| 2026 | AAAI | NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation. | Jun Bao, Junbo Wang, Yiheng Jiang, Xiangfeng Liu, Mingyang Lv, Yuanbo Xu |
| 2026 | DCC | Practical Image Compression with Energy-Guided Asymmetric Entropy Modeling. | Qian He, Yuqi Li, Yiheng Jiang, Haotian Zhang, Li Li, Dong Liu |
| 2026 | ISCAS | FNeRV: Frequency-Aware Neural Video Representations with Dynamic Spatial Guidance. | Ziwen Xiong, Yiheng Jiang, Li Li, Dong Liu |
| 2025 | AAAI | Auto Encoding Neural Process for Multi-interest Recommendation. | Yiheng Jiang, Yuanbo Xu, Yongjian Yang, Funing Yang, Pengyang Wang, Chaozhuo Li |
| 2025 | ICASSP | A Small-footprint Acoustic Echo Cancellation Solution for Mobile Full-Duplex Speech Interactions. | Yiheng Jiang, Biao Tian |
| 2025 | ICBC | Useful Proof of Work Consensus for Efficient Route Planning as Block Mining. | Yiheng Jiang, Yuwei Le, Rui Jiang, Xiaoyang Zhou, Jiaheng Wang |
| 2025 | IJCAI | Where and When: Predict Next POI and Its Explicit Timestamp in Sequential Recommendation. | Yuanbo Xu, Hongxu Shen, Yiheng Jiang, En Wang |
| 2025 | Interspeech | Pushing the Frontiers of Self-Distillation Prototypes Network with Dimension Regularization and Score Normalization. | Yafeng Chen, Chong Deng, Hui Wang, Yiheng Jiang, Han Yin, Qian Chen, Wen Wang |
| 2025 | Interspeech | Exploring Efficient Directional and Distance Cues for Regional Speech Separation. | Yiheng Jiang, Haoxu Wang, Yafeng Chen, Gang Qiao, Biao Tian |
| 2025 | Interspeech | FLASepformer: Efficient Speech Separation with Gated Focused Linear Attention Transformer. | Haoxu Wang, Yiheng Jiang, Gang Qiao, Pengteng Shi, Biao Tian |
| 2025 | KDD | Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach. | Jialei Chen, Yuanbo Xu, Yiheng Jiang |
| 2025 | VCIP | Transformer-Based Channel Autoregressive with Space-to-Channel Context Ordering for Learned Image Compression. | Yuqi Li, Haotian Zhang, Xiongzhuang Liang, Qian He, Yiheng Jiang, Li Li, Dong Liu |
| 2024 | COLT | Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space. | Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian |
| 2024 | GLOBECOM | Blockchain-Enabled Secure Data Interactions for Responsive Cyber-Physical Spaces. | Kun Huang, Yuwei Le, Yiheng Jiang, Jiaheng Wang, Xintong Ling |
| 2024 | ICPR | Skeletal Triangulation for 3D Human Pose Estimation. | Yiheng Jiang, Zhipeng Wang, Yunlong Zhao, Yang Li, Chunyan Liu |
| 2024 | PCS | DMOFC: Discrimination Metric-Optimized Feature Compression. | Changsheng Gao, Yiheng Jiang, Li Li, Dong Liu, Feng Wu |
| 2023 | ISCAS | Padding-Aware Learned Image Compression. | Haotian Zhang, Junqi Liao, Yiheng Jiang, Li Li, Dong Liu |
| 2022 | ICDE | Spatial-Temporal Interval Aware Sequential POI Recommendation. | En Wang, Yiheng Jiang, Yuanbo Xu, Liang Wang, Yongjian Yang |
| 2021 | INFOCOM | ToP: Time-dependent Zone-enhanced Points-of-interest Embedding-based Explainable Recommender system. | En Wang, Yuanbo Xu, Yongjian Yang, Fukang Yang, Chunyu Liu, Yiheng Jiang |
| 2020 | Interspeech | An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions. | Ying Liu, Yan Song, Yiheng Jiang, Ian McLoughlin, Lin Liu, Li-Rong Dai |
| 2019 | Interspeech | Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification System. | Zhifu Gao, Yan Song, Ian McLoughlin, Pengcheng Li, Yiheng Jiang, Li-Rong Dai |
| 2019 | Interspeech | An Effective Deep Embedding Learning Architecture for Speaker Verification. | Yiheng Jiang, Yan Song, Ian McLoughlin, Zhifu Gao, Li-Rong Dai |