Haoli Bai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
26
Venues
14
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
26 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MTR-DuplexBench: Towards a Comprehensive Evaluation of Multi-Round Conversations for Full-Duplex Speech Language Models. | Zhang He, Wenqian Cui, Haoning Xu, Xiao-Hui Li, Lei Zhu, Haoli Bai, Shaohua Ma, Irwin King |
| 2026 | ACL | Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats. | Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu |
| 2025 | CVPR | 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, 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 |
| 2025 | EMNLP | Efficient Inference for Large Language Models -Algorithm, Model, and System. | Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu |
| 2025 | EMNLP | Faster 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 |
| 2025 | ICASSP | WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. | Jian Yuan, Ziwei He, Haoli Bai, Jingwen Leng, Bo Jiang |
| 2025 | ICML | FlatQuant: 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 |
| 2025 | IJCAI | TreeKV: Smooth Key-Value Cache Compression with Tree Structures. | Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang |
| 2024 | ACL | 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, Jun Yao, Chun Yuan |
| 2024 | CVPR | MoPE-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 |
| 2024 | ICLR | Plug-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 |
| 2024 | NAACL | Visually Guided Generative Text-Layout Pre-training for Document Intelligence. | Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2023 | ACL | 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, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu |
| 2023 | ACL | Structured Pruning for Efficient Generative Pre-trained Language Models. | Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong |
| 2022 | ICASSP | Dynamically Pruning Segformer for Efficient Semantic Segmentation. | Haoli Bai, Hongda Mao, Dinesh Nair |
| 2021 | ACL | BinaryBERT: 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 |
| 2021 | ICONIP | DAP-BERT: Differentiable Architecture Pruning of BERT. | Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu |
| 2021 | IJCNN | Discrete Auto-regressive Variational Attention Models for Text Modeling. | Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King |
| 2020 | AAAI | Few Shot Network Compression via Cross Distillation. | Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu |
| 2020 | AAAI | RTN: Reparameterized Ternary Network. | Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang |
| 2020 | AAAI | M-NAS: Meta Neural Architecture Search. | Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng |
| 2020 | KDD | TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. | Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang |
| 2018 | CIKM | Neural Relational Topic Models for Scientific Article Analysis. | Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu |
| 2018 | IJCAI | Structured Inference for Recurrent Hidden Semi-markov Model. | Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu |
| 2017 | IJCNN | Learning from semantically dependent multi-tasks. | Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe |
| 2016 | ACML | Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. | Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li |