Simple and Deep Graph Convolutional Networks
- Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li
- Computer ScienceInternational Conference on Machine Learning
- 4 July 2020
The GCNII is proposed, an extension of the vanilla GCN model with two simple yet effective techniques: {\em Initial residual} and {\em Identity mapping} that effectively relieves the problem of over-smoothing.
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
- Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han
- Computer ScienceSIGMOD Conference
- 18 June 2014
This paper proposes to resolve conflicts among multiple sources of heterogeneous data types by using an optimization framework where truths and source reliability are defined as two sets of unknown variables and the objective is to minimize the overall weighted deviation between the truths and the multi-source observations.
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data
- Qi Li, Yaliang Li, Jiawei Han
- Computer ScienceProceedings of the VLDB Endowment
- 1 December 2014
A confidence-aware truth discovery (CATD) method to automatically detect truths from conflicting data with long-tail phenomenon is proposed, which outperforms existing state-of-the-art truth discovery approaches by successful discounting the effect of small sources.
Representation Learning for Treatment Effect Estimation from Observational Data
- Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang
- Computer ScienceNeural Information Processing Systems
- 2018
A local similarity preserved individual treatment effect (SITE) estimation method based on deep representation learning that preserves local similarity and balances data distributions simultaneously, by focusing on several hard samples in each mini-batch.
Joint Slot Filling and Intent Detection via Capsule Neural Networks
- Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
- Computer ScienceAnnual Meeting of the Association for…
- 22 December 2018
A capsule-based neural network model is proposed which accomplishes slot filling and intent detection via a dynamic routing-by-agreement schema and a re-routing schema is proposed to further synergize the slot filling performance using the inferred intent representation.
A Survey on Truth Discovery
- Yaliang Li, Jing Gao, Jiawei Han
- Computer ScienceSKDD
- 11 May 2015
This survey focuses on providing a comprehensive overview of truth discovery methods, and summarizing them from different aspects, and offers some guidelines on how to apply these approaches in application domains.
Scalable Graph Neural Networks via Bidirectional Propagation
- Ming Chen, Zhewei Wei, Ji-rong Wen
- Computer ScienceNeural Information Processing Systems
- 29 October 2020
GBP is the first method that achieves sub-linear time complexity for both the precomputation and the training phases and can deliver superior performance on a graph with over 60 million nodes and 1.8 billion edges in less than half an hour on a single machine.
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems
- Chenglin Miao, Wenjun Jiang, K. Ren
- Computer ScienceACM International Conference on Embedded…
- 1 November 2015
This paper proposes a novel cloud-enabled privacy-preserving truth discovery (PPTD) framework for crowd sensing systems, which can achieve the protection of not only users' sensory data but also their reliability scores derived by the truth discovery approaches.
A Survey on Causal Inference
- Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang
- Computer ScienceACM Transactions on Knowledge Discovery from Data
- 5 February 2020
This survey provides a comprehensive review of causal inference methods under the potential outcome framework, one of the well-known causal inference frameworks, and presents the plausible applications of these methods, including the applications in advertising, recommendation, medicine, and so on.
Crowdsourcing for Multiple-Choice Question Answering
- B. Aydin, Y. Yilmaz, Yaliang Li, Qi Li, Jing Gao, M. Demirbas
- Computer ScienceAAAI Conference on Artificial Intelligence
- 27 July 2014
A crowdsourced system for playing the “Who wants to be a millionaire?” quiz show is developed and deployed, and novel weighted aggregation schemes for aggregating the answers obtained from the crowd are investigated.
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