Tangjie Lv

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 55

Top Topics

High Resolution Video

Conjugate Gradient

Reinforcement Learning

Top Venues

Publications

Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. ICLR (2024)
Chuanqi Zang, Jiji Tang, Rongsheng Zhang, Zeng Zhao, Tangjie Lv, Mingtao Pei, Wei Liang
Let Storytelling Tell Vivid Stories: An Expressive and Fluent Multimodal Storyteller. CoRR (2024)
Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. AAAI (2024)
Suzhen Wang, Yifeng Ma, Yu Ding, Zhipeng Hu, Changjie Fan, Tangjie Lv, Zhidong Deng, Xin Yu
StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads. IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Renshuai Liu, Bowen Ma, Wei Zhang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Xuan Cheng
Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation. CoRR (2024)
Xin Zhang, Kai Wang, Zengmao Wang, Bo Du, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
Temporal Uplift Modeling for Online Marketing. KDD (2024)
Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR (2024)
Jiashu Pu, Yajing Wan, Yuru Zhang, Jing Chen, Ling Cheng, Qian Shao, Yongzhu Chang, Tangjie Lv, Rongsheng Zhang
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation. CoRR (2024)
Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang
Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations. AAAI (2024)
Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
Bayesian Design Principles for Offline-to-Online Reinforcement Learning. CoRR (2024)
Xing Shen, Runyuan Cai, Mengxiao Bi, Tangjie Lv
Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity. SIGGRAPH (Conference Paper Track) (2024)
Xing Shen, Runyuan Cai, Mengxiao Bi, Tangjie Lv
Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity. CoRR (2024)
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. CoRR (2024)
Yilin Wang, Sha Zhao, Shiwei Zhao, Runze Wu, Yuhong Xu, Jianrong Tao, Tangjie Lv, Shijian Li, Zhipeng Hu, Gang Pan
PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) (2024)
Yu Sun, Kai Wang, Zhipeng Hu, Runze Wu, Yaoxin Wu, Wen Song, Xudong Shen, Tangjie Lv, Changjie Fan
MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. KDD (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR (2024)
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS (2024)
Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS (2024)
Kai Wang, Haoyu Liu, Zhipeng Hu, Xiaochuan Feng, Minghao Zhao, Shiwei Zhao, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan
EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. AAAI (2024)
Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu
StyleTalk: One-shot Talking Head Generation with Controllable Speaking Styles. CoRR (2023)
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. CoRR (2023)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. CoRR (2023)
Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation. CoRR (2023)
Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu
FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping. AAAI (2023)
Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan
Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. CoRR (2023)
Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video. CoRR (2023)
Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. CoRR (2023)
Jiashu Pu, Shiwei Zhao, Ling Cheng, Yongzhu Chang, Runze Wu, Tangjie Lv, Rongsheng Zhang
Examining the Effect of Pre-training on Time Series Classification. CoRR (2023)
Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang
Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. EMNLP (2023)
Haoyu Liu, Fei Wang, Minmin Lin, Runze Wu, Renyu Zhu, Shiwei Zhao, Kai Wang, Tangjie Lv, Changjie Fan
Towards Long-term Annotators: A Supervised Label Aggregation Baseline. CoRR (2023)
Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang
Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge. CoRR (2023)
Zhimeng Zhang, Zhipeng Hu, Wenjin Deng, Changjie Fan, Tangjie Lv, Yu Ding
DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video. AAAI (2023)
Yifeng Ma, Suzhen Wang, Zhipeng Hu, Changjie Fan, Tangjie Lv, Yu Ding, Zhidong Deng, Xin Yu
StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles. AAAI (2023)
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
Deep learning applications in games: a survey from a data perspective. Appl. Intell. 53 (24) (2023)
Yifeng Ma, Suzhen Wang, Yu Ding, Bowen Ma, Tangjie Lv, Changjie Fan, Zhipeng Hu, Zhidong Deng, Xin Yu
TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles. CoRR (2023)
Haowei Wang, Jiji Tang, Jiayi Ji, Xiaoshuai Sun, Rongsheng Zhang, Yiwei Ma, Minda Zhao, Lincheng Li, Zeng Zhao, Tangjie Lv, Rongrong Ji
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation. ACM Multimedia (2023)
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR (2023)
Yu Zhang, Hao Zeng, Bowen Ma, Wei Zhang, Zhimeng Zhang, Yu Ding, Tangjie Lv, Changjie Fan
FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping. CoRR (2023)
Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS (2023)
Hao Zeng, Wei Zhang, Changjie Fan, Tangjie Lv, Suzhen Wang, Zhimeng Zhang, Bowen Ma, Lincheng Li, Yu Ding, Xin Yu
FlowFace: Semantic Flow-guided Shape-aware Face Swapping. CoRR (2022)
Manhu Qu, Jie Huang, Hao Deng, Runze Wu, Xudong Shen, Jianrong Tao, Tangjie Lv
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. AAAI (2022)
Pengfei Xi, Guifeng Wang, Zhipeng Hu, Yu Xiong, Mingming Gong, Wei Huang, Runze Wu, Yu Ding, Tangjie Lv, Changjie Fan, Xiangnan Feng
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. CoRR (2022)
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. SIGIR (2022)
Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML (2022)
Bowen Ma, Rudong An, Wei Zhang, Yu Ding, Zeng Zhao, Rongsheng Zhang, Tangjie Lv, Changjie Fan, Zhipeng Hu
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation. CoRR (2022)
Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. CoRR (2022)
Wei Zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding, Runze Wu, Tangjie Lv, Changjie Fan
Prior Aided Streaming Network for Multi-task Affective Analysis. ICCVW (2021)
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
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition. NeurIPS (Competition and Demos) (2021)
Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR (2020)
Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS (2020)
Meng Wang, Yingfeng Chen, Tangjie Lv, Yan Song, Kai Guan, Changjie Fan, Yang Yu
Reinforcement Learning with Action-Specific Focuses in Video Games. CoG (2020)
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI (2019)
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR (2019)
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
Hierarchical Deep Multiagent Reinforcement Learning. CoRR (2018)