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Chen Li 0046
Person information
- affiliation: Beihang University, Beijing Advanced Innovation Center for Big Data and Brain Computing, State Key Laboratory of Software Development Environment, Beijing, China
Other persons with the same name
- Chen Li — disambiguation page
- Chen Li 0001 — University of California, Irvine, CA, USA
- Chen Li 0002 — South China University of Technology, Guangzhou, China
- Chen Li 0003 — New York University, Courant Institute of Mathematical Sciences, New York, NY, USA
- Chen Li 0004 — Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA (and 1 more)
- Chen Li 0005 — Beijing Information Technology Institute, Beijing, China
- Chen Li 0006 — School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China
- Chen Li 0007 — Zhejiang University School of Medicine, Department of Cell Biology and Medical Genetics, Hangzhou, China (and 2 more)
- Chen Li 0008 — Dublin City University, Dublin, Ireland
- Chen Li 0009 — Aalborg University, Department of Materials and Production, Aalborg, Denmark (and 2 more)
- Chen Li 0010 — Xi'an Jiaotong University, Institute of Synthetic Automation
- Chen Li 0011 — Xi'an Jiaotong University, School of Computer Science and Technology, National Engineering Lab for Big Data Analytics, Xi'an, China (and 2 more)
- Chen Li 0012 — University of Twente, Enschede, Netherlands
- Chen Li 0013 — Microsoft, Bellevue, WA, USA (and 1 more)
- Chen Li 0014 — Shanghai Integrated Circuit R&D Center (and 1 more)
- Chen Li 0015 (aka: Li Chen 0023) — National University of Defense Technology, Changsha, China
- Chen Li 0016 — La Trobe University
- Chen Li 0017 — Johns Hopkins University, Baltimore, MD, USA (and 2 more)
- Chen Li 0018 — Vanderbilt University, Department of Biomedical Engineering
- Chen Li 0019 — Xidian University, State Key Lab of Integrated Service Network, Xi'an, China
- Chen Li 0020 — Hunan University
- Chen Li 0021 — Monash University, Department of Microbiology, Melbourne, Australia
- Chen Li 0022 — Northeastern University, Microscopic Image and Medical Image Analysis, Shenyang, China (and 1 more)
- Chen Li 0023 (aka: Richard Chen Li) — Hong Kong Polytechnic University (and 1 more)
- Chen Li 0024 — Harbin Engineering University, College of Information and Communication Engineering, China
- Chen Li 0025 — North China University of Technology, School of Computer Science, Beijing, China
- Chen Li 0026 — University of Nottingham, Power Electronics, Machines and Control Group, UK
- Chen Li 0027 — Nagoya University, Graduate School of Informatics, Japan (and 1 more)
- Chen Li 0029 — Zhejiang University of Technology, School of Computer Science and Technology, Hangzhou, China
- Chen Li 0030 — Northwest University, School of Information Science and Technology, Xian, China
- Chen Li 0031 — Zhejiang University, State Key Lab of CAD&CG, Zhejiang, China
- Chen Li 0033 — Xi'an Jiaotong University, School of Software Engineering, Xi'an, China
- Chen Li 0034 — National University of Defense Technology, Changsha, China
- Chen Li 0035 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Chen Li 0036 — North University of China, Science and Technology on Electronic Test and Measurement Laboratory, Taiyuan, China
- Chen Li 0037 — Tencent AI Lab
- Chen Li 0038 — National University of Singapore, Computer Science Department, Singapore
- Chen Li 0039 — University of California, Irvine, CA, USA
- Chen Li 0040 — University of New South Wales, Sydney, Australia
- Chen Li 0041 — Xi'an Jiaotong University, State Key Laboratory for Manufacturing Systems Engineering, Xi'an, China
- Chen Li 0042 — ByteDance AI-Lab, Beijing, China
- Chen Li 0043 — New York University, Tandon School of Engineering, Department of Electrical and Computer Engineering, Brooklyn, NY, USA
- Chen Li 0044 — Ayar Labs, Emeryville, CA, USA (and 1 more)
- Chen Li 0045 — Stony Brook University, NY, USA
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2020 – today
- 2024
- [j10]Liya Ma, Chen Li, Siqi Sun, Shu Guo, Lihong Wang, Jianxin Li:
Privacy-preserving graph publishing with disentangled variational information bottleneck. Concurr. Comput. Pract. Exp. 36(10) (2024) - [j9]Shenghai Zhong, Shu Guo, Jing Liu, Hongren Huang, Lihong Wang, Jianxin Li, Chen Li, Yiming Hei:
Self-supervised Bipartite Graph Representation Learning: A Dirichlet Max-margin Matrix Factorization Approach. ACM Trans. Intell. Syst. Technol. 15(3): 53:1-53:24 (2024) - [j8]Chen Li, Yixiao Ge, Dian Li, Ying Shan:
Vision-Language Instruction Tuning: A Review and Analysis. Trans. Mach. Learn. Res. 2024 (2024) - [c26]Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li:
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. CVPR 2024: 13658-13667 - [c25]Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li:
ST-LLM: Large Language Models Are Effective Temporal Learners. ECCV (57) 2024: 1-18 - [c24]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. EMNLP 2024: 12356-12374 - [c23]Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao Wang, Ying Shan:
Making LLaMA SEE and Draw with SEED Tokenizer. ICLR 2024 - [c22]Shikang Bao, Zhuang Liu, Chen Li, Jianfei Zhang, Guanming Chen, Yuanxin Ouyang, Wenge Rong:
SACL: Siamese Adaptive Contrastive Learning for Recommendation. IJCNN 2024: 1-8 - [c21]Feiyu Duan, Chen Li, Keheng Wang, Si Wu, Chuantao Yin, Wenge Rong:
Generative Spoken Language Modeling with Quantized Feature Enhancement. IJCNN 2024: 1-8 - [c20]Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong:
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval. IJCNN 2024: 1-8 - [c19]Hao Li, Chen Li, Jianfei Zhang, Yuanxin Ouyang, Wenge Rong:
Addressing Over-Squashing in GNNs with Graph Rewiring and Ordered Neurons. IJCNN 2024: 1-8 - [c18]Yingshuang Guo, Jianfei Zhang, Junjie Dong, Chen Li, Yuanxin Ouyang, Wenge Rong:
Optimization Strategies for Knowledge Graph Based Distractor Generation. KSEM (1) 2024: 189-200 - [c17]Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. KSEM (2) 2024: 229-240 - [c16]Junhao Xue, Chuantao Yin, Chen Li, Jun Bai, Hui Chen, Wenge Rong:
Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection. KSEM (3) 2024: 312-323 - [i17]Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li:
ST-LLM: Large Language Models Are Effective Temporal Learners. CoRR abs/2404.00308 (2024) - [i16]Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan:
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR abs/2404.14396 (2024) - [i15]Yuying Ge, Sijie Zhao, Chen Li, Yixiao Ge, Ying Shan:
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing. CoRR abs/2405.04007 (2024) - [i14]Kunquan Deng, Zeyu Huang, Chen Li, Chenghua Lin, Min Gao, Wenge Rong:
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models. CoRR abs/2407.00488 (2024) - [i13]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. CoRR abs/2409.16198 (2024) - 2023
- [j7]Bo Zhao, Jun Bai, Chen Li, Jianfei Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2933-2944 (2023) - [c15]Jiawei Sheng, Xin Cong, Jiangxia Cao, Shu Guo, Chen Li, Lihong Wang, Tingwen Liu, Hongbo Xu:
Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. ECAI 2023: 2129-2137 - [c14]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. EMNLP (Findings) 2023: 5369-5382 - [c13]Jun Bai, Chuantao Yin, Hanhua Hong, Jianfei Zhang, Chen Li, Yanmeng Wang, Wenge Rong:
Permutation Invariant Training for Paraphrase Identification. ICASSP 2023: 1-5 - [i12]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i11]Chen Li, Yixiao Ge, Jiayong Mao, Dian Li, Ying Shan:
TagGPT: Large Language Models are Zero-shot Multimodal Taggers. CoRR abs/2304.03022 (2023) - [i10]Chen Li, Xutan Peng, Teng Wang, Yixiao Ge, Mengyang Liu, Xuyuan Xu, Yexin Wang, Ying Shan:
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television Dramas. CoRR abs/2306.14644 (2023) - [i9]Ruyang Liu, Chen Li, Yixiao Ge, Ying Shan, Thomas H. Li, Ge Li:
One For All: Video Conversation is Feasible Without Video Instruction Tuning. CoRR abs/2309.15785 (2023) - [i8]Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao Wang, Ying Shan:
Making LLaMA SEE and Draw with SEED Tokenizer. CoRR abs/2310.01218 (2023) - [i7]Chen Li, Yixiao Ge, Dian Li, Ying Shan:
Vision-Language Instruction Tuning: A Review and Analysis. CoRR abs/2311.08172 (2023) - [i6]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. CoRR abs/2312.04775 (2023) - 2022
- [j6]Hongren Huang, Chen Li, Xutan Peng, Lifang He, Shu Guo, Hao Peng, Lihong Wang, Jianxin Li:
Cross-knowledge-graph entity alignment via relation prediction. Knowl. Based Syst. 240: 107813 (2022) - [j5]Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li:
Understanding Linearity of Cross-Lingual Word Embedding Mappings. Trans. Mach. Learn. Res. 2022 (2022) - [j4]Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022) - [c12]Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li:
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework That Works. ICASSP 2022: 6342-6346 - [c11]Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong:
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. IJCNN 2022: 1-8 - 2021
- [j3]Chen Li, Xutan Peng, Yuhang Niu, Shanghang Zhang, Hao Peng, Chuan Zhou, Jianxin Li:
Learning graph attention-aware knowledge graph embedding. Neurocomputing 461: 516-529 (2021) - [c10]Hongren Huang, Shu Guo, Chen Li, Jiawei Sheng, Lihong Wang, Jianxin Li, Jing Liu, Shenghai Zhong:
Two-tier Graph Contextual Embedding for Cross-device User Matching. CIKM 2021: 730-739 - [c9]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c8]Jiahao Hu, Yuanxin Ouyang, Chen Li, Chuanrui Wang, Wenge Rong, Zhang Xiong:
Hierarchical Lexicon Embedding Architecture for Chinese Named Entity Recognition. ICANN (5) 2021: 345-356 - [c7]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang:
TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. IJCAI 2021: 2680-2686 - [c6]Lihong Wang, Juwei Yue, Shu Guo, Jiawei Sheng, Qianren Mao, Zhenyu Chen, Shenghai Zhong, Chen Li:
Multi-level Connection Enhanced Representation Learning for Script Event Prediction. WWW 2021: 3524-3533 - [i5]Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, Jianxin Li:
Generating Disentangled Arguments with Prompts: A Simple Event Extraction Framework that Works. CoRR abs/2110.04525 (2021) - 2020
- [j2]Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang:
Modeling relation paths for knowledge base completion via joint adversarial training. Knowl. Based Syst. 201-202: 105865 (2020) - [c5]Keqin Peng, Wenge Rong, Chen Li, Jiahao Hu, Zhang Xiong:
Weight Aware Feature Enriched Biomedical Lexical Answer Type Prediction. ICONIP (3) 2020: 63-75 - [i4]Xutan Peng, Chenghua Lin, Mark Stevenson, Chen Li:
Revisiting the linearity in cross-lingual embedding mappings: from a perspective of word analogies. CoRR abs/2004.01079 (2020) - [i3]Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang, Philip S. Yu:
Forming an Electoral College for a Graph: a Heuristic Semi-supervised Learning Framework. CoRR abs/2006.06469 (2020)
2010 – 2019
- 2019
- [c4]Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang:
Bibliographic Name Disambiguation with Graph Convolutional Network. WISE 2019: 538-551 - 2018
- [j1]Chen Li, Bo Li, Md. Zakirul Alam Bhuiyan, Lihong Wang, Jinghui Si, Guanyu Wei, Jianxin Li:
FluteDB: An efficient and scalable in-memory time series database for sensor-cloud. J. Parallel Distributed Comput. 122: 95-108 (2018) - [c3]Chen Li, Jianxin Li, Yangqiu Song, Ziwei Lin:
Training and Evaluating Improved Dependency-Based Word Embeddings. AAAI 2018: 5836-5843 - [c2]Tian Lan, Chen Li, Jianxin Li:
Mining Semantic Variation in Time Series for Rumor Detection Via Recurrent Neural Networks. HPCC/SmartCity/DSS 2018: 282-289 - [i2]Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, Jianxin Li:
A Lightweight Music Texture Transfer System. CoRR abs/1810.01248 (2018) - [i1]Chen Li, Xutan Peng, Shanghang Zhang, Jianxin Li, Lihong Wang:
Hierarchical Attention Networks for Knowledge Base Completion via Joint Adversarial Training. CoRR abs/1810.06033 (2018) - 2017
- [c1]Chen Li, Jianxin Li, Jinghui Si, Yangyang Zhang:
FluteDB: An Efficient and Dependable Time-Series Database Storage Engine. SpaCCS Workshops 2017: 446-456
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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