| 2026 | AAAI | Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models. | Yucheng Zhou, Jihai Zhang, Guanjie Chen, Jianbing Shen, Yu Cheng |
| 2026 | ACL | I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck. | Huilin Deng, Hongchen Luo, Yue Zhu, Long Li, Zhuoyue Chen, Xinghao Zhao, Ming Li, Chuyang Zhao, Jihai Zhang, Mengchang Wang, Yang Cao, Yu Kang |
| 2025 | COLING | Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. | Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng |
| 2025 | EMNLP | Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning. | Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin |
| 2025 | EMNLP | CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling. | Jihai Zhang, Xiaoye Qu, Tong Zhu, Yu Cheng |
| 2025 | WWW | Untitled record | Ben Liu, Jihai Zhang, Fangquan Lin, Xu Jia, Min Peng |
| 2025 | WWW | SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. | Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin |
| 2024 | ECCV | Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning. | Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi |
| 2024 | EMNLP | BC-Prover: Backward Chaining Prover for Formal Theorem Proving. | Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin |
| 2024 | EMNLP | SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information. | Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng |
| 2024 | NAACL | Solving General Natural-Language-Description Optimization Problems with Large Language Models. | Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin |
| 2023 | CIKM | A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. | Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang |
| 2022 | CIKM | An Enhanced Gated Graph Neural Network for E-commerce Recommendation. | Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui |
| 2022 | ICASSP | Neighbor-Augmented Transformer-Based Embedding for Retrieval. | Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu |
| 2022 | IJCNN | Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. | Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang |
| 2022 | SIGIR | A New Sequential Prediction Framework with Spatial-temporal Embedding. | Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang |
| 2022 | SIGIR | Deep Multi-Representational Item Network for CTR Prediction. | Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang |
| 2021 | AAAI | Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. | Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian |
| 2021 | ACML | Dynamic Popularity-Aware Contrastive Learning for Recommendation. | Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang |
| 2016 | MMM | Sign Language Recognition Based on Trajectory Modeling with HMMs. | Junfu Pu, Wengang Zhou, Jihai Zhang, Houqiang Li |
| 2016 | VCIP | Chinese sign language recognition based on trajectory and hand shape features. | Jun He, Zhandong Liu, Jihai Zhang |