Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers. - Di Niu; Xianhua Dai (CISS, 2006)

On the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. - Di Niu; Baochun Li (IWQoS, 2007)

Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection. - Di Niu; Baochun Li (ICDCS, 2008)

Asymptotic rate limits for randomized broadcasting with network coding. - Di Niu; Baochun Li (Allerton, 2009)

How P2P streaming systems scale over time under a flash crowd? - Fangming Liu; Bo Li 001; Lili Zhong; Baochun Li; Di Niu (IPTPS, 2009)

Topological Properties Affect the Power of Network Coding in Decentralized Broadcast. - Di Niu; Baochun Li (INFOCOM, 2010)

Self-diagnostic peer-assisted video streaming through a learning framework. - Di Niu; Baochun Li; Shuqiao Zhao (ACM Multimedia, 2010)

Asymptotic optimality of randomized peer-to-peer broadcast with network coding. - Di Niu; Baochun Li (INFOCOM, 2011)

Demand forecast and performance prediction in peer-assisted on-demand streaming systems. - Di Niu; Zimu Liu; Baochun Li; Shuqiao Zhao (INFOCOM, 2011)

Risk management for video-on-demand servers leveraging demand forecast. - Di Niu; Hong Xu 001; Baochun Li; Shuqiao Zhao (ACM Multimedia, 2011)

Understanding demand volatility in large VoD systems. - Di Niu; Baochun Li; Shuqiao Zhao (NOSSDAV, 2011)

Random Network Coding in Peer-to-Peer Networks: From Theory to Practice. - Baochun Li; Di Niu (Proc. IEEE, 2011)

Analyzing the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks. - Di Niu; Baochun Li (IEEE Trans. Parallel Distributed Syst., 2011)

A theory of cloud bandwidth pricing for video-on-demand providers. - Di Niu; Chen Feng 001; Baochun Li (INFOCOM, 2012)

Quality-assured cloud bandwidth auto-scaling for video-on-demand applications. - Di Niu; Hong Xu 001; Baochun Li; Shuqiao Zhao (INFOCOM, 2012)

Pricing cloud bandwidth reservations under demand uncertainty. - Di Niu; Chen Feng 001; Baochun Li (SIGMETRICS, 2012)

Dynamic Cloud Resource Reservation via Cloud Brokerage. - Wei Wang 030; Di Niu; Baochun Li; Ben Liang 001 (ICDCS, 2013)

An efficient distributed algorithm for resource allocation in large-scale coupled systems. - Di Niu; Baochun Li (INFOCOM, 2013)

Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. - Fangming Liu; Peng Shu; Hai Jin 001; Linjie Ding; Jie Yu; Di Niu; Bo Li 001 (IEEE Wirel. Commun., 2013)

Achieving Absolutely Optimal Block Pipelining in Organized Network Coded Gossip. - Majid Khabbazian; Di Niu (ICDCS, 2014)

Congestion-aware internet pricing for media streaming. - Di Niu; Baochun Li (INFOCOM Workshops, 2014)

Min-cost live webcast under joint pricing of data, congestion and virtualized servers. - Rui Zhu 007; Di Niu; Baochun Li (NetGCooP, 2014)

Server Selection and Topology Control for Multi-Party Video Conferences. - Shuopeng Zhang; Di Niu; Yaochen Hu 001; Fangming Liu (NOSSDAV, 2014)

Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling. - Bang Liu; Di Niu; Zongpeng Li; H. Vicky Zhao (INFOCOM, 2015)

Heat Transfer and Friction Characteristics of the Microfluidic Heat Sink with Variously-Shaped Ribs for Chip Cooling. - Gui-Lian Wang; Da-Wei Yang; Yan Wang; Di Niu; Xiao-Lin Zhao; Guifu Ding (Sensors, 2015)

Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage. - Wei Wang 030; Di Niu; Ben Liang 001; Baochun Li (IEEE Trans. Parallel Distributed Syst., 2015)

Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback. - Haolan Chen; Di Niu; Kunfeng Lai; Yu Xu; Masoud Ardakani (CIKM, 2016)

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis. - Bang Liu; Borislav Mavrin; Di Niu; Linglong Kong (ICDM, 2016)

Reducing access latency in erasure coded cloud storage with local block migration. - Yaochen Hu 001; Di Niu (INFOCOM, 2016)

Mitigating Routing Inefficiencies to Cloud-Storage Providers: A Case Study. - Soham Sinha; Di Niu; Zhi Wang; Paul Lu (IPDPS Workshops, 2016)

A Geometric Approach to Server Selection for Interactive Video Streaming. - Yaochen Hu 001; Di Niu; Zongpeng Li (IEEE Trans. Multim., 2016)

Delay-Optimized Video Traffic Routing in Software-Defined Interdatacenter Networks. - Yinan Liu; Di Niu; Baochun Li (IEEE Trans. Multim., 2016)

An Asynchronous Fixed-Point Algorithm for Resource Sharing With Coupled Objectives. - Di Niu; Baochun Li (IEEE/ACM Trans. Netw., 2016)

Achieving Optimal Block Pipelining in Organized Network Coded Gossip. - Majid Khabbazian; Di Niu (IEEE Trans. Parallel Distributed Syst., 2016)

Expectile Matrix Factorization for Skewed Data Analysis. - Rui Zhu 007; Di Niu; Linglong Kong; Zongpeng Li (AAAI, 2017)

Growing Story Forest Online from Massive Breaking News. - Bang Liu; Di Niu; Kunfeng Lai; Linglong Kong; Yu Xu (CIKM, 2017)

Latency reduction and load balancing in coded storage systems. - Yaochen Hu 001; Yushi Wang; Bang Liu; Di Niu; Cheng Huang 002 (SoCC, 2017)

Recover Fine-Grained Spatial Data from Coarse Aggregation. - Bang Liu; Borislav Mavrin; Linglong Kong; Di Niu (ICDM, 2017)

Robust web service recommendation via quantile matrix factorization. - Rui Zhu 007; Di Niu; Zongpeng Li (INFOCOM, 2017)

Optimal multicast in virtualized datacenter networks with software switches. - Rui Zhu 007; Di Niu; Baochun Li; Zongpeng Li (INFOCOM, 2017)

Optic Disc Detection via Deep Learning in Fundus Images. - Peiyuan Xu; Cheng Wan 003; Jun Cheng 003; Di Niu; Jiang Liu 001 (FIFI/OMIA@MICCAI, 2017)

Resource Auto-Scaling and Sparse Content Replication for Video Storage Systems. - Di Niu; Hong Xu 001; Baochun Li (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017)

Cocoa: Dynamic Container-Based Group Buying Strategies for Cloud Computing. - Xiaomeng Yi; Fangming Liu; Di Niu; Hai Jin 001; John C. S. Lui (ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017)

Network Latency Estimation for Personal Devices: A Matrix Completion Approach. - Rui Zhu 007; Bang Liu; Di Niu; Zongpeng Li; Hong Vicky Zhao (IEEE/ACM Trans. Netw., 2017)

Cooper: Expedite Batch Data Dissemination in Computer Clusters with Coded Gossips. - Yan Liu; Di Niu; Majid Khabbazian (IEEE Trans. Parallel Distributed Syst., 2017)

A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. - Yaochen Hu 001; Di Niu; Jianming Yang (CIKM, 2018)

Multiresolution Graph Attention Networks for Relevance Matching. - Ting Zhang; Bang Liu; Di Niu; Kunfeng Lai; Yu Xu (CIKM, 2018)

Dynamic and Decentralized Global Analytics via Machine Learning. - Hao Wang 022; Di Niu; Baochun Li (SoCC, 2018)

MIX: Multi-Channel Information Crossing for Text Matching. - Haolan Chen; Fred X. Han; Di Niu; Dong Liu 026; Kunfeng Lai; Chenglin Wu; Yu Xu (KDD, 2018)

Matching Natural Language Sentences with Hierarchical Sentence Factorization. - Bang Liu; Ting Zhang; Fred X. Han; Di Niu; Kunfeng Lai; Yu Xu (WWW, 2018)

Matching Long Text Documents via Graph Convolutional Networks. - Bang Liu; Ting Zhang; Di Niu; Jinghong Lin; Kunfeng Lai; Yu Xu (CoRR, 2018)

Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization. - Rui Zhu 007; Di Niu; Zongpeng Li (CoRR, 2018)

A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization. - Rui Zhu 007; Di Niu; Zongpeng Li (CoRR, 2018)

A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems. - Rui Zhu 007; Di Niu (CoRR, 2018)

Stochastic Distributed Optimization for Machine Learning from Decentralized Features. - Yaochen Hu 001; Di Niu; Jianming Yang (CoRR, 2018)

Learning Diffusions without Timestamps. - Hao Huang 001; Qian Yan 001; Ting Gan; Di Niu; Wei Lu 015; Yunjun Gao (AAAI, 2019)

Matching Article Pairs with Graphical Decomposition and Convolutions. - Bang Liu; Di Niu; Haojie Wei; Jinghong Lin; Yancheng He; Kunfeng Lai; Yu Xu (ACL (1), 2019)

Distributed Machine Learning with a Serverless Architecture. - Hao Wang 022; Di Niu; Baochun Li (INFOCOM, 2019)

A Deep Generative Approach to Search Extrapolation and Recommendation. - Fred X. Han; Di Niu; Haolan Chen; Kunfeng Lai; Yancheng He; Yu Xu (KDD, 2019)

FDML: A Collaborative Machine Learning Framework for Distributed Features. - Yaochen Hu 001; Di Niu; Jianming Yang; Shengping Zhou (KDD, 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 (KDD, 2019)

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 (WWW, 2019)

Learning to Generate Questions by LearningWhat not to Generate. - Bang Liu; Mingjun Zhao; Di Niu; Kunfeng Lai; Yancheng He; Haojie Wei; Yu Xu (WWW, 2019)

Android Malware Detection Based on Factorization Machine. - Chenglin Li; Keith G. Mills; Di Niu; Rui Zhu 007; Hongwen Zhang 002; Husam Kinawi (IEEE Access, 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 Privately over Distributed Features: An ADMM Sharing Approach. - Yaochen Hu 001; Peng Liu 048; Linglong Kong; Di Niu (CoRR, 2019)

Wide-Area Spark Streaming: Automated Routing and Batch Sizing. - Wenxin Li 001; Di Niu; Yinan Liu; Shuhao Liu 001; Baochun Li (IEEE Trans. Parallel Distributed Syst., 2019)

Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. - Mingjun Zhao; Haijiang Wu; Di Niu; Xiaoli Wang 004 (AAAI, 2020)

Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. - Hao Wang 022; Zakhary Kaplan; Di Niu; Baochun Li (INFOCOM, 2020)

Neural Architecture Search for Keyword Spotting. - Tong Mo; Yakun Yu; Mohammad Salameh; Di Niu; Shangling Jui (INTERSPEECH, 2020)

Meta-Learning for Query Conceptualization at Web Scale. - Fred X. Han; Di Niu; Haolan Chen; Weidong Guo; Shengli Yan; Bowei Long (KDD, 2020)

GIANT: Scalable Creation of a Web-scale Ontology. - Bang Liu; Weidong Guo; Di Niu; Jinwen Luo; Chaoyue Wang; Zhen Wen; Yu Xu (SIGMOD Conference, 2020)

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. - Bang Liu; Haojie Wei; Di Niu; Haolan Chen; Yancheng He (WWW, 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)

Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. - Hao Wang 022; Di Niu; Baochun Li (IEEE Trans. Parallel Distributed Syst., 2020)

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 (ACL/IJCNLP (Findings), 2021)

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 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

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 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

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 (CIKM, 2021)

Generative Adversarial Neural Architecture Search. - Seyed Saeed Changiz Rezaei; Fred X. Han; Di Niu; Mohammad Salameh; Keith G. Mills; Shuo Lian; Wei Lu 023; Shangling Jui (IJCAI, 2021)

Meta-HAR: Federated Representation Learning for Human Activity Recognition. - Chenglin Li; Di Niu; Bei Jiang; Xiao Zuo; Jianming Yang (WWW, 2021)

Verdi: Quality Estimation and Error Detection for Bilingual Corpora. - Mingjun Zhao; Haijiang Wu; Di Niu; Zixuan Wang; Xiaoli Wang 004 (WWW, 2021)

Exploring Neural Architecture Search Space via Deep Deterministic Sampling. - Keith G. Mills; Mohammad Salameh; Di Niu; Fred X. Han; Seyed Saeed Changiz Rezaei; Hengshuai Yao; Wei Lu 023; Shuo Lian; Shangling Jui (IEEE Access, 2021)

Verdi: Quality Estimation and Error Detection for Bilingual. - Mingjun Zhao; Haijiang Wu; Di Niu; Zixuan Wang; Xiaoli Wang 004 (CoRR, 2021)

L$^{2}$NAS: 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 023; Shuo Lian; Shangling Jui; Di Niu (CoRR, 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)

Advanced algorithms for penalized quantile and composite quantile regression. - Matthew Pietrosanu; Jueyu Gao; Linglong Kong; Bei Jiang; Di Niu (Comput. Stat., 2021)

Similarity Embedding Networks for Robust Human Activity Recognition. - Chenglin Li; Carrie Lu Tong; Di Niu; Bei Jiang; Xiao Zuo; Lei Cheng 005; Jian Xiong; Jianming Yang (ACM Trans. Knowl. Discov. Data, 2021)

LA3: Efficient Label-Aware AutoAugment. - Mingjun Zhao; Shan Lu; Zixuan Wang; Xiaoli Wang 004; Di Niu (ECCV (21), 2022)

MatRank: Text Re-ranking by Latent Preference Matrix. - Jinwen Luo; Jiuding Yang; Weidong Guo; Chenglin Li; Di Niu; Yu Xu (EMNLP (Findings), 2022)

R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. - Shengyao Lu; Bang Liu; Keith G. Mills; Shangling Jui; Di Niu (ICLR, 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 (KDD, 2022)

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. - Chenglin Li; Mingjun Zhao; Huanming Zhang; Chenyun Yu; Lei Cheng 005; Guoqiang Shu; Beibei Kong; Di Niu (WSDM, 2022)

Self-Attentive Models for Real-Time Malware Classification. - Qikai Lu; Hongwen Zhang 002; Husam Kinawi; Di Niu (IEEE Access, 2022)

Factorizing Historical User Actions for Next-Day Purchase Prediction. - Bang Liu; Hanlin Zhang; Linglong Kong; Di Niu (ACM Trans. Web, 2022)

GENNAPE: Towards Generalized Neural Architecture Performance Estimators. - Keith G. Mills; Fred X. Han; Jialin Zhang; Fabian Chudak; Ali Safari Mamaghani; Mohammad Salameh; Wei Lu 023; Shangling Jui; Di Niu (AAAI, 2023)

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 023; Shangling Jui (AAAI, 2023)

Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition. - Jiuding Yang; Jinwen Luo; Weidong Guo; Di Niu; Yu Xu (ACL (Findings), 2023)

ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis. - Jiuding Yang; Yakun Yu; Di Niu; Weidong Guo; Yu Xu (ACL (1), 2023)

ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. - Yakun Yu; Mingjun Zhao; Shiang Qi; Feiran Sun; Baoxun Wang; Weidong Guo; Xiaoli Wang 004; Lei Yang; Di Niu (ACL (Findings), 2023)

Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. - Jiuding Yang; Jinwen Luo; Weidong Guo; Jerry Chen; Di Niu; Yu Xu (CIKM, 2023)

iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. - Yakun Yu; Shiang Qi; Jiuding Yang; Liyao Jiang; Di Niu (CIKM, 2023)

Search-Map-Search: A Frame Selection Paradigm for Action Recognition. - Mingjun Zhao; Yakun Yu; Xiaoli Wang 004; Lei Yang; Di Niu (CVPR, 2023)

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 (FPL, 2023)

Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features. - Ruoxi Li; Jie Nie; Chenglong Wang; Di Niu; Shusong Yu; Weizhi Nie; Xiangqian Ding (HCMA@MM, 2023)

Reparameterization through Spatial Gradient Scaling. - Alexander Detkov; Mohammad Salameh; Muhammad Fetrat Qharabagh; Jialin Zhang; Robin Luwei; Shangling Jui; Di Niu (ICLR, 2023)

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 (KDD, 2023)

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 (MICRO, 2023)

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. - Mohammad Salameh; Keith G. Mills; Negar Hassanpour; Fred X. Han; Shuting Zhang; Wei Lu 023; Shangling Jui; Chunhua Zhou; Fengyu Sun; Di Niu (NeurIPS, 2023)

TCR: Short Video Title Generation and Cover Selection with Attention Refinement. - Yakun Yu; Jiuding Yang; Weidong Guo; Hui Liu; Yu Xu; Di Niu (PAKDD (3), 2023)

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 (PAKDD (3), 2023)

Optimal Smooth Approximation for Quantile Matrix Factorization. - Peng Liu 048; Yi Liu 062; Rui Zhu 007; Linglong Kong; Bei Jiang; Di Niu (SDM, 2023)

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 023; Shangling Jui; Di Niu (SDM, 2023)

BDA: Bandit-based Transferable AutoAugment. - Shan Lu; Mingjun Zhao; Songling Yuan; Xiaoli Wang 004; Lei Yang; Di Niu (SDM, 2023)

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 (WSDM, 2023)

CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. - Mingjun Zhao; Mengzhen Wang; Yinglong Ma 001; Di Niu; Haijiang Wu (WWW, 2023)

Reparameterization through Spatial Gradient Scaling. - Alexander Detkov; Mohammad Salameh; Muhammad Fetrat Qharabagh; Jialin Zhang; Wei Lui; Shangling Jui; Di Niu (CoRR, 2023)

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. - Jian Ma; Mingjun Zhao; Chen Chen 015; Ruichen Wang; Di Niu; Haonan Lu; Xiaodong Lin 004 (CoRR, 2023)

Instruction Fusion: Advancing Prompt Evolution through Hybridization. - Weidong Guo; Jiuding Yang; Kaitong Yang; Xiangyang Li; Zhuwei Rao; Yu Xu; Di Niu (ACL (1), 2024)

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 (CVPR, 2024)

PepRec: Progressive Enhancement of Prompting for Recommendation. - Yakun Yu; Shiang Qi; Baochun Li; Di Niu (EMNLP, 2024)

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. - Sijia Chen; Baochun Li; Di Niu (ICLR, 2024)

GOAt: Explaining Graph Neural Networks via Graph Output Attribution. - Shengyao Lu; Keith G. Mills; Jiao He; Bang Liu; Di Niu (ICLR, 2024)

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. - Shengyao Lu; Bang Liu; Keith G. Mills; Jiao He; Di Niu (ICML, 2024)

Tuner: A New Approach For 3D Semantic Segmentation Using Federated Architecture. - Jerry Chen; Ruiqing Tian; Di Niu (MetaCom, 2024)

Learning Truncated Causal History Model for Video Restoration. - Amirhosein Ghasemabadi; Muhammad Kamran Janjua; Mohammad Salameh; Di Niu (NeurIPS, 2024)

HyperFLoRA: Federated Learning with Instantaneous Personalization. - Qikai Lu; Di Niu; Mohammadamin Samadi Khoshkho; Baochun Li (SDM, 2024)

DimReg: Embedding Dimension Search via Regularization for Recommender Systems. - Mingjun Zhao; Liyao Jiang; Yakun Yu; Xinmin Wang; Yi Yuan; Zheng Wei; Di Niu (SDM, 2024)

SIFiD: Reassess Summary Factual Inconsistency Detection with LLM. - Jiuding Yang; Hui Liu; Weidong Guo; Zhuwei Rao; Yu Xu; Di Niu (CoRR, 2024)

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network. - Chenglin Li; Yuanzhen Xie; Chenyun Yu; Lei Cheng 005; Bo Hu; Zang Li; Di Niu (CoRR, 2024)

Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs. - Jiuding Yang; Weidong Guo; Kaitong Yang; Xiangyang Li; Zhuwei Rao; Yu Xu; Di Niu (CoRR, 2024)

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 (CoRR, 2024)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lu 023; Di Niu (CoRR, 2024)

MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices. - Mohammadali Shakerdargah; Shan Lu; Chao Gao; Di Niu (CoRR, 2024)

Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. - Keith G. Mills; Mohammad Salameh; Ruichen Chen; Negar Hassanpour; Wei Lu 023; Di Niu (CoRR, 2024)

CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. - Amirhosein Ghasemabadi; Muhammad Kamran Janjua; Mohammad Salameh; Chunhua Zhou; Fengyu Sun; Di Niu (Trans. Mach. Learn. Res., 2024)

Cross-domain correlation representation for new fault categories discovery in rolling bearings. - Chenglong Wang; Jie Nie; Weizhi Nie; Peizhe Yin; Di Niu; Xinyue Liang; Shusong Yu (Inf. Process. Manag., 2024)

Unknown fault detection method for rolling bearings based on image and signal series feature fusion enhancement. - Di Niu; Shusong Yu; Jiali Xu; Chenglong Wang; Ruoxi Li; Xiangqian Ding (Multim. Tools Appl., 2024)

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 (AAAI, 2025)

Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. - Keith G. Mills; Mohammad Salameh; Ruichen Chen; Negar Hassanpour; Wei Lu 023; Di Niu (AAAI, 2025)

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 (AAAI, 2025)

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 (COLING, 2025)

Machine Learning-Enabled Fast Prediction of GGNMOS Performance and Inverse Design for Electrostatic Discharge Applications. - Zihan Wang; Ruichen Chen; Shengyao Lu; Ian Then; Di Niu; Xihua Wang (IEEE Access, 2025)

DGT: Unbiased sequential recommendation via Disentangled Graph Transformer. - Chenglin Li; Tao Xie; Chenyun Yu; Bo Hu; Zang Li; Lei Cheng 005; Beibei Kong; Di Niu (Knowl. Based Syst., 2025)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lui; Di Niu (Trans. Mach. Learn. Res., 2025)

Applying Graph Explanation to Operator Fusion. - Keith G. Mills; Muhammad Fetrat Qharabagh; Weichen Qiu; Fred X. Han; Mohammad Salameh; Wei Lu 023; Shangling Jui; Di Niu (CoRR, 2025)

TreeX: Generating Global Graphical GNN Explanations via Critical Subtree Extraction. - Shengyao Lu; Jiuding Yang; Baochun Li; Di Niu (CoRR, 2025)

FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers. - Ruichen Chen; Keith G. Mills; Di Niu (CoRR, 2025)

Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence. - Amirhosein Ghasemabadi; Keith G. Mills; Baochun Li; Di Niu (CoRR, 2025)

Grounding Degradations in Natural Language for All-In-One Video Restoration. - Muhammad Kamran Janjua; Amirhosein Ghasemabadi; Kunlin Zhang; Mohammad Salameh; Chao Gao; Di Niu (CoRR, 2025)