Nan Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
82
Venues
31
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*ACL12 papers
- A*ICDM8 papers
- A*KDD7 papers
- A*ICML6 papers
- A*ICLR5 papers
- ADATE3 papers
- A*AAAI3 papers
- BCOLING3 papers
- A*EMNLP3 papers
- ACIKM3 papers
- ASDM3 papers
- CISCAS2 papers
- A*WWW2 papers
- A*SIGIR2 papers
- AAISTATS2 papers
- BSMC2 papers
- CADMA2 papers
- BETS1 paper
- A*ECCV1 paper
- MulticonferenceICASSP1 paper
- ARecSys1 paper
- A*IJCAI1 paper
- BLREC1 paper
- AWSDM1 paper
- A*ICRA1 paper
- ACSCW1 paper
- BICPR1 paper
- AIUI1 paper
- BIM1 paper
- AICWS1 paper
- CAPSCC1 paper
Papers
82 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Invocation Refiner: A Plug-and-Play Module for Rectifying LLM Tool Invocations. | Qirui Jiao, Dian Jiao, Nan Du, Ying Shen, Liang Lin |
| 2026 | ACL | Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding. | Weixu Zhang, Fanghua Ye, Qiang Gao, Jian Li, Haolun Wu, Yuxing Tian, Sijing Duan, Nan Du, Xiaolong Li |
| 2026 | DATE | Synthesizing Mixed-Mode Operations for Memristors using Majority Decomposition. | Felix Bayhurst, Li-Wei Chen, Kefeng Li, Heidemarie Krger, Nan Du, Ilia Polian |
| 2026 | ETS | Special Session: Hardware Security at the Circuit and Layout Levels. | Sajjad Parvin, Carl Riehm, Nan Du, Ralf Brederlow, Frank Sill Torres, Rolf Drechsler |
| 2025 | AAAI | Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs. | Xiaqiang Tang, Jian Li, Nan Du, Sihong Xie |
| 2025 | ACL | Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding. | Zhanpeng Chen, Mingxiao Li, Ziyang Chen, Nan Du, Xiaolong Li, Yuexian Zou |
| 2025 | ACL | CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision. | Yifei Lu, Fanghua Ye, Jian Li, Qiang Gao, Cheng Liu, Haibo Luo, Nan Du, Xiaolong Li, Feiliang Ren |
| 2025 | ACL | S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning. | Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du, Jia Li |
| 2025 | ACL | CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models. | Xiaqiang Tang, Jian Li, Keyu Hu, Nan Du, Xiaolong Li, Xi Zhang, Weigao Sun, Sihong Xie |
| 2025 | ACL | ToolExpNet: Optimizing Multi-Tool Selection in LLMs with Similarity and Dependency-Aware Experience Networks. | Zijing Zhang, Zhanpeng Chen, He Zhu, Ziyang Chen, Nan Du, Xiaolong Li |
| 2025 | COLING | MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity. | Xiaqiang Tang, Qiang Gao, Jian Li, Nan Du, Qi Li, Sihong Xie |
| 2025 | DATE | Optimal Synthesis of Memristive Mixed-Mode Circuits. | Ilia Polian, Xianyue Zhao, Li-Wei Chen, Felix Bayhurst, Ziang Chen, Heidemarie Schmidt, Nan Du |
| 2025 | ICLR | EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing. | Haotian Sun, Tao Lei, Bowen Zhang, Yanghao Li, Haoshuo Huang, Ruoming Pang, Bo Dai, Nan Du |
| 2025 | ICML | Instruction-Following Pruning for Large Language Models. | Bairu Hou, Qibin Chen, Jianyu Wang, Guoli Yin, Chong Wang, Nan Du, Ruoming Pang, Shiyu Chang, Tao Lei |
| 2024 | ACL | Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game. | Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Peixin Cao, Nan Du, Xiaolong Li |
| 2024 | ACL | Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers. | Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, Nan Du |
| 2024 | ECCV | MM1: Methods, Analysis and Insights from Multimodal LLM Pre-training. | Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Sam Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Xianzhi Du, Futang Peng, Anton Belyi, Haotian Zhang, Karanjeet Singh, Doug Kang, Hongyu H, Max Schwarzer, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev, Yinfei Yang |
| 2024 | EMNLP | On Diversified Preferences of Large Language Model Alignment. | Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou |
| 2024 | ISCAS | Realization of Reading-based Ternary Łukasiewicz Logic using Memristive Devices. | Feng Liu, Xianyue Zhao, Ziang Chen, Christopher Bengel, Nan Du, Stephan Menzel |
| 2023 | EMNLP | More Than Spoken Words: Nonverbal Message Extraction and Generation. | Dian Yu, Xiaoyang Wang, Wanshun Chen, Nan Du, Longyue Wang, Haitao Mi, Dong Yu |
| 2023 | ICASSP | Massively Multilingual Shallow Fusion with Large Language Models. | Ke Hu, Tara N. Sainath, Bo Li, Nan Du, Yanping Huang, Andrew M. Dai, Yu Zhang, Rodrigo Cabrera, Zhifeng Chen, Trevor Strohman |
| 2023 | ICLR | ReAct: Synergizing Reasoning and Acting in Language Models. | Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R. Narasimhan, Yuan Cao |
| 2023 | ICML | Lifelong Language Pretraining with Distribution-Specialized Experts. | Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui |
| 2023 | ICML | Brainformers: Trading Simplicity for Efficiency. | Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean |
| 2022 | ICLR | Finetuned Language Models are Zero-Shot Learners. | Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, Quoc V. Le |
| 2022 | ICML | GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. | Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui |
| 2021 | DATE | Nano Security: From Nano-Electronics to Secure Systems. | Ilia Polian, Frank Altmann, Tolga Arul, Christian Boit, Ralf Brederlow, Lucas Davi, Rolf Drechsler, Nan Du, Thomas Eisenbarth, Tim Gneysu, Sascha Hermann, Matthias Hiller, Rainer Leupers, Farhad Merchant, Thomas Mussenbrock, Stefan Katzenbeisser, Akash Kumar, Wolfgang Kunz, Thomas Mikolajick, Vivek Pachauri, Jean-Pierre Seifert, Frank Sill Torres, Jens Trommer |
| 2021 | KDD | Knowledge-Guided Efficient Representation Learning for Biomedical Domain. | Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang |
| 2021 | RecSys | Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems. | Hitesh Khandelwal, Viet Ha-Thuc, Avishek Dutta, Yining Lu, Nan Du, Zhihao Li, Qi Hu |
| 2020 | AAAI | On the Generation of Medical Question-Answer Pairs. | Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan |
| 2020 | IJCAI | Entity Synonym Discovery via Multipiece Bilateral Context Matching. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2020 | KDD | Deep State-Space Generative Model For Correlated Time-to-Event Predictions. | Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui |
| 2020 | LREC | The Medical Scribe: Corpus Development and Model Performance Analyses. | Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yuhui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin S. Paul |
| 2019 | AAAI | Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. | Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen |
| 2019 | ACL | Extracting Symptoms and their Status from Clinical Conversations. | Nan Du, Kai Chen, Anjuli Kannan, Linh Tran, Yuhui Chen, Izhak Shafran |
| 2019 | ACL | Multi-grained Named Entity Recognition. | Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu |
| 2019 | ACL | Joint Slot Filling and Intent Detection via Capsule Neural Networks. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2019 | CIKM | MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. | Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei |
| 2019 | EMNLP | Learning to Infer Entities, Properties and their Relations from Clinical Conversations. | Nan Du, Mingqiu Wang, Linh Tran, Gang Lee, Izhak Shafran |
| 2019 | WWW | MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. | Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan |
| 2019 | SDM | Path-based Attribute-aware Representation Learning for Relation Prediction. | Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang |
| 2018 | COLING | Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. | Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei |
| 2018 | COLING | Cooperative Denoising for Distantly Supervised Relation Extraction. | Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen |
| 2018 | ICDM | IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. | Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei |
| 2018 | ICDM | MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. | Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang |
| 2018 | ICLR | Time-Dependent Representation for Neural Event Sequence Prediction. | Yang Li, Nan Du, Samy Bengio |
| 2018 | KDD | On the Generative Discovery of Structured Medical Knowledge. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2018 | SIGIR | Ontology Evaluation with Path-based Text-aware Entropy Computation. | Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei |
| 2018 | SIGIR | Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. | Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei |
| 2017 | WSDM | Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. | Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun |
| 2016 | ICDM | Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. | Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang |
| 2016 | ICML | Isotonic Hawkes Processes. | Yichen Wang, Bo Xie, Nan Du, Le Song |
| 2016 | ICRA | Robust control of automated manufacturing systems with assembly operations using petri nets. | Nan Du, Hesuan Hu, Yang Liu |
| 2016 | ISCAS | BiFeO3 memristor-based encryption of medical data. | Alon Ascoli, Vanessa Senger, Ronald Tetzlaff, Nan Du, Oliver G. Schmidt, Heidemarie Schmidt |
| 2016 | KDD | Recurrent Marked Temporal Point Processes: Embedding Event History to Vector. | Nan Du, Hanjun Dai, Rakshit S. Trivedi, Utkarsh Upadhyay, Manuel Gomez-Rodriguez, Le Song |
| 2016 | WWW | Mining User Intentions from Medical Queries: A Neural Network Based Heterogeneous Jointly Modeling Approach. | Chenwei Zhang, Wei Fan, Nan Du, Philip S. Yu |
| 2015 | AISTATS | Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades. | Mehrdad Farajtabar, Manuel Gomez-Rodriguez, Mohammad Zamani, Nan Du, Hongyuan Zha, Le Song |
| 2015 | ICDM | Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process. | Edward Choi, Nan Du, Robert Chen, Le Song, Jimeng Sun |
| 2015 | KDD | Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams. | Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song |
| 2015 | KDD | Random Decision Hashing for Massive Data Learning. | Xiatian Zhang, Wei Fan, Nan Du |
| 2015 | SDM | Functional Node Detection on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang |
| 2014 | CIKM | Analysis on Community Variational Trend in Dynamic Networks. | Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang |
| 2014 | ICDM | LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang |
| 2014 | ICML | Influence Function Learning in Information Diffusion Networks. | Nan Du, Yingyu Liang, Maria-Florina Balcan, Le Song |
| 2014 | SDM | A Deep Learning Approach to Link Prediction in Dynamic Networks. | Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang |
| 2013 | AISTATS | Uncover Topic-Sensitive Information Diffusion Networks. | Nan Du, Le Song, Hyenkyun Woo, Hongyuan Zha |
| 2013 | ICDM | Progression Analysis of Community Strengths in Dynamic Networks. | Nan Du, Jing Gao, Aidong Zhang |
| 2013 | ICDM | Learning, Analyzing and Predicting Object Roles on Dynamic Networks. | Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang |
| 2012 | CSCW | HappyGo: a field trial of local group buying. | Huanglingzi Liu, Wei Wang, Dong Liu, Hao Wang, Nan Du |
| 2010 | ICPR | Paired Transform Slice Theorem of 2-D Image Reconstruction from Projections. | Serkan Dursun, Nan Du, Artyom M. Grigoryan |
| 2009 | KDD | Large human communication networks: patterns and a utility-driven generator. | Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu |
| 2009 | SMC | New formula for image reconstruction from projections by the 2-D paired transformation. | Artyom M. Grigoryan, Nan Du |
| 2009 | SMC | Mixed Fourier transforms and image encryption. | Artyom M. Grigoryan, Sree Devineni, Nan Du |
| 2008 | ADMA | DMGrid: A Data Mining System Based on Grid Computing. | Yi Wang, Liutong Xu, Guanhui Geng, Xiangang Zhao, Nan Du |
| 2008 | CIKM | Overlapping community structure detection in networks. | Nan Du, Bai Wang, Bin Wu |
| 2008 | IUI | Improved recommendation based on collaborative tagging behaviors. | Shiwan Zhao, Nan Du, Andreas Nauerz, Xiatian Zhang, Quan Yuan, Rongyao Fu |
| 2007 | IM | A Version-aware Approach for Web Service Client Application. | Ru Fang, Ying Chen, Liana Fong, Linh Lam, David Frank, Christopher Vignola, Nan Du |
| 2007 | ICWS | A Version-aware Approach for Web Service Directory. | Ru Fang, Linh Lam, Liana Fong, David Frank, Christopher Vignola, Ying Chen, Nan Du |
| 2006 | ADMA | A New Algorithm for Enumerating All Maximal Cliques in Complex Network. | Li Wan, Bin Wu, Nan Du, Qi Ye, Ping Chen |
| 2006 | APSCC | GOI-Based Information Service Architecture in Grid. | Xiangang Zhao, Bai Wang, Liutong Xu, Nan Du |
| 2006 | ICDM | A Parallel Algorithm for Enumerating All Maximal Cliques in Complex Network. | Nan Du, Bin Wu, Liutong Xu, Bai Wang, Xin Pei |