Liang
this too, shall pass
Educations
- Ph.D. Information Engineering, The Chinese University of Hong Kong, 2013 (Advisor: Professor Dah Ming Chiu)
- M.Phil. Information Engineering, The Chinese University of Hong Kong, 2009
- B.Sc. System Science and Engineering, Zhejiang University & B.Sc. Electronic Information Engineering (second major), Zhejiang University
Working Experience
Industry
- Senior Expert at Tencent Inc., Shenzhen, 2017-present
- Chief Consultant at Xunlei AI lab, Shenzhen, 2017
- Chief Scientist at Fengshen Co., Guangzhou, 2016-2017
- Research Consultant at Tencent Inc., Shenzhen, 2012-2015
Academia
- Assistant Professor in the College of Information Engineering of SZU, 2014-2017
- Postdoctoral Fellow in the Department of Information Engineering of CUHK, 2013-2014
- Research assistant at the Institute of Network Coding of CUHK, 2012-2013
Projects
Fundamentals
- Machine Learning and Deep Learning
- Deep Reinforcement Learning
- Graph Neural Network
- Model Interpretability
- Causal Inference
- Data Analytics and Big Data Mining
Publications
Journal papers
- Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control[J]. ToN 2021
- GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs[J]. TKDE 2020
- Identifying User Relationship on WeChat Money-Gifting Network[J]. TKDE 2020
- DeepCP: Deep Learning Driven Cascade Prediction Based Autonomous Content Placement in Closed Social Network[J]. JSAC 2020
- Mobile Social Data Learning for User-Centric Location Prediction with Application in Mobile Edge Service Migration[J]. IoTJ 2019
- On Carrier Sensing Accuracy and Range Scaling Laws in Nakagami Fading Channels[J]. Wireless Communications and Mobile Computing, 2017.
- Design, Implementation and Measurement of a Crowdsourcing-based Content Distribution Platform[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2016.
- Performance Analysis of Thunder Crystal: A Crowdsourcing-based Video Distribution Platform[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
- Social-group-based ranking algorithms for cold-start video recommendation[J]. International Journal of Data Science and Analytics, 2016.
- Smart Streaming for Online Video Services[J]. IEEE Transactions on Multimedia (TMM), 2015.
- Analysis and Detection of Fake Views in Online Video Services[J]. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM), 2015.
- Video Popularity Dynamics and its Implication for Replication[J]. IEEE Transactions on Multimedia (TMM), 2015.
- Turbocharged Video Distribution via P2P[J]. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2015.
- A Study of User Behavior in Online VoD Services[J]. Computer Communications, 2014.
Conference papers
- Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks[C]. SDM 2024
- OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction[C]. ACM ICDE 2024
- Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network[C]. NeurIPS 2023
- Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms[C]. ACM RecSys DLP 2023
- Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation[C]. ACM MM 2023
- Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing[C]. ACM SigIR 2023
- Optimizing Feature Set for Click-Through Rate Prediction[C]. ACM WWW 2023
- Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation[C]. DASFAA 2023
- Dynamic Interaction Driven User Relationship Prediction in WeChat Red Packet Network
- Information Cascades over Diffusion-Restricted Social Network: A Data-Driven Analysis[C]. INFOCOM Workshop 2019
- User-Centric Location Prediction in Mobile Social Networks: A Factor Graph Learning Approach[C]. IEEE Globecom 2018.
- WeChat Toxic Article Detection: A Data-Driven Machine Learning Approach[C]. APSIPA ASC 2018.
- Stalling Assessment for Wireless Online Video Streams via ISP Traffic Monitoring[C]. IEEE WCNC 2017.
- An Incentive-Based Mixed QoE Framework for Content Delivery to Smart Homes[C]. ICCCN 2017.
- Social Group Based Video Recommendation Addressing the Cold-Start Problem[C]. PAKDD 2016.
- Thunder Crystal: A Novel Crowdsourcing-based Content Distribution Platform[C]. ACM NOSSDAV 2015.
- Distributing Very-large Content from Cloud to Smart Home Hubs: Measurement and Implications[C]. IEEE ICC 2015.
- DST: Leveraging Delay-insensitive Workload in Cloud Storage for Smart Home Network[C]. ICCCN 2015.
- Analyzing Streaming Performance in Crowdsourcing-based Video Service Systems[C]. IEEE LANMAN 2015.
- Batching for Smart Home: Leveraging Delay-insensitive Workload in Cloud Storage[C]. COMSNETS, 2015.
- Fake View Analytics in Online Video Services[C]. ACM NOSSDAV 2014.
- A Lifetime Model of Online Video Popularity[C]. ICCCN 2014.
- A measurement study of the potential benefits for peer-assisted mobile VoD[C]. IWCMC 2014.
- Video Browsing - A Study of User Behavior in Online VoD Services[C]. ICCCN 2013.
- From ISP address announcement patterns to routing scalability[C], ACM PAM/TMA 2012.
- Distributed and optimal reduced primal-dual algorithm for uplink OFDM resource allocation[C]. IEEE CDC 2009.
- Collective behavior of an anisotropic swarm model based on unbounded repulsion in social potential fields, Computational Intelligence and Bioinformatics: Springer, 2006.
Chinese papers
- 基于DNN算法的移动视频推荐策略[J]. 计算机学报, 2016.
- 基于深度信念网络的在线视频热度预测[J]. 计算机工程与应用, 2016.
- 基于用户预览行为的流媒体带宽分配研究[J]. 小型微型计算机系统, 2014.
Repository
Resume
CV
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