Bang Liu

According to our database, Bang Liu authored at least 108 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding.

Yuyan Chen, Yanghua Xiao, Zhixu Li, Bang Liu

IEEE Trans. Knowl. Data Eng., March, 2024

ST-HO: Symmetry-Enhanced Energy-Efficient DAG Task Offloading Algorithm in Intelligent Transport System.

Zhibin Gao, Gaoyu Luo, Shanhao Zhan, Bang Liu, Lianfen Huang, Han-Chieh Chao

Symmetry, February, 2024

Objective and neutral summarization of customer reviews.

Florian Carichon, Chrys Ngouma, Bang Liu, Gilles Caporossi

Expert Syst. Appl., 2024

TradExpert: Revolutionizing Trading with Mixture of Expert LLMs.

Qianggang Ding, Haochen Shi, Bang Liu

CoRR, 2024

MatExpert: Decomposing Materials Discovery by Mimicking Human Experts.

Qianggang Ding, Santiago Miret, Bang Liu

CoRR, 2024

FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval.

Jinlin Wang, Suyuchen Wang, Ziwen Xia, Sirui Hong, Yun Zhu, Bang Liu, Chenglin Wu

CoRR, 2024

OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning.

Xiaoqiang Wang, Bang Liu

CoRR, 2024

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning.

Yizhou Chi, Yizhang Lin, Sirui Hong, Duyi Pan, Yaying Fei, Guanghao Mei, Bangbang Liu, Tianqi Pang, Jacky Kwok, Ceyao Zhang, Bang Liu, Chenglin Wu

CoRR, 2024

AFlow: Automating Agentic Workflow Generation.

Jiayi Zhang, Jinyu Xiang, Zhaoyang Yu, Fengwei Teng, Xionghui Chen, Jiaqi Chen, Mingchen Zhuge, Xin Cheng, Sirui Hong, Jinlin Wang, Bingnan Zheng, Bang Liu, Yuyu Luo, Chenglin Wu

CoRR, 2024

Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A.

K. Roth, Rushil Gupta, Simon Hallé, Bang Liu

CoRR, 2024

Improving Clinical Note Generation from Complex Doctor-Patient Conversation.

Yizhan Li, Sifan Wu, Christopher Smith, Thomas Lo, Bang Liu

CoRR, 2024

VCR: Visual Caption Restoration.

Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio

CoRR, 2024

OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework.

Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu

CoRR, 2024

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.

Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen

CoRR, 2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Bang Liu, Lingfei Wu

CoRR, 2024

Data Interpreter: An LLM Agent For Data Science.

Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu

CoRR, 2024

T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval.

Yili Li, Jing Yu, Keke Gai, Bang Liu, Gang Xiong, Qi Wu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention.

Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time.

Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GOAt: Explaining Graph Neural Networks via Graph Output Attribution.

Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HoneyComb: A Flexible LLM-Based Agent System for Materials Science.

Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.

Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enhancing Agent Learning through World Dynamics Modeling.

Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration.

Jeremy Qin, Bang Liu, Quoc Dinh Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches.

Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D. D. Willis, Bang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following.

Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games.

Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Resonance RoPE: Improving Context Length Generalization of Large Language Models.

Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.

Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation.

Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Marbling-Net: A Novel Intelligent Framework for Pork Marbling Segmentation Using Images from Smartphones.

Shufeng Zhang, Yuxi Chen, Weizhen Liu, Bang Liu, Xiang Zhou

Sensors, 2023

Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models.

Hossein Rajabzadeh, Suyuchen Wang, Hyock Ju Kwon, Bang Liu

CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.

Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao

Proceedings of the ACM Web Conference 2023, 2023

Can Pre-trained Language Models Understand Chinese Humor?

Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science.

Yu Song, Santiago Miret, Huan Zhang, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Efficient Classification of Long Documents via State-Space Models.

Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization.

Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification.

Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models.

Zhong Zhang, Bang Liu, Junming Shao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SkillQG: Learning to Generate Question for Reading Comprehension Assessment.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling.

Yu Song, Santiago Miret, Bang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Search-Oriented Conversational Query Editing.

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Identify Event Causality with Knowledge and Analogy.

Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Factorizing Historical User Actions for Next-Day Purchase Prediction.

Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu

ACM Trans. Web, 2022

Attend and select: A segment selective transformer for microblog hashtag generation.

Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang

Knowl. Based Syst., 2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

CoRR, 2022

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning.

Ailisi Li, Xueyao Jiang, Bang Liu, Jiaqing Liang, Yanghua Xiao

CoRR, 2022

Deep learning enhanced Rydberg multifrequency microwave recognition.

Zong-Kai Liu, Li-Hua Zhang, Bang Liu, Zheng-Yuan Zhang, Guang-Can Guo, Dong-Sheng Ding, Baosen Shi

CoRR, 2022

QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations.

Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

CLINER: Clinical Interrogation Named Entity Recognition.

Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu

Proceedings of the Knowledge Science, Engineering and Management, 2022

TAG: Toward Accurate Social Media Content Tagging with a Concept Graph.

Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning.

Martin Weyssow, Houari A. Sahraoui, Bang Liu

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results ICSE (NIER) 2022, 2022

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.

Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.

Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision.

Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation.

Yuyan Chen, Yanghua Xiao, Bang Liu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance.

Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning.

Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph.

Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li, Yanghua Xiao

Proceedings of the Database Systems for Advanced Applications, 2022

Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering.

Junyang Huang, Xuantao Lu, Jiaqing Liang, Qiaoben Bao, Chen Huang, Yanghua Xiao, Bang Liu, Yunwen Chen

Proceedings of the Database Systems for Advanced Applications, 2022

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering.

Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction.

Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Feeding What You Need by Understanding What You Learned.

Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

QBSUM: A large-scale query-based document summarization dataset from real-world applications.

Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo

Comput. Speech Lang., 2021

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation.

Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu

CoRR, 2021

S³: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

CoRR, 2021

Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.

Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu

CoRR, 2021

Encoder-Decoder Neural Architecture Optimization for Keyword Spotting.

Tong Mo, Bang Liu

CoRR, 2021

Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion.

Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu

Proceedings of the WWW '21: The Web Conference 2021, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management.

Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Deep Learning on Graphs for Natural Language Processing.

Lingfei Wu, Yu Chen, Heng Ji, Bang Liu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.

Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.

Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting.

Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction.

Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Story Forest: Extracting Events and Telling Stories from Breaking News.

Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu

ACM Trans. Knowl. Discov. Data, 2020

Joint user association and resource allocation in HetNets based on user mobility prediction.

Zhipeng Cheng, Ning Chen, Bang Liu, Zhibin Gao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani

Comput. Networks, 2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.

Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GIANT: Scalable Creation of a Web-scale Ontology.

Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Learning to Generate Questions by Learning What not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

CoRR, 2019

Learning to Generate Questions by LearningWhat not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Proceedings of the World Wide Web Conference, 2019

A User-Centered Concept Mining System for Query and Document Understanding at Tencent.

Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Matching Article Pairs with Graphical Decomposition and Convolutions.

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

A Low-Cost Vehicle Anti-Theft System Using Obsolete Smartphone.

Bang Liu, Nianbo Liu, Guihai Chen, Xili Dai, Ming Liu

Mob. Inf. Syst., 2018

Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model.

Bang Liu, Xili Dai, Haigang Gong, Zihao Guo, Nianbo Liu, Xiaomin Wang, Ming Liu

Mob. Inf. Syst., 2018

Matching Long Text Documents via Graph Convolutional Networks.

Bang Liu, Ting Zhang, Di Niu, Jinghong Lin, Kunfeng Lai, Yu Xu

CoRR, 2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization.

Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Multiresolution Graph Attention Networks for Relevance Matching.

Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Network Latency Estimation for Personal Devices: A Matrix Completion Approach.

Rui Zhu, Bang Liu, Di Niu, Zongpeng Li, Hong Vicky Zhao

IEEE/ACM Trans. Netw., 2017

Experimental Study on Slope Deformation Monitoring Based on a Combined Optical Fiber Transducer.

Yong Zheng, Dong-Yan Liu, Zheng-Wei Zhu, Hong-Lin Liu, Bang Liu

J. Sensors, 2017

Recover Fine-Grained Spatial Data from Coarse Aggregation.

Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Latency reduction and load balancing in coded storage systems.

Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Growing Story Forest Online from Massive Breaking News.

Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis.

Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling.

Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

2013

PASS: Parking-Lot-Assisted Carpool over Vehicular Ad Hoc Networks.

Jinqi Zhu, Yong Feng, Bang Liu

Int. J. Distributed Sens. Networks, 2013

A Study on the Tracking Problem in Vehicular Ad Hoc Networks.

Xing Zhang, Bang Liu, Jinchuan Tang

Int. J. Distributed Sens. Networks, 2013

An Efficient Data Evacuation Strategy for Sensor Networks in Postdisaster Applications.

Ming Liu, Bang Liu, Yonggang Wen

Int. J. Distributed Sens. Networks, 2013

Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone.

Nianbo Liu, Yong Feng, Feng Wang, Bang Liu, Jinchuan Tang

Int. J. Distributed Sens. Networks, 2013

2012

You Take Care of the Drive, I Take Care of the Rule: A Traffic-Rule Awareness System Using Vehicular Sensors and Mobile Phones.

Xing Zhang, Jidong Zhao, Jinchuan Tang, Bang Liu

Int. J. Distributed Sens. Networks, 2012

Jam Eyes: A Traffic Jam Awareness and Observation System Using Mobile Phones.

Xing Zhang, Haigang Gong, Zongyi Xu, Jinchuan Tang, Bang Liu

Int. J. Distributed Sens. Networks, 2012

Let Me Take Care of Myself: A Vehicle Self-Gratification System Using Vehicular Sensors and Mobile Phones.

Xing Zhang, Haigang Gong, Kexiong Zeng, Jinchuan Tang, Nianbo Liu, Zongyi Xu, Bang Liu

Proceedings of the 8th International Conference on Mobile Ad-hoc and Sensor Networks, 2012

2011

A self-management approach for service developers of PaaS.

Hao Wei, Jin Shao, Bang Liu, Haiwen Liu, Qianxiang Wang, Hong Mei

Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011

2005

A novel wavelet method for noise analysis of nonlinear circuits.

Xuan Zeng, Bang Liu, Jun Tao, Charles C. Chiang, Dian Zhou

Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005

Block SAPOR: block Second-order Arnoldi method for Passive Order Reduction of multi-input multi-output RCS interconnect circuits.

Bang Liu, Xuan Zeng, Yangfeng Su, Jun Tao, Zhaojun Bai, Charles C. Chiang, Dian Zhou

Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005