DIANet: Dense-and-Implicit Attention Network. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Haizhao Yang (AAAI, 2020)

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. - Senwei Liang; Zhongzhan Huang; Mingfu Liang; Haizhao Yang (AAAI, 2020)

Efficient Attention Network: Accelerate Attention by Searching Where to Plug. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang (CoRR, 2020)

Blending Pruning Criteria for Convolutional Neural Networks. - Wei He 025; Zhongzhan Huang; Mingfu Liang; Senwei Liang; Haizhao Yang (ICANN (4), 2021)

CAP: Context-Aware Pruning for Semantic Segmentation. - Wei He 025; Meiqing Wu; Mingfu Liang; Siew-Kei Lam (WACV, 2021)

AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. - Zhongzhan Huang; Mingfu Liang; Senwei Liang; Wei He 025 (CoRR, 2021)

Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. - Mingfu Liang; Jiahuan Zhou; Wei Wei; Ying Wu 001 (ECCV (26), 2022)

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang; Liang Lin (CoRR, 2022)

Layer-wise Shared Attention Network on Dynamical System Perspective. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Weiling He; Liang Lin (CoRR, 2022)

Exploring Compositional Visual Generation with Latent Classifier Guidance. - Changhao Shi; Haomiao Ni; Kai Li 012; Shaobo Han; Mingfu Liang; Martin Renqiang Min (CVPR Workshops, 2023)

Understanding Self-attention Mechanism via Dynamical System Perspective. - Zhongzhan Huang; Mingfu Liang; Jinghui Qin; Shanshan Zhong; Liang Lin (ICCV, 2023)

TOA: Task-oriented Active VQA. - Xiaoying Xing; Mingfu Liang; Ying Wu 001 (NeurIPS, 2023)

On Robust Numerical Solver for ODE via Self-Attention Mechanism. - Zhongzhan Huang; Mingfu Liang; Liang Lin (CoRR, 2023)

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. - Lei Fan 005; Mingfu Liang; Yunxuan Li; Gang Hua 001; Ying Wu 001 (CVPR, 2024)

AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. - Mingfu Liang; Jong-Chyi Su; Samuel Schulter; Sparsh Garg; Shiyu Zhao; Ying Wu 001; Manmohan Chandraker (CVPR, 2024)

Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. - Zhongzhan Huang; Senwei Liang; Mingfu Liang; Wei He 025; Haizhao Yang; Liang Lin (ICME, 2024)

AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. - Zhongzhan Huang; Mingfu Liang; Shanshan Zhong; Liang Lin (ICML, 2024)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Zaifu Zhan; Xi Liu; Kaixiong Zhou; Yongkang Xiao; Mingfu Liang; Srinivas Prasad Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; et al. (ACL (1), 2025)

Incremental Object Keypoint Learning. - Mingfu Liang; Jiahuan Zhou; Xu Zou 002; Ying Wu 001 (CVPR, 2025)

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. - Shiyu Zhao; Zhenting Wang; Felix Juefei-Xu; Xide Xia; Miao Liu 007; Xiaofang Wang; Mingfu Liang; Ning Zhang; Dimitris N. Metaxas; Licheng Yu (CVPR, 2025)

Flat Local Minima for Continual Learning on Semantic Segmentation. - Zhongzhan Huang; Mingfu Liang; Senwei Liang; Shanshan Zhong (MMM (1), 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (WWW (Companion Volume), 2025)

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 (WWW, 2025)

A generic shared attention mechanism for various backbone neural networks. - Zhongzhan Huang; Senwei Liang; Mingfu Liang (Neurocomputing, 2025)

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. - Huixue Zhou; Hengrui Gu 002; Xi Liu; Kaixiong Zhou; Mingfu Liang; Yongkang Xiao; Srinivas Govindan; Piyush Chawla; Jiyan Yang; Xiangfei Meng; Huayu Li; Buyun Zhang; et al. (CoRR, 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)

WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue. - Yaoyao Qian; Jindan Huang; Yuanli Wang; Simon Yu; Kyrie Zhixuan Zhou; Jiayuan Mao; Mingfu Liang; Hanhan Zhou (CoRR, 2025)