings of the VLDB Endowment (VLDB'19), 12(10): 1071-1084, 2019. [PDF]
•   Zijin Zhao*, Lingyang Chu*, Dacheng Tao and Jian Pei. "Classification with label noise: A Markov Chain sampling framework". Data Mining and Knowledge Discovery (DMKD'19), 33(5): 1468-1504, 2019. (* means equal contribution) [PDF]
•   Mingtao Lei, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang and Binxing Fang. "Mining top-k sequential patterns in transaction database graphs". World Wide Web (WWW'19), 1-28, 2019. [PDF]
•   Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang and Jian Pei. "Exact and consistent interpretation for piecewise linear neural networks: A closed form solution". ACM SIGKDD Conferences on Knowledge Discovery and Data Mining (KDD'18), 1244-1253, 2018. [PDF]
•   Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei and Enhong Chen. "Mining density contrast subgraphs". IEEE International Conference on Data Engineering (ICDE'18), 221-232, 2018. [PDF]
•   Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu and Enhong Chen. "Activity maximization by effective information diffusion in social networks". IEEE Transactions on Knowledge and Data Engineering (TKDE'17), 29(11): 2374-2387, 2017. [PDF]
•   Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao and Enhong Chen. "Finding gangs in war from signed networks". ACM SIGKDD Conferences on Knowledge Discovery and Data Mining (KDD'16), 1505-1514, 2016. [PDF, CODE]
•   Lingyang Chu, Shuhui Wang, Siyuan Liu, Qingming Huang and Jian Pei. "ALID: Scalable dominant cluster detection". Proceedings of the VLDB Endowment (VLDB'15), 8(8): 826-837, 2015. [PDF, CODE]
•   Lingyang Chu, Yanyan Zhang, Guorong Li, Shuhui Wang, Weigang Zhang and Qingming Huang. "Effective multi-modality fusion framework for cross-media topic detection". IEEE Transactions on Circuits and Systems for Video Technology (TCSVT'14), 26(3): 556-569, 2014. [PDF]
•   Lingyang Chu, Shuhui Wang, Yanyan Zhang, Shuqiang Jiang and Qingming Huang. "Graph density based visual word vocabulary for image retrieval". International Conference on Multimedia & Expo (ICME'14), 1-6, 2014. [PDF]
•   Lingyang Chu, Shuqiang Jiang, Shuhui Wang, Yanyan Zhang and Qingming Huang. "Robust spatial consistency graph model for partial duplicate image retrieval". IEEE Transactions on Multimedia (TMM'13), 15(8): 1982-1996, 2013. [PDF]
•   Yanyan Zhang, Guorong Li, Lingyang Chu, Shuhui Wang, Weigang Zhang and Qingming Huang. "Cross media topic detection: a multi-modality fusion framework". International Conference on Multimedia & Expo (ICME'13), 1-6, 2013. ( Best paper candidate) [PDF]
•   Shuang Wang, Yunfeng Xue, Lingyang Chu, Yuhao Jiang and Shuqiang Jiang. "ObjectSense: a scalable multi-objects recognition system based on partial duplicate image retrieval". International Conference on Multimedia Retrieval (ICMR'13), 317-318, 2013. (Best demo award) [PDF]
•   Lingyang Chu, Shuqiang Jiang and Qingming Huang. "Fast common visual pattern detection via radiate geometric model". International Conference on Image Processing (ICIP'11), 2465-2468, 2011. [PDF]
•   Tianlong Chen, Shuqiang Jiang, Lingyang Chu and Qingming Huang. "Detection and location of near-duplicate video sub-clips by finding dense subgraphs". ACM Multimedia (MM'11), 1173-1176, 2011. [PDF]

Students & Interns

"The dream begins, most of the time, with a teacher who believes in you, who tugs and pushes and leads you on to the next plateau, sometimes poking you with a sharp stick called truth."
— Dan Rather
•   Zicun Cong (Ph.D. Candidate at Simon Fraser University)
•   Zhefeng Wang (Ph.D. | Now at Huawei, China)
•   Mingtao Lei (Ph.D. | Now at Huawei, China)
•   Zijin Zhao (M.Sc. | Now at Amazon, Canada)
•   Yanyan Zhang (M.Sc. | Now at Fortinet, Canada)
•   Prithu Banerjee (Ph.D. Candidate at the University of British Columbia)
•   Yutao Huang (Ph.D. Candidate at Simon Fraser University)
•   Yongwei Wang (Ph.D. Candidate at the University of British Columbia)
•   Yizhou Chen (Undergraduate student at Simon Fraser University)
•   Ziyu Xue (Undergraduate student at University of British Columbia)

Academic Services

"The best way to find yourself is to lose yourself in the service of others."
— Mahatma Gandhi
•   The ACM SIGMOD/PODS Conference (SIGMOD 2022)
•   The SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018, 2019, 2020, 2021)
•   The Web Conference (previously known as WWW). (TheWebConf 2020)
•   The ACM International Conference on Multimedia. (ACM Multimedia 2019, 2020)
•   The International ACM SIGIR Conference on Research and Development in Information Retrieval. (SIGIR 2020)
•   The AAAI Conference on Artificial Intelligence. (AAAI 2021)
•   SIAM International Conference on Data Mining (SDM 2021)
•   The ACM International Conference on Information and Knowledge Management. (CIKM 2019)
•   The ACM International Conference on Web Search and Data Mining (WSDM 2018, 2019, 2020, 2021)
•   The International Conference on Database Systems for Advanced Applications. (DASFAA 2018, 2019, 2021)
•   The Pacific-Asia Conference on Knowledge Discovery and Data Mining. (PAKDD 2020)
•   IEEE International Conference on Multimedia and Expo 2019 (ICME 2019)
•   IEEE Transactions on Knowledge and Data Engineering (TKDE)
•   IEEE Transactions on Multimedia (TMM)
•   ACM Transactions on Knowledge Discovery from Data (TKDD)
•   Data Mining and Knowledge Discovery (DMKD)
•   Knowledge and Information Systems (KAIS)
•   VLDB 2016, WWW 2016, ICDE 2016, SIGIR 2017, KDD 2017, WSDM 2017, etc.
Modified on September 8th, 2020.