| 2026 | ACL | ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning. | Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Qing Li |
| 2026 | ACL | WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement. | Fangyuan Li, Pengfei Li, Shijie Wang, Junqi Gao, Jianxing Liu, Biqing Qi, Yuqiang Li |
| 2026 | ACL | MARS²: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation. | Pengfei Li, Shijie Wang, Fangyuan Li, Yikun Fu, Kaifeng Liu, Kaiyan Zhang, Dazhi Zhang, Yuqiang Li, Biqing Qi, Bowen Zhou |
| 2026 | WSDM | Continuous-time Discrete-space Diffusion Model for Recommendation. | Chengyi Liu, Xiao Chen, Shijie Wang, Wenqi Fan, Qing Li |
| 2026 | WSDM | Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. | Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li |
| 2025 | AAAI | Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. | Hao Ma, Shijie Wang, Zhiqiang Pu, Siyao Zhao, Xiaolin Ai |
| 2025 | ACL | Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. | Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin |
| 2025 | ADC | Parameter-Efficient Wheat Disease Segmentation. | Shijie Wang, Zijian Wang, Yadan Luo, Pengfei Zhang, Xin Yu |
| 2025 | CogSci | EvoAgents: A Cognitive-Driven Framework for Personality Evolution in Generative Agent Society. | Yifan Li, Shijie Wang, Jiale Li, Yi Xu, Keke Tang, Jiangfeng Li, Hailong Liu, Cui Tang |
| 2025 | CVPR | MotiF: Making Text Count in Image Animation with Motion Focal Loss. | Shijie Wang, Samaneh Azadi, Rohit Girdhar, Saketh Rambhatla, Chen Sun, Xi Yin |
| 2025 | EMNLP | Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework. | Jie Chen, Jinhao Jiang, Yingqian Min, Zican Dong, Shijie Wang, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | ICASSP | Cluster-Refined Optimal Transport for Unsupervised Action Segmentation. | Shijie Wang, Jinrong Zhang, Yule Liu, Shiyao Li, Lin Feng |
| 2025 | ICCV | How Can Objects Help Video-Language Understanding? | Zitian Tang, Shijie Wang, Junho Cho, Jaewook Yoo, Chen Sun |
| 2025 | ICCV | Adversarial Reconstruction Feedback for Robust Fine-Grained Generalization. | Shijie Wang, Jian Shi, Haojie Li |
| 2025 | ICDE | Towards Retrieval-Augmented Large Language Models: Data Management and System Design. | Wenqi Fan, Pangjing Wu, Yujuan Ding, Liang-Bo Ning, Shijie Wang, Qing Li |
| 2025 | ICML | Trusted Multi-View Classification with Expert Knowledge Constraints. | Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li |
| 2025 | IJCAI | An Association-based Fusion Method for Speech Enhancement. | Shijie Wang, Qian Guo, Lu Chen, Liang Du, Zikun Jin, Zhian Yuan, Xinyan Liang |
| 2025 | IJCAI | Tree-of-AdEditor: Heuristic Tree Reasoning for Automated Video Advertisement Editing with Large Language Model. | Yuqi Zhang, Bin Guo, Nuo Li, Ying Zhang, Shijie Wang, Zhiwen Yu, Qing Li |
| 2025 | ICRA | Stochastic Trajectory Prediction Under Unstructured Constraints. | Hao Ma, Zhiqiang Pu, Shijie Wang, Boyin Liu, Huimu Wang, Yanyan Liang, Jianqiang Yi |
| 2025 | IJCNN | Diversity-Driven Offline-to-Online Multi-Player Policy Learning for Football Matches. | Shijie Wang, Zhiqiang Pu, Tianyi Hu, Hao Ma, Huimu Wang, Jianqiang Yi |
| 2025 | MICCAI | TF-TransUNet1D: Time-Frequency Guided Transformer U-Net for Robust ECG Denoising in Digital Twin. | Shijie Wang, Lei Li |
| 2025 | NAACL | RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement. | Jinhao Jiang, Jiayi Chen, Junyi Li, Ruiyang Ren, Shijie Wang, Xin Zhao, Yang Song, Tao Zhang |
| 2025 | WACV | Learning Visual Grounding from Generative Vision and Language Model. | Shijie Wang, Dahun Kim, Ali Taalimi, Chen Sun, Weicheng Kuo |
| 2024 | CVPR | Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving. | Junda Cheng, Wei Yin, Kaixuan Wang, Xiaozhi Chen, Shijie Wang, Xin Yang |
| 2024 | CVPR | MVHumanNet: A Large-Scale Dataset of Multi-View Daily Dressing Human Captures. | Zhangyang Xiong, Chenghong Li, Kenkun Liu, Hongjie Liao, Jianqiao Hu, Junyi Zhu, Shuliang Ning, Lingteng Qiu, Chongjie Wang, Shijie Wang, Shuguang Cui, Xiaoguang Han |
| 2024 | ECCV | Vamos: Versatile Action Models for Video Understanding. | Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun |
| 2024 | FPL | AMA: An Analytical Approach to Maximizing the Efficiency of Deep Learning on Versal AI Engine. | Xiaodong Deng, Shijie Wang, Tianyi Gao, Jing Liu, Longjun Liu, Nanning Zheng |
| 2024 | ICLR | AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? | Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun |
| 2024 | IJCNN | Extraction and Transfer of General Deep Feature in Reinforcement Learning. | Min Chen, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Shijie Wang, Boyin Liu |
| 2024 | KDD | A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. | Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li |
| 2024 | KDD | CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. | Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang |
| 2024 | WACV | Object-centric Video Representation for Long-term Action Anticipation. | Ce Zhang, Changcheng Fu, Shijie Wang, Nakul Agarwal, Kwonjoon Lee, Chiho Choi, Chen Sun |
| 2023 | AAAI | Fine-Grained Retrieval Prompt Tuning. | Shijie Wang, Jianlong Chang, Zhihui Wang, Haojie Li, Wanli Ouyang, Qi Tian |
| 2023 | CVPR | Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator. | Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang, Qi Tian |
| 2023 | ICCV | Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection. | Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang |
| 2023 | IJCNN | Heterogeneous-graph Attention Reinforcement Learning for Football Matches. | Shijie Wang, Yi Pan, Zhiqiang Pu, Jianqiang Yi, Yanyan Liang, Du Zhang |
| 2023 | IROS | Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning. | Shijie Wang, Yi Pan, Zhiqiang Pu, Boyin Liu, Jianqiang Yi |
| 2023 | KDD | Trustworthy Recommender Systems: Foundations and Frontiers. | Wenqi Fan, Xiangyu Zhao, Lin Wang, Xiao Chen, Jingtong Gao, Qidong Liu, Shijie Wang |
| 2023 | PERCOM | A Novel Multi-Agent Deep RL Approach for Traffic Signal Control. | Shijie Wang, Shangbo Wang |
| 2022 | AAAI | Category-Specific Nuance Exploration Network for Fine-Grained Object Retrieval. | Shijie Wang, Zhihui Wang, Haojie Li, Wanli Ouyang |
| 2021 | AAAI | Dynamic Position-aware Network for Fine-grained Image Recognition. | Shijie Wang, Haojie Li, Zhihui Wang, Wanli Ouyang |
| 2021 | CVPR | Pose Recognition With Cascade Transformers. | Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu |
| 2021 | QoMEX | Towards the Influence of Audio Quality on Gaming Quality of Experience. | Steven Schmidt, Saman Zadtootaghaj, Shijie Wang, Sebastian Mller |
| 2021 | TrustCom | ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access. | Gaoyang Liu, Shijie Wang, Borui Wan, Zekun Wang, Chen Wang |
| 2020 | AAAI | Graph-Propagation Based Correlation Learning for Weakly Supervised Fine-Grained Image Classification. | Zhuhui Wang, Shijie Wang, Haojie Li, Zhi Dou, Jianjun Li |
| 2020 | CVPR | Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning. | Zhihui Wang, Shijie Wang, Shuhui Yang, Haojie Li, Jianjun Li, Zezhou Li |
| 2020 | ECCV | Graph Edit Distance Reward: Learning to Edit Scene Graph. | Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu |
| 2019 | PPoPP | S-EnKF: co-designing for scalable ensemble Kalman filter. | Junmin Xiao, Shijie Wang, Weiqiang Wan, Xuehai Hong, Guangming Tan |
| 2006 | IROS | Research on the Hierarchical Supervisory Control of Underwater Glider. | Yu Zhang, Jiaping Tian, Donghai Su, Shijie Wang |
| 1992 | SAC | On the conversion of rule bases into belief networks. | Shijie Wang, Marco Valtorta |