| 2026 | AAAI | SABER: Switchable and Balanced Training for Efficient LLM Reasoning. | Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li |
| 2026 | ACL | Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents. | Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong |
| 2026 | ACL | PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs. | Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He |
| 2025 | EMNLP | RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. | Tianjiao Li, Mengran Yu, Chenyu Shi, Yanjun Zhao, Xiaojing Liu, Qi Zhang, Xuanjing Huang, Qiang Zhang, Jiayin Wang |
| 2025 | ICASSP | Less Is More: Embracing Sparsity and Interpolation with Esiformer for Time Series Forecasting. | Yangyang Guo, Yanjun Zhao, Sizhe Dang, Tian Zhou, Liang Sun, Yi Qian |
| 2025 | ICASSP | Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series. | Yanjun Zhao, Tian Zhou, Chao Chen, Liang Sun, Yi Qian, Rong Jin |
| 2025 | ICLR | Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. | Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang |
| 2025 | KDD | Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach. | Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Rong Jin, Liang Sun |
| 2023 | CIKM | GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. | Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian |
| 2023 | TrustCom | Designing and Implementing Communication-efficient Model of Distributed System for Real-time Electromagnetic Transient Simulation. | Qi Guo, Binjiang Hu, Zeqi Hong, Yanjun Zhao, Shuyong Li, Liang Tu |
| 2020 | BIBE | Unsupervised Learning of Deep-Learned Features from Breast Cancer Images. | Sanghoon Lee, Colton Farley, Simon Shim, Wook-Sung Yoo, Yanjun Zhao, Wookjin Choi |
| 2010 | ICNC | Fluorescence spectrum recognition of pesticides based on wavelet neural network. | Ruikun Gong, Yinjie Fu, Guangxiang Zhang, Yansong Tian, Yanjun Zhao, Lei Chen |
| 2007 | CVPR | Scene Segmentation and Categorization Using NCuts. | Yanjun Zhao, Tao Wang, Peng Wang, Wei Hu, Yangzhou Du, Yimin Zhang, Guangyou Xu |