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2020 – today
- 2024
[j6]Zhipeng Hu, Feng Qiu, Haodong Sun, Wei Zhang, Yu Ding
, Tangjie Lv, Changjie Fan:
Learning a compact embedding for fine-grained few-shot static gesture recognition. Multim. Tools Appl. 83(33): 79009-79028 (2024)- [j5]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): 4331-4347 (2024) - [j4]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. IEEE Trans. Affect. Comput. 15(3): 1669-1683 (2024) - [j3]Shiwei Zhao, Jiaheng Qi, Zhipeng Hu, Han Yan, Runze Wu, Xudong Shen, Tangjie Lv, Changjie Fan:
VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games. IEEE Trans. Games 16(3): 611-620 (2024) - [j2]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): 91:1-91:26 (2024) - [c29]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: 2417-2425 - [c28]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: 9098-9106 - [c27]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: 17453-17460 - [c26]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: 1229-1237 - [c25]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: 2621-2623 - [c24]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. CVPR 2024: 2114-2123 - [c23]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 - [c22]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 - [c21]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. ICML 2024 - [c20]Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao:
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI 2024: 120-128 - [c19]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. IJCAI 2024: 5725-5733 - [c18]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: 5741-5751 - [c17]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: 6247-6256 - [c16]Xing Shen, Runyuan Cai, Mengxiao Bi, Tangjie Lv:
Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity. SIGGRAPH (Conference Paper Track) 2024: 96 - [c15]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: 443-452 - [i28]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 abs/2401.01207 (2024) - [i27]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 abs/2402.09954 (2024) - [i26]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 abs/2403.07301 (2024) - [i25]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 abs/2403.08826 (2024) - [i24]Xing Shen, Runyuan Cai, Mengxiao Bi, Tangjie Lv:
Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity. CoRR abs/2405.08001 (2024) - [i23]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 abs/2405.08638 (2024) - [i22]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 abs/2405.20984 (2024) - [i21]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. CoRR abs/2409.09292 (2024) - 2023
- [j1]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): 31129-31164 (2023) - [c14]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: 1896-1904 - [c13]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: 3367-3375 - [c12]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: 3543-3551 - [c11]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: 9472-9496 - [c10]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: 3403-3414 - [c9]Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang:
Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS 2023 - [i20]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 abs/2301.01081 (2023) - [i19]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 abs/2302.03429 (2023) - [i18]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 abs/2303.03988 (2023) - [i17]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 abs/2303.13512 (2023) - [i16]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 abs/2304.00334 (2023) - [i15]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 abs/2305.06152 (2023) - [i14]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 abs/2306.12686 (2023) - [i13]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 abs/2306.15503 (2023) - [i12]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 abs/2307.16889 (2023) - [i11]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 abs/2308.02982 (2023) - [i10]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 abs/2309.05256 (2023) - [i9]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 abs/2310.02054 (2023) - [i8]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 abs/2311.14709 (2023) - 2022
- [c8]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: 13212-13214 - [c7]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: 23417-23432 - [c6]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: 50-59 - [i7]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 abs/2204.12326 (2022) - [i6]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 abs/2210.15878 (2022) - [i5]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 abs/2212.02797 (2022) - [i4]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 abs/2212.08890 (2022) - 2021
- [c5]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: 3532-3542 - [c4]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: 171-188 - 2020
- [c3]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: 1872-1874 - [c2]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: 9-16 - [i3]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 abs/2012.03204 (2020)
2010 – 2019
- 2019
- [c1]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: 4447-4453 - [i2]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 abs/1905.13719 (2019) - 2018
- [i1]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 abs/1809.09332 (2018)
Coauthor Index
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