Zhangming Chan

Orcid: 0000-0002-3081-2427

According to our database1, Zhangming Chan authored at least 19 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order.
ACM Trans. Inf. Syst., January, 2023

Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order.
CoRR, 2023

Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
CAN: Feature Co-Action Network for Click-Through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots.
ACM Trans. Inf. Syst., 2021

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots.
CoRR, 2021

Enhancing the Open-Domain Dialogue Evaluation in Latent Space.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Selection and Generation: Learning towards Multi-Product Advertisement Post Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
GSN: A Graph-Structured Network for Multi-Party Dialogues.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning towards Abstractive Timeline Summarization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
When Less Is More: Using Less Context Information to Generate Better Utterances in Group Conversations.
Proceedings of the Natural Language Processing and Chinese Computing, 2018


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