ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. - Qingchun Bai; Qi Zhang 001; Qinmin Hu; Liang He 001 (CLEF (Working Notes), 2018)

Topic Detection with Danmaku: A Time-Sync Joint NMF Approach. - Qingchun Bai; Qinmin Hu; Faming Fang; Liang He 001 (DEXA (2), 2018)

Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media. - Qingchun Bai; Kai Wei; Mengwei Chen; Qinmin Hu; Liang He 001 (KSEM (1), 2018)

Stories That Big Danmaku Data Can Tell as a New Media. - Qingchun Bai; Qinmin Vivian Hu; Linhui Ge; Liang He 001 (IEEE Access, 2019)

Aligned variational autoencoder for matching danmaku and video storylines. - Qingchun Bai; Yuanbin Wu; Jie Zhou 015; Liang He 001 (Neurocomputing, 2021)

Entity-level sentiment prediction in Danmaku video interaction. - Qingchun Bai; Kai Wei; Jie Zhou 015; Chao Xiong; Yuanbin Wu; Xin Lin 001; Liang He 001 (J. Supercomput., 2021)

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. - Yuhao Dan; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Liang He 001 (ICASSP, 2022)

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (IJCNN, 2022)

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (SemEval@NAACL, 2022)

Enhancing Event-Level Sentiment Analysis with Structured Arguments. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Liang He 001 (SIGIR, 2022)

PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. - Qingchun Bai; Jie Zhou 015; Liang He 001 (J. Supercomput., 2022)

A weakly supervised knowledge attentive network for aspect-level sentiment classification. - Qingchun Bai; Jun Xiao; Jie Zhou 015 (J. Supercomput., 2023)

CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension. - Xianghui Meng; Yang Song 010; Qingchun Bai; Taoyi Wang (Knowl. Based Syst., 2023)

Trigger-free cybersecurity event detection based on contrastive learning. - Mengmeng Tang; Yuanbo Guo; Qingchun Bai; Han Zhang (J. Supercomput., 2023)

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. - Shunyu Liu 003; Jie Zhou 015; Qunxi Zhu; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (LREC/COLING, 2024)

Extracting entity and relationship interactions from danmaku-video comments using a neural bootstrapping framework. - Qingchun Bai; Mengmeng Tang; Yang Song 010; Jun Xiao (J. Supercomput., 2024)

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. - Tianyu Huai; Jie Zhou 015; Xingjiao Wu; Qin Chen 001; Qingchun Bai; Ze Zhou; Liang He 001 (CVPR, 2025)