Hierarchical Deep Multiagent Reinforcement Learning. - Hongyao Tang; Jianye Hao; Tangjie Lv; Yingfeng Chen; Zongzhang Zhang; Hangtian Jia; Chunxu Ren; Yan Zheng 002; Changjie Fan; Li Wang (CoRR, 2018)

Reinforcement Learning Experience Reuse with Policy Residual Representation. - Wen-Ji Zhou; Yang Yu 001; Yingfeng Chen; Kai Guan; Tangjie Lv; Changjie Fan; Zhi-Hua Zhou (IJCAI, 2019)

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 (AAMAS, 2020)

Reinforcement Learning with Action-Specific Focuses in Video Games. - Meng Wang 016; Yingfeng Chen; Tangjie Lv; Yan Song; Kai Guan; Changjie Fan; Yang Yu 001 (CoG, 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)

Prior Aided Streaming Network for Multi-task Affective Analysis. - Wei Zhang 219; Zunhu Guo; Keyu Chen; Lincheng Li; Zhimeng Zhang; Yu Ding 001; Runze Wu 001; Tangjie Lv; Changjie Fan (ICCVW, 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; et al. (NeurIPS (Competition and Demos), 2021)

EasySM: A Data-Driven Intelligent Decision Support System for Server Merge. - Manhu Qu; Jie Huang 024; Hao Deng; Runze Wu 001; Xudong Shen; Jianrong Tao; Tangjie Lv (AAAI, 2022)

Individual Reward Assisted Multi-Agent Reinforcement Learning. - Li Wang; Yupeng Zhang; Yujing Hu; Weixun Wang; Chongjie Zhang; Yang Gao 001; Jianye Hao; Tangjie Lv; Changjie Fan (ICML, 2022)

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering. - Minghao Zhao 002; Le Wu; Yile Liang; Lei Chen 051; Jian Zhang 023; Qilin Deng; Kai Wang 064; Xudong Shen; Tangjie Lv; Runze Wu 001 (SIGIR, 2022)

TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective. - Pengfei Xi; Guifeng Wang; Zhipeng Hu; Yu Xiong; Mingming Gong; Wei Huang; Runze Wu 001; Yu Ding 001; Tangjie Lv; Changjie Fan; Xiangnan Feng (CoRR, 2022)

StyleTalk: One-Shot Talking Head Generation with Controllable Speaking Styles. - Yifeng Ma 001; Suzhen Wang; Zhipeng Hu; Changjie Fan; Tangjie Lv; Yu Ding 001; Zhidong Deng; Xin Yu 002 (AAAI, 2023)

FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping. - Hao Zeng 001; Wei Zhang 219; Changjie Fan; Tangjie Lv; Suzhen Wang; Zhimeng Zhang; Bowen Ma; Lincheng Li; Yu Ding 001; Xin Yu 002 (AAAI, 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 001 (AAAI, 2023)

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts. - Jiashu Pu; Ling Cheng 002; Lu Fan; Tangjie Lv; Rongsheng Zhang (EMNLP, 2023)

Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation. - Haowei Wang 001; Jiji Tang; Jiayi Ji; Xiaoshuai Sun; Rongsheng Zhang; Yiwei Ma; Minda Zhao; Lincheng Li; Zeng Zhao; Tangjie Lv; Rongrong Ji (ACM Multimedia, 2023)

Conservative Offline Policy Adaptation in Multi-Agent Games. - Chengjie Wu; Pingzhong Tang; Jun Yang 028; Yujing Hu; Tangjie Lv; Changjie Fan; Chongjie Zhang (NeurIPS, 2023)

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. - Rundong Wang; Longtao Zheng; Wei Qiu 001; Bowei He; Bo An 001; Zinovi Rabinovich; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan (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; et al. (CoRR, 2023)

TalkCLIP: Talking Head Generation with Text-Guided Expressive Speaking Styles. - Yifeng Ma 001; Suzhen Wang; Yu Ding 001; Bowen Ma; Tangjie Lv; Changjie Fan; Zhipeng Hu; Zhidong Deng; Xin Yu 002 (CoRR, 2023)

Structure-CLIP: Enhance Multi-modal Language Representations with Structure Knowledge. - Yufeng Huang; Jiji Tang; Zhuo Chen 007; Rongsheng Zhang; Xinfeng Zhang; Weijie Chen; Zeng Zhao; Tangjie Lv; Zhipeng Hu; Wen Zhang 015 (CoRR, 2023)

FlowFace++: Explicit Semantic Flow-supervised End-to-End Face Swapping. - Yu Zhang; Hao Zeng 001; Bowen Ma; Wei Zhang 219; Zhimeng Zhang; Yu Ding 001; Tangjie Lv; Changjie Fan (CoRR, 2023)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (CoRR, 2023)

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. - Renyu Zhu; Haoyu Liu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2023)

Examining the Effect of Pre-training on Time Series Classification. - Jiashu Pu; Shiwei Zhao; Ling Cheng 002; Yongzhu Chang; Runze Wu 001; Tangjie Lv; Rongsheng Zhang (CoRR, 2023)

Towards Long-term Annotators: A Supervised Label Aggregation Baseline. - Haoyu Liu; Fei Wang 063; Minmin Lin; Runze Wu 001; Renyu Zhu; Shiwei Zhao; Kai Wang 064; Tangjie Lv; Changjie Fan (CoRR, 2023)

Deep learning applications in games: a survey from a data perspective. - Zhipeng Hu; Yu Ding 001; Runze Wu 001; Lincheng Li; Rongsheng Zhang; Yujing Hu; Feng Qiu; Zhimeng Zhang; Kai Wang 064; Shiwei Zhao; Yongqiang Zhang 003; Ji Jiang; et al. (Appl. Intell., 2023)

Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations. - Yufeng Huang; Jiji Tang; Zhuo Chen 007; Rongsheng Zhang; Xinfeng Zhang; Weijie Chen; Zeng Zhao; Zhou Zhao; Tangjie Lv; Zhipeng Hu; Wen Zhang 015 (AAAI, 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 001 (AAAI, 2024)

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization. - Kai Wang 064; Haoyu Liu; Zhipeng Hu; Xiaochuan Feng; Minghao Zhao 002; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (AAAI, 2024)

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (AAMAS, 2024)

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (AAMAS, 2024)

Towards a Simultaneous and Granular Identity-Expression Control in Personalized Face Generation. - Renshuai Liu; Bowen Ma; Wei Zhang 219; Zhipeng Hu; Changjie Fan; Tangjie Lv; Yu Ding 001; Xuan Cheng (CVPR, 2024)

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Tangjie Lv; Changjie Fan; Zhipeng Hu (ICLR, 2024)

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. - Yihuan Mao; Chengjie Wu; Xi Chen; Hao Hu 006; Ji Jiang; Tianze Zhou; Tangjie Lv; Changjie Fan; Zhipeng Hu; Yi Wu 013; Yujing Hu; Chongjie Zhang (ICLR, 2024)

Bayesian Design Principles for Offline-to-Online Reinforcement Learning. - Hao Hu 006; Yiqin Yang; Jianing Ye; Chengjie Wu; Ziqing Mai; Yujing Hu; Tangjie Lv; Changjie Fan; Qianchuan Zhao; Chongjie Zhang (ICML, 2024)

STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. - Chao Li; Yujing Hu; Shangdong Yang; Tangjie Lv; Changjie Fan; Wenbin Li; Chongjie Zhang; Yang Gao 001 (IJCAI, 2024)

vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. - Yiwen Zhu; Jinyi Liu 002; Wenya Wei; Qianyi Fu; Yujing Hu; Zhou Fang; Bo An 001; Jianye Hao; Tangjie Lv; Changjie Fan (IJCAI, 2024)

MGMatch: Fast Matchmaking with Nonlinear Objective and Constraints via Multimodal Deep Graph Learning. - Yu Sun; Kai Wang 064; Zhipeng Hu; Runze Wu 001; Yaoxin Wu; Wen Song; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

Temporal Uplift Modeling for Online Marketing. - Xin Zhang 091; Kai Wang 064; Zengmao Wang; Bo Du 001; Shiwei Zhao; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (KDD, 2024)

Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. - Jiashun Liu; Jianye Hao; Xiaotian Hao; Yi Ma 005; Yan Zheng 002; Yujing Hu; Tangjie Lv (NeurIPS, 2024)

Preconditioned Nonlinear Conjugate Gradient Method for Real-time Interior-point Hyperelasticity. - Xing Shen; Runyuan Cai; Mengxiao Bi; Tangjie Lv (SIGGRAPH (Conference Paper Track), 2024)

Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. - Jiashun Liu; Xiaotian Hao; Jianye Hao; Yan Zheng 002; Yujing Hu; Changjie Fan; Tangjie Lv; Zhipeng Hu (UAI, 2024)

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. - Shiwei Zhao; Xi Yuan; Runze Wu 001; Zhipeng Hu; Haoyu Liu; Kai Wang 064; Yujing Hu; Tangjie Lv; Changjie Fan; Xin T. Tong; Jiangze Han; Yan Zheng 002; et al. (WWW (Companion Volume), 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 002; Qian Shao; Yongzhu Chang; Tangjie Lv; Rongsheng Zhang (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 008 (CoRR, 2024)

A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment. - Fei Wang 063; Haoyu Liu; Haoyang Bi; Xiangzhuang Shen; Renyu Zhu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Qi Liu 003; Zhenya Huang; Enhong Chen (CoRR, 2024)

Facial Action Unit Detection and Intensity Estimation From Self-Supervised Representation. - Bowen Ma; Rudong An; Wei Zhang 219; Yu Ding 001; Zeng Zhao; Rongsheng Zhang; Tangjie Lv; Changjie Fan; Zhipeng Hu (IEEE Trans. Affect. Comput., 2024)

PU-Detector: A PU Learning-based Framework for Real Money Trading Detection in MMORPG. - Yilin Wang; Sha Zhao; Shiwei Zhao; Runze Wu 001; Yuhong Xu; Jianrong Tao; Tangjie Lv; Shijian Li; Zhipeng Hu; Gang Pan 001 (ACM Trans. Knowl. Discov. Data, 2024)

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads. - Suzhen Wang; Yifeng Ma 001; Yu Ding 001; Zhipeng Hu; Changjie Fan; Tangjie Lv; Zhidong Deng; Xin Yu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games. - Shiwei Zhao; Jiaheng Qi; Zhipeng Hu; Han Yan; Runze Wu 001; Xudong Shen; Tangjie Lv; Changjie Fan (IEEE Trans. Games, 2024)

Learning a compact embedding for fine-grained few-shot static gesture recognition. - Zhipeng Hu; Feng Qiu; Haodong Sun; Wei Zhang 219; Yu Ding 001; Tangjie Lv; Changjie Fan (Multim. Tools Appl., 2024)

StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization. - Jinlu Zhang 002; Jiji Tang; Rongsheng Zhang; Tangjie Lv; Xiaoshuai Sun (AAAI, 2025)

CharacterBench: Benchmarking Character Customization of Large Language Models. - Jinfeng Zhou; Yongkang Huang; Bosi Wen; Guanqun Bi; Yuxuan Chen; Pei Ke; Zhuang Chen 002; Xiyao Xiao; Libiao Peng; Kuntian Tang; Rongsheng Zhang; Le Zhang; et al. (AAAI, 2025)

Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards. - Zhaohui Jiang; Xuening Feng; Paul Weng; Yifei Zhu; Yan Song; Tianze Zhou; Yujing Hu; Tangjie Lv; Changjie Fan (ICLR, 2025)

Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues. - Jinfeng Zhou; Yuxuan Chen; Jianing Yin; Yongkang Huang; Yihan Shi; Xikun Zhang 008; Libiao Peng; Rongsheng Zhang; Tangjie Lv; Zhipeng Hu; Hongning Wang; Minlie Huang (CoRR, 2025)

Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback. - Shijing Zhu; Zhuang Chen 002; Guanqun Bi; Binghang Li; Yaxi Deng; Dazhen Wan; Libiao Peng; Xiyao Xiao; Rongsheng Zhang; Tangjie Lv; Zhipeng Hu; Fangfang Li; et al. (CoRR, 2025)

Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling. - Bihan Xu; Shiwei Zhao; Runze Wu 001; Zhenya Huang; Jiawei Wang; Zhipeng Hu; Kai Wang 064; Haoyu Liu; Tangjie Lv; Le Li; Changjie Fan; Xin T. Tong; et al. (CoRR, 2025)

The Effects of Data Augmentation on Confidence Estimation for LLMs. - Rui Wang 076; Renyu Zhu; Minmin Lin; Runze Wu 001; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2025)