News
Feb 2024
I will be a Research Intern at Tencent AI Lab (Seattle) in May 2024
1 Feb 2024
Invited Reviewer for ACM MM 2024.
21 Jan 2024
Invited to serve on the review committee for the track LC10 - Information Extraction, Knowledge Extraction, and Text Mining at LREC-COLING 2024.
1 Jan 2024
Invited Reviewer for ICML 2024.
12 Dec 2023
One paper is accepted by ICASSP 2024.
11 Dec 2023
Our full paper "Knowledge-enhanced Memory Model for Emotional Support Conversation" is accepted as an oral paper by AAAI 2024 ML4CMH.
10 Dec 2023
Our full paper "Debiasing Multimodal Sarcasm Detection with Contrastive Learning" is accepted by AAAI 2024.
Nov 2023
FaithScore for LVLM hallucinations evaluation is out. Use our tool for any multimodal open-ended questions!
25 Sep 2023
Invited Reviewer for IEEE Transactions on Audio, Speech, and Language Processing.
1 Sep 2023
Invited Reviewer for ICLR 2024.
8 Aug 2023
Invited Emergency Reviewer for EMNLP 2023.
26 July 2023
Our full paper "General Debiasing for Multimodal Sentiment Analysis" is accepted by ACM MM 2023.
14 Jun 2023
Our full paper "Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model" is accepted by ACM TOIS.
27 May 2023
Our full paper "Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain" is accepted by ACM TOIS.
2 May 2023
Our full paper "Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation" is accepted by ACL 2023.
20 April 2023
Our full paper "Dual Consistency-enhanced Semi-supervised Sentiment Analysis towards COVID-19 Tweets" is accepted by IEEE TKDE.
5 April 2023
Our full paper "Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization" is accepted by ACM SIGIR 2023.
28 March 2023
Invited Reviewer for NeurIPS 2023.
20 February 2023
Invited Reviewer for IEEE TCSVT.
29 January 2023
Invited Reviewer for ICML 2023.
17 January 2023
Invited Reviewer for IEEE TMM.
19 November 2022
Our paper "Mutual-enhanced Incongruity Learning Network for Multi-modal Sarcasm Detection" is accepted by AAAI 2023
20 October 2022
Invited Reviewer for Information Sciences.
30 August 2022
Our paper "Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization" is accepted by Machine Intelligence Research.
30 July 2022
Our full paper "CI-OCM: Counterfactural Inference towards Unbiased Outfit Compatibility Modeling" is accepted by the Workshop MCFR of ACM MM 2022.
24 July 2022
Invited Reviewer for NeurIPS 2022.
17 July 2022
Invited Reviewer for ACM MM 2022.
30 June 2022
Our full paper "Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis" is accepted by ACM MM 2022.
28 April 2022
I won the ACM SIGIR 2022 Student Travel Grant.
31 March 2022
Our full paper "V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation" is accepted by ACM SIGIR 2022.
1 August 2021
I will be as a Research Intern at Alibaba DAMO Academy in Aug. 2021, supervised by Zhongzhou Zhao
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Liqiang Jing （CN: 井立强）
Email: jingliqiang6 AT gmail.com
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Liqiang Jing is a Ph.D. student supervised by Prof. Xinya Du at the University of Texas at Dallas.
He received the Master degree in the School of Computer Science and Technology from Shandong University in 2023 and the Bachelor degree in the School of Computer Science and Information from Hefei University of Technology
in 2020. His research interests include multimodal learning and natural language processing.
Now, he is very interested in Safety/Alignment for Large Vision-Language Models (LVLM) and Large Language Models (LLM).
I am happy to chat and discuss potential collaborations. Please feel free to reach out to me via Email (jingliqiang6 AT gmail.com).
- If you are looking for research opportunities in Professor Du's Lab, please contact Professor Xinya Du.
- If you are a Beginner Researcher and want to work with me, please contact me with your CV, research interests, and research proposal [Optional].
- If you are an experienced researcher and want to collaborate/talk with me, please contact me directly.
Education
| The University of Texas at Dallas Ph.D. in Computer Science, Aug. 2023 - present Advisor: Xinya Du |
| Shandong University Master in Computer Technology, Sep. 2020 - Jun. 2023 Transcript Advisor: Xuemeng Song Co-Advisor: Liqiang Nie |
| Hefei University of Technology Bachelor in Computer Science and Technology, Sep. 2016 - Jul. 2020 Transcript |
Experiences
| Research Intern, Alibaba DAMO Academy, May. 2022 -- Jan. 2023 Advisor: Zhongzhou Zhao |
| AIR (Alibaba Innovative Research) Project Intern, Alibaba DAMO Academy, Aug. 2021 -- Jan. 2022 Advisor: Zhongzhou Zhao |
Publications
In the Year of 2024: |
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie & Liqiang Jing* (Corresponding Author) AAAI 2024 • Codes&Data |
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Knowledge-enhanced Memory Model for Emotional Support Conversation.
Mengzhao Jia, Qianglong Chen, Liqiang Jing, Dawei Fu & Renyu Li AAAI 2024 • Codes&Data |
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VK-G2T: Vision and Context Knowledge Enhanced Gloss2Text
Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao & Liqiang Nie ICASSP 2024 • Codes&Data |
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Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization
Liqiang Jing, Yiren Li, Junhao Xu, Yongcan Yu, Pei Shen & Xuemeng Song Machine Intelligence Research • Codes&Data |
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Mutual-enhanced Incongruity Learning Network for Multi-modal Sarcasm Detection.
Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu & Liqiang Nie AAAI 2023 • Codes&Data |
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Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization.
Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun & Liqiang Nie ACM SIGIR 2023 • Codes&Data |
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Dual Consistency-enhanced Semi-supervised Sentiment Analysis towards COVID-19 Tweets.
Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng & Liqiang Nie IEEE TKDE • Codes&Data |
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Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation.
Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia & Liqiang Nie ACL 2023 • Codes&Data |
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Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain.
Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou & Liqiang Nie ACM TOIS • Codes&Data |
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Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model.
Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu & Liqiang Nie ACM TOIS • Codes&Data |
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General Debiasing for Multimodal Sentiment Analysis.
Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei & Liqiang Nie ACM MM 2023 • Codes&Data |
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V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation
Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen & Liqiang Nie ACM SIGIR 2022 • Codes&Data |
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Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis
Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song & Liqiang Nie ACM MM 2022 • Codes&Data |
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CI-OCM: Counterfactural Inference towards Unbiased Outfit Compatibility Modeling
Liqiang Jing, Minghui Tian, Xiaolin Chen, Teng Sun, Weili Guan & Xuemeng Song ACM MM 2022 • Codes&Data |
Presentations
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Evaluating Hallucination in LVLMs on AGI Super Summit hosted by SuperAGI.
Slides |
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ACM SIGIR 2022 Oral on V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation
Slides |
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ACM MM 2022 Oral on Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis
Slides |
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ACM MCFR 2022 on CI-OCM: Counterfactual Inference towards Unbiased Outfit Compatibility Modeling
Slides |
Patent
| Text generation methods and devices (applying) CN202211048016.0 |
| Text generation methods and devices (applying) CN202211158537.1 |
| A knowledge-guided multi-source information fusion method for predicting blast furnace gas (applying) CN202210606561.0 |
| Adaptive deployment methods, systems, devices and storage media of transmission inspection terminals CN202211146873.4 |
Teacher Assistant
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Spring 2024, CS 4375 Introduction to Machine Learning, University of Texas at Dallas Fall 2023, CS 6320 Natural Language Processing, University of Texas at Dallas Spring 2021, Machine Learning, Shandong University |
Professional Services
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Invited Reviewer for Conferences: 2022: ACM MM Workshop, NeurIPS; 2023: ICML, NeurIPS, EMNLP; 2024: ICLR, ICML, LREC, COLING, ACM MM. |
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Invited Reviewer for Journals: Information Sciences, IEEE TMM, IEEE TCSVT, IEEE TASLP, Neurocomputing. |
Honors
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Outstanding Graduate Student, Shandong University, 2022 ACM SIGIR Student Travel Grant, 2022 Excellent Graduate, Hefei University of Technology, 2020 National Encouragement Scholarship, 2017, 2018, 2019 First Class Scholarship, Hefei University of Technology, 2018, 2019 |
