基本信息
| 姓名：蔡毅 办公室：B7-302 E-mail: ycai@scut.edu.cn 所在团队：智能软件与机器人团队 个人主页：https://www2.scut.edu.cn/sse/2018/0615/c16788a270751/page.htm |
个人简介
蔡毅，华南理工大学软件桃子汉化组移植游戏大全院长，教授，博导；大数据与智能机器人教育部重点实验室主任、大数据与机器人智能粤港澳联合实验室主任、香港裘搓基金访问学者。现为中国计算机学会杰出会员、自然语言处理专委会常委、数据库专委会、信息系统专委会执行委员；中国中文信息学会语言与知识计算专委会委员、情感计算专委会执委、社会媒体计算专委会委员。在 IEEE TKDE、IEEE TIP、IEEE TASLP、IEEE TMM、AAAI、ACL、IJCAI、ACM MM、SIGIR、EMNLP、COLING等顶级国际期刊和会议上发表论文200多篇。担任NLPCC 2023组织主席， APWeb-WAIM 2021大会主席，第四届中国情感计算大会、ICEBE 2021、IEEE DSC 2020和 APWeb-WAIM 2018程序委员会主席，CCKS 2020工业论坛主席，国际学术期刊IEEE/ACM TASLP副主编，CMC-Computers, Materials & Continua副主编，Natural Language Processing Journal编委。相关成果曾获得广东省科技进步二等奖、中国计算机学会科学技术奖技术发明二等奖、日内瓦发明展银奖等奖项，获中国计算机学会大数据与计算智能大赛一等奖、最佳算法能力奖等多个技术评测奖项，相关技术在多个行业龙头企业落地应用。
学历
1999.09-2003.07 四川大学
2003.09-2005.07 四川大学
2005.11-2009.08 香港中文大学
2009.09-2011.04 香港城市大学
教学经历
从事过数据仓库与数据挖掘、信息检索、高级语言程序设计、IT前沿技术等课程的教学和建设。
工作经历
2009.09-2011.04 香港城市大学 Senior Research Associate
2011.05-2012.08 华南理工大学 教师 讲师
2012.09-2014.08 华南理工大学 教师 副教授
2014.09-至今 华南理工大学 教师 教授
社会兼职
2021.09-至今 中国计算机学会 杰出会员
2013.10-至今 中国计算机学会数据库专委会 委员
2016.12-至今 中国计算机学会大数据专委会 委员
2017.08-至今 中国计算机学会中文信息技术专委会 委员
2016.08-至今 中国中文信息学会社会媒体处理专委会 委员
2018.08-至今 中国中文信息学会语言与知识技术专委会 委员
2021.04-至今 中国中文信息学会情感计算专委会 执委
2018.10-至今 广东省计算机学会大数据专委会 副主任委员
2013.01-至今 广东省计算机学会数据库专委会 理事
2013.01-至今 广东省机器人学会学术委员会 委员
2024.07 ??第四届中国情感计算大会程序委员会主席
2023.10 ??NLPCC 2023 组织主席
2018.01-2018.12 APWEB-WAIM2018 PC Co-Chair
2018.12 中国中文信息学会语言与知识计算专委会学术研讨会 主席
2020.01-2020.12 CCKS 2020 Industry Track Chair
2021.01-2021.12 ICEBE 2021 Program Chairs
2021.01-2021.12 ICME 2021 Sepical Session Chair
2021.01-2021.12 APWEB-WAIM2021 General Co-Chair
2022.01-2022.12 ICME 2022 Sepical Session Chair
研究方向
人工智能与大数据、自然语言处理、数据挖掘、推荐系统、信息检索与智能搜索引擎、对话系统、知识图谱、多模态分析等。
获奖情况
2024.05 第十七届全国大学生软件创新大赛 一等奖
2023.02 第十届CCF大数据与计算智能大赛 一等奖
2023.04 中国通信学会科学技术奖 基于运营商大数据的智慧政府应急管理研究与应用 三等奖
2021.08 APWEB-WAIM 2021 Best Paper Runner-UP
2021.08 APWeb-WAIM 2021 Best Student Paper Award
2020.02 2019 年广东省科技进步奖 二等奖
2019.04 SALON INTERNATIONAL DES INVENTIONS DE GEN?VE 组委会 第47届日内瓦发明展发明奖 Fuzzy Talent Assessment System Based on Educational Big Data 银奖
2018 China Health Information Processing Conference CHIP
2018.12 中国计算机学会 2018 年CCF 大数据与计算智能大赛 供应链需求预测 二等奖
2018.12 中国计算机学会 2018 年CCF 大数据与计算智能大赛 视频中人体姿态识别 二等奖
2018.12 中国计算机学会 2018 年CCF 大数据与计算智能大赛 汽车行业用户观点主题及情感识别 二等奖
2018.12 中国计算机学会 2018 年CCF 大数据与计算智能大赛 互联网金融平台用户评价观点提取 三等奖
2018.11 FSDM2018 大会委员会 Best Oral Presentation Award 一等奖
2018.10 中国计算机协会 2018年科学技术奖 数据库系统中的个性化服务2018年科学技术奖
2017.12 中国计算机学会 2017年CCF 大数据与计算智能大赛 基于主题的文本情感分析 一等奖
2017.12 中国计算机学会 2017年CCF大数据与计算智能大赛 小超市供销存管理优化 三等奖
2017.12 中国计算机学会 2017年CCF大数据与计算智能大赛 城市自行车的出行行为分析及效率优化 二等奖
2017.12 中国计算机学会 2017年CCF大数据与计算智能大赛 基于机构实体的智能摘要和风险等级识别 二等奖
2015. 09 华南理工大学第七届“我最喜爱的导师”
2015.04 2015 SeCop 会议组委会Best Student Paper Award Entity Relation Mining in Large-Scale Data 一等奖
2015.01 中国计算机学会 CCF 全国大数据创新大赛 中文句式的句法精准分析 一等奖
2010.07 The 11th International Conference on Web-Age Information Management Best Student Paper Award Context-Aware Basic Level Concepts Detection in Folksonomies 一等奖
部分科研项目
1.面向程序性文本的知识图谱构建关键技术研究，2025年国家自然科学基金项目
2.基于多源多模态信息融合的手部运动异常疾病辅助诊断机器人研究，2023年广东省自然科学基金区域联合基金重点项目
3.电子信息领域标准大数据公共服务平台子项目，2021年国家工信部产业技术基础公共服务平台项目
4.面向小样本数据的知识图谱构建关键技术研究, 2020年国家自然科学基金面上项目
5.面向疫情防控和复工复产的标准知识图谱智能服务平台研发和应用，2020国家重点研发计划“科技助力经济2020”专项
6.面向金融智能服务风控的技术研究，2020广东省重点领域研发计划项目
7.面向人工智能操作系统领域的开源测评公共服务平台，2020 国家工信部项目
8.基于自然语言语义分析和深度学习的智能在线教学实训平台关键技术研究及应用,2019 年广州市产业技术重大攻关计划(现代产业技术专题)
9.基于多元异构数据融合的海岸船舶智能监控和风险防控,2018 年广州市产业技术重大攻关计划(现代产业技术专题)
10.电商大数据中的评论智能分析技术研究及其示范应用,2017 年广州市科技计划产学研协同创新重大专项对外科技合作专题
11.基于教育大数据的：瞬牌啦饧际跫捌溆τ,2017 广东省前沿与关键技术创新专项资金项目（粤港联合创新领域）
12.金山办公软件与华南理工大学委托科研项目,企事业委托项目
近三年发表论文
2025
1.Liuwu Li, Yi Cai, Jiexin Wang, Cantao Wu, Qingbao Huang, Qing Li: Decoding before aligning: Scale-Adaptive Early-Decoding Transformer for visual grounding. Neurocomputing 633: 129756 (2025).
2.Jiayuan Xie, Jiasheng Zheng, Wenhao Fang, Yi Cai, Qing Li: Explicitly diverse visual question generation. Neural Networks 184: 107002 (2025).
3.Li Yuan, Yi Cai, Jingyun Xu, Qing Li, Tao Wang: A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction. IEEE Trans. Knowl. Data Eng. 37(1): 1-14 (2025).
4.Qi Peng, Yi Cai, Jiankun Liu, Quan Zou, Xing Chen, Zheng Zhong, Zefeng Wang, Jiayuan Xie, Qing Li: Integration of Multi-Source Medical Data for Medical Diagnosis Question Answering. IEEE Trans. Medical Imaging 44(3): 1373-1385 (2025).
5.Liuwen Cao, Hongkui He, Hailin Huang, Jiexin Wang, Yi Cai: Rethinking-based Code Summarization with Chain of Comments. COLING 2025: 3043-3056.
2024
6.Jingyun Xu, Jiayuan Xie, Yi Cai, Zehang Lin, Ho-fung Leung, Qing Li, Tat-Seng Chua: Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15(1): 144-156 (2024).
7.Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai, Ho-fung Leung, Qing Li, Qingbao Huang: A Knowledge-Enhanced and Topic-Guided Domain Adaptation Model for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(2): 709-721 (2024).
8.Linjian Li, Yi Cai, Xin Wu: Unsupervised Disentanglement Learning Model for Exemplar-Guided Paraphrase Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1885-1900 (2024).
9.Pijian Li, Qingbao Huang, Zhigang Li, Yi Cai, Feng Shuang, Qing Li: Multi-Granularity Feature Fusion for Image-Guided Story Ending Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3437-3449 (2024).
10.Junhao Feng, Guohua Wang, Changmeng Zheng, Yi Cai, Ze Fu, Yaowei Wang, Xiao-Yong Wei, Qing Li: Towards Bridged Vision and Language: Learning Cross-Modal Knowledge Representation for Relation Extraction. IEEE Trans. Circuits Syst. Video Technol. 34(1): 561-575 (2024).
11.Jiayuan Xie, Jiali Chen, Zhenghao Liu, Yi Cai, Qingbao Huang, Qing Li: Video Question Generation for Dynamic Changes. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8710-8721 (2024).
12.Jiayuan Xie, Yi Cai, Jiali Chen, Ruohang Xu, Jiexin Wang, Qing Li: Knowledge-Augmented Visual Question Answering With Natural Language Explanation. IEEE Trans. Image Process. 33: 2652-2664 (2024).
13.Guorui Li, Pengfei Xu, Sancheng Peng, Cong Wang, Yi Cai, Shui Yu: TTSR: Tensor-Train Subspace Representation Method for Visual Domain Adaptation. IEEE Trans. Knowl. Data Eng. 36(11): 7229-7241 (2024).
14.Jianwei Lu, Guohua Wang, Yi Cai, Xin Wu: Towards Automated Infographic Authoring From Natural Language Statement With Multiple Proportional Facts. IEEE Trans. Multim. 26: 7101-7113 (2024).
15.Bingshan Zhu, Yi Cai, Jiexin Wang: Graph-Based Multimodal Topic Modeling With Word Relations and Object Relations. IEEE Trans. Multim. 26: 8210-8225 (2024).
16.Jingyun Xu, Junnan Yu, Yi Cai, Tat-Seng Chua: Dual Contrastive Learning for Cross-Domain Named Entity Recognition. ACM Trans. Inf. Syst. 42(6): 163:1-163:33 (2024).
17.Wenhao Fang, Jiayuan Xie, Hongfei Liu, Jiali Chen, Yi Cai: Diverse Visual Question Generation Based on Multiple Objects Selection. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 161:1-161:22 (2024).
18.Qingbao Huang, Pijian Li, Youji Huang, Feng Shuang, Yi Cai: Region-Focused Network for Dense Captioning. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 183:1-183:20 (2024).
19.Peizhi Zhao, Shiyi Zheng, Wenye Zhao, Dongsheng Xu, Pijian Li, Yi Cai, Qingbao Huang: Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point. AAAI 2024: 7487-7495.
20.Jiayuan Xie, Zhiping Zhou, Zihan Wu, Xinting Zhang, Jiexin Wang, Yi Cai, Qing Li: Automated Defect Report Generation for Enhanced Industrial Quality Control. AAAI 2024: 19306-19314.
21.Xin Wu, Yi Cai, Ho-fung Leung: Abstract-level Deductive Reasoning for Pre-trained Language Models. LREC/COLING 2024: 70-76.
22.Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang: A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. LREC/COLING 2024: 759-772.23.Liuwen Cao, Yi Cai, Jiexin Wang, Hongkui He, Hailin Huang: Beyond Code: Evaluate Thought Steps for Complex Code Generation. LREC/COLING 2024: 2296-2306.
24.Haopeng Ren, Yushi Zeng, Yi Cai, Zhenqi Ye, Li Yuan, Pinli Zhu: Grounded Multimodal Procedural Entity Recognition for Procedural Documents: A New Dataset and Baseline. LREC/COLING 2024: 7971-7981.
25.Hongfei Liu, Guohua Wang, Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai: Knowledge-Guided Cross-Topic Visual Question Generation. LREC/COLING 2024: 9854-9864.
26.Junyue Song, Xin Wu, Yi Cai: Step Feasibility-Aware and Error-Correctable Entailment Tree Generation. LREC/COLING 2024: 15296-15308.
27.Li Yuan, Yi Cai, Haopeng Ren, Jiexin Wang: A Logical Pattern Memory Pre-trained Model for Entailment Tree Generation. CoRR abs/2403.06410 (2024).
28.Jiexin Wang, Adam Jatowt, Yi Cai: Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language Models. CoRR abs/2406.01863 (2024).
29.Jiexin Wang, Xitong Luo, Liuwen Cao, Hongkui He, Hailin Huang, Jiayuan Xie, Adam Jatowt, Yi Cai: Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval. CoRR abs/2407.02395 (2024).
2023
30.Changxi Zhu, Yi Cai, Shuyue Hu, Ho-fung Leung, Dickson K. W. Chiu: Learning by reusing previous advice: a memory-based teacher-student framework. Auton. Agents Multi Agent Syst. 37(1): 14 (2023).
31.Bingshan Zhu, Yi Cai, Haopeng Ren: Graph neural topic model with commonsense knowledge. Inf. Process. Manag. 60(2): 103215 (2023).
32.Jiayuan Xie, Jiali Chen, Wenhao Fang, Yi Cai, Qing Li: Visual question generation for explicit questioning purposes based on target objects. Neural Networks 167: 638-647 (2023).
33.Xing Zhang, Jingyun Xu, Yi Cai, Xingwei Tan, Changxi Zhu: Detecting Dependency-Related Sentiment Features for Aspect-Level Sentiment Classification. IEEE Trans. Affect. Comput. 14(1): 196-210 (2023).
34.Jiayuan Xie, Wenhao Fang, Qingbao Huang, Yi Cai, Tao Wang: Enhancing Paraphrase Question Generation With Prior Knowledge. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1464-1475 (2023).
35.Xin Wu, Yi Cai, Zetao Lian, Ho-fung Leung, Tao Wang: Generating Natural Language From Logic Expressions With Structural Representation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1499-1510 (2023).
36.Ze Fu, Changmeng Zheng, Junhao Feng, Yi Cai, Xiao-Yong Wei, Yaowei Wang, Qing Li: DRAKE: Deep Pair-Wise Relation Alignment for Knowledge-Enhanced Multimodal Scene Graph Generation in Social Media Posts. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3199-3213 (2023).
37.Haopeng Ren, Yi Cai, Raymond Y. K. Lau, Ho-fung Leung, Qing Li: Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification. IEEE Trans. Knowl. Data Eng. 35(5): 4852-4866 (2023).
38.Huakui Zhang, Yi Cai, Haopeng Ren, Qing Li: Multimodal Topic Modeling by Exploring Characteristics of Short Text Social Media. IEEE Trans. Multim. 25: 2430-2445 (2023).
39.Yuqi Bu, Liuwu Li, Jiayuan Xie, Qiong Liu, Yi Cai, Qingbao Huang, Qing Li: Scene-Text Oriented Referring Expression Comprehension. IEEE Trans. Multim. 25: 7208-7221 (2023).
40.Jie Lin, Yi Cai, Xin Wu, Jianwei Lu: Graph-Based Information Block Detection in Infographic With Gestalt Organization Principles. IEEE Trans. Vis. Comput. Graph. 29(3): 1705-1718 (2023).
41.Haopeng Ren, Zeting Li, Yi Cai, Xingwei Tan, Xin Wu: Learning refined features for open-world text classification with class description and commonsense knowledge. World Wide Web (WWW) 26(2): 637-660 (2023).
42.Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang: Graph convolutional network for difficulty-controllable visual question generation. World Wide Web (WWW) 26(6): 3735-3757 (2023).
43.Yang Lei, Peizhi Zhao, Pijian Li, Yi Cai, Qingbao Huang: Linking People across Text and Images Based on Social Relation Reasoning. AAAI 2023: 1260-1268.
44.Li Yuan, Yi Cai, Jin Wang, Qing Li: Joint Multimodal Entity-Relation Extraction Based on Edge-Enhanced Graph Alignment Network and Word-Pair Relation Tagging. AAAI 2023: 11051-11059.
45.Hongfei Liu, Jiali Chen, Wenhao Fang, Jiayuan Xie, Yi Cai: Category-Guided Visual Question Generation (Student Abstract). AAAI 2023: 16262-16263.
46.Jingyun Xu, Changmeng Zheng, Yi Cai, Tat-Seng Chua: Improving Named Entity Recognition via Bridge-based Domain Adaptation. ACL (Findings) 2023: 3869-3882.
47.Changmeng Zheng, Junhao Feng, Yi Cai, Xiaoyong Wei, Qing Li: Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View. ACL (1) 2023: 6810-6824.
48.Haopeng Ren, Yushi Zeng, Yi Cai, Bihan Zhou, Zetao Lian: Constructing Procedural Graphs with Multiple Dependency Relations: A New Dataset and Baseline. ACL (Findings) 2023: 8474-8486.
49.Yuqi Bu, Xin Wu, Liuwu Li, Yi Cai, Qiong Liu, Qingbao Huang: Segment-Level and Category-Oriented Network for Knowledge-Based Referring Expression Comprehension. ACL (Findings) 2023: 8745-8757.
50.Jingyun Xu, Yi Cai: Improving Cross-Domain Named Entity Recognition from the Perspective of Representation. DASFAA (4) 2023: 736-742.
51.Cantao Wu, Yi Cai, Liuwu Li, Jiexin Wang: Scene Graph Enhanced Pseudo-Labeling for Referring Expression Comprehension. EMNLP (Findings) 2023: 11978-11990.
52.Jingwei Zhang, Xin Wu, Yi Cai: CLEVR-Implicit: A Diagnostic Dataset for Implicit Reasoning in Referring Expression Comprehension. EMNLP 2023: 12820-12830.
53.Yaoming Deng, Qiqi Ding, Xin Wu, Yi Cai: Curiosity Enhanced Bayesian Personalized Ranking for Recommender Systems. ICONIP (10) 2023: 312-324.
54.Dongsheng Xu, Wenye Zhao, Yi Cai, Qingbao Huang: Zero-TextCap: Zero-shot Framework for Text-based Image Captioning. ACM Multimedia 2023: 4949-4957.
55.Jiali Chen, Zhenjun Guo, Jiayuan Xie, Yi Cai, Qing Li: Deconfounded Visual Question Generation with Causal Inference. ACM Multimedia 2023: 5132-5142.
56.Nan Li, Pijian Li, Dongsheng Xu, Wenye Zhao, Yi Cai, Qingbao Huang: Scene-text Oriented Visual Entailment: Task, Dataset and Solution. ACM Multimedia 2023: 5562-5571.
57.Jingyun Xu, Yi Cai: Decoupled Hyperbolic Graph Attention Network for Cross-domain Named Entity Recognition. SIGIR 2023: 591-600.
58.Jiexin Wang, Adam Jatowt, Masatoshi Yoshikawa, Yi Cai: BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information. SIGIR 2023: 812-821.
59.Qun Liu, Yi Cai, Junying Chen: MC-PDARTS: Multi-Cell Progressive Differentiable Architecture Search. SMC 2023: 2667-2674.
60.Dongsheng Xu, Qingbao Huang, Feng Shuang, Yi Cai: DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps. CoRR abs/2302.01540 (2023).
61.Jiexin Wang, Liuwen Cao, Xitong Luo, Zhiping Zhou, Jiayuan Xie, Adam Jatowt, Yi Cai: Enhancing Large Language Models for Secure Code Generation: A Dataset-driven Study on Vulnerability Mitigation. CoRR abs/2310.16263 (2023).
2022
62.Haopeng Ren, Yi Cai, Yushi Zeng, Jinghui Ye, Ho-fung Leung, Qing Li: Aspect-Opinion Correlation Aware and Knowledge-Expansion Few Shot Cross-Domain Sentiment Classification. IEEE Trans. Affect. Comput. 13(4): 1691-1704 (2022).
63.Jiayuan Xie, Ningxin Peng, Yi Cai, Tao Wang, Qingbao Huang: Diverse Distractor Generation for Constructing High-Quality Multiple Choice Questions. IEEE ACM Trans. Audio Speech Lang. Process. 30: 280-291 (2022).
64.Yongkang Liu, Qingbao Huang, Jing Li, Linzhang Mo, Yi Cai, Qing Li: SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 686-694 (2022).
65.Xiaofeng Chen, Guohua Wang, Haopeng Ren, Yi Cai, Ho-fung Leung, Tao Wang: Task-Adaptive Feature Fusion for Generalized Few-Shot Relation Classification in an Open World Environment. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1003-1015 (2022).
66.Jiayuan Xie, Wenhao Fang, Yi Cai, Qingbao Huang, Qing Li: Knowledge-Based Visual Question Generation. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7547-7558 (2022).
67.Qingbao Huang, Yu Liang, Jielong Wei, Yi Cai, Hanyu Liang, Ho-fung Leung, Qing Li: Image Difference Captioning With Instance-Level Fine-Grained Feature Representation. IEEE Trans. Multim. 24: 2004-2017 (2022).
68.Ninglin Ouyang, Qingbao Huang, Pijian Li, Yi Cai, Bin Liu, Ho-fung Leung, Qing Li: Suppressing Biased Samples for Robust VQA. IEEE Trans. Multim. 24: 3405-3415 (2022).
69.Shuhao Zheng, Guoyan Liang, Junying Chen, Yongyu Ye, Yunbing Chang, Yi Cai, Shaowu Peng: Diagnostic Prediction for Cervical Spondylotic Myelopathy Based on Multi-source Data in Electronic Medical Records. WISA 2022: 462-470.
70.Yuqi Bu, Jiayuan Xie, Liuwu Li, Qiong Liu, Yi Cai: Bridging the Gap between Expression and Scene Text for Referring Expression Comprehension (Student Abstract). AAAI 2022: 12921-12922.
71.Ze Fu, Junhao Feng, Changmeng Zheng, Yi Cai: Knowledge-Enhanced Scene Graph Generation with Multimodal Relation Alignment (Student Abstract). AAAI 2022: 12947-12948.
72.Haopeng Ren, Yi Cai, Yushi Zeng: Aspect-Opinion Sentiment Alignment for Cross-Domain Sentiment Analysis (Student Abstract). AAAI 2022: 13033-13034.
73.Yushi Zeng, Guohua Wang, Haopeng Ren, Yi Cai: Enhance Cross-Domain Aspect-Based Sentiment Analysis by Incorporating Commonsense Relational Structure (Student Abstract). AAAI 2022: 13105-13106.
74.Weizhao Li, Junsheng Kong, Ben Liao, Yi Cai: Mitigating Contradictions in Dialogue Based on Contrastive Learning. ACL (Findings) 2022: 2781-2788.
75.Feng Ge, Weizhao Li, Haopeng Ren, Yi Cai: Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline. COLING 2022: 6795-6804.
76.H Ren, Y Cai, RYK Lau, H Leung, Q Li*: Granularity-aware Area Prototypical Network with Bimargin Loss for Few Shot Relation Classification. IEEE Transactions on Knowledge and Data Engineering, 2022, to appear.
77.J Lin, Y Cai, X Wu, J Lu*: Graph-Based Information Block Detection in Infographic with Gestalt Organization Principles. IEEE Transactions on Visualization and Computer Graphics, 2022, to appear.
78.XF Chen, GH Wang, HP Ran, Y Cai, HF Leung, T Wang*: Task-adaptive Feature Fusion for Generalized Few-shot Relation Classification in an Open World Environment. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, to appear.
79.HK Zhang, Y Cai, HP Ran, Q Li*: Multimodal Topic Modeling by Exploring Characteristics of Short Text Social Media. IEEE Transactions on Multimedia, to appear.
80.Y Liu, Q Huang, J Li, L Mo, Y Cai, Q Li*: SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022, to appear.
81.Jiayuan Xie, Ningxin Peng, Yi Cai, Tao Wang, Qingbao Huang*: Diverse Distractor Generation for Constructing High-Quality Multiple Choice Questions. IEEE ACM Trans. Audio Speech Lang. Process. 30: 280-291 (2022).
