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Xin Lin
Publications
- 2023
- [c135]Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He:
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI 2023: 13255-13263 - [c132]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) 2023: 2841-2858 - [c131]Jianglin Jin, Jiabo Ye, Xin Lin, Liang He:
Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation. ICASSP 2023: 1-5 - [i24]Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He:
A Review on Machine Theory of Mind. CoRR abs/2303.11594 (2023) - [i20]Peng Zhang, Xin Li, Liang He, Xin Lin:
3D Multiple Object Tracking on Autonomous Driving: A Literature Review. CoRR abs/2309.15411 (2023) - 2022
- [j67]Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He:
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network. Knowl. Based Syst. 235: 107579 (2022) - [c120]Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin:
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CVPR 2022: 15481-15491 - [c117]Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He:
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization. EMNLP 2022: 1096-1106 - [i16]Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin:
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CoRR abs/2203.15442 (2022) - 2021
- [j42]Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He:
Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. 77(9): 9474-9493 (2021) - [c104]Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He:
Looking Wider for Better Adaptive Representation in Few-Shot Learning. AAAI 2021: 10981-10989 - [c98]Jiabao Zhao, Xin Lin, Yifan Yang, Jing Yang, Liang He:
Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. ICASSP 2021: 4295-4299 - [c97]Zijing Yang, Xin Lin, Linlin Wang, Liang He, Yixin Chen, Zhaohui Yang:
Employer-Employee Network for Conversational Recommendation. IJCNN 2021: 1-8 - [c94]Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen:
One-Stage Visual Grounding via Semantic-Aware Feature Filter. ACM Multimedia 2021: 1702-1711 - [c92]Pingsheng Liu, Linlin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He:
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 183-188 - [i12]Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He:
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network. CoRR abs/2110.03276 (2021) - 2020
- [j37]Zhefan Zhong, Xin Lin, Liang He:
Answering range-based reverse kNN and why-not reverse kNN queries. Frontiers Comput. Sci. 14(1): 233-235 (2020) - [c84]Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He:
Optimizing Knowledge Graphs through Voting-based User Feedback. ICDE 2020: 421-432 - [c83]Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang:
Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME 2020: 1-6 - [c80]Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. SemEval@COLING 2020: 401-410 - [i10]Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. CoRR abs/2007.14200 (2020) - 2019
- [j32]Zhefan Zhong, Xin Lin, Liang He, Jing Yang:
Answering why-not questions on KNN queries. Frontiers Comput. Sci. 13(5): 1062-1071 (2019) - [j29]Yongcheng Wu, Xin Lin, Yan Yang, Liang He:
Cleaning uncertain graphs via noisy crowdsourcing. World Wide Web 22(4): 1523-1553 (2019) - [c76]Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He:
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. CIKM 2019: 1021-1030 - 2018
- [c67]Zhefan Zhong, Xin Lin, Liang He, Yan Yang:
Answering Range-Based Reverse kNN Queries. APWeb/WAIM (2) 2018: 368-376 - [c66]Yu Jiang, Yuling Sun, Jing Yang, Xin Lin, Liang He:
Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing. GROUP 2018: 12-21 - [c65]Bo Zheng, Xin Lin, Yanghua Xiao, Jing Yang, Liang He:
An Effective Method for Identifying Unknown Unknowns with Noisy Oracle. ICCBR 2018: 480-495 - 2017
- [c52]Mengjun Ni, Jing Yang, Xin Lin, Liang He:
Reducing Unknown Unknowns with Guidance in Image Caption. ICANN (2) 2017: 547-555 - 2014
- [c35]Qiang Li, Liang He, Xin Lin:
Improved categorical distribution difference feature selection for Chinese document categorization. ICUIMC 2014: 102:1-102:7 - 2013
- [c29]Qiang Li, Liang He, Xin Lin:
Dimension reduction based on categorical fuzzy correlation degree for document categorization. GrC 2013: 186-190 - [c25]Qiang Li, Liang He, Xin Lin:
Categorical term frequency probability based feature selection for document categorization. SoCPaR 2013: 66-71 - 2012
- [c23]Chao Chen, Liang He, Xin Lin:
REV: extracting entity relations from world wide web. ICUIMC 2012: 8:1-8:5
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