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Mingfu Liang
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2020 – today
- 2026
- [c21]Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu:
ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation. ACL (Findings) 2026: 7960-7980 - [i28]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:
Generative Reasoning Re-ranker. CoRR abs/2602.07774 (2026) - [i27]Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen:
A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR abs/2602.19938 (2026) - [i26]Shaoang Li, Yanhang Shi, Yufei Li, Mingfu Liang, Xiaohan Wei, Yunchen Pu, Fei Tian, Chonglin Sun, Frank Shyu, Luke Simon, Sandeep Pandey, Xi Liu, Jian Li:
Learning Evidence Highlighting for Frozen LLMs. CoRR abs/2604.22565 (2026) - [i25]Yuhang Chen, Xianfeng Wu, Jinhao Duan, Mingfu Liang, Xiaohan Wei, Yunchen Pu, Fei Tian, Chonglin Sun, Parish Aggarwal, Frank Shyu, Luke Simon, Sandeep Pandey, Xi Liu, Tianlong Chen:
Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation. CoRR abs/2606.27732 (2026) - [i24]Yuhang Chen, Jinhao Duan, Ruichen Zhang, Mingfu Liang, Xiaohan Wei, Yunchen Pu, Fei Tian, Chonglin Sun, Parish Aggarwal, Frank Shyu, Luke Simon, Sandeep Pandey, Tianlong Chen, Xi Liu:
End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference. CoRR abs/2606.27743 (2026) - [i23]Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Frank Shyu, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu:
ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation. CoRR abs/2606.28357 (2026) - [i22]Yufei Li, Zaiwei Zhang, Mingfu Liang, Kavosh Asadi, Jay Xu, Jimmy Kim, Chongyang Bai, Jieyi Zhang, Hong Xie, Prachi Agrawal, Dian Yu, Tianyi Chen, Jean-Pascal Billaud, Garret Buell, YK Zhu, Sachin Patil, Brooke Bian, Zhou Fang, Kevin Huang, Shiva Sudanagunta, Yuzhen Huang, Emma Lu, Chris O'Brien, Yang Song, Lihong Li, Jacob Tao, Zhicheng Zhu, Chao Li, Gaoxiang Liu, Neil Wu, Zhongyin Hu, Li Han, Loki Chen, Ming Lei, Greg Rehm, Siyuan Song, Tianwei Zhang, Li Li, Ketan Singh, Yavuz Yetim, Ilyas Atishev, Satendra Gera, Ashkan Sadeghi, Rachel Yan, Nikko Mizutani, Shuaiwen Wang, Song Yang, Zhijing Li, Jiang Liu, Mengying Sun, Fei Tian, Xiaohan Wei, Chonglin Sun, Parish Aggarwal, Kaushik Rangadurai, Zhi Hua, Frank Shyu, Ruchit Sharma, Liyuan Li, Shike Mei, Wenlin Chen, Santanu Kolay, Benjamin Schulte, Deepak Chandra, Adam Song, Sandeep Pandey, Xi Liu, Hamed Firooz, Luke Simon:
GR2 Technical Report. CoRR abs/2606.31984 (2026) - [i21]Zhuoxuan Zhang, Kangqi Ni, Yuhang Chen, Mingfu Liang, Xiaohan Wei, Yunchen Pu, Fei Tian, Chonglin Sun, Frank Shyu, Adam Song, Sandeep Pandey, Luke Simon, Tianlong Chen, Xi Liu:
Diffusion-GR2: Diffusion Generative Reasoning Re-ranker. CoRR abs/2607.01170 (2026) - [i20]Zhe Xu, Prachi Agrawal, Kavosh Asadi, Tianyi Chen, Carl Hu, Justin Johnson, Wuwei Lan, Mingfu Liang, Xi Liu, Tik On Lui, Oladipo Ositelu, Sandeep Pandey, Ankit Peshin, Feng Qi, Anil Ramakrishna, Kaushik Rangadurai, Frank Shyu, Luke Simon, Yang Yang, Chiyu Zhang:
The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers. CoRR abs/2607.25346 (2026) - 2025
- [j1]Zhongzhan Huang
, Senwei Liang, Mingfu Liang:
A generic shared attention mechanism for various backbone neural networks. Neurocomputing 611: 128697 (2025) - [c20]Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. ACL (1) 2025: 26443-26458 - [c19]Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu:
Incremental Object Keypoint Learning. CVPR 2025: 25399-25410 - [c18]Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CVPR 2025: 29869-29879 - [c17]Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen:
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. EMNLP 2025: 5203-5219 - [c16]Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker:
Autoscape: Geometry-Consistent Long-Horizon Scene Generation. ICCV 2025: 25700-25711 - [c15]Zhongzhan Huang
Flat Local Minima for Continual Learning on Semantic Segmentation. MMM (1) 2025: 388-400 - [c14]Mingfu Liang
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. WWW (Companion Volume) 2025: 344-353 - [c13]Wenkuan Zhao
DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. WWW 2025: 2549-2561 - [i19]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:
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. CoRR abs/2501.02173 (2025) - [i18]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:
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. CoRR abs/2502.17494 (2025) - [i17]Mingfu Liang, Jiahuan Zhou, Xu Zou, Ying Wu:
Incremental Object Keypoint Learning. CoRR abs/2503.20248 (2025) - [i16]Yaoyao Qian, Jindan Huang, Yuanli Wang, Simon Yu, Kyrie Zhixuan Zhou, Jiayuan Mao, Mingfu Liang, Hanhan Zhou:
WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue. CoRR abs/2506.01881 (2025) - [i15]Yifan Liu, Wenkuan Zhao, Shanshan Zhong
AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. CoRR abs/2509.14171 (2025) - [i14]Jiacheng Chen, Ziyu Jiang, Mingfu Liang, Bingbing Zhuang, Jong-Chyi Su, Sparsh Garg, Ying Wu, Manmohan Chandraker:
AutoScape: Geometry-Consistent Long-Horizon Scene Generation. CoRR abs/2510.20726 (2025) - 2024
- [c12]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CVPR 2024: 14695-14706 - [c11]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CVPR 2024: 16351-16361 - [c10]Zhongzhan Huang
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. ICME 2024: 1-6 - [c9]Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin:
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML 2024: 19929-19948 - [i13]Mingfu Liang, Jong-Chyi Su, Samuel Schulter, Sparsh Garg, Shiyu Zhao, Ying Wu, Manmohan Chandraker:
AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving. CoRR abs/2403.17373 (2024) - [i12]Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu:
Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction. CoRR abs/2412.00556 (2024) - 2023
- [c8]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang
Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops 2023: 853-862 - [c7]Zhongzhan Huang
Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV 2023: 1412-1422 - [c6]Xiaoying Xing, Mingfu Liang, Ying Wu:
TOA: Task-oriented Active VQA. NeurIPS 2023 - [i11]Zhongzhan Huang, Mingfu Liang, Liang Lin:
On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR abs/2302.10184 (2023) - [i10]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR abs/2304.12536 (2023) - [i9]Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong
Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR abs/2308.09939 (2023) - [i8]Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu:
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. CoRR abs/2311.13793 (2023) - 2022
- [c5]Mingfu Liang
Balancing Between Forgetting and Acquisition in Incremental Subpopulation Learning. ECCV (26) 2022: 364-380 - [i7]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i6]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin:
Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR abs/2210.16101 (2022) - 2021
- [c4]Wei He
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) 2021: 3-15 - [c3]Wei He
CAP: Context-Aware Pruning for Semantic Segmentation. WACV 2021: 959-968 - [i5]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. CoRR abs/2107.05033 (2021) - [i4]Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He:
AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR abs/2107.05804 (2021) - 2020
- [c2]Zhongzhan Huang, Senwei Liang
DIANet: Dense-and-Implicit Attention Network. AAAI 2020: 4206-4214 - [c1]Senwei Liang
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI 2020: 4819-4827 - [i3]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang:
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR abs/2011.14058 (2020)
2010 – 2019
- 2019
- [i2]Zhongzhan Huang, Senwei Liang, Mingfu Liang
DIANet: Dense-and-Implicit Attention Network. CoRR abs/1905.10671 (2019) - [i1]Senwei Liang, Zhongzhan Huang, Mingfu Liang
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR abs/1908.04008 (2019)
Coauthor Index
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