Timing options for a startup with early termination and competition risks. - Tim Leung; Zongxi Li (Risk Decis. Anal., 2017)

A Clustering Based Adaptive Sequence-to-Sequence Model for Dialogue Systems. - Da Ren; Yi Cai 001; Wai Hong Chan; Zongxi Li (BigComp, 2018)

Incorporating Latent Space Correlation Coefficients to Collaborative Filtering. - Zongxi Li; Haoran Xie 001; Yingchao Zhao 001; Qing Li 001 (ICDE Workshops, 2019)

EmoChannelAttn: Exploring Emotional Construction Towards Multi-Class Emotion Classification. - Zongxi Li; Xinhong Chen 003; Haoran Xie 001; Qing Li 001; Xiaohui Tao 001 (WI/IAT, 2020)

Incorporating Effective Global Information via Adaptive Gate Attention for Text Classification. - Xianming Li; Zongxi Li; Yingbin Zhao; Haoran Xie 001; Qing Li 001 (CoRR, 2020)

Merging Statistical Feature via Adaptive Gate for Improved Text Classification. - Xianming Li; Zongxi Li; Haoran Xie 001; Qing Li 001 (AAAI, 2021)

A Label Extension Schema for Improved Text Emotion Classification. - Zongxi Li; Xianming Li; Haoran Xie 001; Qing Li 001; Xiaohui Tao 001 (WI/IAT, 2021)

Topic analysis and development in knowledge graph research: A bibliometric review on three decades. - Xieling Chen; Haoran Xie 001; Zongxi Li; Gary Cheng 001 (Neurocomputing, 2021)

Word-level emotion distribution with two schemas for short text emotion classification. - Zongxi Li; Haoran Xie 001; Gary Cheng 001; Qing Li 001 (Knowl. Based Syst., 2021)

Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. - Zongxi Li; Haoran Xie 001; Guandong Xu; Qing Li 001; Mingming Leng; Chi Zhou 001 (Pattern Recognit., 2021)

EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism. - Zongxi Li; Xinhong Chen 003; Haoran Xie 001; Qing Li 001; Xiaohui Tao 001; Gary Cheng 001 (World Wide Web, 2021)

Identify Students at Risk Based on Behavioural Patterns in Continuous Assessment. - Zongxi Li; Haoran Xie 001; Fu Lee Wang; Weiming Wang 002; Man-Kong Chow (BESC, 2022)

Automatic Coding of Collective Creativity Dialogues in Collaborative Problem Solving Based on Deep Learning Models. - Zongxi Li; Haoran Xie 001; Minhong Wang 001; Bian Wu 002; Yiling Hu 001 (ICBL, 2022)

A Decade of Sentic Computing: Topic Modeling and Bibliometric Analysis. - Xieling Chen; Haoran Xie 001; Gary Cheng 001; Zongxi Li (Cogn. Comput., 2022)

A Bibliometric Review of Soft Computing for Recommender Systems and Sentiment Analysis. - Xieling Chen; Haoran Xie 001; Jingjing Wang; Zongxi Li; Gary Cheng 001; Man Leung Wong; Fu Lee Wang (IEEE Trans. Artif. Intell., 2022)

Leveraging statistical information in fine-grained financial sentiment analysis. - Han Zhang 043; Zongxi Li; Haoran Xie 001; Raymond Y. K. Lau; Gary Cheng 001; Qing Li 001; Dian Zhang 001 (World Wide Web, 2022)

Recurrent Attention Networks for Long-text Modeling. - Xianming Li; Zongxi Li; Xiaotian Luo; Haoran Xie 001; Xing Lee; Yingbin Zhao; Fu Lee Wang; Qing Li 001 (ACL (Findings), 2023)

Beyond Scores: A Novel Method for Predicting Student Performance Based on Rank and Positional Embedding. - Han Wei; Zongxi Li; Haoran Xie 001; Kevin Hung; Minhong Wang 001 (BESC, 2023)

Cantonese to Written Chinese Translation via HuggingFace Translation Pipeline. - Raptor Yick-Kan Kwok; Siu-Kei Au Yeung; Zongxi Li; Kevin Hung (NLPIR, 2023)

Label Supervised LLaMA Finetuning. - Zongxi Li; Xianming Li; Yuzhang Liu; Haoran Xie 001; Jing Li 049; Fu Lee Wang; Qing Li 001; Xiaoqin Zhong (CoRR, 2023)

Recognizing Conditional Causal Relationships about Emotions and Their Corresponding Conditions. - Xinhong Chen 003; Zongxi Li; Yaowei Wang 001; Haoran Xie 001; Jianping Wang 001; Qing Li 001 (CoRR, 2023)

Information fusion and artificial intelligence for smart healthcare: a bibliometric study. - Xieling Chen; Haoran Xie 001; Zongxi Li; Gary Cheng 001; Mingming Leng; Fu Lee Wang (Inf. Process. Manag., 2023)

A novel dropout mechanism with label extension schema toward text emotion classification. - Zongxi Li; Xianming Li; Haoran Xie 001; Fu Lee Wang; Mingming Leng; Qing Li 001; Xiaohui Tao 001 (Inf. Process. Manag., 2023)

A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction. - Xinhong Chen 003; Qing Li 001; Zongxi Li; Haoran Xie 001; Fu Lee Wang; Jianping Wang 001 (IEEE Trans. Affect. Comput., 2023)

Leveraging deep learning for automatic literature screening in intelligent bibliometrics. - Xieling Chen; Haoran Xie 001; Zongxi Li; Dian Zhang 001; Gary Cheng 001; Fu Lee Wang; Hong-Ning Dai; Qing Li 001 (Int. J. Mach. Learn. Cybern., 2023)

Contrastive Learning Models for Sentence Representations. - Lingling Xu; Haoran Xie 001; Zongxi Li; Fu Lee Wang; Weiming Wang 002; Qing Li 001 (ACM Trans. Intell. Syst. Technol., 2023)

STCM: A spatio-temporal calibration model for low-cost air monitoring sensors. - Yingjun Zhang; Chang Ju; Jiahu Qin; Liyan Song; Xiaoqian Liu; Wei Sun; Zongxi Li (Inf. Sci., 2023)

RAG for Question-Answering for Vocal Training Based on Domain Knowledge Base. - Chun-Hung Jonas Leung; Yicheng Yi; Le Kuai; Zongxi Li; Siu-Kei Au Yeung; Kwok-wah John Lee; Ka-him Kelvin Ho; Kevin Hung (BESC, 2024)

Leveraging Deep Learning for Classifying Learner-Generated Course Evaluation Texts. - Xieling Chen; Zongxi Li; Di Zou; Fu Lee Wang; Haoran Xie 001; Leung Pun Wong (ICBL, 2024)

2D Matryoshka Sentence Embeddings. - Xianming Li; Zongxi Li; Jing Li 049; Haoran Xie 001; Qing Li 001 (CoRR, 2024)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation. - Yufeng Jiang; Zongxi Li; Xiangyan Chen; Haoran Xie 001; Jing Cai (CoRR, 2024)

A Mean Field Games Model for Cryptocurrency Mining. - Zongxi Li; A. Max Reppen; Ronnie Sircar (Manag. Sci., 2024)

Context-Aware Multi-label Classification for Collaborative Problem Solving Dialogue Analysis. - Zijian Wang; Zongxi Li; Haoran Xie 001; Minhong Wang 001; Bian Wu 002; Yiling Hu 001 (ICBL, 2025)

ESE: Espresso Sentence Embeddings. - Xianming Li; Zongxi Li; Jing Li 049; Haoran Xie 001; Qing Li 001 (ICLR, 2025)

Multi-feature Adaptive-fusion Enhanced graph neural Network for open-set node classification. - Xinxin Liu; Jie Cao 001; Weiren Yu; Zongxi Li; Yuyao Wang; Huanhuan Gu; Darko B. Vukovic (Neurocomputing, 2025)

Sentiment analysis for stock market research: A bibliometric study. - Xieling Chen; Haoran Xie 001; Zongxi Li; Han Zhang 043; Xiaohui Tao 001; Fu Lee Wang (Nat. Lang. Process. J., 2025)

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering. - Zongxi Li; Yang Li 072; Haoran Xie 001; S. Joe Qin (CoRR, 2025)