Changjie Fan

According to our database1, Changjie Fan authored at least 53 papers between 2007 and 2021.

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Bibliography

2021
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.
CoRR, 2021

Efficient policy detecting and reusing for non-stationarity in Markov games.
Auton. Agents Multi Agent Syst., 2021

2020
NGUARD+: An Attention-based Game Bot Detection Framework via Player Behavior Sequences.
ACM Trans. Knowl. Discov. Data, 2020

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning.
CoRR, 2020

Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation.
CoRR, 2020

GraphFederator: Federated Visual Analysis for Multi-party Graphs.
CoRR, 2020

Learn to Effectively Explore in Context-Based Meta-RL.
CoRR, 2020

Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization.
CoRR, 2020

Multi-label Relation Modeling in Facial Action Units Detection.
CoRR, 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Neutral Face Game Character Auto-Creation via PokerFace-GAN.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

OptMatch: Optimized Matchmaking via Modeling the High-Order Interactions on the Arena.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Regression Testing of Massively Multiplayer Online Role-Playing Games.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
Proceedings of the 8th International Conference on Learning Representations, 2020

One-Shot Voice Conversion Using Star-Gan.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Youling: an AI-assisted Lyrics Creation System.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Keep You from Leaving: Churn Prediction in Online Games.
Proceedings of the Database Systems for Advanced Applications, 2020

FReeNet: Multi-Identity Face Reenactment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Bundle Recommendation in Online Games.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-source Data Multi-task Learning for Profiling Players in Online Games.
Proceedings of the IEEE Conference on Games, 2020

XAI-Driven Explainable Multi-view Game Cheating Detection.
Proceedings of the IEEE Conference on Games, 2020

Exploring Unknown States with Action Balance.
Proceedings of the IEEE Conference on Games, 2020

Reinforcement Learning with Action-Specific Focuses in Video Games.
Proceedings of the IEEE Conference on Games, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
NeuroSkinning: automatic skin binding for production characters with deep graph networks.
ACM Trans. Graph., 2019

From Few to More: Large-scale Dynamic Multiagent Curriculum Learning.
CoRR, 2019

Learning Action-Transferable Policy with Action Embedding.
CoRR, 2019

FaceSwapNet: Landmark Guided Many-to-Many Face Reenactment.
CoRR, 2019

Abstractive Meeting Summarization via Hierarchical Adaptive Segmental Network Learning.
Proceedings of the World Wide Web Conference, 2019

MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Text-driven Visual Prosody Generation for Embodied Conversational Agents.
Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, 2019

Reinforcement Learning Experience Reuse with Policy Residual Representation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explicitly Coordinated Policy Iteration.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Face-to-Parameter Translation for Game Character Auto-Creation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Hierarchical Deep Multiagent Reinforcement Learning.
CoRR, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

NGUARD: A Game Bot Detection Framework for NetEase MMORPGs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2007
Bounded Incremental Real-Time Dynamic Programming.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007


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