| 2026 | ACL | rSIM: Incentivizing Reasoning Capabilities of LLMs via Reinforced Strategy Injection. | Sijia Chen, Baochun Li, Di Niu |
| 2026 | ACL | Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence. | Amirhosein Ghasemabadi, Keith G. Mills, Baochun Li, Di Niu |
| 2026 | ACL | PerfCoder: Large Language Models for Interpretable Code Performance Optimization. | Jiuding Yang, Shengyao Lu, Hongxuan Liu, Shayan Shirahmad Gale Bagi, Zahra Fazel, Tomasz Czajkowski, Di Niu |
| 2026 | WACV | Grounding Degradations in Natural Language for All-In-One Video Restoration. | Muhammad Kamran Janjua, Amirhosein Ghasemabadi, Kunlin Zhang, Mohammad Salameh, Chao Gao, Di Niu |
| 2025 | AAAI | PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. | Liyao Jiang, Negar Hassanpour, Mohammad Salameh, Mohammadreza Samadi, Jiao He, Fengyu Sun, Di Niu |
| 2025 | AAAI | Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. | Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu |
| 2025 | AAAI | FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. | Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu |
| 2025 | CIKM | HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning. | Jerry Chen, Qikai Lu, Ruiqing Tian, Di Niu, Baochun Li |
| 2025 | CIKM | Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants. | Jiuding Yang, Hui Liu, Weidong Guo, Yu Xu, Di Niu |
| 2025 | COLING | TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution. | Jiuding Yang, Shengyao Lu, Weidong Guo, Xiangyang Li, Kaitong Yang, Yu Xu, Di Niu |
| 2025 | KDD | MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection. | Hongxuan Liu, Juliana Y. Leung, Di Niu |
| 2025 | MICRO | TransFusion: End-to-End Transformer Acceleration via Graph Fusion and Pipelining. | Linxuan Zhang, Jos Nelson Amaral, Di Niu |
| 2024 | ACL | Instruction Fusion: Advancing Prompt Evolution through Hybridization. | Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu |
| 2024 | CVPR | Building Optimal Neural Architectures Using Interpretable Knowledge. | Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu |
| 2024 | EMNLP | PepRec: Progressive Enhancement of Prompting for Recommendation. | Yakun Yu, Shiang Qi, Baochun Li, Di Niu |
| 2024 | ICLR | Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. | Sijia Chen, Baochun Li, Di Niu |
| 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 | SDM | HyperFLoRA: Federated Learning with Instantaneous Personalization. | Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li |
| 2024 | SDM | DimReg: Embedding Dimension Search via Regularization for Recommender Systems. | Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu |
| 2023 | AAAI | GENNAPE: Towards Generalized Neural Architecture Performance Estimators. | Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu |
| 2023 | AAAI | AIO-P: Expanding Neural Performance Predictors beyond Image Classification. | Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui |
| 2023 | ACL | Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition. | Jiuding Yang, Jinwen Luo, Weidong Guo, Di Niu, Yu Xu |
| 2023 | ACL | ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis. | Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo, Yu Xu |
| 2023 | ACL | ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. | Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu |
| 2023 | CIKM | Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. | Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu |
| 2023 | CIKM | iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. | Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu |
| 2023 | CVPR | Search-Map-Search: A Frame Selection Paradigm for Action Recognition. | Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu |
| 2023 | FPL | VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. | Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu |
| 2023 | ICLR | Reparameterization through Spatial Gradient Scaling. | Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu |
| 2023 | KDD | AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. | Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu |
| 2023 | MICRO | UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. | Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun |
| 2023 | PAKDD | TCR: Short Video Title Generation and Cover Selection with Attention Refinement. | Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu |
| 2023 | PAKDD | Online Volume Optimization for Notifications via Long Short-Term Value Modeling. | Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo |
| 2023 | WWW | CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. | Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu |
| 2023 | WSDM | One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. | Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu |
| 2023 | SDM | Optimal Smooth Approximation for Quantile Matrix Factorization. | Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu |
| 2023 | SDM | A General-Purpose Transferable Predictor for Neural Architecture Search. | Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu |
| 2023 | SDM | BDA: Bandit-based Transferable AutoAugment. | Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu |
| 2022 | ECCV | LA3: Efficient Label-Aware AutoAugment. | Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu |
| 2022 | EMNLP | MatRank: Text Re-ranking by Latent Preference Matrix. | Jinwen Luo, Jiuding Yang, Weidong Guo, Chenglin Li, Di Niu, Yu Xu |
| 2022 | ICLR | R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. | Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu |
| 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 | WSDM | RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. | Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu |
| 2021 | ACL | LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. | Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang |
| 2021 | CIKM | L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. | Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | CIKM | Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. | Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | CIKM | Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. | Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen |
| 2021 | IJCAI | Generative Adversarial Neural Architecture Search. | Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui |
| 2021 | WWW | Meta-HAR: Federated Representation Learning for Human Activity Recognition. | Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang |
| 2021 | WWW | Verdi: Quality Estimation and Error Detection for Bilingual Corpora. | Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang |
| 2020 | AAAI | Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. | Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang |
| 2020 | INFOCOM | Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. | Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li |
| 2020 | Interspeech | Neural Architecture Search for Keyword Spotting. | Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui |
| 2020 | KDD | Meta-Learning for Query Conceptualization at Web Scale. | Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long |
| 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 | AAAI | Learning Diffusions without Timestamps. | Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao |
| 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 | INFOCOM | Distributed Machine Learning with a Serverless Architecture. | Hao Wang, Di Niu, Baochun Li |
| 2019 | KDD | A Deep Generative Approach to Search Extrapolation and Recommendation. | Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu |
| 2019 | KDD | FDML: A Collaborative Machine Learning Framework for Distributed Features. | Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou |
| 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 | Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. | Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, 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 | A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. | Yaochen Hu, Di Niu, Jianming Yang |
| 2018 | CIKM | Multiresolution Graph Attention Networks for Relevance Matching. | Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu |
| 2018 | CLOUD | Dynamic and Decentralized Global Analytics via Machine Learning. | Hao Wang, Di Niu, Baochun Li |
| 2018 | KDD | MIX: Multi-Channel Information Crossing for Text Matching. | Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, 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 | AAAI | Expectile Matrix Factorization for Skewed Data Analysis. | Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li |
| 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 |
| 2017 | INFOCOM | Robust web service recommendation via quantile matrix factorization. | Rui Zhu, Di Niu, Zongpeng Li |
| 2017 | INFOCOM | Optimal multicast in virtualized datacenter networks with software switches. | Rui Zhu, Di Niu, Baochun Li, Zongpeng Li |
| 2017 | MICCAI | Optic Disc Detection via Deep Learning in Fundus Images. | Peiyuan Xu, Cheng Wan, Jun Cheng, Di Niu, Jiang Liu |
| 2016 | CIKM | Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback. | Haolan Chen, Di Niu, Kunfeng Lai, Yu Xu, Masoud Ardakani |
| 2016 | ICDM | House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. | Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong |
| 2016 | INFOCOM | Reducing access latency in erasure coded cloud storage with local block migration. | Yaochen Hu, Di Niu |
| 2015 | INFOCOM | Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling. | Bang Liu, Di Niu, Zongpeng Li, H. Vicky Zhao |
| 2014 | ICDCS | Achieving Absolutely Optimal Block Pipelining in Organized Network Coded Gossip. | Majid Khabbazian, Di Niu |
| 2014 | INFOCOM | Congestion-aware internet pricing for media streaming. | Di Niu, Baochun Li |
| 2014 | NOSSDAV | Server Selection and Topology Control for Multi-Party Video Conferences. | Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu |
| 2013 | ICDCS | Dynamic Cloud Resource Reservation via Cloud Brokerage. | Wei Wang, Di Niu, Baochun Li, Ben Liang |
| 2013 | INFOCOM | An efficient distributed algorithm for resource allocation in large-scale coupled systems. | Di Niu, Baochun Li |
| 2012 | INFOCOM | A theory of cloud bandwidth pricing for video-on-demand providers. | Di Niu, Chen Feng, Baochun Li |
| 2012 | INFOCOM | Quality-assured cloud bandwidth auto-scaling for video-on-demand applications. | Di Niu, Hong Xu, Baochun Li, Shuqiao Zhao |
| 2012 | SIGMETRICS | Pricing cloud bandwidth reservations under demand uncertainty. | Di Niu, Chen Feng, Baochun Li |
| 2011 | INFOCOM | Asymptotic optimality of randomized peer-to-peer broadcast with network coding. | Di Niu, Baochun Li |
| 2011 | INFOCOM | Demand forecast and performance prediction in peer-assisted on-demand streaming systems. | Di Niu, Zimu Liu, Baochun Li, Shuqiao Zhao |
| 2011 | NOSSDAV | Understanding demand volatility in large VoD systems. | Di Niu, Baochun Li, Shuqiao Zhao |
| 2010 | INFOCOM | Topological Properties Affect the Power of Network Coding in Decentralized Broadcast. | Di Niu, Baochun Li |
| 2008 | ICDCS | Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection. | Di Niu, Baochun Li |
| 2007 | IWQoS | On the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. | Di Niu, Baochun Li |
| 2006 | CISS | Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers. | Di Niu, Xianhua Dai |