Mingfu Liang - RankMe

41 papers A* 11A 2Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	J	`jnl`	Generative Reasoning Re-ranker. CoRR Mingfu Liang, Yufei Li, Jay Xu, Kavosh Asadi, Xi Liu, Shuo Gu, Kaushik Rangadurai, Frank Shyu, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Jacob Tao, Shike Mei, Wenlin Chen, Santanu Kolay, Sandeep Pandey, Hamed Firooz, Luke Simon
2025	J	`jnl`	A generic shared attention mechanism for various backbone neural networks. Neurocomputing Zhongzhan Huang, Senwei Liang, Mingfu Liang
2025	A*	`conf`	Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CVPR Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu
2025	A*	`conf`	AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. EMNLP Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
2025	J	`jnl`	AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. CoRR Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
2025	J	`jnl`	AutoScape: Geometry-Consistent Long-Horizon Scene Generation. CoRR Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker
2025	A*	`conf`	DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. WWW Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang
2025	—	`conf`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. WWW (Companion Volume) Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	J	`jnl`	External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR Mingfu Liang, Xi Liu, Rong Jin, Boyang Liu, Qiuling Suo, Qinghai Zhou, Song Zhou, Laming Chen, Hua Zheng, Zhiyuan Li, Shali Jiang, Jiyan Yang, Xiaozhen Xia, Fan Yang, Yasmine Badr, Ellie Wen, Shuyu Xu, Hansey Chen, Zhengyu Zhang, Jade Nie, Chunzhi Yang, Zhichen Zeng, Weilin Zhang, Xingliang Huang, Qianru Li, Shiquan Wang, Evelyn Lyu, Wenjing Lu, Rui Zhang, Wenjun Wang, Jason Rudy, Mengyue Hang, Kai Wang, Yinbin Ma, Shuaiwen Wang, Sihan Zeng, Tongyi Tang, Xiaohan Wei, Longhao Jin, Jamey Zhang, Marcus Chen, Jiayi Zhang, Angie Huang, Chi Zhang, Zhengli Zhao, Jared Yang, Qiang Jin, Xian Chen, Amit Anand Amlesahwaram, Lexi Song, Liang Luo, Yuchen Hao, Nan Xiao, Yavuz Yetim, Luoshang Pan, Gaoxiang Liu, Yuxi Hu, Yuzhen Huang, Jackie Xu, Rich Zhu, Xin Zhang, Yiqun Liu, Hang Yin, Yuxin Chen, Buyun Zhang, Xiaoyi Liu, Xingyuan Wang, Wenguang Mao, Zhijing Li, Qin Huang, Chonglin Sun, Shupin Mao, Benjamin Au, Jingzheng Qin, Peggy Yao, Jae-Woo Choi, Bin Gao, Ernest Wang, Lei Zhang, Wen-Yen Chen, Ted Lee, Jay Zha, Yi Meng, Alex Gong, Edison Gao, Alireza Vahdatpour, Yiping Han, Yantao Yao, Toshinari Kureha, Shuo Chang, Musharaf Sultan, John Bocharov, Sagar Chordia, Xiaorui Gan, Peng Sun, Rocky Liu, Bo Long, Wenlin Chen, Santanu Kolay, Huayu Li
2025	—	`conf`	Flat Local Minima for Continual Learning on Semantic Segmentation. MMM (1) Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong
2025	A*	`conf`	Incremental Object Keypoint Learning. CVPR Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu
2025	J	`jnl`	Incremental Object Keypoint Learning. CoRR Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu
2025	—	`conf`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. ACL (1) Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen
2025	J	`jnl`	The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR Huixue Zhou, Hengrui Gu, Xi Liu, Kaixiong Zhou, Mingfu Liang, Yongkang Xiao, Srinivas Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen
2025	J	`jnl`	WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue. CoRR Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou
2024	A*	`conf`	AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
2024	J	`jnl`	AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker
2024	J	`jnl`	Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CoRR Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu
2024	A*	`conf`	AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin
2024	A*	`conf`	Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CVPR Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu
2024	A	`conf`	Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network ICME Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
2023	J	`jnl`	Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CoRR Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu
2023	—	`conf`	Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
2023	J	`jnl`	Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min
2023	J	`jnl`	On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR Zhongzhan Huang, Mingfu Liang, Liang Lin
2023	A*	`conf`	TOA: Task-oriented Active VQA. NeurIPS Xiaoying Xing, Mingfu Liang, Ying Wu
2023	A*	`conf`	Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
2023	J	`jnl`	Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
2022	—	`conf`	Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. ECCV (26) Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu
2022	J	`jnl`	Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin
2022	J	`jnl`	The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
2021	J	`jnl`	AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He
2021	—	`conf`	Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Blending Pruning Criteria for Convolutional Neural Networks. CoRR Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	A	`conf`	CAP: Context-Aware Pruning for Semantic Segmentation. WACV Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam
2020	A*	`conf`	DIANet: Dense-and-Implicit Attention Network. AAAI Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2020	J	`jnl`	Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
2020	A*	`conf`	Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	DIANet: Dense-and-Implicit Attention Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang