Tangjie Lv

Orcid: 0000-0001-9858-809X

According to our database1, Tangjie Lv authored at least 50 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Learning a compact embedding for fine-grained few-shot static gesture recognition.
Multim. Tools Appl., October, 2024

VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games.
IEEE Trans. Games, September, 2024

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG.
ACM Trans. Knowl. Discov. Data, May, 2024

Facial Action Unit Detection and Intensity Estimation From Self-Supervised Representation.
IEEE Trans. Affect. Comput., 2024

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR, 2024

Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller.
CoRR, 2024

Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation.
CoRR, 2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Temporal Uplift Modeling for Online Marketing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bayesian Design Principles for Offline-to-Online Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Deep learning applications in games: a survey from a data perspective.
Appl. Intell., December, 2023

Towards Long-term Annotators: A Supervised Label Aggregation Baseline.
CoRR, 2023

Examining the Effect of Pre-training on Time Series Classification.
CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR, 2023

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning.
CoRR, 2023

FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping.
CoRR, 2023

Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge.
CoRR, 2023

TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles.
CoRR, 2023

Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition.
CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.
CoRR, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective.
CoRR, 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Individual Reward Assisted Multi-Agent Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Prior Aided Streaming Network for Multi-task Affective Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

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

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

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

2018
Hierarchical Deep Multiagent Reinforcement Learning.
CoRR, 2018


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