*, ✉, -, and + indicate equal contributions, corresponding author, trainees supervised, and research interns respectively. Please check my Google Scholar for a more up-to-date list.

Peer-Reviewed Journals

  1. [8]   Hong Huang✉, Hua Zhu, Wenshi Liu, Hua Gao, Hai Jin, and Bang Liu. (2024). Uncovering the Essence of Diverse Media Biases from the Semantic Embedding Space, accepted by Nature Humanities and Social Sciences Communications, March 2024. (Download)
  2. [7]   Yuyan Chen, Yanghua Xiao✉, Zhixu Li✉, Bang Liu✉. (2023). XMQAs: Constructing Complex-Modified Question Answering Dataset for Robust Question Understanding, in IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 3, pp. 1371-1384, March 2024 (Download)
  3. [6]   Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang. (2022). Attend and select: A segment selective transformer for microblog hashtag generation, in Knowledge-Based Systems, vol. 254, issue C, Oct 2022. (Download)
  4. [5]   Bang Liu, Hanlin Zhang, Di Niu, Linglong Kong. (2021). Factorizing Historical User Actions for Next-Day Purchase Prediction, ACM Transactions on the Web (TWEB) 16.1 (2021): 1-26. (Download)
  5. [4]   Mingjun Zhao*, Shengli Yan*, Bang Liu✉, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long. (2021). QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications, Computer Speech & Language, 66, 101166. (Download)
  6. [3]   Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu. (2020). Story Forest: Extracting Events and Telling Stories from Breaking News, ACM Transactions on Knowledge Discovery from Data (TKDD), 14(3), 1-28. (Download)
  7. [2]   Bang Liu✉, Borislav Mavrin, Linglong Kong, Di Niu. (2019). Spatial Data Reconstruction via ADMM and Spatial Spline Regression, Applied Sciences, 9(9), 1733. (link)
  8. [1]   Rui Zhu, Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao. (2016). Network Latency Estimation for Personal Devices: a Matrix Completion Approach, IEEE/ACM Transactions on Networking, 25(2), 724-737. (Download)

Peer-Reviewed Proceedings

  1. [55]   Haochen Shi−, Zhiyuan Sun−, Xingdi Yuan, Marc-Alexandre Côté✉, Bang Liu✉. OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following, accepted by ACL 2024. (Download)
  2. [54]   Suyuchen Wang−, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh,, Bang Liu✉. Resonance RoPE: Improving Context Length Generalization of Large Language Models, accepted by ACL Findings 2024. (Download)
  3. [53]   Dekun Wu−*, Haochen Shi−*, Zhiyuan Sun−, Bang Liu✉. Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games, accepted by ACL Findings 2024. (Download)
  4. [52]   Shengyao Lu, Bang Liu, Keith G Mills, Jiao He, Di Niu. EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time, accepted by ICML 2024. (Download)
  5. [51]   Hua Zhu, Hong Huang✉, Zejun Fan, Kehan Yin, Hai Jin, Bang Liu. CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention, in IJCAI 2024.
  6. [50]   Shengyao Lu, Keith G Mills, Jiao He, Bang Liu, Di Niu. GOAt: Explaining Graph Neural Networks via Graph Output Attribution, in ICLR 2024. (Download)
  7. [49]   Haochen Shi-, Zhiyuan Sun-, Xingdi Yuan, Marc-Alexandre Côté✉, Bang Liu✉. OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following, in AAMAS 2024 (extended abstract).
  8. [48]   Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu✉, Zhixu Li✉, Yanghua Xiao✉. Talk Funny! A Large-scale Humor Response Dataset with Chain-of-Humor Interpretation, in AAAI 2024. (Download)
  9. [47]   Suyuchen Wang, Bang Liu✉. DiffTune: A Diffusion-Based Approach to Diverse Instruction-Tuning Data Generation, Spotlight in NeurIPS 2023 ENLSP Workshop. (Download)
  10. [46]   Peng Lu-*, Suyuchen Wang-*, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev. Efficient Classification of Long Documents via State-Space Models, in EMNLP 2023. (Download)
  11. [45]   Yu Song-, Santiago Miret✉, Huan Zhang+, Bang Liu✉. HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science, in Findings of EMNLP 2023. (Download)
  12. [44]   Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu✉, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao✉. MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization, in Findings of EMNLP 2023. (Download)
  13. [43]   Xinlin Li, Bang Liu, Ruiheng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia. DenseShift: Towards Accurate and Transferable Low-Bit Shift Network, in ICCV 2023. (Download)
  14. [42]   Yu Song-*, Santiago Miret*, Bang Liu✉. MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling, in ACL 2023. (Download)
  15. [41]   Zhong Zhang-, Bang Liu✉, Junming Shao✉. Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models, in ACL 2023. (Download)
  16. [40]   Xiaoqiang Wang-, Bang Liu✉, Siliang Tang✉, Lingfei Wu✉. (2023). SkillQG: Learning to Generate Question for Reading Comprehension Assessment, in Findings of ACL 2023. (Download)
  17. [39]   Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao. (2023). Search-Oriented Conversational Query Editing, in Findings of ACL 2023. (Download)
  18. [38]   Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao. (2023). Learning Denoised and Interpretable Session Representation for Conversational Search, in WWW 2023. (Best Paper Award Nomination. 16 sportlight papers out of 365 accepted papers and 1600 submissions.) (Download)
  19. [37]   Zhihao Ye, Wangjie Jiang, Bang Liu, Ruihui Zhao, jianguang zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng. (2023). Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification, in Findings of EACL 2023. (Download)
  20. [36]   Sifan Wu−, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu✉. (2023). Identify Event Causality with Knowledge and Analogy, in AAAI 2023. (Download)
  21. [35]   Yuyan Chen, Zhixu Li✉, Jiaqing Liang, Yanghua Xiao✉, Bang Liu, Yunwen Chen. (2023). Can Pre-trained Language Models Understand Chinese Humor?, in WSDM 2023. (Download)
  22. [34]   Yi Cheng*, Wenge Liu*, Wenjie Li✉, Jiashuo WANG, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng. (2022). Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning, in EMNLP 2022. (Online)
  23. [33]   Xiaoqiang Wang*, Bang Liu*, Siliang Tang✉, Lingfei Wu✉. (2022). QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance, in EMNLP 2022. (Online)
  24. [32]   Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng. (2022). MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction, in CIKM 2022. (Online)
  25. [31]   Jiuding Yang*, Weidong Guo*, Bang Liu*, Di Niu, Chaoyue Wang, Jingwen Luo, Zhen Wen, Yu Xu. (2022). TAG: Toward Accurate Social Media Content Tagging with a Concept Graph, in KDD 2022. (Download)
  26. [30]   Jing Ren*, Tianyang Cao*, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang✉, Zhifang Sui✉, Ruihui Zhao, Yefeng Zheng, Bang Liu✉. (2022). CLINER: Clinical Interrogation Named Entity Recognition, in KSEM 2022. (Download) (Online)
  27. [29]   Jiayuan Ding*, Tong Xiang*, Zijing Ou*, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu✉. (2022). Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation, in ICDE 2022. (Download) (SurveyBank Dataset)
  28. [28]   Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao✉. (2022). Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors, in ICDE 2022. (Download)
  29. [27]   Yang Ding, Jing Yu✉, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu. (2022). MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering, in CVPR 2022. (Download)
  30. [26]   Xiaoqiang Wang*, Bang Liu*, Fangli Xu, Bo Long, Siliang Tang✉, Lingfei Wu✉. (2022). Feeding What You Need by Understanding What you Learned, in ACL 2022. (Download)
  31. [25]   Junyang Huang, Xuantao Lu, Jiaqing Liang, Qiaoben Bao, Chen Huang, Yanghua Xiao✉, Bang Liu, Yunwen Chen. (2022). Knowing What I Don’t Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering, in DASFAA 2022. (Download)
  32. [24]   Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li✉, Yanghua Xiao✉. (2022). Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph, in DASFAA 2022. (Download)
  33. [23]   Shengyao Lu*, Bang Liu*, Keith G Mills, Shangling Jui, Di Niu. (2022). R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning, in ICLR 2022 (Spotlight). (Download)
  34. [22]   Suyuchen Wang+, Ruihui Zhao, Yefeng Zheng, Bang Liu✉. (2022). QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations, in WWW 2022. (Download)
  35. [21]   Martin Weyssow, Houari Sahraoui, Bang Liu. (2022). Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning, in ICSE-NIER 2022. (Download)
  36. [20]   Yuyan Chen, Yanghua Xiao✉, Bang Liu. (2022). Grow-and-Clip: Evidence Distillation for Answer Explanation, in ICDE 2022. (Download)
  37. [19]   Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia. (2021). $S^3$: Sparse-Sign-Shift Reparametrization for Effective Training of Low-bit Shift Networks, in NeurIPS 2021. (Download)
  38. [18]   Zijing Ou+, Qinliang Su✉, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu. (2021). Refining BERT Embeddings for Document Hashing via Mutual Information Maximization, in Findings of EMNLP 2021. (Download)
  39. [17]   Yi Cheng+, Siyao Li+, Bang Liu✉, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng. (2021). Guiding the Growth: Difficulty-Controllable Multi-hop Question Generation through Step-by-step Rewriting, in ACL 2021. (Download)
  40. [16]   Zijing Ou+, Qinliang Su✉, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng. (2021). Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval, in ACL 2021. (Download)
  41. [15]   Zhexue Chen, Hong Huang✉, Bang Liu✉, Xuanhua Shi, Hai Jin. (2021). Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction, in Findings of ACL 2021. (Download)
  42. [14]   Zhengxu Hou+, Bang Liu✉, Ruihui Zhao, Zijing Ou, Yi Cheng, Yefeng Zheng. (2021). Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management, in NAACL 2021. (Download)
  43. [13]   Suyuchen Wang+, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu✉. (2021). Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion, in WWW 2021. (Download)
  44. [12]   Bang Liu*, Weidong Guo*, Di Niu, Jingwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu. (2020). GIANT: Scalable Creation of a Web-scale Ontology, in SIGMOD 2020. (Download)
  45. [11]   Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He. (2020). Asking questions the Human Way: Scalable Question-Answer Generation from Text Corpus, in WWW 2020. (Download)
  46. [10]   Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu. (2019). Matching Article Pairs with Graphical Decomposition and Convolutions, in ACL 2019. (Download)
  47. [9]   Bang Liu*, Weidong Guo*, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai and Yu Xu. (2019). A User-Centered Concept Mining System for Query and Document Understanding at Tencent, in KDD 2019. (Download)
  48. [8]   Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei and Yu Xu. (2019). Learning to Generate Questions by Learning What not to Generate, in WWW 2019. (Download)
  49. [7]   Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai and Yu Xu. (2018). Multiresolution Graph Attention Networks for Relevance Matching, in CIKM 2018. (Download)
  50. [6]   Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai and Yu Xu. (2018). Matching Natural Language Sentences with Hierarchical Sentence Factorization, in WWW 2018. (Download)
  51. [5]   Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu. (2017). Recover Fine-Grained Spatial Data from Coarse Aggregation, in ICDM 2017. (Download)
  52. [4]   Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu. (2017). Growing Story Forest Online from Massive Breaking News, in CIKM 2017. This project won the Extraordinary Achievement Award, top 1 out of 18 grant holders, for 2016-2017 CCF-Tencent Rhino Bird Open Grant, on CNCC, Oct 27, Fuzhou China. (Download)
  53. [3]   Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang. (2017). Latency reduction and load balancing in coded storage systems, in SoCC 2017. (Download)
  54. [2]   Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong. (2016). House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis, in ICDM 2016. (Download)
  55. [1]   Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao. (2015). Network Latency Prediction for Personal Devices: Distance-Feature Decomposition from 3D Sampling, in INFOCOM 2015. (Download)

Books or Book Chapters

  1. [1]   Bang Liu, Lingfei Wu. (2021). Graph Neural Networks in Natural Language Processing, In: Graph Neural Networks: Foundations, Frontiers, and Applications, Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao. (Chapter) (Book)

Tutorials

  1. [9]   Bang Liu, Yu Chen, Manling Li, Heng Ji, Lingfei Wu (2024). Beyond Human Creativity: A Tutorial on Advancements in AI Generated Content. Half-day tutorial at IJCAI 2024.
  2. [8]   Bang Liu, Yu Chen, Xiaojie Guo, Lingfei Wu (2024). Beyond Human Creativity: A Tutorial on Advancements in AI Generated Content. Half-day tutorial at AAAI 2024.(link) (slides)
  3. [7]   Bang Liu and Haochen Shi (2023). NLP Workshop Series : Knowledge graphs: Extracting and leveraging meaning from unstructured text, 6 hours short course, IVADO and CLIQ-AI.(Slides)
  4. [6]   Bang Liu and Haochen Shi (2022). NLP Workshop Series : Knowledge graphs: Extracting and leveraging meaning from unstructured text, 6 hours short course, IVADO and CLIQ-AI.(Slides) (link)
  5. [5]   Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li, Bang Liu. (2022). Deep Learning on Graphs for Natural Language Processing, half-day tutorial at WWW 2022. (link)
  6. [4]   Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li, Bang Liu. (2022). Deep Learning on Graphs for Natural Language Processing, half-day tutorial at AAAI 2022. (link)
  7. [3]   Lingfei Wu, Yu Chen, Heng Ji, Bang Liu. (2021). Deep Learning on Graphs for Natural Language Processing, half-day tutorial at SIGIR 2021. (link)
  8. [2]   Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li, Bang Liu. (2021). Deep Learning on Graphs for Natural Language Processing, half-day tutorial at KDD 2021. (link)
  9. [1]   Lingfei Wu, Yu Chen, Heng Ji, Yunyao Li, Bang Liu. (2021). Deep Learning on Graphs for Natural Language Processing, half-day tutorial at IJCAI 2021. (link)

Reports

  1. [3]   Bang Liu. (2014). Named Entity Recognition for Housing Data, CMPUT 625, University of Alberta, Winter term 2014. (Download)
  2. [2]   Bang Liu, Yan Liu, Kai Zhou. (2013). Image Classification for Dogs and Cats, CMPUT 551, University of Alberta, Fall term 2013. (Download) (Slides)
  3. [1]   Bang Liu, Wenchao Wan, Zhichao Shen. (2012). The Classification of Leaves on The Continuous Static Optimal Model , Mathematical Contest in Modeling (MCM), February 2012. (Download) (Problem)

Thesis

  1. [3]   Bang Liu (2020). Natural Language Processing and Text Mining with Graph-structured Representations, PhD thesis, Advisor: Di Niu, Linglong Kong, University of Alberta, January 2020. (Download)
  2. [2]   Bang Liu. (2015). Matrix and Tensor Approximation for Internet Latency Prediction and Online Purchase Prediction, Master thesis, Advisor: Di Niu, H. Vicky Zhao, University of Alberta, September 2015. (Download)
  3. [1]   Bang Liu. (2013). CAPTCHA Recognition using Machine Learning, Bachelor's thesis, Advisor: Rong Zhang, University of Science and Technology of China (USTC), June 2013. (Download)