2025
Applying Graph Explanation to Operator Fusion.
CoRR, January, 2025
DGT: Unbiased sequential recommendation via Disentangled Graph Transformer.
Knowl. Based Syst., 2025
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Unknown fault detection method for rolling bearings based on image and signal series feature fusion enhancement.
Multim. Tools Appl., December, 2024
Cross-domain correlation representation for new fault categories discovery in rolling bearings.
Inf. Process. Manag., March, 2024
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration.
Trans. Mach. Learn. Res., 2024
Qua<sup>2</sup>SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models.
CoRR, 2024
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation.
CoRR, 2024
MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices.
CoRR, 2024
FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting.
CoRR, 2024
Achieving Complex Image Edits via Function Aggregation with Diffusion Models.
CoRR, 2024
Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs.
CoRR, 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network.
CoRR, 2024
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM.
CoRR, 2024
DimReg: Embedding Dimension Search via Regularization for Recommender Systems.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
HyperFLoRA: Federated Learning with Instantaneous Personalization.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Learning Truncated Causal History Model for Video Restoration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Tuner: A New Approach For 3D Semantic Segmentation Using Federated Architecture.
Proceedings of the IEEE International Conference on Metaverse Computing, 2024
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
GOAt: Explaining Graph Neural Networks via Graph Output Attribution.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
PepRec: Progressive Enhancement of Prompting for Recommendation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Building Optimal Neural Architectures Using Interpretable Knowledge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently.
CoRR, 2023
Reparameterization through Spatial Gradient Scaling.
CoRR, 2023
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering.
Proceedings of the ACM Web Conference 2023, 2023
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
BDA: Bandit-based Transferable AutoAugment.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
A General-Purpose Transferable Predictor for Neural Architecture Search.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Optimal Smooth Approximation for Quantile Matrix Factorization.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Online Volume Optimization for Notifications via Long Short-Term Value Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
TCR: Short Video Title Generation and Cover Selection with Attention Refinement.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Reparameterization through Spatial Gradient Scaling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features.
Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023
VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization.
Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
GENNAPE: Towards Generalized Neural Architecture Performance Estimators.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Factorizing Historical User Actions for Next-Day Purchase Prediction.
ACM Trans. Web, 2022
Self-Attentive Models for Real-Time Malware Classification.
IEEE Access, 2022
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
MatRank: Text Re-ranking by Latent Preference Matrix.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
LA3: Efficient Label-Aware AutoAugment.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Similarity Embedding Networks for Robust Human Activity Recognition.
ACM Trans. Knowl. Discov. Data, 2021
Advanced algorithms for penalized quantile and composite quantile regression.
Comput. Stat., 2021
QBSUM: A large-scale query-based document summarization dataset from real-world applications.
Comput. Speech Lang., 2021
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.
CoRR, 2021
Verdi: Quality Estimation and Error Detection for Bilingual.
CoRR, 2021
Exploring Neural Architecture Search Space via Deep Deterministic Sampling.
IEEE Access, 2021
Verdi: Quality Estimation and Error Detection for Bilingual Corpora.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Generative Adversarial Neural Architecture Search.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2020
Story Forest: Extracting Events and Telling Stories from Breaking News.
ACM Trans. Knowl. Discov. Data, 2020
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
GIANT: Scalable Creation of a Web-scale Ontology.
Proceedings of the 2020 International Conference on Management of Data, 2020
Meta-Learning for Query Conceptualization at Web Scale.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Neural Architecture Search for Keyword Spotting.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Wide-Area Spark Streaming: Automated Routing and Batch Sizing.
IEEE Trans. Parallel Distributed Syst., 2019
Learning Privately over Distributed Features: An ADMM Sharing Approach.
CoRR, 2019
Learning to Generate Questions by Learning What not to Generate.
CoRR, 2019
Android Malware Detection Based on Factorization Machine.
IEEE Access, 2019
Learning to Generate Questions by LearningWhat not to Generate.
Proceedings of the World Wide Web Conference, 2019
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network.
Proceedings of the World Wide Web Conference, 2019
A User-Centered Concept Mining System for Query and Document Understanding at Tencent.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
FDML: A Collaborative Machine Learning Framework for Distributed Features.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
A Deep Generative Approach to Search Extrapolation and Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Distributed Machine Learning with a Serverless Architecture.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019
Matching Article Pairs with Graphical Decomposition and Convolutions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Learning Diffusions without Timestamps.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Stochastic Distributed Optimization for Machine Learning from Decentralized Features.
CoRR, 2018
A Model Parallel Proximal Stochastic Gradient Algorithm for Partially Asynchronous Systems.
CoRR, 2018
A Block-wise, Asynchronous and Distributed ADMM Algorithm for General Form Consensus Optimization.
CoRR, 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization.
CoRR, 2018
Matching Long Text Documents via Graph Convolutional Networks.
CoRR, 2018
Matching Natural Language Sentences with Hierarchical Sentence Factorization.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018
MIX: Multi-Channel Information Crossing for Text Matching.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Dynamic and Decentralized Global Analytics via Machine Learning.
Proceedings of the ACM Symposium on Cloud Computing, 2018
Multiresolution Graph Attention Networks for Relevance Matching.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2017
Cooper: Expedite Batch Data Dissemination in Computer Clusters with Coded Gossips.
IEEE Trans. Parallel Distributed Syst., 2017
Network Latency Estimation for Personal Devices: A Matrix Completion Approach.
IEEE/ACM Trans. Netw., 2017
Cocoa: Dynamic Container-Based Group Buying Strategies for Cloud Computing.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017
Resource Auto-Scaling and Sparse Content Replication for Video Storage Systems.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2017
Optic Disc Detection via Deep Learning in Fundus Images.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
Optimal multicast in virtualized datacenter networks with software switches.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Robust web service recommendation via quantile matrix factorization.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017
Recover Fine-Grained Spatial Data from Coarse Aggregation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Latency reduction and load balancing in coded storage systems.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017
Growing Story Forest Online from Massive Breaking News.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Expectile Matrix Factorization for Skewed Data Analysis.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Achieving Optimal Block Pipelining in Organized Network Coded Gossip.
IEEE Trans. Parallel Distributed Syst., 2016
An Asynchronous Fixed-Point Algorithm for Resource Sharing With Coupled Objectives.
IEEE/ACM Trans. Netw., 2016
Delay-Optimized Video Traffic Routing in Software-Defined Interdatacenter Networks.
IEEE Trans. Multim., 2016
A Geometric Approach to Server Selection for Interactive Video Streaming.
IEEE Trans. Multim., 2016
Mitigating Routing Inefficiencies to Cloud-Storage Providers: A Case Study.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Reducing access latency in erasure coded cloud storage with local block migration.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016
House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Separating-Plane Factorization Models: Scalable Recommendation from One-Class Implicit Feedback.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Dynamic Cloud Instance Acquisition via IaaS Cloud Brokerage.
IEEE Trans. Parallel Distributed Syst., 2015
Heat Transfer and Friction Characteristics of the Microfluidic Heat Sink with Variously-Shaped Ribs for Chip Cooling.
Sensors, 2015
Network latency prediction for personal devices: Distance-feature decomposition from 3D sampling.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
2014
Server Selection and Topology Control for Multi-Party Video Conferences.
Proceedings of the 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2014
Min-cost live webcast under joint pricing of data, congestion and virtualized servers.
Proceedings of the 7th International Conference on NETwork Games, COntrol and OPtimization, 2014
Congestion-aware internet pricing for media streaming.
Proceedings of the 2014 Proceedings IEEE INFOCOM Workshops, Toronto, ON, Canada, April 27, 2014
Achieving Absolutely Optimal Block Pipelining in Organized Network Coded Gossip.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014
2013
Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications.
IEEE Wirel. Commun., 2013
An efficient distributed algorithm for resource allocation in large-scale coupled systems.
Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013
Dynamic Cloud Resource Reservation via Cloud Brokerage.
Proceedings of the IEEE 33rd International Conference on Distributed Computing Systems, 2013
2012
Pricing cloud bandwidth reservations under demand uncertainty.
Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012
Quality-assured cloud bandwidth auto-scaling for video-on-demand applications.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
A theory of cloud bandwidth pricing for video-on-demand providers.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012
2011
Analyzing the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks.
IEEE Trans. Parallel Distributed Syst., 2011
Random Network Coding in Peer-to-Peer Networks: From Theory to Practice.
Proc. IEEE, 2011
Understanding demand volatility in large VoD systems.
Proceedings of the Network and Operating System Support for Digital Audio and Video, 2011
Risk management for video-on-demand servers leveraging demand forecast.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
Demand forecast and performance prediction in peer-assisted on-demand streaming systems.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
Asymptotic optimality of randomized peer-to-peer broadcast with network coding.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011
2010
Self-diagnostic peer-assisted video streaming through a learning framework.
Proceedings of the 18th International Conference on Multimedia 2010, 2010
Topological Properties Affect the Power of Network Coding in Decentralized Broadcast.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010
2009
How P2P streaming systems scale over time under a flash crowd?
Proceedings of the 8th international conference on Peer-to-peer systems, 2009
Asymptotic rate limits for randomized broadcasting with network coding.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009
2008
Circumventing Server Bottlenecks: Indirect Large-Scale P2P Data Collection.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008
2007
On the Resilience-Complexity Tradeoff of Network Coding in Dynamic P2P Networks.
Proceedings of the Fifteenth IEEE International Workshop on Quality of Service, 2007
2006
Iterative Carrier Frequency Offset Estimation for OFDMA Uplink based on Null Subcarriers.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006