| 2026 | AAAI | StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models. | Zehao Chen, Rong Pan, Haoran Li |
| 2025 | AAAI | SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers. | Zehao Chen, Rong Pan |
| 2025 | AAAI | Causal Discovery by Interventions via Integer Programming. | Abdelmonem Elrefaey, Rong Pan |
| 2025 | ICASSP | Simple Contrastive Learning with Knowledge Graphs for Story Generation. | Yu Zhu, Rong Pan |
| 2025 | ICDM | Human Digital Twin, Precision Healthcare, Health Monitoring, Anomaly Detection, Statistical and Machine Learning Models. | Rong Pan, Hongyue Sun, Xiaoyu Chen, Giulia Pedrielli, Jiapeng Huang |
| 2024 | EMNLP | Fill In The Gaps: Model Calibration and Generalization with Synthetic Data. | Yang Ba, Michelle Mancenido, Rong Pan |
| 2023 | ICANN | Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection. | Jiawen Peng, Jiaxin Chen, Yanxu Hu, Rong Pan, Andy J. Ma |
| 2022 | IJCAI | FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. | Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang |
| 2021 | ICCV | Neural Image Compression via Attentional Multi-scale Back Projection and Frequency Decomposition. | Ge Gao, Pei You, Rong Pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, Hojae Lee |
| 2021 | WWW | An Adversarial Transfer Network for Knowledge Representation Learning. | Huijuan Wang, Shuangyin Li, Rong Pan |
| 2021 | WWW | Incentive Mechanism for Horizontal Federated Learning Based on Reputation and Reverse Auction. | Jingwen Zhang, Yuezhou Wu, Rong Pan |
| 2020 | ESOP | Solving Program Sketches with Large Integer Values. | Rong Pan, Qinheping Hu, Rishabh Singh, Loris D'Antoni |
| 2020 | WWW | Adaptive Probabilistic Word Embedding. | Shuangyin Li, Yu Zhang, Rong Pan, Kaixiang Mo |
| 2020 | SIGCOMM | Annulus: A Dual Congestion Control Loop for Datacenter and WAN Traffic Aggregates. | Ahmed Saeed, Varun Gupta, Prateesh Goyal, Milad Sharif, Rong Pan, Mostafa H. Ammar, Ellen W. Zegura, Keon Jang, Mohammad Alizadeh, Abdul Kabbani, Amin Vahdat |
| 2019 | AAAI | Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding. | Peifeng Wang, Jialong Han, Chenliang Li, Rong Pan |
| 2019 | ACL | A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation. | Feng Nie, Jin-Ge Yao, Jinpeng Wang, Rong Pan, Chin-Yew Lin |
| 2019 | EMNLP | Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning. | Heng Wang, Shuangyin Li, Rong Pan, Mingzhi Mao |
| 2019 | INLG | An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation. | Feng Nie, Jinpeng Wang, Rong Pan, Chin-Yew Lin |
| 2018 | AAAI | Mention and Entity Description Co-Attention for Entity Disambiguation. | Feng Nie, Yunbo Cao, Jinpeng Wang, Chin-Yew Lin, Rong Pan |
| 2018 | AAAI | Incorporating GAN for Negative Sampling in Knowledge Representation Learning. | Peifeng Wang, Shuangyin Li, Rong Pan |
| 2018 | CoNLL | Aggregated Semantic Matching for Short Text Entity Linking. | Feng Nie, Shuyan Zhou, Jing Liu, Jinpeng Wang, Chin-Yew Lin, Rong Pan |
| 2018 | EMNLP | Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. | Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin |
| 2017 | AAAI | Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression. | Yanju Chen, Rong Pan |
| 2017 | AAAI | Recurrent Attentional Topic Model. | Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang |
| 2017 | CIKM | Length Adaptive Recurrent Model for Text Classification. | Zhengjie Huang, Zi Ye, Shuangyin Li, Rong Pan |
| 2017 | IJCAI | Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding. | Shuangyin Li, Rong Pan, Jun Yan |
| 2017 | NSDI | Let It Flow: Resilient Asymmetric Load Balancing with Flowlet Switching. | Erico Vanini, Rong Pan, Mohammad Alizadeh, Parvin Taheri, Tom Edsall |
| 2016 | UAI | Correlated Tag Learning in Topic Model. | Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang |
| 2015 | AAAI | Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel. | Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai |
| 2014 | KDD | Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors. | Xiaomin Fang, Rong Pan |
| 2014 | SIGCOMM | CONGA: distributed congestion-aware load balancing for datacenters. | Mohammad Alizadeh, Tom Edsall, Sarang Dharmapurikar, Ramanan Vaidyanathan, Kevin Chu, Andy Fingerhut, Vinh The Lam, Francis Matus, Rong Pan, Navindra Yadav, George Varghese |
| 2013 | HPSR | PIE: A lightweight control scheme to address the bufferbloat problem. | Rong Pan, Preethi Natarajan, Chiara Piglione, Mythili Suryanarayana Prabhu, Vijay G. Subramanian, Fred Baker, Bill VerSteeg |
| 2013 | ICDM | Tag-Weighted Dirichlet Allocation. | Shuangyin Li, Guan Huang, Ruiyang Tan, Rong Pan |
| 2013 | IJCAI | Tag-Weighted Topic Model for Mining Semi-Structured Documents. | Shuangyin Li, Jiefei Li, Rong Pan |
| 2013 | KDD | Feature engineering and tree modeling for author-paper identification challenge. | Jiefei Li, Xiaocong Liang, Weijie Ding, Weidong Yang, Rong Pan |
| 2013 | MMSP | Fixing multi-client oscillations in HTTP-based adaptive streaming: A control theoretic approach. | Xiaoqing Zhu, Zhi Li, Rong Pan, Joshua Gahm, Hao Hu |
| 2012 | PAKDD | Learning Tree Structure of Label Dependency for Multi-label Learning. | Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog |
| 2012 | RecSys | Constrained collective matrix factorization. | Yu-Jia Huang, Evan Wei Xiang, Rong Pan |
| 2011 | ADMA | APPECT: An Approximate Backbone-Based Clustering Algorithm for Tags. | Yu Zong, Guandong Xu, Ping Jin, Yanchun Zhang, Enhong Chen, Rong Pan |
| 2011 | CIKM | Leveraging Wikipedia concept and category information to enhance contextual advertising. | Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu, Jianfeng Lu |
| 2011 | IJCAI | Bi-Weighting Domain Adaptation for Cross-Language Text Classification. | Chang Wan, Rong Pan, Jiefei Li |
| 2011 | KES | On Kernel Information Propagation for Tag Clustering in Social Annotation Systems. | Guandong Xu, Yu Zong, Rong Pan, Peter Dolog, Ping Jin |
| 2011 | RecSys | Adaptive social similarities for recommender systems. | Le Yu, Rong Pan, Zhangfeng Li |
| 2010 | AIMSA | Time Optimized Algorithm for Web Document Presentation Adaptation. | Rong Pan, Peter Dolog |
| 2010 | HOTI | AF-QCN: Approximate Fairness with Quantized Congestion Notification for Multi-tenanted Data Centers. | Abdul Kabbani, Mohammad Alizadeh, Masato Yasuda, Rong Pan, Balaji Prabhakar |
| 2010 | INFOCOM | Layered Internet Video Engineering (LIVE): Network-Assisted Bandwidth Sharing and Transient Loss Protection for Scalable Video Streaming. | Xiaoqing Zhu, Rong Pan, Nandita Dukkipati, Vijay G. Subramanian, Flavio Bonomi |
| 2009 | ISM | A Network-Assisted Scheme for Bandwidth Allocation among Video Streams. | Mythili Suryanarayana Prabhu, Xiaoqing Zhu, Rong Pan, Vijay G. Subramanian, Flavio Bonomi |
| 2009 | KDD | Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering. | Rong Pan, Martin Scholz |
| 2008 | AAIM | Large-Scale Parallel Collaborative Filtering for the Netflix Prize. | Yunhong Zhou, Dennis M. Wilkinson, Robert Schreiber, Rong Pan |
| 2008 | ICDM | One-Class Collaborative Filtering. | Rong Pan, Yunhong Zhou, Bin Cao, Nathan Nan Liu, Rajan M. Lukose, Martin Scholz, Qiang Yang |
| 2007 | KDD | Domain-constrained semi-supervised mining of tracking models in sensor networks. | Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeffrey Junfeng Pan, Dou Shen, Sinno Jialin Pan, Qiang Yang |
| 2006 | AAAI | Using the Semantic Web to Integrate Ecoinformatics Resources. | Cynthia Sims Parr, Andriy Parafiynyk, Joel Sachs, Rong Pan, Lushan Han, Li Ding, Tim Finin, David Wang |
| 2006 | ICTAI | Belief Update in Bayesian Networks Using Uncertain Evidence. | Rong Pan, Yun Peng, Zhongli Ding |
| 2005 | AAAI | Swoogle: Searching for Knowledge on the Semantic Web. | Timothy W. Finin, Li Ding, Rong Pan, Anupam Joshi, Pranam Kolari, Akshay Java, Yun Peng |
| 2005 | AAAI | Competence Driven Case-Base Mining. | Rong Pan, Qiang Yang, Jeffrey Junfeng Pan, Lei Li |
| 2005 | AAAI | A Framework for Bayesian Network Mapping. | Rong Pan, Yun Peng |
| 2004 | CIKM | Swoogle: a search and metadata engine for the semantic web. | Li Ding, Timothy W. Finin, Anupam Joshi, Rong Pan, R. Scott Cost, Yun Peng, Pavan Reddivari, Vishal Doshi, Joel Sachs |
| 2004 | GLOBECOM | Fair scheduling in input-queued switches under inadmissible traffic. | Neha Kumar, Rong Pan, Devavrat Shah |
| 2004 | GLOBECOM | An in-band easy-to-deploy mechanism for network-to-transport signaling. | Mayank Sharma, Dina Katabi, Rong Pan, Balaji Prabhakar |
| 2004 | Networking | The Undismissible Rats: How Do Short Connections Affect Long-Lived TCP Flows under Moderate Traffic Load? | Rong Pan |
| 2003 | IJCAI | TAGA: Travel Market Framework in Agentcities. | Youyong Zou, Timothy W. Finin, Li Ding, Harry Chen, Rong Pan |
| 2003 | INFOCOM | SHRiNK: A method for scaleable performance prediction and efficient network simulation. | Rong Pan, Balaji Prabhakar, Konstantinos Psounis, Damon Wischik |
| 2002 | HOTI | A Flow Table-Based Design to Approximate Fairness. | Rong Pan, Lee Breslau, Balaji Prabhakar, Scott Shenker |
| 2000 | INFOCOM | CHOKE, A Stateless Active Queue Management Scheme for Approximating Fair Bandwidth Allocation. | Rong Pan, Balaji Prabhakar, Konstantinos Psounis |