FluteDB: An Efficient and Dependable Time-Series Database Storage Engine. - Chen Li 046; Jianxin Li 002; Jinghui Si; Yangyang Zhang 001 (SpaCCS Workshops, 2017)

Training and Evaluating Improved Dependency-Based Word Embeddings. - Chen Li 046; Jianxin Li 002; Yangqiu Song; Ziwei Lin (AAAI, 2018)

Mining Semantic Variation in Time Series for Rumor Detection Via Recurrent Neural Networks. - Tian Lan; Chen Li 046; Jianxin Li 002 (HPCC/SmartCity/DSS, 2018)

A Lightweight Music Texture Transfer System. - Xutan Peng; Chen Li 046; Zhi Cai; Faqiang Shi; Yidan Liu; Jianxin Li 002 (CoRR, 2018)

Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Jianxin Li 002; Lihong Wang (CoRR, 2018)

FluteDB: An efficient and scalable in-memory time series database for sensor-cloud. - Chen Li 046; Bo Li 005; Md. Zakirul Alam Bhuiyan; Lihong Wang; Jinghui Si; Guanyu Wei; Jianxin Li 002 (J. Parallel Distributed Comput., 2018)

Bibliographic Name Disambiguation with Graph Convolutional Network. - Hao Yan 004; Hao Peng 001; Chen Li 046; Jianxin Li 002; Lihong Wang (WISE, 2019)

Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. - Keqin Peng; Wenge Rong; Chen Li 046; Jiahao Hu; Zhang Xiong 001 (ICONIP (3), 2020)

Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. - Xutan Peng; Chenghua Lin; Mark Stevenson 001; Chen Li 046 (CoRR, 2020)

Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang; Philip S. Yu (CoRR, 2020)

Modeling relation paths for knowledge base completion via joint adversarial training. - Chen Li 046; Xutan Peng; Shanghang Zhang; Hao Peng 001; Philip S. Yu; Min He; Linfeng Du; Lihong Wang (Knowl. Based Syst., 2020)

Two-tier Graph Contextual Embedding for Cross-device User Matching. - Hongren Huang; Shu Guo; Chen Li 046; Jiawei Sheng; Lihong Wang; Jianxin Li 002; Jing Liu; Shenghai Zhong (CIKM, 2021)

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. - Chen Li 046; Xutan Peng; Hao Peng 001; Jia Wu 001; Lihong Wang; Philip S. Yu; Jianxin Li 002; Lichao Sun 001 (CIKM, 2021)

Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition. - Jiahao Hu; Yuanxin Ouyang; Chen Li 046; Chuanrui Wang; Wenge Rong; Zhang Xiong 001 (ICANN (5), 2021)

TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. - Chen Li 046; Xutan Peng; Hao Peng 001; Jianxin Li 002; Lihong Wang (IJCAI, 2021)

Multi-level Connection Enhanced Representation Learning for Script Event Prediction. - Lihong Wang; Juwei Yue; Shu Guo; Jiawei Sheng; Qianren Mao; Zhenyu Chen; Shenghai Zhong; Chen Li 046 (WWW, 2021)

Learning graph attention-aware knowledge graph embedding. - Chen Li 046; Xutan Peng; Yuhang Niu; Shanghang Zhang; Hao Peng 001; Chuan Zhou 001; Jianxin Li 002 (Neurocomputing, 2021)

Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. - Jinghui Si; Xutan Peng; Chen Li 046; Haotian Xu; Jianxin Li 002 (ICASSP, 2022)

Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. - Chen Li 046; Jun Bai; Chuanarui Wang; Yuanhao Hu; Wenge Rong; Zhang Xiong 001 (IJCNN, 2022)

Cross-knowledge-graph entity alignment via relation prediction. - Hongren Huang; Chen Li 046; Xutan Peng; Lifang He 001; Shu Guo; Hao Peng 001; Lihong Wang; Jianxin Li 002 (Knowl. Based Syst., 2022)

Understanding Linearity of Cross-Lingual Word Embedding Mappings. - Xutan Peng; Mark Stevenson 001; Chenghua Lin; Chen Li 046 (Trans. Mach. Learn. Res., 2022)

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. - Chen Li 046; Hao Peng 001; Jianxin Li 002; Lichao Sun 001; Lingjuan Lyu; Lihong Wang; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 2023)

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. - Jun Bai; Xiaofeng Zhang 004; Chen Li 046; Hanhua Hong; Xi Xu; Chenghua Lin; Wenge Rong (EMNLP (Findings), 2023)

Permutation Invariant Training for Paraphrase Identification. - Jun Bai; Chuantao Yin; Hanhua Hong; Jianfei Zhang 003; Chen Li 046; Yanmeng Wang; Wenge Rong (ICASSP, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

TagGPT: Large Language Models are Zero-shot Multimodal Taggers. - Chen Li 046; Yixiao Ge; Jiayong Mao; Dian Li; Ying Shan (CoRR, 2023)

PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas. - Chen Li 046; Xutan Peng; Teng Wang; Yixiao Ge; Mengyang Liu; Xuyuan Xu; Yexin Wang; Ying Shan (CoRR, 2023)

One For All: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Ying Shan; Thomas H. Li; Ge Li 002 (CoRR, 2023)

Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples. - Bo Zhao; Jun Bai; Chen Li 046; Jianfei Zhang 003; Wenge Rong; Yuanxin Ouyang; Zhang Xiong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. - Ruyang Liu; Chen Li 046; Yixiao Ge; Thomas H. Li; Ying Shan; Ge Li 002 (CVPR, 2024)

ST-LLM: Large Language Models Are Effective Temporal Learners. - Ruyang Liu; Chen Li 046; Haoran Tang; Yixiao Ge; Ying Shan; Ge Li 002 (ECCV (57), 2024)

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. - Jun Bai; Zhuofan Chen; Zhenzi Li; Hanhua Hong; Jianfei Zhang 003; Chen Li 046; Chenghua Lin; Wenge Rong (EMNLP, 2024)

Making LLaMA SEE and Draw with SEED Tokenizer. - Yuying Ge; Sijie Zhao; Ziyun Zeng; Yixiao Ge; Chen Li 046; Xintao Wang 002; Ying Shan (ICLR, 2024)

SACL: Siamese Adaptive Contrastive Learning for Recommendation. - Shikang Bao; Zhuang Liu 004; Chen Li 046; Jianfei Zhang 003; Guanming Chen; Yuanxin Ouyang; Wenge Rong (IJCNN, 2024)

Generative Spoken Language Modeling with Quantized Feature Enhancement. - Feiyu Duan; Chen Li 046; Keheng Wang; Si Wu; Chuantao Yin; Wenge Rong (IJCNN, 2024)

TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval. - Zhenzi Li; Jun Bai; Zhuofan Chen; Chen Li 046; Yuanxin Ouyang; Wenge Rong (IJCNN, 2024)

Addressing Over-Squashing in GNNs with Graph Rewiring and Ordered Neurons. - Hao Li; Chen Li 046; Jianfei Zhang 003; Yuanxin Ouyang; Wenge Rong (IJCNN, 2024)

Optimization Strategies for Knowledge Graph Based Distractor Generation. - Yingshuang Guo; Jianfei Zhang 003; Junjie Dong; Chen Li 046; Yuanxin Ouyang; Wenge Rong (KSEM (1), 2024)

Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. - Zhiwei Sun; Jun Bai; Zhenzi Li; Chen Li 046; Wenge Rong; Yuanxin Ouyang; Zhang Xiong 001 (KSEM (2), 2024)

Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection. - Junhao Xue; Chuantao Yin; Chen Li 046; Jun Bai; Hui Chen 002; Wenge Rong (KSEM (3), 2024)

Privacy-preserving graph publishing with disentangled variational information bottleneck. - Liya Ma; Chen Li 046; Siqi Sun; Shu Guo; Lihong Wang; Jianxin Li 002 (Concurr. Comput. Pract. Exp., 2024)

SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. - Yuying Ge; Sijie Zhao; Jinguo Zhu; Yixiao Ge; Kun Yi; Lin Song 002; Chen Li 046; Xiaohan Ding; Ying Shan (CoRR, 2024)

SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing. - Yuying Ge; Sijie Zhao; Chen Li 046; Yixiao Ge; Ying Shan (CoRR, 2024)

PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. - Kunquan Deng; Zeyu Huang; Chen Li 046; Chenghua Lin; Min Gao 001; Wenge Rong (CoRR, 2024)

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance. - Ruyang Liu; Haoran Tang; Haibo Liu; Yixiao Ge; Ying Shan; Chen Li 046; Jiankun Yang (CoRR, 2024)

Vision-Language Instruction Tuning: A Review and Analysis. - Chen Li 046; Yixiao Ge; Dian Li; Ying Shan (Trans. Mach. Learn. Res., 2024)

Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. - Shenghai Zhong; Shu Guo; Jing Liu; Hongren Huang; Lihong Wang; Jianxin Li 002; Chen Li 046; Yiming Hei (ACM Trans. Intell. Syst. Technol., 2024)

A novel coarse-grained knowledge graph embedding framework for platform risk identification from relational data. - Qi Zhang; Shicheng Wang; Lihong Wang; Jiawei Sheng; Shu Guo; Chen Li 046; Min He; Renqiang Zhang (Neural Comput. Appl., 2025)

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts. - Yuying Ge; Yixiao Ge; Chen Li 046; Teng Wang; Junfu Pu; Yizhuo Li 001; Lu Qiu; Jin Ma 003; Lisheng Duan; Xinyu Zuo; Jinwen Luo; Weibo Gu; et al. (CoRR, 2025)

Selecting text classification model through maximizing posterior evidence over informative sub-space. - Zhiwei Sun; Jun Bai; Zhuofan Chen; Chen Li 046; Wenge Rong; Zhang Xiong 001 (Frontiers Comput. Sci., 2025)