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Lu Hou

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

45

Venues

16

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

45 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEfficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression.Jiameng Huang, Baijiong Lin, Guhao Feng, Jierun Chen, Di He, Lu Hou
2026WCNCReal-Time Pollution Detection for IIoT: A Hybrid Reinforcement Learning Offloading Framework for Multi-Tier Satellite Networks.Miaomiao Chen, Lu Hou, Yufan Luo
2025AAAIOAC: Output-adaptive Calibration for Accurate Post-training Quantization.Ali Edalati, Alireza Ghaffari, Mahsa Ghazvini Nejad, Lu Hou, Boxing Chen, Masoud Asgharian, Vahid Partovi Nia
2025CVPREMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions.Kai Chen, Yunhao Gou, Runhui Huang, Zhili Liu, Daxin Tan, Jing Xu, Chunwei Wang, Yi Zhu, Yihan Zeng, Kuo Yang, Dingdong Wang, Kun Xiang, Haoyuan Li, Haoli Bai, Jianhua Han, Xiaohui Li, Weike Jin, Nian Xie, Yu Zhang, James T. Kwok, Hengshuang Zhao, Xiaodan Liang, Dit-Yan Yeung, Xiao Chen, Zhenguo Li, Wei Zhang, Qun Liu, Lanqing Hong, Lu Hou, Hang Xu
2025CVPRHiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models.Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang
2025EMNLPEfficient Inference for Large Language Models -Algorithm, Model, and System.Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu
2025EMNLPFaster and Better LLMs via Latency-Aware Test-Time Scaling.Zili Wang, Tianyu Zhang, Haoli Bai, Lu Hou, Xianzhi Yu, Wulong Liu, Shiming Xiang, Lei Zhu
2025ICCVILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance.Chunwei Wang, Guansong Lu, Junwei Yang, Runhui Huang, Jianhua Han, Lu Hou, Wei Zhang, Hang Xu
2025ICMLFlatQuant: Flatness Matters for LLM Quantization.Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao
2025PIMRCMutual Deep Q Networks (Mut-DQN): Reinforce Mutually with Multi-agents to Enhance Generalization.Ying Han, Lu Hou, Lingyi Han, Xiong Xiong
2024ACLExtending Context Window of Large Language Models via Semantic Compression.Weizhi Fei, Xueyan Niu, Pingyi Zhou, Lu Hou, Bo Bai, Lei Deng, Wei Han
2024ACLIntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
2024ACLTempCompass: Do Video LLMs Really Understand Videos?Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou
2024CVPRMoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric.Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
2024CVPRTimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.Shuhuai Ren, Linli Yao, Shicheng Li, Xu Sun, Lu Hou
2024ECCVVITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.Shicheng Li, Lei Li, Yi Liu, Shuhuai Ren, Yuanxin Liu, Rundong Gao, Xu Sun, Lu Hou
2024ICLRPlug-and-Play: An Efficient Post-training Pruning Method for Large Language Models.Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
2024ISITAmplitude Transformation of Quantum State Based on QSVT.Lu Hou, Chang Lv
2024NAACLVisually Guided Generative Text-Layout Pre-training for Document Intelligence.Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2023AAAIAdaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023ACLWukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu
2023ACLmCLIP: Multilingual CLIP via Cross-lingual Transfer.Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang
2023ACLStructured Pruning for Efficient Generative Pre-trained Language Models.Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2023EMNLPTESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding.Shuhuai Ren, Sishuo Chen, Shicheng Li, Xu Sun, Lu Hou
2022ACLEnabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation.Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung
2022ACLCompression of Generative Pre-trained Language Models via Quantization.Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2022EMNLPLiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu
2022HCITowards Scenario-Based and Question-Driven Explanations in Autonomous Vehicles.Yiwen Zhang, Weiwei Guo, Cheng Chi, Lu Hou, Xiaohua Sun
2022ICLRFILIP: Fine-grained Interactive Language-Image Pre-Training.Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu
2022ICTAIKPE-GCN: A Keyphrase-Enhanced Graph Convolutional Network for Imbalanced Text Classification.HuaXuan Zhao, Hui Zhao, Lu Hou
2022PIMRCAn Ensemble Learning-based Short-Term Load Forecasting on Small Datasets.Han Meng, Lingyi Han, Lu Hou
2022REExtracting Requirements Models from Natural-Language Document for Embedded Systems.Chunhui Wang, Lu Hou, Xiaohong Chen
2021ACLBinaryBERT: Pushing the Limit of BERT Quantization.Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
2021ACLGhostBERT: Generate More Features with Cheap Operations for BERT.Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu
2021ICLRReweighting Augmented Samples by Minimizing the Maximal Expected Loss.Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
2021ICMLImproved OOD Generalization via Adversarial Training and Pretraing.Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
2020EMNLPTernaryBERT: Distillation-aware Ultra-low Bit BERT.Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu
2020WCNCDesign and Implementation on a LoRa System with Edge Computing.Zhiming Liu, Qihao Zhou, Lu Hou, Rongtao Xu, Kan Zheng
2019ICLRAnalysis of Quantized Models.Lu Hou, Ruiliang Zhang, James T. Kwok
2019WCNCA Novel Rate and Channel Control Scheme Based on Data Extraction Rate for LoRa Networks.Qihao Zhou, Jinyu Xing, Lu Hou, Rongtao Xu, Kan Zheng
2018ICLRLoss-aware Weight Quantization of Deep Networks.Lu Hou, James T. Kwok
2017GLOBECOMDesign on Publish/Subscribe Message Dissemination for Vehicular Networks with Mobile Edge Computing.Lu Hou, Lei Lei, Kan Zheng
2017GLOBECOMDesign and Implementation of Smart Irrigation System Based on LoRa.Wenju Zhao, Shengwei Lin, Jiwen Han, Rongtao Xu, Lu Hou
2017ICLRLoss-aware Binarization of Deep Networks.Lu Hou, Quanming Yao, James T. Kwok
2016AAAIEfficient Learning of Timeseries Shapelets.Lu Hou, James T. Kwok, Jacek M. Zurada