Yinghui Xu

Orcid: 0009-0002-7346-2794

According to our database1, Yinghui Xu authored at least 85 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
A lightweight multi-granularity asymmetric motion mode video frame prediction algorithm.
Vis. Comput., December, 2024

A bioactivity foundation model using pairwise meta-learning.
Nat. Mac. Intell., 2024

LMGT: Optimizing Exploration-Exploitation Balance in Reinforcement Learning through Language Model Guided Trade-offs.
CoRR, 2024

CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks.
CoRR, 2024

Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory.
CoRR, 2024

Interpreting and Mitigating Hallucination in MLLMs through Multi-agent Debate.
CoRR, 2024

Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though.
CoRR, 2024

Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models.
CoRR, 2024

Struct-X: Enhancing Large Language Models Reasoning with Structured Data.
CoRR, 2024

MINDECHO: Role-Playing Language Agents for Key Opinion Leaders.
CoRR, 2024

AI2Apps: A Visual IDE for Building LLM-based AI Agent Applications.
CoRR, 2024

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance.
CoRR, 2024

Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Hybrid Directional Graph Neural Network for Molecules.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance.
Proceedings of the Computer Vision - ECCV 2024, 2024

Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
InfMLLM: A Unified Framework for Visual-Language Tasks.
CoRR, 2023

FuXi: A cascade machine learning forecasting system for 15-day global weather forecast.
CoRR, 2023

Provably Invariant Learning without Domain Information.
Proceedings of the International Conference on Machine Learning, 2023

Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction.
ACM Trans. Intell. Syst. Technol., 2022

2021
ANN Softmax: Acceleration of Extreme Classification Training.
Proc. VLDB Endow., 2021

Structure First Detail Next: Image Inpainting with Pyramid Generator.
CoRR, 2021

I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform.
Proceedings of the WSDM '21, 2021

VideoDiscovery: An Automatic Short-Video Generation System for E-commerce Live-streaming.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Once and for All: Self-supervised Multi-modal Co-training on One-billion Videos at Alibaba.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Virtual Character Generation and Animation System for E-Commerce Live Streaming.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Text-driven 3D Avatar Animation with Emotional and Expressive Behaviors.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

AsyNCE: Disentangling False-Positives for Weakly-Supervised Video Grounding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Extremely Compact Non-local Representation Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Accelerating Gossip SGD with Periodic Global Averaging.
Proceedings of the 38th International Conference on Machine Learning, 2021

Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SCAT: Stride Consistency with Auto-regressive regressor and Transformer for hand pose estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Practical Relative Order Attack in Deep Ranking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Visual-Audio Composition Alignment Network for Quality Fashion Retrieval in Video.
Proceedings of the IEEE International Conference on Acoustics, 2021

Few-Shot Incremental Learning With Continually Evolved Classifiers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multiple Object Tracking With Correlation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Communication Efficient SGD via Gradient Sampling With Bayes Prior.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Video Representation Learning by Context and Motion Decoupling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Position and Target Consistency for Memory-Based Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Distribution Adaptive INT8 Quantization for Training CNNs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning a Contextual and Topological Representation of Areas-of-Interest for On-Demand Delivery Application.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Large-Scale Training System for 100-Million Classification at Alibaba.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Balanced Order Batching with Task-Oriented Graph Clustering.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Electric Theft Behavior Detection Method Based on Power Customer Data Analysis.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Characteristics of Electricity Consumption of Typical Industrial Loads Based on Power Data Analysis.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Weakly Supervised Learning with Side Information for Noisy Labeled Images.
Proceedings of the Computer Vision - ECCV 2020, 2020

Battery Management for Automated Warehouses via Deep Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Large Scale Long-tailed Product Recognition System at Alibaba.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Learning to Cooperate: Application of Deep Reinforcement Learning for Online AGV Path Finding.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Optimal Solution Predictions for Mixed Integer Programs.
CoRR, 2019

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning? - A Case Study in Dynamic Courier Dispatching System.
CoRR, 2019

Connecting Customers and Merchants Offline: Experimental Evidence from the Commercialization of Last-Mile Pickup Stations at Alibaba.
Proceedings of the 40th International Conference on Information Systems, 2019

Large-Scale Visual Search with Binary Distributed Graph at Alibaba.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Virtual ID Discovery from E-commerce Media at Alibaba: Exploiting Richness of User Click Behavior for Visual Search Relevance.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Multi-agent Path Planning with Non-constant Velocity Motion.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

A Multi-task Selected Learning Approach for Solving 3D Flexible Bin Packing Problem.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Can Sophisticated Dispatching Strategy Acquired by Reinforcement Learning?
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
GP-CNAS: Convolutional Neural Network Architecture Search with Genetic Programming.
CoRR, 2018

A Novel Bin Design Problem and High Performance Algorithm for E-commerce Logistics System.
CoRR, 2018

A Multi-task Selected Learning Approach for Solving New Type 3D Bin Packing Problem.
CoRR, 2018

Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Report on the SIGIR 2017 Workshop on eCommerce (ECOM17).
SIGIR Forum, 2017

Solving a New 3D Bin Packing Problem with Deep Reinforcement Learning Method.
CoRR, 2017

Evaluating Web Search with a Bejeweled Player Model.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

SIGIR 2017 Workshop on eCommerce (ECOM17).
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2008
Automatic image tagging as a random walk with priors on the canonical correlation subspace.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2006
Improvements of Katz K Mixture Model.
Inf. Media Technol., 2006

2004
A unified model of literal mining and link analysis for ranking web resources.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Using Virtual Document for NTCIR-4 Web Information Retrieval Task.
Proceedings of the Fourth NTCIR Workshop on Research in Information Access Technologies Information Retrieval, 2004

Literal-Matching-Biased Link Analysis.
Proceedings of the Information Retrieval Technology, Asia Information Retrieval Symposium, 2004

2003
Very low-dimensional latent semantic indexing for local query regions.
Proceedings of the Sixth International Workshop on Information Retrieval with Asian Languages, 2003


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