Efficient Learning of Timeseries Shapelets. - Lu Hou 002; James T. Kwok; Jacek M. Zurada (AAAI, 2016)

Loss-aware Binarization of Deep Networks. - Lu Hou 002; Quanming Yao; James T. Kwok (ICLR (Poster), 2017)

Loss-aware Weight Quantization of Deep Networks. - Lu Hou 002; James T. Kwok (ICLR (Poster), 2018)

Power Law in Sparsified Deep Neural Networks. - Lu Hou 002; James T. Kwok (CoRR, 2018)

Analysis of Quantized Models. - Lu Hou 002; Ruiliang Zhang; James T. Kwok (ICLR (Poster), 2019)

Normalization Helps Training of Quantized LSTM. - Lu Hou 002; Jinhua Zhu 001; James T. Kwok; Fei Gao 018; Tao Qin 001; Tie-Yan Liu (NeurIPS, 2019)

TernaryBERT: Distillation-aware Ultra-low Bit BERT. - Wei Zhang 196; Lu Hou 002; Yichun Yin; Lifeng Shang; Xiao Chen 012; Xin Jiang 002; Qun Liu 001 (EMNLP (1), 2020)

DynaBERT: Dynamic BERT with Adaptive Width and Depth. - Lu Hou 002; Zhiqi Huang 001; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Qun Liu 001 (NeurIPS, 2020)

DynaBERT: Dynamic BERT with Adaptive Width and Depth. - Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (CoRR, 2020)

BinaryBERT: Pushing the Limit of BERT Quantization. - Haoli Bai; Wei Zhang 196; Lu Hou 002; Lifeng Shang; Jing Jin; Xin Jiang 002; Qun Liu 001; Michael R. Lyu; Irwin King (CoRR, 2020)

BinaryBERT: Pushing the Limit of BERT Quantization. - Haoli Bai; Wei Zhang 196; Lu Hou 002; Lifeng Shang; Jin Jin; Xin Jiang 002; Qun Liu 001; Michael R. Lyu; Irwin King (ACL/IJCNLP (1), 2021)

GhostBERT: Generate More Features with Cheap Operations for BERT. - Zhiqi Huang 001; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Qun Liu 001 (ACL/IJCNLP (1), 2021)

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss. - Mingyang Yi; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhi-Ming Ma (ICLR, 2021)

Improved OOD Generalization via Adversarial Training and Pretraing. - Mingyang Yi; Lu Hou 002; Jiacheng Sun; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhiming Ma (ICML, 2021)

Improved OOD Generalization via Adversarial Training and Pre-training. - Mingyang Yi; Lu Hou 002; Jiacheng Sun; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Zhi-Ming Ma (CoRR, 2021)

Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation. - Wenliang Dai; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Pascale Fung (ACL (Findings), 2022)

Compression of Generative Pre-trained Language Models via Quantization. - Chaofan Tao; Lu Hou 002; Wei Zhang 196; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Ping Luo 002; Ngai Wong 001 (ACL (1), 2022)

LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling. - Dongsheng Chen; Chaofan Tao; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

FILIP: Fine-grained Interactive Language-Image Pre-Training. - Lewei Yao; Runhui Huang; Lu Hou 002; Guansong Lu; Minzhe Niu; Hang Xu 004; Xiaodan Liang; Zhenguo Li; Xin Jiang 002; Chunjing Xu (ICLR, 2022)

Towards Efficient Post-training Quantization of Pre-trained Language Models. - Haoli Bai; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Irwin King; Michael R. Lyu (NeurIPS, 2022)

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. - Jiaxi Gu; Xiaojun Meng; Guansong Lu; Lu Hou 002; Niu Minzhe; Xiaodan Liang; Lewei Yao; Runhui Huang; Wei Zhang 196; Xin Jiang 002; Chunjing Xu; Hang Xu 004 (NeurIPS, 2022)

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework. - Jiaxi Gu; Xiaojun Meng; Guansong Lu; Lu Hou 002; Minzhe Niu; Hang Xu 004; Xiaodan Liang; Wei Zhang 196; Xin Jiang 002; Chunjing Xu (CoRR, 2022)

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. - Haoli Bai; Zhiguang Liu; Xiaojun Meng; Wentao Li; Shuang Liu; Nian Xie; Rongfu Zheng; Liangwei Wang 004; Lu Hou 002; Jiansheng Wei; Xin Jiang 002; Qun Liu 001 (CoRR, 2022)

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. - Shiwei Li 002; Huifeng Guo; Lu Hou 002; Wei Zhang 197; Xing Tang 007; Ruiming Tang; Rui Zhang 003; Ruixuan Li 001 (AAAI, 2023)

Wukong-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 004; Lu Hou 002; Jiansheng Wei; Xin Jiang 002; et al. (ACL (1), 2023)

mCLIP: Multilingual CLIP via Cross-lingual Transfer. - Guanhua Chen 001; Lu Hou 002; Yun Chen 007; Wenliang Dai; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Jia Pan 001; Wenping Wang 001 (ACL (1), 2023)

Structured Pruning for Efficient Generative Pre-trained Language Models. - Chaofan Tao; Lu Hou 002; Haoli Bai; Jiansheng Wei; Xin Jiang 002; Qun Liu 001; Ping Luo 002; Ngai Wong 001 (ACL (Findings), 2023)

TESTA: Temporal-Spatial Token Aggregation for Long-form Video-Language Understanding. - Shuhuai Ren; Sishuo Chen; Shicheng Li; Xu Sun 001; Lu Hou 002 (EMNLP (Findings), 2023)

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation. - Yuanxin Liu; Lei Li 039; Shuhuai Ren; Rundong Gao; Shicheng Li; Sishuo Chen; Xu Sun 001; Lu Hou 002 (NeurIPS, 2023)

CTRL: Connect Tabular and Language Model for CTR Prediction. - Xiangyang Li; Bo Chen 023; Lu Hou 002; Ruiming Tang (CoRR, 2023)

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. - Ruikang Liu; Haoli Bai; Haokun Lin; Yuening Li; Han Gao; Zhengzhuo Xu; Lu Hou 002; Jun Yao; Chun Yuan (ACL (Findings), 2024)

TempCompass: Do Video LLMs Really Understand Videos? - Yuanxin Liu; Shicheng Li; Yi Liu; Yuxiang Wang; Shuhuai Ren; Lei Li 039; Sishuo Chen; Xu Sun 001; Lu Hou 002 (ACL (Findings), 2024)

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. - Haokun Lin; Haoli Bai; Zhili Liu; Lu Hou 002; Muyi Sun; Linqi Song; Ying Wei 001; Zhenan Sun (CVPR, 2024)

TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding. - Shuhuai Ren; Linli Yao; Shicheng Li; Xu Sun 001; Lu Hou 002 (CVPR, 2024)

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models. - Shicheng Li; Lei Li 039; Yi Liu; Shuhuai Ren; Yuanxin Liu; Rundong Gao; Xu Sun 001; Lu Hou 002 (ECCV (70), 2024)

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. - Yingtao Zhang; Haoli Bai; Haokun Lin; Jialin Zhao 004; Lu Hou 002; Carlo Vittorio Cannistraci (ICLR, 2024)

Visually Guided Generative Text-Layout Pre-training for Document Intelligence. - Zhiming Mao; Haoli Bai; Lu Hou 002; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (NAACL-HLT, 2024)

UNIT: Unifying Image and Text Recognition in One Vision Encoder. - Yi Zhu 004; Yanpeng Zhou; Chunwei Wang; Yang Cao; Jianhua Han; Lu Hou 002; Hang Xu 004 (NeurIPS, 2024)

Visually Guided Generative Text-Layout Pre-training for Document Intelligence. - Zhiming Mao; Haoli Bai; Lu Hou 002; Jiansheng Wei; Xin Jiang 002; Qun Liu 001; Kam-Fai Wong (CoRR, 2024)

Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality. - Sishuo Chen; Lei Li 039; Shuhuai Ren; Rundong Gao; Yuanxin Liu; Xiaohan Bi; Xu Sun 001; Lu Hou 002 (CoRR, 2024)

DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models. - Linli Yao; Lei Li 039; Shuhuai Ren; Lean Wang; Yuanxin Liu; Xu Sun 001; Lu Hou 002 (CoRR, 2024)

EMOVA: 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; et al. (CoRR, 2024)

FlatQuant: Flatness Matters for LLM Quantization. - Yuxuan Sun; Ruikang Liu; Haoli Bai; Han Bao; Kang Zhao; Yuening Li; Jiaxin Hu; Xianzhi Yu; Lu Hou 002; Chun Yuan; Xin Jiang 002; Wulong Liu; et al. (CoRR, 2024)

ILLUME: Illuminating Your LLMs to See, Draw, and Self-Enhance. - Chunwei Wang; Guansong Lu; Junwei Yang; Runhui Huang; Jianhua Han; Lu Hou 002; Wei Zhang 196; Hang Xu 004 (CoRR, 2024)

Embedding Compression in Recommender Systems: A Survey. - Shiwei Li 002; Huifeng Guo; Xing Tang 007; Ruiming Tang; Lu Hou 002; Ruixuan Li 001; Rui Zhang 003 (ACM Comput. Surv., 2024)

Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment. - Fan Feng; Lu Hou 002; Qi She; Rosa H. M. Chan; James T. Kwok (IEEE Trans. Neural Networks Learn. Syst., 2024)

EMOVA: 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; et al. (CVPR, 2025)

HiRes-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 004; Lu Hou 002; Wei Zhang 010; Xiaodan Liang (CVPR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Runhui Huang; Chunwei Wang; Junwei Yang; Guansong Lu; Yunlong Yuan; Jianhua Han; Lu Hou 002; Wei Zhang 196; Lanqing Hong; Hengshuang Zhao; Hang Xu 004 (CoRR, 2025)

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models. - Ruikang Liu; Yuxuan Sun; Manyi Zhang; Haoli Bai; Xianzhi Yu; Tiezheng Yu; Chun Yuan; Lu Hou 002 (CoRR, 2025)

A Simple Linear Patch Revives Layer-Pruned Large Language Models. - Xinrui Chen 001; Haoli Bai; Tao Yuan; Ruikang Liu; Kang Zhao; Xianzhi Yu; Lu Hou 002; Tian Guan; Yonghong He; Chun Yuan (CoRR, 2025)

The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. - Jierun Chen; Tiezheng Yu; Haoli Bai; Lewei Yao; Jiannan Wu; Kaican Li; Fei Mi; Chaofan Tao; Lei Zhu; Manyi Zhang; Xiaohui Li; Lu Hou 002; et al. (CoRR, 2025)

Think Before You Talk: Enhancing Meaningful Dialogue Generation in Full-Duplex Speech Language Models with Planning-Inspired Text Guidance. - Wenqian Cui; Lei Zhu; Xiaohui Li; Zhihan Guo; Haoli Bai; Lu Hou 002; Irwin King (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)