| 2026 | ACL | Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models. | Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2026 | WACV | 4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. | Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen |
| 2025 | ACL | MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. | Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2025 | EMNLP | RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs. | Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin |
| 2025 | EMNLP | AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. | Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen |
| 2025 | IJCNN | KSINet: Keypoint-Enhanced Single-Head Inference for Sitting Posture Recognition. | Yongheng Tai, Shoudong Shi, Shanshan Zhong, Ting Lan, Tianxiang Zhao, Kedi Qiu |
| 2025 | MMM | Flat Local Minima for Continual Learning on Semantic Segmentation. | Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong |
| 2025 | SMC | DPHNet: A Dynamic Parallel Hybrid Network for Sitting Posture Recognition. | Shanshan Zhong, Shoudong Shi, Yongheng Tai, Ting Lan, Tianxiang Zhao, Kedi Qiu |
| 2025 | WWW | DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. | Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang |
| 2024 | ACL | MoExtend: Tuning New Experts for Modality and Task Extension. | Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou |
| 2024 | CVPR | Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. | Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou |
| 2024 | ECCV | Stripe Observation Guided Inference Cost-Free Attention Mechanism. | Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin |
| 2024 | ICANN | DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. | Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang |
| 2024 | ICML | AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. | Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin |
| 2024 | WWW | Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. | Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin |
| 2023 | ICCV | Understanding Self-attention Mechanism via Dynamical System Perspective. | Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin |