Jing Li

Orcid: 0000-0002-8044-2284

Affiliations:
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong
  • Tencent AI Lab, Shenzhen, China (2017 - 2019)
  • Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong (PhD 2017)


According to our database1, Jing Li authored at least 57 papers between 2014 and 2024.

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

Timeline

Legend:

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Bibliography

2024
LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics.
IEEE Trans. Comput. Soc. Syst., June, 2024

CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference.
CoRR, 2024

Prompt-based Code Completion via Multi-Retrieval Augmented Generation.
CoRR, 2024

IndiTag: An Online Media Bias Analysis and Annotation System Using Fine-Grained Bias Indicators.
CoRR, 2024

Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback.
CoRR, 2024

Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPT.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM4Decompile: Decompiling Binary Code with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Data-Augmented and Retrieval-Augmented Context Enrichment in Chinese Media Bias Detection.
CoRR, 2023

HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding.
CoRR, 2023

VIBE: Topic-Driven Temporal Adaptation for Twitter Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Topic-Guided Self-Introduction Generation for Social Media Users.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Modeling Global and Local Interactions for Online Conversation Recommendation.
ACM Trans. Inf. Syst., 2022

Multi-probe attention neural network for COVID-19 semantic indexing.
BMC Bioinform., 2022

Successful New-entry Prediction for Multi-Party Online Conversations via Latent Topics and Discourse Modeling.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Analyzing the Intensity of Complaints on Social Media.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

An extensive study on pre-trained models for program understanding and generation.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Rethinking Attention-Model Explainability through Faithfulness Violation Test.
Proceedings of the International Conference on Machine Learning, 2022

Understanding Social Media Cross-Modality Discourse in Linguistic Space.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Doctor Recommendation in Online Health Forums via Expertise Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Affective awareness in neural sentiment analysis.
Knowl. Based Syst., 2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure.
CoRR, 2021

Getting Your Conversation on Track: Estimation of Residual Life for Conversations.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021

Discrete Argument Representation Learning for Interactive Argument Pair Identification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Engage the Public: Poll Question Generation for Social Media Posts.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Joint Modeling of Characters, Words, and Conversation Contexts for Microblog Keyphrase Extraction.
J. Assoc. Inf. Sci. Technol., 2020

What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Hashtags, Emotions, and Comments: A Large-Scale Dataset to Understand Fine-Grained Social Emotions to Online Topics.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Modeling Evolution of Message Interaction for Rumor Resolution.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Dynamic Online Conversation Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations.
Trans. Assoc. Comput. Linguistics, 2019

Microblog Hashtag Generation via Encoding Conversation Contexts.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Neural Conversation Recommendation with Online Interaction Modeling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Coupling Global and Local Context for Unsupervised Aspect Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Joint Effects of Context and User History for Predicting Online Conversation Re-entries.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Topic-Aware Neural Keyphrase Generation for Social Media Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems.
CoRR, 2018

A Joint Model of Conversational Discourse and Latent Topics on Microblogs.
Comput. Linguistics, 2018

Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Topic Memory Networks for Short Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016
Topic Extraction from Microblog Posts Using Conversation Structures.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Recurrent Neural Networks with External Memory for Spoken Language Understanding.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Learning to Rank Microblog Posts for Real-Time Ad-Hoc Search.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Using Content-level Structures for Summarizing Microblog Repost Trees.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Trending Sentiment-Topic Detection on Twitter.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
WeiboEvents: A Crowd Sourcing Weibo Visual Analytic System.
Proceedings of the IEEE Pacific Visualization Symposium, 2014


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