Jiaheng Liu

According to our database, Jiaheng Liu authored at least 89 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deep learning-based multimodal fusion of the surface ECG and clinical features in prediction of atrial fibrillation recurrence following catheter ablation.

Yue Qiu, Hongcheng Guo, Shixin Wang, Shu Yang, Xiafeng Peng, Dongqin Xiayao, Renjie Chen, Jian Yang, Jiaheng Liu, Mingfang Li, Zhoujun Li, Hongwu Chen, Minglong Chen

BMC Medical Informatics Decis. Mak., December, 2024

A unified efficient deep image compression framework and its application on human-centric Task.

Xueyuan Chen, Zhihao Hu, Guo Lu, Jiaheng Liu

Multim. Tools Appl., September, 2024

Reuse distance-based shared LLC management mechanism for heterogeneous CPU-GPU systems.

Jiaheng Liu, Ryusuke Egawa, Keichi Takahashi, Yoichi Shimomura, Hiroyuki Takizawa

IEICE Electron. Express, 2024

mt4CrossOIE: Multi-stage tuning for cross-lingual open information extraction.

Tongliang Li, Zixiang Wang, Linzheng Chai, Jian Yang, Jiaqi Bai, Yuwei Yin, Jiaheng Liu, Hongcheng Guo, Liqun Yang, Hebboul Zine El Abidine, Zhoujun Li

Expert Syst. Appl., 2024

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet.

Haoran Zhang, Hangyu Guo, Shuyue Guo, Meng Cao, Wenhao Huang, Jiaheng Liu, Ge Zhang

CoRR, 2024

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.

Kaijing Ma, Xinrun Du, Yunran Wang, Haoran Zhang, Zhoufutu Wen, Xingwei Qu, Jian Yang, Jiaheng Liu, Minghao Liu, Xiang Yue, Wenhao Huang, Ge Zhang

CoRR, 2024

HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models.

Haoran Que, Feiyu Duan, Liqun He, Yutao Mou, Wangchunshu Zhou, Jiaheng Liu, Wenge Rong, Zekun Moore Wang, Jian Yang, Ge Zhang, Junran Peng, Zhaoxiang Zhang, Songyang Zhang, Kai Chen

CoRR, 2024

OmniBench: Towards The Future of Universal Omni-Language Models.

Yizhi Li, Ge Zhang, Yinghao Ma, Ruibin Yuan, Kang Zhu, Hangyu Guo, Yiming Liang, Jiaheng Liu, Jian Yang, Siwei Wu, Xingwei Qu, Jinjie Shi, Xinyue Zhang, Zhenzhu Yang, Xiangzhou Wang, Zhaoxiang Zhang, Zachary Liu, Emmanouil Benetos, Wenhao Huang, Chenghua Lin

CoRR, 2024

FuzzCoder: Byte-level Fuzzing Test via Large Language Model.

Liqun Yang, Jian Yang, Chaoren Wei, Guanglin Niu, Ge Zhang, Yunli Wang, Linzheng Chai, Wanxu Xia, Hongcheng Guo, Shun Zhang, Jiaheng Liu, Yuwei Yin, Junran Peng, Jiaxin Ma, Liang Sun, Zhoujun Li

CoRR, 2024

TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

Xianjie Wu, Jian Yang, Linzheng Chai, Ge Zhang, Jiaheng Liu, Xinrun Du, Di Liang, Daixin Shu, Xianfu Cheng, Tianzhen Sun, Guanglin Niu, Tongliang Li, Zhoujun Li

CoRR, 2024

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.

Yiming Liang, Ge Zhang, Xingwei Qu, Tianyu Zheng, Jiawei Guo, Xinrun Du, Zhenzhu Yang, Jiaheng Liu, Chenghua Lin, Lei Ma, Wenhao Huang, Jiajun Zhang

CoRR, 2024

NC-NCD: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

CoRR, 2024

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association.

Siwei Wu, Kang Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin

CoRR, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, 2024

LongIns: A Challenging Long-context Instruction-based Exam for LLMs.

Shawn Gavin, Tuney Zheng, Jiaheng Liu, Quehry Que, Noah Wang, Jian Yang, Chenchen Zhang, Wenhao Huang, Wenhu Chen, Ge Zhang

CoRR, 2024

UniCoder: Scaling Code Large Language Model via Universal Code.

Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li

CoRR, 2024

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models.

Leyan Wang, Yonggang Jin, Tianhao Shen, Tianyu Zheng, Xinrun Du, Chenchen Zhang, Wenhao Huang, Jiaheng Liu, Shi Wang, Ge Zhang, Liuyu Xiang, Zhaofeng He

CoRR, 2024

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level.

Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang

CoRR, 2024

McEval: Massively Multilingual Code Evaluation.

Linzheng Chai, Shukai Liu, Jian Yang, Yuwei Yin, Ke Jin, Jiaheng Liu, Tao Sun, Ge Zhang, Changyu Ren, Hongcheng Guo, Zekun Wang, Boyang Wang, Xianjie Wu, Bing Wang, Tongliang Li, Liqun Yang, Sufeng Duan, Zhoujun Li

CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.

Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni

CoRR, 2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

CoRR, 2024

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.

Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng

CoRR, 2024

R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models.

Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng

CoRR, 2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen

CoRR, 2024

MuPT: A Generative Symbolic Music Pretrained Transformer.

Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model.

Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis.

Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang

CoRR, 2024

Lemur: Log Parsing with Entropy Sampling and Chain-of-Thought Merging.

Wei Zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang

CoRR, 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

CoRR, 2024

MLAD: A Unified Model for Multi-system Log Anomaly Detection.

Runqiang Zang, Hongcheng Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Xu Shi, Liangfan Zheng, Bo Zhang

CoRR, 2024

xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning.

Linzheng Chai, Jian Yang, Tao Sun, Hongcheng Guo, Jiaheng Liu, Bing Wang, Xinnian Liang, Jiaqi Bai, Tongliang Li, Qiyao Peng, Zhoujun Li

CoRR, 2024

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

CoRR, 2024

Fractional-order rate-dependent thermoelastic diffusion theory based on new definitions of fractional derivatives with non-singular kernels and the associated structural transient dynamic responses analysis of sandwich-like composite laminates.

Chenlin Li, Jiaheng Liu, Tianhu He

Commun. Nonlinear Sci. Numer. Simul., 2024

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection.

Ze Yuan, Jinyang Guo, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models.

Zining Wang, Jinyang Guo, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets.

Zeyu Li, Ruitong Gan, Chuanchen Luo, Yuxi Wang, Jiaheng Liu, Ziwei Zhu, Qing Li, Xucheng Yin, Man Zhang, Zhaoxiang Zhang, Junran Peng

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Compressing Large Language Models by Joint Sparsification and Quantization.

Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OWL: A Large Language Model for IT Operations.

Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts.

Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo

Proceedings of the Computer Vision - ECCV 2024, 2024

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling.

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt.

Jian Yang, Hongcheng Guo, Yuwei Yin, Jiaqi Bai, Bing Wang, Jiaheng Liu, Xinnian Liang, Linzheng Chai, Liqun Yang, Zhoujun Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

NC²D: Novel Class Discovery for Node Classification.

Yue Hou, Xueyuan Chen, He Zhu, Ruomei Liu, Bowen Shi, Jiaheng Liu, Junran Wu, Ke Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!

Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Real-world Scenario: Imbalanced New Intent Discovery.

Shun Zhang, Chaoran Yan, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, ZhiqiBai ZhiqiBai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Noah Wang, Z. y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

UniCoder: Scaling Code Large Language Model via Universal Code.

Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

E2-LLM: Efficient and Extreme Length Extension of Large Language Models.

Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection.

Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Multim., 2023

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.

Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

CoRR, 2023

Multilingual Entity and Relation Extraction from Unified to Language-specific Training.

Zixiang Wang, Jian Yang, Tongliang Li, Jiaheng Liu, Ying Mo, Jiaqi Bai, Longtao He, Zhoujun Li

CoRR, 2023

ICD-Face: Intra-class Compactness Distillation for Face Recognition.

Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Achieving Fine-grained Word Sense Disambiguation with Context Hypergraph and Sememe Hypergraph.

Jiaheng Liu, Haonan Zeng

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

M2C: Towards Automatic Multimodal Manga Complement.

Hongcheng Guo, Boyang Wang, Jiaqi Bai, Jiaheng Liu, Jian Yang, Zhoujun Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LogLG: Weakly Supervised Log Anomaly Detection via Log-Event Graph Construction.

Hongcheng Guo, Yuhui Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Liangfan Zheng, Weichao Hou, Bo Zhang

Proceedings of the Database Systems for Advanced Applications, 2023

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds.

Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking.

Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multilingual Entity and Relation Extraction from Unified to Language-specific Training.

Zixiang Wang, Jian Yang, Tongliang Li, Linzheng Chai, Jiaheng Liu, Ying Mo, Jiaqi Bai, Zhoujun Li

Proceedings of the International Conference on Electronics, 2023

Adaptive Contrastive Knowledge Distillation for BERT Compression.

Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Improved Harris Hawks Optimization for Configuration of PV Intelligent Edge Terminals.

Leijiao Ge, Jiaheng Liu, Jun Yan, Muhammad Umer Rafiq

IEEE Trans. Sustain. Comput., 2022

APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition.

Jiaheng Liu, Jinyang Guo, Dong Xu

IEEE Trans. Image Process., 2022

3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing.

Jinyang Guo, Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2022

A Conflict-Aware Capacity Control Mechanism for Deep Cache Hierarchy.

Jiaheng Liu, Ryusuke Egawa, Hiroyuki Takizawa

IEICE Trans. Inf. Syst., 2022

3D-QueryIS: A Query-based Framework for 3D Instance Segmentation.

Jiaheng Liu, Tong He, Honghui Yang, Rui Su, Jiayi Tian, Junran Wu, Hongcheng Guo, Ke Xu, Wanli Ouyang

CoRR, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.

Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Furu Wei

CoRR, 2022

Cross-Lingual Cross-Modal Consolidation for Effective Multilingual Video Corpus Moment Retrieval.

Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, Ping Li

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Computer-Aided Tuberculosis Diagnosis with Attribute Reasoning Assistance.

Chengwei Pan, Gangming Zhao, Junjie Fang, Baolian Qi, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li, Yizhou Yu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation.

Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, Zheng Cui

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

OneFace: One Threshold for All.

Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

CoupleFace: Relation Matters for Face Recognition Distillation.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

Proceedings of the Computer Vision - ECCV 2022, 2022

Deep 3D Vessel Segmentation based on Cross Transformer Network.

Chengwei Pan, Baolian Qi, Gangming Zhao, Jiaheng Liu, Chaowei Fang, Dingwen Zhang, Jinpeng Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AnchorFace: Boosting TAR@FAR for Practical Face Recognition.

Jiaheng Liu, Haoyu Qin, Yichao Wu, Ding Liang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Block Proposal Neural Architecture Search.

Jiaheng Liu, Shunfeng Zhou, Yichao Wu, Ken Chen, Wanli Ouyang, Dong Xu

IEEE Trans. Image Process., 2021

GeometryMotion-Net: A Strong Two-Stream Baseline for 3D Action Recognition.

Jiaheng Liu, Dong Xu

IEEE Trans. Circuits Syst. Video Technol., 2021

Inter-class Discrepancy Alignment for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Zhenmao Li, Ken Chen, Ding Liang, Junjie Yan

CoRR, 2021

Improved adaptive gray wolf genetic algorithm for photovoltaic intelligent edge terminal optimal configuration.

Leijiao Ge, Jiaheng Liu, Bo Wang, Yue Zhou, Jun Yan, Ming Wang

Comput. Electr. Eng., 2021

DAM: Discrepancy Alignment Metric for Face Recognition.

Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A Unified End-to-End Framework for Efficient Deep Image Compression.

Jiaheng Liu, Guo Lu, Zhihao Hu, Dong Xu

CoRR, 2020

A Conflict-Aware Capacity Control Mechanism for Last-Level Cache.

Jiaheng Liu, Ryusuke Egawa, Mulya Agung, Hiroyuki Takizawa

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

LAW: Learning to Auto Weight.

Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Junjie Yan

CoRR, 2019

Correlation Congruence for Knowledge Distillation.

Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Distillation via Route Constrained Optimization.

Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Aggregate Signature Consensus Scheme Based on FPGA.

Jinhua Fu, Jiaheng Liu, Yongzhong Huang, Xueming Si, Yongjuan Wang, Bin Li

Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

2018

New 3D 16-Ary Signal Constellations and Their Symbol Error Probabilities in AWGN and Rayleigh Fading Channels.

Zhenxing Chen, Jiaheng Liu, Shuang Li, Seog Geun Kang

Wirel. Commun. Mob. Comput., 2018