Songlin Hu （虎嵩林） is a full professor at the Institute of Information Engineering (IIE), the Chinese Academy of Sciences. He is also a joint professor at the University of Chinese Academy of Sciences, an Expert with Special Allowance from the State Council.
email：husonglin (at) iie.ac.cn
I am looking for smart, curious and self-motivated Phd students and postdoc research fellows with solid therotical background and/or strong programming skills. If you are interested, feel free to drop me an email.
Research Areas
His research areas include big data, natural langurage processing, knowledge graph, AI Safety etc. He has published more than 100 publications in many reputed conferences and journals, like ACL,ICML,ICLR,AAAI,and ACM/IEEE Trans, etc.
Education
He received his Bachelor (1995) and Master (1998) degree from the Taiyuan Institute of Technology, and got his Ph.D degree in Beihang University in 2001. He has worked in Middleware System Research Group at the University of Toronto from 2005 to 2006, participating in PADRES project.
Experience
Work Experience
He joined Institute of Computing Technology, Chinese Academy of Sciences in April 2002 as an assistant professor, and was promoted to associate professor in September 2002. He has been the leader of Software integration and Service Grid Group, deputy director of the Sino-German Joint research lab on Software integration & service computing. He moved to Institute of Information Engineering, Chinese Academy of Sciences in 2015.
Publications
Recent Papers
2025
1. Ziming Li, Yaxin Liu, Chuanpeng Yang, Yan Zhou, Songlin Hu: ROSA: A Robust Self-Adaptive Model for Multimodal Emotion Recognition With Uncertain Missing Modalities. IEEE Trans. Multim. 27: 6766-6779 (2025)
2. Boyu Qiao, Wei Zhou, Kun Li, Shilong Li, Songlin Hu: Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7302-7315 (2025)
3. Chaochen Gao, Xing W, Zijia Lin, Debing Zhang, Songlin Hu: LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions. NeurIPS 2025
4. Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu: NExtLong: Toward Effective Long-Context Training without Long Documents. ICML 2025
5. Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu: Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model. ICLR 2025
6. Peng Wang, biyu zhou, Xuehai Tang, Jizhong Han, Songlin Hu: LyapLock: Bounded Knowledge Preservation in Sequential Large Language Model Editing. EMNLP 2025
7. Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di ZHANG, Kun Gai, Songlin Hu: DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. EMNLP 2025
8. Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu: Structure-aware Propagation Generation with Large Language Models for Fake News Detection. EMNLP findings 2025
9. Haonan Sheng, Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu: Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation. EMNLP findings 2025
10. Boyu Qiao, Kun Li, Wei Zhou, Songlin Hu: Dynamic Simulation Framework for Disinformation Dissemination and Correction With Social Bots. EMNLP findings 2025
11. Lijia Lv, Yuanshu Zhao, Guan Wang, Xuehai Tang, Wen Jie, Jizhong Han, Songlin Hu: Gamma-Guard: Lightweight Residual Adapters for Robust Guardrails in Large Language Models. EMNLP 2025
12. Dou Hu, and Lingwei Wei1, Wei Zhou, Songlin Hu: Impartial Multi-task Representation Learning via Variance-invariant Probabilistic Decoding. ACL 2025
13. Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu: Capture the Key in Reasoning to Enhance CoT Distillation Generalization. ACL 2025
14. Xikang Yang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu: Chain of Attack: Hide Your Intention through Multi-Turn Interrogation. ACL findings 2025
15. Lingwei Wei, Dou Hu, Wei Zhou, Philip S. Yu,Songlin Hu: Structure-adaptive Adversarial Contrastive Learning for Multi-Domain Fake News Detection. ACL findings 2025
16. Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu: An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding. AAAI 2025: 17276-17286
17. Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu: Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models. AAAI 2025: 23514-23522
18. Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu: BotSim: LLM-Powered Malicious Social Botnet Simulation. AAAI 2025 : 14377-14385
19. Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu: Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. AAAI 2025: 24759-24767
20. Ziyang Chen, Dongqin Liu, Jiao Dai, Songlin Hu: Boosting Open-Vocabulary Object Detection Performance via Class-Agnostic Pseudo-Labels and MultiModal Hybrid Knowledge. ICASSP 2025
21. Lijia Lv, Weigang Zhang, Xuehai Tang, Jie Wen, Feng Liu, Jizhong Han, Songlin Hu: AdaPPA: Adaptive Position Pre-Fill Jailbreak Attack Approach Targeting LLMs. ICASSP 2025
22. Boyu Qiao, Kun Li, Wei Zhou, Shilong Li, Qianqian Lu, Songlin Hu: Identifying Bots on Social Media through Coordinated Group Perception. ICASSP 2025
23. Ziang Yang, Lingwei Wei, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu: Segment-Recurrent Transformer with Multi-Scale Fusion for Long-Term Time Series Forecasting. ICASSP 2025
24. Zhenpeng Su, Xing W, Zijia Lin, Yizhe Xiong , Minxuan Lv, Guangyuan Ma, Hui Chen , Songlin Hu , Guiguang Ding: CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. NAACL 2025
25. Kun Li, Tingzhang Zhao, Wei Zhou, Songlin Hu: DORA: Dynamic Optimization Prompt for Continuous Reflection of LLM-based Agent. COLING 2025
2024
1. Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu: Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. SIGIR 2024: 1818-1827
2. Lingwei Wei, Dou Hu, Wei Zhou, Xin Wang, Songlin Hu: Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2522-2533 (2024)
3. Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu: Structured Probabilistic Coding. AAAI 2024: 12491-12501
4. Chuanpeng Yang, Yaxin Liu, Fuqing Zhu, Jizhong Han, Songlin Hu: Uncertainty-Guided Modal Rebalance for Hateful Memes Detection. ACL (1) 2024: 4361-4371
5. Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu: Representation Learning with Conditional Information Flow Maximization. ACL (1) 2024: 14088-14103
6. Yinan Bao, Dou Hu, Lingwei Wei, Shuchong Wei, Wei Zhou, Songlin Hu: Multi-stream Information Fusion Framework for Emotional Support Conversation. LREC/COLING 2024: 11981-11992
7. Chuanpeng Yang, Fuqing Zhu, Yaxin Liu, Jizhong Han, Songlin Hu: Uncertainty-Aware Cross-Modal Alignment for Hate Speech Detection. LREC/COLING 2024: 16973-16983
8. Shuchong Wei, Liangjun Zang, Xiaobin Zhang, Qianwen Liu, Songlin Hu: Leveraging Evolution Patterns to Enhance Script Event Prediction by Large Language Models. DASFAA (5) 2024: 371-380
9. Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu: Breaking the Weak Semantics Bottleneck of Transformers in Time Series Forecasting. ECAI 2024: 1430-1437
10. Weigang Zhang, Biyu Zhou, Xing Wu, Chaochen Gao, Zhibing Liu, Xuehai Tang, Ruixuan Li, Jizhong Han, Songlin Hu: Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models. Euro-Par (2) 2024: 424-438
11. Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu: Transferring Structure Knowledge: A New Task to Fake News Detection towards Cold-Start Propagation. ICASSP 2024: 8045-8049
12. Han Cao, Lingwei Wei, Wei Zhou, Songlin Hu: Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification. ICME 2024: 1-6
13. Yaxin Liu, Yan Zhou, Ziming Li, Jinchuan Zhang, Yu Shang, Chenyang Zhang, Songlin Hu: RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis. ICME 2024: 1-6
14. Zhuohua Li, Ruyun Wang, Fuqing Zhu, Jizhong Han, Songlin Hu: Pyramidal Cross-Modal Transformer with Sustained Visual Guidance for Multi-Label Image Classification. ICMR 2024: 740-748
15. Ding Wang, Wei Zhou, Songlin Hu: Information Diffusion Prediction with Graph Neural Ordinary Differential Equation Network. ACM Multimedia 2024: 9699-9708
16. Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu: MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. NAACL-HLT (Findings) 2024: 250-262
17. Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu: Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems. NAACL-HLT 2024: 820-830
18. Mengyang Chen, Lingwei Wei, Han Cao, Wei Zhou, Zhou Yan, Songlin Hu: Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection. ECML/PKDD (7) 2024: 227-244
2023
1. Ting Ma, Mingming Li, Shangwen Lv, Fuqing Zhu, Longtao Huang, Songlin Hu: ContE: contextualized knowledge graph embedding for circular relations. Data Min. Knowl. Discov. 37(1): 110-135 (2023)
2. Yaxin Liu, Yan Zhou, Ziming Li, Junlin Wang, Wei Zhou, Songlin Hu: HIM: An End-to-End Hierarchical Interaction Model for Aspect Sentiment Triplet Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2272-2285 (2023)
3. Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu: Modeling Both Intra- and Inter-Modality Uncertainty for Multimodal Fake News Detection. IEEE Trans. Multim. 25: 7906-7916 (2023)
4. Ting Ma, Longtao Huang, Qianqian Lu, Songlin Hu: KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation. ACM Trans. Inf. Syst. 41(1): 4:1-4:27 (2023)
5. Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu: ConTextual Masked Auto-Encoder for Dense Passage Retrieval. AAAI 2023: 4738-4746
6. Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou, Songlin Hu: Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations. ACL (1) 2023: 10835-10852
7. Weigang Zhang, Biyu Zhou, Xuehai Tang, Zhaoxing Wang, Songlin Hu: MixPipe: Efficient Bidirectional Pipeline Parallelism for Training Large-Scale Models. DAC 2023: 1-6
8. Ziang Yang, Biyu Zhou, Xuehai Tang, Ruixuan Li, Songlin Hu: Orthrus: A Dual-Branch Model for Time Series Forecasting with Multiple Exogenous Series. DASFAA (1) 2023: 177-187
9. Shuchong Wei, Liangjun Zang, Xiaobin Zhang, Xiaohui Song, Songlin Hu: Improving Event Representation with Supervision from Available Semantic Resources. DASFAA (3) 2023: 639-648
10. Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu: Query-as-context Pre-training for Dense Passage Retrieval. EMNLP 2023: 1906-1916
11. Minxuan Lv, Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu: CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability. EMNLP 2023: 5581-5591
12. Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu: PUNR: Pre-training with User Behavior Modeling for News Recommendation. EMNLP (Findings) 2023: 8338-8347
13. Dongqin Liu, Wentao Li, Wei Zhou, Zhaoxing Li, Jiao Dai, Jizhong Han, Ruixuan Li, Songlin Hu: Semantic Stage-Wise Learning for Knowledge Distillation. ICME 2023: 816-821
14. Boyu Qiao, Kun Li, Wei Zhou, Zhou Yan, Shilong Li, Songlin Hu: Social Bot Detection Based on Window Strategy. ICME 2023: 2201-2206
15. Chuanpeng Yang, Fuqing Zhu, Jizhong Han, Songlin Hu: Invariant Meets Specific: A Scalable Harmful Memes Detection Framework. ACM Multimedia 2023: 4788-4797
16. Dou Hu, Lingwei Wei, Yaxin Liu, Wei Zhou, Songlin Hu: UCAS-IIE-NLP at SemEval-2023 Task 12: Enhancing Generalization of Multilingual BERT for Low-resource Sentiment Analysis. SemEval@ACL 2023: 1849-1857 (Champion , Best System Award 0.4%)
2022
1. Chuanpeng Yang, Fuqing Zhu, Guihua Liu, Jizhong Han, Songlin Hu: Multimodal Hate Speech Detection via Cross-Domain Knowledge Transfer. ACM Multimedia 2022: 4505-4514
2. Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu: RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. EMNLP (Findings) 2022: 3036-3047
3. Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu: InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings. EMNLP (Findings) 2022: 3060-3070
4. Xiaohui Song, Longtao Huang, Hui Xue, Songlin Hu: Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. EMNLP 2022: 5197-5206
5. Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Songlin Hu: Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. ACL (2) 2022: 871-875
6. Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu: Multi-Granularity Semantic Aware Graph Model for Reducing Position Bias in Emotion Cause Pair Extraction. ACL (Findings) 2022: 1203-1213
7. Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu: Uncertainty-aware Propagation Structure Reconstruction for Fake News Detection. COLING 2022: 2759-2768
8. Lingwei Wei, Dou Hu, Yantong Lai, Wei Zhou, Songlin Hu: A Unified Propagation Forest-based Framework for Fake News Detection. COLING 2022: 2769-2779
9. Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu: ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding. COLING 2022: 3898-3907
10. Xing Wu, Chaochen Gao, Yipeng Su, Jizhong Han, Zhongyuan Wang, Songlin Hu: Smoothed Contrastive Learning for Unsupervised Sentence Embedding. COLING 2022: 4902-4906
11. Ziming Li, Yan Zhou, Weibo Zhang, Yaxin Liu, Chuanpeng Yang, Zheng Lian, Songlin Hu: AMOA: Global Acoustic Feature Enhanced Modal-Order-Aware Network for Multimodal Sentiment Analysis. COLING 2022: 7136-7146
12. Ding Wang, Lingwei Wei, Chunyuan Yuan, Yinan Bao, Wei Zhou, Xian Zhu, Songlin Hu: Cascade-Enhanced Graph Convolutional Network for Information Diffusion Prediction. DASFAA (1) 2022: 615-631
13. Kun Li, Meng Lin, Songlin Hu, Ruixuan Li: CLZT: A Contrastive Learning Based Framework for Zero-Shot Text Classification. DASFAA (2) 2022: 623-630
14. Weibo Zhang, Fuqing Zhu, Jizhong Han, Tao Guo, Songlin Hu: Cross-Layer Aggregation with Transformers for Multi-Label Image Classification. ICASSP 2022: 3448-3452
15. Xiaobin Zhang, Liangjun Zang, Peng Cheng, Yuqi Wang, Songlin Hu: A Knowledge/Data Enhanced Method for Joint Event and Temporal Relation Extraction. ICASSP 2022: 6362-6366
16. Xiaohui Song, Liangjun Zang, Rong Zhang, Songlin Hu, Longtao Huang: Emotionflow: Capture the Dialogue Level Emotion Transitions. ICASSP 2022: 8542-8546
17. Zhuohua Li, Weibo Zhang, Ziang Yang, Fuqing Zhu, Jizhong Han, Songlin Hu: UFI: A Unified Feature Interaction Framework for Multi-Label Image Classification. ICME 2022: 1-6
18. Yinan Bao, Qianwen Ma, Lingwei Wei, Wei Zhou, Songlin Hu: Speaker-Guided Encoder-Decoder Framework for Emotion Recognition in Conversation. IJCAI 2022: 4051-4057
19. Wang Wang, Xuehai Tang, Biyu Zhou, Wenjie Xiao, Jizhong Han, Songlin Hu: Improving disk failure detection accuracy via data augmentation. IWQoS 2022: 1-10
20. Chunrong Yao, Wantao Liu, Weiqing Tang, Songlin Hu: EAIS: Energy-aware adaptive scheduling for CNN inference on high-performance GPUs. Future Gener. Comput. Syst. 130: 253-268 (2022)
21. Chunrong Yao, Wantao Liu, Zhibing Liu, Longchuan Yan, Songlin Hu, Weiqing Tang: EALI: Energy-aware layer-level scheduling for convolutional neural network inference services on GPUs. Neurocomputing 507: 265-281 (2022)
2021
1. Chen Lyu, Ruyun Wang, Hongyu Zhang, Hanwen Zhang, Songlin Hu: Embedding API dependency graph for neural code generation. Empir. Softw. Eng. 26(4): 61 (2021)
2. Ting Ma, Shangwen Lv, Longtao Huang, Songlin Hu: HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning. Neural Networks 143: 261-270 (2021)
3. Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, Songlin Hu: An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. AAAI 2021: 14630-14637
4. Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue, Songlin Hu: Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection. ACL/IJCNLP (1) 2021: 3845-3854
5. Qianwen Ma, Chunyuan Yuan, Wei Zhou, Songlin Hu: Label-Specific Dual Graph Neural Network for Multi-Label Text Classification. ACL/IJCNLP (1) 2021: 3855-3864
6. Jinzhu Yang, Ding Wang, Wei Zhou, Wanhui Qian, Xin Wang, Jizhong Han, Songlin Hu: Entity and Relation Matching Consensus for Entity Alignment. CIKM 2021: 2331-2341
7. Jinzhu Yang, Wei Zhou, Wanhui Qian, Jizhong Han, Songlin Hu: Topic Sequence Embedding for User Identity Linkage from Heterogeneous Behavior Data. ICASSP 2021: 2590-2594
8. Wanhui Qian, Fuqing Zhu, Jinzhu Yang, Jizhong Han, Songlin Hu: Aligning the training and evaluation of unsupervised text style Transfer. ICASSP 2021: 7568-7572
9. Chunrong Yao, Wantao Liu, Weiqing Tang, Jinrong Guo, Songlin Hu, Yijun Lu, Wei Jiang: Evaluating and analyzing the energy efficiency of CNN inference on high-performance GPU. Concurr. Comput. Pract. Exp. 33(6) (2021)
2020
1. Shangwen Lv, Longtao Huang, Liangjun Zang, Wei Zhou, Jizhong Han, Songlin Hu: Yet another approach to understanding news event evolution. World Wide Web 23(4): 2449-2470 (2020)
2. Mingming Li, Shuai Zhang, Fuqing Zhu, Wanhui Qian, Liangjun Zang, Jizhong Han, Songlin Hu: Symmetric Metric Learning with Adaptive Margin for Recommendation. AAAI 2020: 4634-4641
3. Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu: Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456
4. Lin Zhao, Wanhui Qian, Liangjun Zang, Fuqing Zhu, Yijun Lu, Ruixuan Li, Jizhong Han, Songlin Hu: An Event-Oriented Neural Ranking Model for News Retrieval. CIKM 2020: 2325-2328
5. Shangwen Lv, Fuqing Zhu, Songlin Hu: Integrating External Event Knowledge for Script Learning. COLING 2020: 306-315
6. Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu: Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users based on Weakly Supervised Learning. COLING 2020: 5444-5454
7. Jinrong Guo, Songlin Hu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu: Tail: An Automated and Lightweight Gradient Compression Framework for Distributed Deep Learning. DAC 2020: 1-6
8. Jinzhu Yang, Wei Zhou, Lingwei Wei, Junyu Lin, Jizhong Han, Songlin Hu: RE-GCN: Relation Enhanced Graph Convolutional Network for Entity Alignment in Heterogeneous Knowledge Graphs. DASFAA (2) 2020: 432-447
9. Jinrong Guo, Wantao Liu, Wang Wang, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu: Accelerating Distributed Deep Learning By Adaptive Gradient Quantization. ICASSP 2020: 1603-1607
10. Chunyuan Yuan, Qianwen Ma, Junyang Chen, Wei Zhou, Xiaodan Zhang, Xuehai Tang, Jizhong Han, Songlin Hu: Exploiting Heterogeneous Artist and Listener Preference Graph for Music Genre Classification. ACM Multimedia 2020: 3532-3540
11. Dongjun Wei, Yaxin Liu, Fuqing Zhu, Liangjun Zang, Wei Zhou, Yijun Lu, Songlin Hu: AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization. PAKDD (2) 2020: 580-592
12. Chunyuan Yuan, Jiacheng Li, Wei Zhou, Yijun Lu, Xiaodan Zhang, Songlin Hu: DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction. ECML/PKDD (3) 2020: 347-363
13. Lingwei Wei, Dou Hu, Wei Zhou, Xuehai Tang, Xiaodan Zhang, Xin Wang, Jizhong Han, Songlin Hu: Hierarchical Interaction Networks with Rethinking Mechanism for Document-Level Sentiment Analysis. ECML/PKDD (3) 2020: 633-649
14. Qianwen Ma, Chunyuan Yuan, Wei Zhou, Jizhong Han, Songlin Hu: Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification. WSDM 2020: 411-419
2019
1. Shangwen Lv, Wanhui Qian, Longtao Huang, Jizhong Han, Songlin Hu: SAM-Net: Integrating Event-Level and Chain-Level Attentions to Predict What Happens Next. AAAI 2019: 6802-6809
2. Mingming Li, Jiao Dai, Fuqing Zhu, Liangjun Zang, Songlin Hu, Jizhong Han: A Fuzzy Set Based Approach for Rating Bias. AAAI 2019: 9969-9970
3. Wei Zhou, Jingli Wang, Junyu Lin, Jiacheng Li, Jizhong Han, Songlin Hu: A Time-Series Sockpuppet Detection Method for Dynamic Social Relationships. DASFAA (1) 2019: 36-51
4. Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu: Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots. EMNLP/IJCNLP (1) 2019: 111-120
5. Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu: Conditional BERT Contextual Augmentation. ICCS (4) 2019: 84-95
6. Jinrong Guo, Wantao Liu, Wang Wang, Chunrong Yao, Jizhong Han, Ruixuan Li, Yijun Lu, Songlin Hu: AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-Deep Neural Networks. ICCD 2019: 65-72
7. Chunyuan Yuan, Qianwen Ma, Wei Zhou, Jizhong Han, Songlin Hu: Jointly Embedding the Local and Global Relations of Heterogeneous Graph for Rumor Detection. ICDM 2019: 796-805
8. Chunyuan Yuan, Wei Zhou, Qianwen Ma, Shangwen Lv, Jizhong Han, Songlin Hu: Learning Review Representations from user and Product Level Information for Spam Detection. ICDM 2019: 1444-1449
9. Weibo Zhang, Fuqing Zhu, Jiao Dai, Songlin Hu, Jizhong Han, Tao Guo: SPL: Exploiting Unlabeled Data for Multi-label Image Classification. ICME 2019: 157-162
10. Hongchao Gao, Xi Wang, Yujia Li, Jizhong Han, Songlin Hu, Ruixuan Li: Self-Representation Convolutional Neural Networks. ICME 2019: 1672-1677
11. Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu: Mask and Infill: Applying Masked Language Model for Sentiment Transfer. IJCAI 2019: 5271-5277
12. Yan Zhou, Longtao Huang, Tao Guo, Jizhong Han, Songlin Hu: A Span-based Joint Model for Opinion Target Extraction and Target Sentiment Classification. IJCAI 2019: 5485-5491 (Best Student Paper)
Research Interests
Big Data storage and Intelligent processing, Knowledge Graph