Publication
[127] Yang Li, Qiao Zhao, Chen Lin, Jinsong Su, and Zhilin Zhang. 2024. Who To Align With: Feedback-Oriented Multi-Modal Alignment in Recommendation Systems. In Proc. of SIGIR2024. (CCF-A)
[126] Yang Li, Qiao Zhao, Chen Lin, Zhenjie Zhang, Xiaomin Zhu, and Jinsong Su. 2024. GENET: Unleashing the Power of Side Information for Recommendation via Hypergraph Pre-training. In Proc. of DASFAA2024, Short Paper.
[125] Weijun Xu, Fan Gao, Jinsong Su, Qingqiang Wu, and Meihong Wang. 2024. Dual-view Enhanced Knowledge Contrastive Learning for Recommendation. In Proc. of DASFAA2024, Short Paper.
[124] Honghao Fu, Liang Zhang, Biao Fu, Rui Zhao, Jinsong Su, Xiaodong Shi, and Yidong Chen. 2024. Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation. In Proc. of NAACL24. (CCF-B)
[123] Feiyan Liu, Xiaoli Wang, and Jinsong Su. 2024. MHGRL: An Effective Representation Learning Model for Electronic Health Records. In Proc. of COLING24. (CCF-B)
[122] Zhongquan Jian, Ante Wang, Jinsong Su, Junfeng Yao, Meihong Wu, and Qingqiang Wu. 2024. Emotrans: Emotional Transition-based Model for Emotion Recognition in Conversation. In Proc. of COLING24. (CCF-B)
[121] Jianheng Huang+, Ante Wang+, Linfeng Gao, Linfeng Song, and Jinsong Su*. 2024. Response Enhanced Semi-supervised Dialogue Query Generation. In Proc. of AAAI 2024. (CCF-A)
[120] Rui Zhao, Liang Zhang, Biao Fu, Cong Hu, Jinsong Su, and Yidong Chen. 2024. Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment. In Proc. of AAAI 2024. (CCF-A)
[119] Zhongjian Miao, Wen Zhang, Jinsong Su*, Xiang Li, Jian Luan, Yidong Chen*, Bin Wang, and Min Zhang. 2023. Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. In Proc. of EMNLP 2023. (CCF-B)
[118] Ante Wang, Linfeng Song, Ge Xu, and Jinsong Su*. 2023. Domain Adaptation for Conversational Query Production with the RAG Model Feedback. In Proc. of EMNLP 2023 Findings.
[117] Xiaoyue Wang+, Xin Liu+, Wang Lijie, Yaoxiang Wang, and Jinsong Su*, Hua Wu. 2023. IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models. In Proc. of EMNLP 2023. (CCF-B)
[116] Junpeng Liu, Kaiyu Huang, Hao Yu, Jiuyi Li, Jinsong Su, and Degen Huang. 2023. Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division. In Proc. of EMNLP 2023. (CCF-B)
[115] Liang Zhang+, Chulun Zhou+, Fandong Meng, Jinsong Su*, Yidong Chen*, and Jie Zhou. HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. In Proc. of EMNLP 2023. (CCF-B)
[114] Zefeng Wang, Junfeng Yao, Meiyan Xu, Min Jiang, and Jinsong Su. 2023. Transformer-based Network with Temporal Depthwise Convolutions for sEMG Recognition. Pattern Recognition. (CCF-B)
[113] Ante Wang, Linfeng Song, Lifeng Jin, Junfeng Yao, Haitao Mi, Chen Lin, Jinsong Su*, and Dong Yu. 2023. D2PSG: Multi-Party Dialogue Discourse Parsing as Sequence Generation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[112] Yifan Dong+, Suhang Wu+, Fandong Meng, Jie Zhou, Xiaoli Wang, Jianxin Lin, and Jinsong Su*. 2023. Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise Filtering. In Proc. of ACM MM 2023. (CCF-A).
[111] Yongjing Yin+, Jiali Zeng+, Jinsong Su*, Chulun Zhou, Fandong Meng, Jie Zhou, Degen Huang, and Jiebo Luo. 2023. Multi-modal Graph Contrastive Encoding for Neural Machine Translation. Artificial Intelligence. (CCF-A).
[110] Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang and Jinsong Su*. 2023.Bridging the Domain Gaps in Context Representations for $k$-Nearest Neighbor Neural Machine Translation. In Proc. of ACL 2023. (CCF-A)
[109] Zhibin Lan+, Jiawei Yu+, Xiang Li, Wen Zhang, Jian Luan, Bin Wang, Degen Huang and Jinsong Su*. 2023. Exploring Better Text Image Translation with Multimodal Codebook. In Proc. of ACL 2023. (CCF-A)
[108] Tong Li+, Zhihao Wang+, Liangying Shao, Xuling Zheng, Xiaoli Wang and Jinsong Su*. 2023. A Sequence-to-Sequence&Set Model for Text-to-Table Generation. In Proc. of ACL 2023 Findings.
[107] Liyan Kang+, Luyang Huang+, Ningxin Peng, Peihao Zhu, Zewei Sun, Shanbo Cheng, Mingxuan Wang, Degen Huang and Jinsong Su*. 2023. BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation. In Proc. of ACL 2023 Findings.
[106] Zhihao Wang+, Longyue Wang+, Jinsong Su*, Junfeng Yao and Zhaopeng Tu. 2023. Revisiting Non-Autoregressive Translation at Scale. In Proc. of ACL 2023 Findings.
[105] Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su and Jie Zhou. 2023. RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. In Proc. of ACL 2023 Findings.
[104] Liang Zhang+, Zijun Min+, Jinsong Su*, Pei Yu, Ante Wang, and Yidong Chen*. 2023. Exploring Effective Inter-encoder Semantic Interaction for Document-Level Relation Extraction. In Proc. of IJCAI 2023. (CCF-A)
[103] Binbin Xie+, Jia Song+, Liangying Shao+, Suhang Wu, Xiangpeng Wei, Baosong Yang, Huan Lin, Jun Xie, and Jinsong Su*. 2023. From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey. Information Processing and Management. (CCF-B)
[102] Zhibin Lan, Wei Li, Jinsong Su*, Xinyan Xiao, Jiachen Liu, Wenhao Wu, Yajuan Lyu. 2023. FactGen: Faithful Text Generation by Factuality-aware Pre-training and Contrastive Ranking Fine-tuning. Journal of Artificial Intelligence Research. (CCF-B)
[101] Linfeng Song+, Ante Wang+, Xiaoman Pan, Hongming Zhang, Dian Yu, Lifeng Jin, Haitao Mi, Jinsong Su, Yue Zhang and Dong Yu. 2023. OpenFact: Factuality Enhanced Open Knowledge Extraction. Transactions of the Association for Computational Linguistics. (CCF-B)
[100] Ante Wang+, Linfeng Song+, Qi Liu, Longyue Wang, Zhaopeng Tu, Jinsong Su*, Dong Yu. 2023. Search-Engine-augmented Dialogue Response Generation with Cheaply Supervised Query Production. Artificial Intelligence. (CCF-A)
[99] Chulun Zhou+, Yunlong Liang+, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang and Jinsong Su*. 2023. A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A)
[98] Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Chenxi Huang, and Xiangxiang Zeng. 2023. LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning. In Proc. of AAAI 2023. (CCF-A)
[97] Liang Zhang, Jinsong Su*, Zijun Min, Zhongjian Miao, Qingguo Hu, Biao Fu, Xiaodong Shi, and Yidong Chen*. 2023. Exploring Self-distillation based Relational Reasoning Training for Document-level Relation Extraction. In Proc. of AAAI 2023. (CCF-A)
[96] Zijia Wang, Xiangyu He, Kehan Chen, Chen Lin, and Jinsong Su. 2023. Code-Aware Cross-Program Transfer Hyperparameter Optimization. In Proc. of AAAI 2023. (CCF-A)
[95] Zhe Hu+, Zhiwei Cao+, HouPong Chan, Jiachen Liu, Xinyan Xiao, Jinsong Su*, and Hua Wu. 2022. Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[94] Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, JIan Guo and Nan Duan. 2022. Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. In Proc. of EMNLP 2022. (CCF-B)
[93] Junpeng Liu, Kaiyu Huang, Jiuyi Li, Huan Liu, Jinsong Su and Degen Huang. Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation. In Proc. of EMNLP 2022. (CCF-B)
[92] Han Zhang, Sheng Zhang, Yang Xiang, Bin Liang, Jinsong Su, Zhongjian Miao, Hui Wang and Ruifeng Xu. 2022. CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation. In Proc. of EMNLP 2022 Findings.
[91] Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang and Jinsong Su*. Towards Robust k-Nearest-Neighbor Machine Translation. In Proc. of EMNLP 2022. (CCF-B)
[90] Binbin Xie, Xiangpeng Wei, Baosong Yang, Huan Lin, Jun Xie, Xiaoli Wang, Min Zhang and Jinsong Su*. 2022. WR-One2Set: Towards Well-Calibrated Keyphrase Generation. In Proc. of EMNLP 2022. (CCF-B)
[89] Xiaoyue Wang+, Linfeng Song+, Xin Liu, Chulun Zhou, Hualin Zeng and Jinsong Su*, 2022. Getting the Most out of Simile Recognition. In Proc. of EMNLP 2022 Findings.
[88] Liang Zhang+, Jinsong Su+, Yidong Chen, Zhongjian Miao, Zijun Min, Qingguo Hu and Xiaodong Shi. 2022. Towards Better Document-level Relation Extraction via Iterative Inference. In Proc. of EMNLP 2022. (CCF-B)
[87] Biao Zhang, Deyi Xiong, Yubin Ge, Junfeng Yao, Hao Yue, Jinsong Su*. 2022. AAN+: Generalized Average Attention Network for Accelerating Neural Transformer. Journal of Artificial Intelligence Research. (CCF-B)
[86] Zhongjian Miao, Xiang Li, Liyan Kang, Wen Zhang, Chulun Zhou, Yidong Chen*, Bin Wang, Min Zhang and Jinsong Su*. 2022. Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training. In Proc. of COLING 2022. (CCF-B)
[85] Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su*. 2022. Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. In Proc. of NAACL 2022 Findings.
[84] Guipeng Xv, Chen Lin, Hui Li, Jinsong Su, Weiyao Ye and Yewang Chen. 2022. Neutralizing Popularity Bias in Recommendation Models. In Proc. of SIGIR 2022. short paper.
[83] Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou. 2022. A Variational Hierarchical Model for Neural Cross-Lingual Summarization. In Proc. of ACL 2022. (CCF-A)
[82] Shaopeng Lai, Qingyu Zhou, Jiali Zeng, Zhongli Li, Chao Li, Yunbo Cao, Jinsong Su*. 2022. Type-driven Multi-Turn Corrections for Grammatical Error Correction. In Proc. of ACL 2022 Findings.
[81] Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su*. 2022. Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. In Proc. of ACL 2022. (CCF-A)
[80] Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, and Jinsong Su*. 2022. A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. In Proc. of AAAI 2022. (CCF-A)
[79] Xin Liu, Dayiheng Liu, Baosong Yang, Haibo Zhang, Junwei Ding, Wenqing Yao, Weihua Luo, Haiying Zhang, and Jinsong Su*. 2022. KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. In Proc. of AAAI 2022. (CCF-A)
[78] Hui Jiang, Linfeng Song, Yubin Ge, Junfeng Yao, and Jinsong Su*. 2021. An AST Structure Enhanced Decoder for Code Generation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[77] Ziyao Lu, Xiang Li, Yang Liu, Chulun Zhou, Jianwei Cui, Bin Wang, Min Zhang, Jinsong Su*. 2021. Exploring Multi-stage Information Interactions for Multi-source Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[76] Yunlong Liang+, Chulun Zhou+, Fandong Meng, Jinan Xu, Yufeng Chen, Jinsong Su and Jie Zhou. 2021. Towards Making the Most of Dialogue Characteristics for Neural Chat Translation. In Proc. of EMNLP 2021. (CCF-B)
[75] Shaopeng Lai, Ante Wang, Fandong Meng, Jie Zhou, Yubin Ge, Jiali Zeng, Junfeng Yao, Degen Huang and Jinsong Su*. 2021. Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings.In Proc. of EMNLP 2021. (CCF-B)
[74] Linfeng Song, Chunlei Xin, Shaopeng Lai, Ante Wang, Jinsong Su*. Kun Xu and Dong Yu. 2021. CASA: Conversational Aspect Sentiment Analysis for Dialogue Understanding. Journal of Artificial Intelligence Research. (CCF-B)
[73] Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin and Qi Tian. 2021. A Real-time Global Inference Network for One-stage Referring Expression Comprehension. IEEE Transactions on Neural Networks and Learning Systems. (CCF-B)
[72] Hui Jiang+, Chulun Zhou+, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu and Jinsong Su*. 2021. Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. In Proc. of ACL2021. (CCF-A)
[71] Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang and Jinsong Su*. 2021. Towards User-Driven Neural Machine Translation. In Proc. of ACL2021. (CCF-A)
[70] Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang and Jinsong Su*. 2021. Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. In Proc. of ACL2021. (CCF-A)
[69] Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang and Jana Diesner. 2021. BACO: A Background Knowledge- and Content-based Multi-perspective Framework for Citation Text Generation. In Proc. of ACL2021. (CCF-A)
[68] Kaiyu Huang, Junpeng Liu, Degen Huang, Deyi Xiong, Zhuang Liu and Jinsong Su. 2021. Exploiting Chinese Word Segmentation via Pseudo Labels for Practicability. In Proc. of ACL2021 Findings.
[67] Jiali Zeng, Yongjing Yin, Yang Liu, Yubin Ge, Jinsong Su*. 2021. Domain Adaptive Meta-learning for Dialogue State Tracking. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[66] Ante Wang+, Linfeng Song+, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, and Jinsong Su*. 2021. A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues. In Proc. of IJCAI2021. (CCF-A)
[65] Jinsong Su+, Jialong Tang+, Hui Jiang, Ziyao Lu, Yubin Ge, Linfeng Song, Deyi Xiong, Le Sun, and Jiebo Luo. 2021. Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning. Artificial Intelligence. (CCF-A)
[64] Binbin Xie, Jinsong Su*, Xiang Li, Yubin Ge, Jianwei Cui, Junfeng Yao, and Bin Wang. 2021. Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. In Proc. of AAAI2021. (CCF-A)
[63] Jinsong Su, Jinchang Chen, Hui Jiang, Xiangwen Zhang, Chulun Zhou, Huan Lin, Qingqiang Wu, Yongxuan Lai. 2020. Multi-Modal Neural Machine Translation with Deep Semantic Interactions. Information Sciences. (CCF-B)
[62] Zhengyuan Yang, Tushar Kumar, Tianlang Chen, Jinsong Su, Jiebo Luo. 2020. Grounding-Tracking-Integration. IEEE Transactions on Circuits and Systems for Video Technology. (CCF-B)
[61] Yongjing Yin, Shaopeng Lai, Linfeng Song, Chulun Zhou, Xianpei Han, Junfeng Yao, Jinsong Su*. 2020. An External Knowledge Enhanced Graph-based Neural Network for Sentence Ordering. Journal of Artificial Intelligence Research. (CCF-B)
[60] Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao. 2020. K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. In Proc. of ACMMM 2020. (CCF-A)
[59] Gen Luo, Rongrong Ji, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Chia-Wen Lin, Qi Tian. 2020. Cascade Grouped Attention Network for Referring Expression Segmentation. In Proc. of ACMMM 2020. (CCF-A)
[58] Huan Lin, Fandong Meng, Jinsong Su*, Yongjing Yin, Zhengyuan Yang, Yubin Ge, Jie Zhou and Jiebo Luo. 2020. Dynamic Context-guided Capsule Network for Multimodal Machine Translation. In Proc. of ACMMM 2020. Oral. (CCF-A)
[57] Xin Liu+, Kai Liu+, Xiang Li+, Jinsong Su*, Yubin Ge, Bin Wang, and Jiebo Luo. 2020. An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension. In Proc. of IJCAI2020. (CCF-A)
[56] Yongjing Yin, Fandong Meng, Jinsong Su*, Chulun Zhou, Zhengyuan Yang, Jie Zhou and Jiebo Luo. 2020. A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation. In Proc. of ACL2020. (CCF-A)
[55] Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su*, Sheng Guo and Hua Wu. 2020. Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer. In Proc. of ACL2020. (CCF-A)
[54] Linfeng Song, Ante Wang, Jinsong Su*, Yue Zhang, Kun Xu, Yubin Ge and Dong Yu. 2020. Structural Information Preserving for Graph-to-Text Generation. In Proc. of ACL2020. (CCF-A)
[53] Biao Zhang, Deyi Xiong, Jun Xie and Jinsong Su*. 2020. Neural Machine Translation with GRU-Gated Attention Model. IEEE Transactions on Neural Networks and Learning Systems. (CCF-B)
[52] Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao and Chunhua Shen. 2020. Plenty Is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A)
[51] Jiali Zeng+, Linfeng Song+, Jinsong Su*, Xie Jun, Wei Song and Jiebo Luo. 2020. Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. In Proc. of AAAI2020. (CCF-A)
[50] Yongjing Yin, Fandong Meng, Jinsong Su*, Yubin Ge, Linfeng Song, Jie Zhou and Jiebo Luo. 2020. Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. In Proc. of AAAI2020. (CCF-A)
[49] Kai Liu+, Xin Liu+, An Yang, Jing Liu, Jinsong Su, Sujian Li and Qiaoqiao She. 2020. A Robust Adversarial Training Approach to Machine Reading Comprehension. In Proc. of AAAI2020. (CCF-A)
[48] Jinsong Su+, Jiali Zeng+, Jun Xie, Huating Wen, Yongjing Yin and Yang Liu. 2019. Exploring Discriminative Word-Level Domain Contexts for Multi-domain Neural Machine Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A)
[47] Biao Zhang, Deyi Xiong, Jinsong Su*, and Jiebo Luo. 2019. Future-Aware Knowledge Distillation for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[46] Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao and Yang Liu. 2019. Exploiting Reverse Target-Side Contexts for Neural Machine Translation via Asynchronous Bidirectional Decoding. Artificial Intelligence. (CCF-A)
[45] Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li. Towards Linear Time Neural Machine Translation with Capsule Networks. In Proc. of EMNLP2019. (CCF-B)
[44] Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang and Jinsong Su. 2019. Leveraging Dependency Forest for Neural Medical Relation Extraction. In Proc. of EMNLP2019. (CCF-B)
[43] Jiali Zeng, Yang Liu, Jinsong Su*, Yubing Ge, Yaojie Lu, Yongjing Yin and Jiebo Luo. 2019. Iterative Dual Domain Adaptation for Neural Machine Translation. In Proc. of EMNLP2019. (CCF-B)
[42] Songyang Zhang, Jinsong Su, and Jiebo Luo. 2019. Exploiting Temporal Relationships in Video Moment Localization with Natural Language. In Proc. of ACMMM 2019. (CCF-A)
[41] Yongjing Yin+, Linfeng Song+, Jinsong Su*. Jiali Zeng, Chulun Zhou, Jiebo Luo. 2019. Graph-based Neural Sentence Ordering. In Proc. of IJCAI2019. (CCF-A)
[40] Mengge Xue, Weiming Cai, Jinsong Su*, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang. 2019. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. In Proc. of IJCAI2019. (CCF-A)
[39] Jialong Tang+, Ziyao Lu+, Jinsong Su*, Yubin Ge, Linfeng Song, Le Sun and Jiebo Luo. 2019. Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. In Proc. of ACL2019. (CCF-A)
[38] Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji. 2019. Towards Cross-Modality Topic Modeling via Deep Topical Correlation Analysis. In Proc. of ICASSP2019. (CCF-B)
[37] Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su. 2019. Semantic Neural Machine Translation using AMR. Transactions of the Association for Computational Linguistics. (CCF-B)
[36] Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen. 2019. Dynamic Capsule Attention for Visual Question Answering. In Proc. of AAAI 2019. (CCF-A)
[35] Yiyi Zhou, Rongrong Ji, Jinsong Su, Xiangming Li, Xiaoshuai Sun. 2019.Free VQA models from Knowledge Inertia by Pairwise Inconformity Learning. In Proc. of AAAI 2019. (CCF-A)
[34] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Neural Machine Translation with Deep Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A)
[33] Biao Zhang, Deyi Xiong, Jinsong Su*, Yue Qin. 2018. Alignment-Supervised Bidimensional Attention-Based Recursive Autoencoders for Bilingual Phrase Representation. IEEE Transactions on Cybernetics. (CCF-B)
[32] Jiali Zeng, Jinsong Su*, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao. 2018. Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. In Proc. of EMNLP 2018. (CCF-B)
[31] Biao Zhang, Deyi Xiong, Jinsong Su*, Qian Lin, Huiji Zhang. 2018. Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. In Proc. of EMNLP 2018. (CCF-B)
[30] Xiangwen Zhang, Ziyao Lu, Jing Yang, Qian Lin, Yu Lu, Hongji Wang, Jinsong SuJinsong Su*. 2018. Weighted Lattice Based Recurrent Neural Networks for Sentence Semantic Representation Modeling. Journal of Computer Research and Development. (CCF-A Chinese Journal)
[29] Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian. 2018. Neural Machine Translation with Decoding-History Enhanced Attention. In Proc. of COLING 2018. (CCF-B)
[28] Junyang Lin, Xu Sun, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su. 2018. Deconvolution-Based Global Decoding for Neural Machine Translation. In Proc. of COLING 2018. (CCF-B)
[27] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Accelerating Neural Transformer via an Average Attention Network. In Proc. of ACL 2018. (CCF-A)
[26] Fuhai Chen, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Jinsong Su. 2018. GroupCap: Group-based Image Captioning with Structured Relevance and Diversity Constraints. In Proc. of CVPR 2018. (CCF-A)
[25] Jinsong Su+, Jiali Zeng+, Deyi Xiong, Yang Liu, Mingxuan Wang, Jun Xie. 2018. A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[24] Xiangwen Zhang, Jinsong Su*, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang. 2018. Asynchronous Bidirectional Decoding for Neural Machine Translation. In Proc. of AAAI 2018. (CCF-A)
[23] Jinsong Su, Shan Wu, Deyi Xiong, Yaojie Lu, Xianpei Han, Biao Zhang. 2018. Variational Recurrent Neural Machine Translation. In Proc. of AAAI 2018. (CCF-A)
[22] Jinsong Su, Shan Wu, Biao Zhang, Changxing Wu, Yue Qin, Deyi Xiong. 2018. A Neural Generative Autoencoder for Bilingual Word Embeddings. Information Sciences. (CCF-B)
[21] Biao Zhang, Deyi Xiong, Jinsong Su*, Hong Duan. 2017. A Context-Aware Recurrent Encoder for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B)
[20] Fuhai Chen, Rongrong Ji, Jinsong Su, Donglin Cao, Yue Gao. 2017. Predicting Microblog Sentiments via Weakly Supervised Multi-Modal Deep Learning. IEEE Transactions on Multimedia. (CCF-B)
[19] Yiyi Zhou, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu. 2017. More Than An Answer: Neural Pivot Network for Visual Question Answering. In Proc. of MM 2017. (CCF-A)
[18] Fuhai Chen, Rongrong Ji, Jinsong Su, Yongjian Wu, Yunsheng Wu. 2017. StructCap: Structured Semantic Embedding for Image Captioning. In Proc. of MM 2017. (CCF-A)
[17] Changxing Wu, Xiaodong Shi, Yidong Chen, Jinsong Su, Boli Wang. 2017. Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings, In Proc. of ACL 2017. short paper.
[16] Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu. 2017. Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. In Proc. of AAAI 2017. (CCF-A)
[15] Biao Zhang, Deyi Xiong, Jinsong Su*. 2017. BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. In Proc. of AAAI 2017. (CCF-A)
[14] Jinsong Su, Biao Zhang, Deyi Xiong, Ruochen Li, Jianmin Yin. 2016. Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling. In Proc. of COLING 2016. (CCF-B)
[13] Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang. 2016. Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences. In Proc. of COLING 2016. (CCF-B)
[12] Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang. 2016. Variational Neural Machine Translation. In Proc. of EMNLP 2016. (CCF-B)
[11] Biao Zhang, Deyi Xiong, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang. 2016. Variational Neural Discourse Relation Recognizer. In Proc. of EMNLP 2016. (CCF-B)
[10] Changxing Wu, Xiaodong Shi, Yidong Chen, Yanzhou Huang, Jinsong Su. 2016. Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition. In Proc. of EMNLP 2016. short paper.
[9] Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xinyu Dai, Jiajun Chen. 2016. Tree-state based Rule Selection Models for Hierarchical Phrase-based Machine Translation. In Proc. of IJCAI 2016. (CCF-A)
[8] Biao Zhang, Jinsong Su*, Deyi Xiong, Yaojie Lu, Hong Duan, Junfeng Yao. 2015. Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition. In Proc. of EMNLP 2015. short paper.
[7] Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang. 2015. Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. In Proc. of EMNLP 2015. (CCF-B)
[6] Jinsong Su, Deyi Xiong, Shujian Huang, Xianpei Han, Junfeng Yao. 2015. Graph-based Collective Lexical Selection for Statistical Machine Translation. In Proc. of EMNLP 2015. (CCF-B)
[5] Biao Zhang, Jinsong Su*, Deyi Xiong, Hong Duan, Junfeng Yao. 2015. Discriminative Reordering Model Adaptation via Structural Learning. In Proc. of IJCAI 2015. (CCF-A)
[4] Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. 2015. A Context-Aware Topic Model for Statistical Machine Translation. In Proc. of ACL 2015. (CCF-A)
[3] Jinsong Su*, Hua Wu, Haifeng Wang, Yidong Chen, Xiaodong Shi, Huailin Dong, Qun Liu. 2012. Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information. In Proc. of ACL 2012. (CCF-A)
[2] Jinsong Su*, Yang Liu, Yajuan Lv, Haitao Mi and Qun Liu. 2010. Learning Lexicalized Reordering Models from Reordering Graphs. In Proc. of ACL 2010. oral short paper.
[1] Jinsong Su*, Yang Liu, Haitao Mi, Hongmei Zhao, Yajuan lv and Qun Liu. 2010. Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation. In Proc. of COLING 2010. (CCF-B)
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