Haoli Bai - RankMe

77 papers A* 12A 1B 2C 1Misc 2Journal 51Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BATQuant: Outlier-resilient MXFP4 Quantization via Learnable Block-wise Optimization. CoRR Ji-Fu Li, Manyi Zhang, Xiaobo Xia, Han Bao, Haoli Bai, Zhenhua Dong, Xianzhi Yu
2026	J	`jnl`	Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats. CoRR Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu
2026	J	`jnl`	Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes. CoRR Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun
2026	J	`jnl`	FastCode: Fast and Cost-Efficient Code Understanding and Reasoning. CoRR Zhonghang Li, Zongwei Li, Yuxuan Chen, Han Shi, Jiawei Li, Jierun Chen, Haoli Bai, Chao Huang
2026	J	`jnl`	From Verifiable Dot to Reward Chain: Harnessing Verifiable Reference-based Rewards for Reinforcement Learning of Open-ended Generation. CoRR Yuxin Jiang, Yufei Wang, Qiyuan Zhang, Xingshan Zeng, Liangyou Li, Jierun Chen, Chaofan Tao, Haoli Bai, Lifeng Shang
2026	J	`jnl`	Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations. CoRR Yuxuan Yao, Haonan Sheng, Qingsong Lv, Han Wu, Shuqi Liu, Zehua Liu, Zengyan Liu, Jiahui Gao, Haochen Tan, Xiaojin Fu, Haoli Bai, Hing Cheung So, Zhijiang Guo, Linqi Song
2026	J	`jnl`	OVD: On-policy Verbal Distillation. CoRR Jing Xiong, Hui Shen, Shansan Gong, Yuxin Cheng, Jianghan Shen, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Ngai Wong
2026	J	`jnl`	SWE-Lego: Pushing the Limits of Supervised Fine-tuning for Software Issue Resolving. CoRR Chaofan Tao, Jierun Chen, Yuxin Jiang, Kaiqi Kou, Shaowei Wang, Ruoyu Wang, Xiaohui Li, Sidi Yang, Yiming Du, Jianbo Dai, Zhiming Mao, Xinyu Wang, Lifeng Shang, Haoli Bai
2026	J	`jnl`	Stabilizing Reinforcement Learning for Diffusion Language Models. CoRR Jianyuan Zhong, Kaibo Wang, Ding Ding, Zijin Feng, Haoli Bai, Yang Xiang, Jiacheng Sun, Qiang Xu
2026	J	`jnl`	The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. Trans. Mach. Learn. Res. Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu
2026	J	`jnl`	What Makes Low-Bit Quantization-Aware Training Work for Reasoning LLMs? A Systematic Study. CoRR Keyu Lv, Manyi Zhang, Xiaobo Xia, Jingchen Ni, Shannan Yan, Xianzhi Yu, Lu Hou, Chun Yuan, Haoli Bai
2025	J	`jnl`	A Simple Linear Patch Revives Layer-Pruned Large Language Models. CoRR Xinrui Chen, Haoli Bai, Tao Yuan, Ruikang Liu, Kang Zhao, Xianzhi Yu, Lu Hou, Tian Guan, Yonghong He, Chun Yuan
2025	J	`jnl`	ATTS: Asynchronous Test-Time Scaling via Conformal Prediction. CoRR Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong
2025	J	`jnl`	Dr.Mi-Bench: A Modular-integrated Benchmark for Scientific Deep Research Agent. CoRR Zhihan Guo, Feiyang Xu, Yifan Li, Muzhi Li, Shuai Zou, Jiele Wu, Han Shi, Haoli Bai, Ho-fung Leung, Irwin King
2025	J	`jnl`	Dream-VL & Dream-VLA: Open Vision-Language and Vision-Language-Action Models with Diffusion Language Model Backbone. CoRR Jiacheng Ye, Shansan Gong, Jiahui Gao, Junming Fan, Shuang Wu, Wei Bi, Haoli Bai, Lifeng Shang, Lingpeng Kong
2025	J	`jnl`	E CoRR Tao Yuan, Haoli Bai, Yinfei Pan, Xuyang Cao, Tianyu Zhang, Lu Hou, Ting Hu, Xianzhi Yu
2025	A*	`conf`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CVPR 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	—	`conf`	Efficient Inference for Large Language Models -Algorithm, Model, and System. EMNLP (Tutorial Abstracts) Xuefei Ning, Guohao Dai, Haoli Bai, Lu Hou, Yu Wang, Qun Liu
2025	—	`conf`	Faster and Better LLMs via Latency-Aware Test-Time Scaling. EMNLP (Findings) Zili Wang, Tianyu Zhang, Haoli Bai, Lu Hou, Xianzhi Yu, Wulong Liu, Shiming Xiang, Lei Zhu
2025	J	`jnl`	Faster and Better LLMs via Latency-Aware Test-Time Scaling. CoRR Zili Wang, Tianyu Zhang, Lei Zhu, Haoli Bai, Lu Hou, Shiming Xiang, Xianzhi Yu, Wulong Liu
2025	A*	`conf`	FlatQuant: Flatness Matters for LLM Quantization. ICML 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	J	`jnl`	Fourier-VLM: Compressing Vision Tokens in the Frequency Domain for Large Vision-Language Models. CoRR Huanyu Wang, Jushi Kai, Haoli Bai, Lu Hou, Bo Jiang, Ziwei He, Zhouhan Lin
2025	J	`jnl`	FreqKV: Frequency Domain Key-Value Compression for Efficient Context Window Extension. CoRR Jushi Kai, Boyi Zeng, Yixuan Wang, Haoli Bai, Ziwei He, Bo Jiang, Zhouhan Lin
2025	J	`jnl`	HERMES: Towards Efficient and Verifiable Mathematical Reasoning in LLMs. CoRR Azim Ospanov, Zijin Feng, Jiacheng Sun, Haoli Bai, Shen Xin, Farzan Farnia
2025	J	`jnl`	InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search. CoRR Kaican Li, Lewei Yao, Jiannan Wu, Tiezheng Yu, Jierun Chen, Haoli Bai, Lu Hou, Lanqing Hong, Wei Zhang, Nevin L. Zhang
2025	J	`jnl`	MMSearch-Plus: A Simple Yet Challenging Benchmark for Multimodal Browsing Agents. CoRR Xijia Tao, Yihua Teng, Xinxing Su, Xinyu Fu, Jihao Wu, Chaofan Tao, Ziru Liu, Haoli Bai, Rui Liu, Lingpeng Kong
2025	J	`jnl`	Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-session Agents. CoRR Yiming Du, Baojun Wang, Yifan Xiang, Zhaowei Wang, Wenyu Huang, Boyang Xue, Bin Liang, Xingshan Zeng, Fei Mi, Haoli Bai, Lifeng Shang, Jeff Z. Pan, Yuxin Jiang, Kam-Fai Wong
2025	J	`jnl`	Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models. CoRR Ruikang Liu, Yuxuan Sun, Manyi Zhang, Haoli Bai, Xianzhi Yu, Tiezheng Yu, Chun Yuan, Lu Hou
2025	J	`jnl`	The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. CoRR Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiaohui Li, Lu Hou, Lifeng Shang, Qun Liu
2025	J	`jnl`	Think Before You Talk: Enhancing Meaningful Dialogue Generation in Full-Duplex Speech Language Models with Planning-Inspired Text Guidance. CoRR Wenqian Cui, Lei Zhu, Xiaohui Li, Zhihan Guo, Haoli Bai, Lu Hou, Irwin King
2025	A*	`conf`	TreeKV: Smooth Key-Value Cache Compression with Tree Structures. IJCAI Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang
2025	J	`jnl`	TreeKV: Smooth Key-Value Cache Compression with Tree Structures. CoRR Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang
2025	Misc	`conf`	WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. ICASSP Jian Yuan, Ziwei He, Haoli Bai, Jingwen Leng, Bo Jiang
2025	J	`jnl`	WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. CoRR Jian Yuan, Ziwei He, Haoli Bai, Jingwen Leng, Bo Jiang
2024	J	`jnl`	EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. CoRR 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, Jun Yao, Lanqing Hong, Lu Hou, Hang Xu
2024	J	`jnl`	FlatQuant: Flatness Matters for LLM Quantization. CoRR 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
2024	—	`conf`	IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
2024	J	`jnl`	IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
2024	A*	`conf`	MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric. CVPR Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
2024	J	`jnl`	MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric. CoRR Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
2024	A*	`conf`	Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
2024	J	`jnl`	S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
2024	—	`conf`	Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
2024	J	`jnl`	Visually Guided Generative Text-Layout Pre-training for Document Intelligence. CoRR Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong
2023	—	`conf`	Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
2023	—	`conf`	Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. ACL (1) 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
2022	Misc	`conf`	Dynamically Pruning Segformer for Efficient Semantic Segmentation. ICASSP Haoli Bai, Hongda Mao, Dinesh Nair
2022	A*	`conf`	Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
2022	J	`jnl`	Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. CoRR Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu
2021	—	`conf`	BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
2021	—	`conf`	DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu
2021	B	`conf`	Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
2021	J	`jnl`	Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
2021	J	`jnl`	Dynamically pruning segformer for efficient semantic segmentation. CoRR Haoli Bai, Hongda Mao, Dinesh Nair
2021	J	`jnl`	Gradient estimation of information measures in deep learning. Knowl. Based Syst. Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
2021	J	`jnl`	Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
2020	J	`jnl`	Bayesian Automatic Model Compression. IEEE J. Sel. Top. Signal Process. Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng
2020	J	`jnl`	BinaryBERT: Pushing the Limit of BERT Quantization. CoRR Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
2020	J	`jnl`	DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
2020	J	`jnl`	Discrete Variational Attention Models for Language Generation. CoRR Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King
2020	J	`jnl`	Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
2020	A*	`conf`	Few Shot Network Compression via Cross Distillation. AAAI Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
2020	A*	`conf`	M-NAS: Meta Neural Architecture Search. AAAI Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng
2020	A*	`conf`	RTN: Reparameterized Ternary Network. AAAI Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
2020	A*	`conf`	Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng
2020	J	`jnl`	Structured pruning of recurrent neural networks through neuron selection. Neural Networks Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu
2020	A*	`conf`	TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang
2019	J	`jnl`	Few Shot Network Compression via Cross Distillation. CoRR Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
2019	J	`jnl`	RTN: Reparameterized Ternary Network. CoRR Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
2019	J	`jnl`	Structured Pruning of Recurrent Neural Networks through Neuron Selection. CoRR Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu
2019	J	`jnl`	Variational Random Function Model for Network Modeling. IEEE Trans. Neural Networks Learn. Syst. Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville
2018	J	`jnl`	DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. CoRR Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
2018	A	`conf`	Neural Relational Topic Models for Scientific Article Analysis. CIKM Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu
2018	A*	`conf`	Structured Inference for Recurrent Hidden Semi-markov Model. IJCAI Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
2017	B	`conf`	Learning from semantically dependent multi-tasks. IJCNN Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe
2017	J	`jnl`	Stochastic Sequential Neural Networks with Structured Inference. CoRR Hao Liu, Haoli Bai, Lirong He, Zenglin Xu
2016	C	`conf`	Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. ACML Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li