Bang Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
79
Venues
26
Active years
2005–2026
Best venue rank
A*
Where they publish
- A*ACL16 papers
- A*EMNLP13 papers
- A*WWW8 papers
- A*ICLR7 papers
- A*AAAI3 papers
- ACIKM3 papers
- A*ICDE3 papers
- A*KDD3 papers
- ANAACL2 papers
- BPAKDD2 papers
- BDASFAA2 papers
- A*ICDM2 papers
- BASPDAC2 papers
- A*ECCV1 paper
- A*ICML1 paper
- A*IJCAI1 paper
- AEACL1 paper
- A*ICCV1 paper
- AWSDM1 paper
- A*CVPR1 paper
- A*ICSE1 paper
- CKSEM1 paper
- A*SIGIR1 paper
- A*SIGMOD1 paper
- BCLOUD1 paper
- A*INFOCOM1 paper
Papers
79 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles. | Mengtao Zhou, Sifan Wu, Huan Zhang, Qi Sima, Bang Liu |
| 2026 | ACL | Concise Math Reasoning via Difficulty-Aware Distillation. | Yifan Wu, Jingze Shi, Bingheng Wu, Jiayi Zhang, Xiaotian Lin, Yizhang Zhu, Zhaoyang Yu, Bang Liu, Chenglin Wu, Nan Tang, Yuyu Luo |
| 2026 | ACL | Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science. | Sifan Wu, Huan Zhang, Yizhan Li, Farshid Effaty, Hongyuan Mei, Amirreza Ataei, Bang Liu |
| 2026 | WWW | EIAN: Explicit Interaction-aware Attention Network for Interpretable Event Modeling. | Jiping Zhang, Hua Zhu, Hong Huang, Yongkang Zhou, Kehan Yin, Bang Liu |
| 2025 | ACL | R³Mem: Bridging Memory Retention and Retrieval via Reversible Compression. | Xiaoqiang Wang, Suyuchen Wang, Yun Zhu, Bang Liu |
| 2025 | ACL | Data Interpreter: An LLM Agent for Data Science. | Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Robert Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Yongxin Ni, Zhibin Gou, Zongze Xu, Yuyu Luo, Chenglin Wu |
| 2025 | EMNLP | LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet? | Rushil Gupta, Jason Hartford, Bang Liu |
| 2025 | EMNLP | Improving Context Fidelity via Native Retrieval-Augmented Reasoning. | Suyuchen Wang, Jinlin Wang, Xinyu Wang, Shiqi Li, Xiangru Tang, Sirui Hong, Xiao-Wen Chang, Chenglin Wu, Bang Liu |
| 2025 | EMNLP | INDOORWORLD : Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment. | Dekun Wu, Frederik Brudy, Bang Liu, Yi Wang |
| 2025 | ICLR | MatExpert: Decomposing Materials Discovery By Mimicking Human Experts. | Qianggang Ding, Santiago Miret, Bang Liu |
| 2025 | ICLR | OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning. | Xiaoqiang Wang, Bang Liu |
| 2025 | ICLR | VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. | Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | NAACL | 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 |
| 2025 | PAKDD | Improving Clinical Note Generation from Complex Doctor-Patient Conversation. | Yizhan Li, Sifan Wu, Christopher Smith, Thomas Lo, Bang Liu |
| 2025 | PAKDD | Analogy-Augmented Generation with Procedural Memory for Procedure Generation. | Kyle Roth, Rushil Gupta, Simon Hall, Bang Liu |
| 2024 | AAAI | 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 |
| 2024 | ACL | OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. | Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Ct, Bang Liu |
| 2024 | ACL | Resonance RoPE: Improving Context Length Generalization of Large Language Models. | Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu |
| 2024 | ACL | Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. | Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu |
| 2024 | ECCV | 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 |
| 2024 | EMNLP | Enhancing Healthcare LLM Trust with Atypical Presentations Recalibration. | Jeremy Qin, Bang Liu, Quoc Dinh Nguyen |
| 2024 | EMNLP | Enhancing Agent Learning through World Dynamics Modeling. | Zhiyuan Sun, Haochen Shi, Marc-Alexandre Ct, Glen Berseth, Xingdi Yuan, Bang Liu |
| 2024 | EMNLP | FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. | Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu |
| 2024 | EMNLP | HoneyComb: A Flexible LLM-Based Agent System for Materials Science. | Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu |
| 2024 | ICLR | GOAt: Explaining Graph Neural Networks via Graph Output Attribution. | Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu |
| 2024 | ICML | EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. | Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu |
| 2024 | IJCAI | CausalNET: Unveiling Causal Structures on Event Sequences by Topology-Informed Causal Attention. | Hua Zhu, Hong Huang, Kehan Yin, Zejun Fan, Hai Jin, Bang Liu |
| 2023 | AAAI | Identify Event Causality with Knowledge and Analogy. | Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu |
| 2023 | ACL | Search-Oriented Conversational Query Editing. | Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao |
| 2023 | ACL | MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. | Yu Song, Santiago Miret, Bang Liu |
| 2023 | ACL | SkillQG: Learning to Generate Question for Reading Comprehension Assessment. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2023 | ACL | Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. | Zhong Zhang, Bang Liu, Junming Shao |
| 2023 | EACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Efficient Classification of Long Documents via State-Space Models. | Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev |
| 2023 | EMNLP | HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. | Yu Song, Santiago Miret, Huan Zhang, Bang Liu |
| 2023 | ICCV | 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 |
| 2023 | WWW | Learning Denoised and Interpretable Session Representation for Conversational Search. | Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao |
| 2023 | WSDM | Can Pre-trained Language Models Understand Chinese Humor? | Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen |
| 2022 | ACL | Feeding What You Need by Understanding What You Learned. | Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu |
| 2022 | CIKM | 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 |
| 2022 | CVPR | MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. | Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu |
| 2022 | DASFAA | 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 |
| 2022 | DASFAA | 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 |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. | Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu |
| 2022 | ICDE | 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 |
| 2022 | ICDE | Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. | Yuyan Chen, Yanghua Xiao, Bang Liu |
| 2022 | ICDE | 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 |
| 2022 | ICLR | R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. | Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu |
| 2022 | ICSE | Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. | Martin Weyssow, Houari A. Sahraoui, Bang Liu |
| 2022 | KDD | 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 |
| 2022 | KSEM | 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 |
| 2022 | WWW | 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 Lyu, 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 |
| 2022 | WWW | QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. | Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2021 | ACL | 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 |
| 2021 | ACL | Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. | Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin |
| 2021 | ACL | 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 |
| 2021 | EMNLP | Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. | Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu |
| 2021 | KDD | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2021 | NAACL | 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 |
| 2021 | WWW | 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 |
| 2021 | SIGIR | Deep Learning on Graphs for Natural Language Processing. | Lingfei Wu, Yu Chen, Heng Ji, Bang Liu |
| 2020 | WWW | Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. | Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He |
| 2020 | SIGMOD | GIANT: Scalable Creation of a Web-scale Ontology. | Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu |
| 2019 | ACL | Matching Article Pairs with Graphical Decomposition and Convolutions. | Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu |
| 2019 | KDD | 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 |
| 2019 | WWW | Learning to Generate Questions by LearningWhat not to Generate. | Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu |
| 2018 | CIKM | Multiresolution Graph Attention Networks for Relevance Matching. | Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu |
| 2018 | WWW | Matching Natural Language Sentences with Hierarchical Sentence Factorization. | Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu |
| 2017 | CIKM | Growing Story Forest Online from Massive Breaking News. | Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu |
| 2017 | CLOUD | Latency reduction and load balancing in coded storage systems. | Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang |
| 2017 | ICDM | Recover Fine-Grained Spatial Data from Coarse Aggregation. | Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu |
| 2016 | ICDM | House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. | Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong |
| 2015 | INFOCOM | Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling. | Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao |
| 2005 | ASPDAC | 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 |
| 2005 | ASPDAC | A novel wavelet method for noise analysis of nonlinear circuits. | Xuan Zeng, Bang Liu, Jun Tao, Charles C. Chiang, Dian Zhou |