Tangjie Lv

According to our database, Tangjie Lv authored at least 40 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG.

Yilin Wang, Sha Zhao, Shiwei Zhao, Runze Wu, Yuhong Xu, Jianrong Tao, Tangjie Lv, Shijian Li, Zhipeng Hu, Gang Pan

ACM Trans. Knowl. Discov. Data, May, 2024

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

Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen

CoRR, 2024

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

Chuanqi Zang, Jiji Tang, Rongsheng Zhang, Zeng Zhao, Tangjie Lv, Mingtao Pei, Wei Liang

CoRR, 2024

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

Jiashu Pu, Yajing Wan, Yuru Zhang, Jing Chen, Ling Cheng, Qian Shao, Yongzhu Chang, Tangjie Lv, Rongsheng Zhang

CoRR, 2024

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation.

Renshuai Liu, Bowen Ma, Wei Zhang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Xuan Cheng

CoRR, 2024

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies.

Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin Tong, Jiangze Han, Yan Zheng, Jianye Hao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.

Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan

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.

Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization.

Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning.

Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations.

Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep learning applications in games: a survey from a data perspective.

Zhipeng Hu, Yu Ding, Runze Wu, Lincheng Li, Rongsheng Zhang, Yujing Hu, Feng Qiu, Zhimeng Zhang, Kai Wang, Shiwei Zhao, Yongqiang Zhang, Ji Jiang, Yadong Xi, Jiashu Pu, Wei Zhang, Suzhen Wang, Ke Chen, Tianze Zhou, Jiarui Chen, Yan Song, Tangjie Lv, Changjie Fan

Appl. Intell., December, 2023

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

Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan

CoRR, 2023

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.

Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu

CoRR, 2023

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

Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang

CoRR, 2023

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

Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang

CoRR, 2023

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

Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan

CoRR, 2023

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

Yu Zhang, Hao Zeng, Bowen Ma, Wei Zhang, Zhimeng Zhang, Yu Ding, Tangjie Lv, Changjie Fan

CoRR, 2023

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

Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang

CoRR, 2023

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

Yifeng Ma, Suzhen Wang, Yu Ding, Bowen Ma, Tangjie Lv, Changjie Fan, Zhipeng Hu, Zhidong Deng, Xin Yu

CoRR, 2023

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

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan

CoRR, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.

Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang

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.

Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji

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.

Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang

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.

Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping.

Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles.

Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective.

Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng

CoRR, 2022

Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation.

Bowen Ma, Rudong An, Wei Zhang, Yu Ding, Zeng Zhao, Rongsheng Zhang, Tangjie Lv, Changjie Fan, Zhipeng Hu

CoRR, 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu

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.

Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan

Proceedings of the International Conference on Machine Learning, 2022

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge.

Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Stephanie Milani, Anssi Kanervisto, Karolis Ramanauskas, Sander Schulhoff, Brandon Houghton, Sharada P. Mohanty, Byron Galbraith, Ke Chen, Yan Song, Tianze Zhou, Bingquan Yu, He Liu, Kai Guan, Yujing Hu, Tangjie Lv, Federico Malato, Florian Leopold, Amogh Raut, Ville Hautamäki, Andrew Melnik, Shu Ishida, João F. Henriques, Robert Klassert, Walter Laurito, Lucas Cazzonelli, Cedric Kulbach, Nicholas Popovic, Marvin Schweizer, Ellen R. Novoseller, Vinicius G. Goecks, Nicholas R. Waytowich, David Watkins, Josh Miller, Rohin Shah

Proceedings of the NeurIPS 2022 Competition Track, 2021

Prior Aided Streaming Network for Multi-task Affective Analysis.

Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, Changjie Fan

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.

Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang

CoRR, 2020

Reinforcement Learning with Action-Specific Focuses in Video Games.

Meng Wang, Yingfeng Chen, Tangjie Lv, Yan Song, Kai Guan, Changjie Fan, Yang Yu

Proceedings of the IEEE Conference on Games, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.

Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Reinforcement Learning Experience Reuse with Policy Residual Representation.

Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Hierarchical Deep Multiagent Reinforcement Learning.

Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang

CoRR, 2018