2022:
[1] Jun Kong, Jin Wang, Liang-Chih Yu and Xuejie Zhang, "Accelerating Inference for Pretrained Language Models by Unified Multi-Perspective Early Exiting", in Proceedings of the 29th International Conference on Computational Linguistics (COLING-2022), Gyeongju, Republic of Korea, to be appeared.
[2] Xinge Ma, Jin Wang, Liang-Chih Yu and Xuejie Zhang, "Knowledge Distillation with Reptile Meta-Learning for Pretrained Language Model Compression", in Proceedings of the 29th International Conference on Computational Linguistics (COLING-2022), Gyeongju, Republic of Korea, to be appeared.
[3] Zhewen Yu, Jin Wang, Liang-Chih Yu and Xuejie Zhang, "Dual-Encoder Transformers with Cross-modal Alignment for Multimodal Aspect-based Sentiment Analysis", in Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP-2022), Taipei, Taiwan, to be appeared.
[4] Xingyu Zhu, Jin Wang, and Xuejie Zhang, "An Enhanced Key-utterance Interactive Model with Decoupled Auxiliary Tasks for Multi-party Dialogue Reading Comprehension", in Proceedings of IJCNN at IEEE WCCI 2022, to be appeared.
[5] Fulai Nan, Jin Wang, and Xuejie Zhang, "An On-Device Machine Reading Comprehension Model with Adaptive Fast Inference", in Proceedings of the 11th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2022), to be appeared.
2021:
[1] You Zhang, Jin Wang, Liang-Chih Yu and Xuejie Zhang, "MA-BERT: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers", in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 2338–2343.
[2] Jun Kong, Jin Wang and Xuejie Zhang, "Accelerating Pretrained Language Model Inference Using Weighted Ensemble Self-Distillation", in Proceedings of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2021), LNAI 13028, pp. 224–235, 2021.
[3] Ruijun Chen, Jin Wang and Xuejie Zhang, "Variational Autoencoder with Interactive Attention for Affective Text Generation", in Proceedings of the 10th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC-2021), NLPCC 2021, LNAI 13029, pp. 111–123, 2021.
2020:
[1] Li Yuan, Jin Wang, Liang-Chih Yu and Xuejie Zhang, "Graph Attention Network with Memory Fusion for Aspect-level Sentiment Analysis", in Proc. of The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing (AACL-IJCNLP-2020), pages 27-36. 2020.
2019:
[1] Jin Wang, Liang-Chih Yu, K. Robert Lai and Xuejie Zhang, "Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis," in Proc. of the Conference on Empirical Methods in Natural Language Processing & International Joint Conference on Natural Language Processing (EMNLP-IJCNLP-19), pages 3423-3428, Hong Kong, China, November 3–7, 2019.
[2] Dawei Li, Jin Wang and Xuejie Zhang, "CIEA: A Corpus for Chinese Implicit Emotion Analysis," in Proc. of the 2019 International Conference on Asian Language Processing (IALP-2019), pages 90-95, 2019.
[3] Yi Zhao, Jin Wang and Xuejie Zhang, "Research on Cross-lingual Machine Reading Comprehension Technology Based on Non-parallel Corpus", in Proc. of the 6 th International Conference on Artificial Intelligence and Security (ICAIS-2020), vol 1252, 2020.
2018:
[1] Liang-Chih Yu, Jin Wang, K. Robert Lai and Xuejie Zhang, "Refining Word Embeddings for Sentiment Analysis," in Proc. of the Conference on Empirical Methods in Natural Language Processing (EMNLP-17), pages 545–550, Copenhagen, Denmark, September 9 - 11, 2017.
2017：
[1] Zhang X L, Li W D, Liu X, Zhang X J*. A Profit-Maximum Resource Allocation Approach for Mapreduce in Data Centers [C]. //International Conference on Green, Pervasive, and Cloud Computing. Springer, Cham, 2017: 460-474.
[2] Li W D, Liu X, Zhang X L, Zhang X J. A Further Analysis of the Dynamic Dominant Resource Fairness Mechanism [M]. Frontiers in Algorithmics. Springer International Publishing, 2017, vol 10336.
[3] Zhang H W, Wang J, Zhang J X, Zhang X J*. YNU-HPCC at SemEval 2017 Task 4: Using A Multi-Channel CNN-LSTM Model for Sentiment Classification[C]. In Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017), pages 787–792, 2017.
2016:
[1] Wang J, Yu L C, Lai K R, Zhang X J. Dimensional Sentiment Analysis Using a Regional CNN-LSTM Model[C]. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-16), 2016.
[2] Yu L C, Lee L H, Hao S, Wang J, He Y C, Hu J, Lai K R, Zhang X J. Building Chinese Affective Resources in Valence-Arousal Dimensions[C], In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL/HLT-16), 2016.
[3] Peng B, Yang J N, Yang X T, Xu D, Zhang X J*. A comparison of approaches to affective rating of Chinese words on valence-arousal space[C]. In Proceedings of the 2016 International Conference on Asian Language Processing (IALP-2016), pages 320-323, 2016.
[4] Yang J N, Peng B, Wang J, Zhang J X, Zhang X J*. Chinese grammatical error diagnosis using single word embedding[C]. In Proceedings of the 3rd Workshop on Natural Language Processing Techniques for Educational Applications (NLPTEA-16), pages 155-161, 2016.
2015:
[1] Yu L C, Wang J, Lai K R, Zhang X J. Predicting Valence-Arousal Ratings of Words Using a Weighted Graph Method[C]. In Proceedings of the 53th Annual Meeting of the Association for Computational Linguistics (ACL-15), 2015:788-793.
[2] Li W D, Liu X, Zhang X J*, Cai X B. A Task-Type-Based Algorithm for the Energy-Aware Profit Maximizing Scheduling Problem in Heterogeneous Computing Systems[C]. In Proceedings of the 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2015: 1107-1110.
[3] Wang J, Lai K R, Yu L C, Zhang X J*. A locally weighted method to improve linear regression for lexical-based valence-arousal prediction[C].In Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), 2015: 415-420.
[4] Gao Y, Zhou H, Yuan G W, Zhang X J*. Compressive Tracking Based on Particle Filter[M]. Computer Vision. Springer Berlin Heidelberg, 2015: 220-229.
[5] Liu X, Zhang X L, Zhang X J*, Li W D. Dynamic Fair Division of Multiple Resources with Satiable Agents in Cloud Computing Systems[C]. In Proceedings of the 2015 IEEE Fifth International Conference on Big Data and Cloud Computing (BDCloud), 2015: 131-136.
[6] Li Guan, Li J P, Zhang X J*, Li W D. The Directed Ring Loading with Penalty Cost[M]. WALCOM: Algorithms and Computation. Springer International Publishing, 2015: 20-31.
2014:
[1] Li W D, Li J P, Zhang X J, Chen Z B. Parallel-machine scheduling problem under the job rejection constraint [M]. Frontiers in Algorithmics. Springer International Publishing, 2014: 158-169.
