Li, Haizhou

30 publications

AAAI 2025 Aligning Language Models Using Follow-up Likelihood as Reward Signal Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

IJCAI 2025 Binary Event-Driven Spiking Transformer Honglin Cao, Zijian Zhou, Wenjie Wei, Yu Liang, Ammar Belatreche, Dehao Zhang, Malu Zhang, Yang Yang, Haizhou Li

NeurIPS 2025 Bipolar Self-Attention for Spiking Transformers Shuai Wang, Malu Zhang, Jingya Wang, Dehao Zhang, Yimeng Shan, Jieyuan Zhang, Yichen Xiao, Honglin Cao, Haonan Zhang, Zeyu Ma, Yang Yang, Haizhou Li

NeurIPS 2025 Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling Dehao Zhang, Malu Zhang, Shuai Wang, Jingya Wang, Wenjie Wei, Zeyu Ma, Guoqing Wang, Yang Yang, Haizhou Li

NeurIPS 2025 Listening to the Brain: Multi-Band sEEG Auditory Reconstruction via Dynamic Spatio-Temporal Hypergraphs Xueyi Zhang, Ruicong Wang, Jialu Sun, Siqi Cai, Haizhou Li

AAAI 2025 Multi-Modal and Multi-Scale Spatial Environment Understanding for Immersive Visual Text-to-Speech Rui Liu, Shuwei He, Yifan Hu, Haizhou Li

ICLR 2025 Quantized Spike-Driven Transformer Xuerui Qiu, Malu Zhang, Jieyuan Zhang, Wenjie Wei, Honglin Cao, Junsheng Guo, Rui-Jie Zhu, Yimeng Shan, Yang Yang, Haizhou Li

NeurIPS 2025 S$^2$NN: Sub-Bit Spiking Neural Networks Wenjie Wei, Malu Zhang, Jieyuan Zhang, Ammar Belatreche, Shuai Wang, Yimeng Shan, Hanwen Liu, Honglin Cao, Guoqing Wang, Yang Yang, Haizhou Li

NeurIPS 2025 SongBloom: Coherent Song Generation via Interleaved Autoregressive Sketching and Diffusion Refinement Chenyu Yang, Shuai Wang, Hangting Chen, Wei Tan, Jianwei Yu, Haizhou Li

AAAI 2025 SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor Chenyu Yang, Shuai Wang, Hangting Chen, Jianwei Yu, Wei Tan, Rongzhi Gu, Yaoxun Xu, Yizhi Zhou, Haina Zhu, Haizhou Li

NeurIPS 2025 Unveiling the Spatial-Temporal Effective Receptive Fields of Spiking Neural Networks Jieyuan Zhang, Xiaolong Zhou, Shuai Wang, Wenjie Wei, Hanwen Liu, Qian Sun, Malu Zhang, Yang Yang, Haizhou Li

AAAI 2024 A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li

NeurIPS 2024 Alignment at Pre-Training! Towards Native Alignment for Arabic LLMs Juhao Liang, Zhenyang Cai, Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Abdulmohsen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, Jinchao Xu

IJCAI 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition Yang Wang, Haiyang Mei, Qirui Bao, Ziqi Wei, Mike Zheng Shou, Haizhou Li, Bo Dong, Xin Yang

AAAI 2024 Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling Rui Liu, Yifan Hu, Yi Ren, Xiang Yin, Haizhou Li

NeurIPS 2024 Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading Xueyi Zhang, Chengwei Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li

IJCAI 2024 LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network Through Spatial-Temporal Compressive Network Search and Joint Optimization Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li

AAAI 2024 Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition Jiadong Wang, Zexu Pan, Malu Zhang, Robby T. Tan, Haizhou Li

NeurIPS 2024 SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, Zhizheng Wu

AAAI 2024 TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

NeurIPS 2024 VLMimic: Vision Language Models Are Visual Imitation Learner for Fine-Grained Actions Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu, Tianxing Zhou, Zicai Peng, Mengxiao Hu, Haizhou Li, Li Yuan, Yi Yang, Yufeng Yue

NeurIPS 2023 Disentangling Voice and Content with Self-Supervision for Speaker Recognition Tianchi Liu, Kong Aik Lee, Qiongqiong Wang, Haizhou Li

CVPR 2023 Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation Jiawei Du, Yidi Jiang, Vincent Y. F. Tan, Joey Tianyi Zhou, Haizhou Li

CVPR 2023 Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert Jiadong Wang, Xinyuan Qian, Malu Zhang, Robby T. Tan, Haizhou Li

CVPR 2022 Ego4D: Around the World in 3,000 Hours of Egocentric Video Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolář, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

AAAI 2022 MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li

NeurIPS 2022 Training Spiking Neural Networks with Local Tandem Learning Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li

ICML 2021 Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks Huiping Zhuang, Zhenyu Weng, Fulin Luo, Toh Kar-Ann, Haizhou Li, Zhiping Lin

AAAI 2019 MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons Malu Zhang, Jibin Wu, Yansong Chua, Xiaoling Luo, Zihan Pan, Dan Liu, Haizhou Li

AAAI 2015 An Entorhinal-Hippocampal Model for Simultaneous Cognitive mAP Building Miaolong Yuan, Bo Tian, Vui Ann Shim, Huajin Tang, Haizhou Li