Kai Liu

34 papers A* 10Journal 18Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
AUHead: Realistic Emotional Talking Head Generation via Action Units Control.
CoRR
Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua
2026 J jnl
JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation.
CoRR
Kai Liu, Yanhao Zheng, Kai Wang, Shengqiong Wu, Rongjunchen Zhang, Jiebo Luo, Dimitrios Hatzinakos, Ziwei Liu, Hao Fei, Tat-Seng Chua
2025 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
IEEE Trans. Image Process.
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2025 J jnl
JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization.
CoRR
Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Rongxin Jiang, Jiebo Luo, Hao Fei, Tat-Seng Chua
2025 J jnl
JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation.
CoRR
Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua
2025 — conf
Structure-aware Domain Knowledge Injection for Large Language Models.
ACL (1)
Kai Liu, Ze Chen, Zhihang Fu, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2025 A* conf
The ACM Multimedia 2025 Grand Challenge of Truthful and Responsible Multimodal Learning.
ACM Multimedia
Xudong Han, Kai Liu, Yanlin Li, Hao Li, Zheng Wang
2024 J jnl
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
CoRR
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2024 A* conf
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NeurIPS
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
2024 J jnl
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
CoRR
Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
2024 J jnl
ESOD: Efficient Small Object Detection on High-Resolution Images.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
2024 J jnl
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge.
CoRR
Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 A* conf
Enhancing LLM's Cognition via Structurization.
NeurIPS
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 J jnl
Enhancing LLM's Cognition via Structurization.
CoRR
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
2024 A* conf
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.
ICLR
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
2024 J jnl
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.
CoRR
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
2024 J jnl
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.
CoRR
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
2024 A* conf
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
NeurIPS
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2024 J jnl
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.
CoRR
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
2023 A* conf
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.
NeurIPS
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
2023 A* conf
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.
NeurIPS
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
2023 A* conf
Uncertainty-aware Unsupervised Multi-Object Tracking.
ICCV
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2023 J jnl
Uncertainty-aware Unsupervised Multi-Object Tracking.
CoRR
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
2021 — conf
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.
NAACL-HLT
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
2020 A* conf
A Robust Adversarial Training Approach to Machine Reading Comprehension.
AAAI
Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She
2020 A* conf
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension.
IJCAI
Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo
2020 J jnl
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.
CoRR
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
2019 — conf
Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension.
ACL (1)
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li
2018 — conf
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.
QA@ACL
An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li
2018 J jnl
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.
CoRR
An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li
2018 — conf
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.
QA@ACL
Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
2018 — conf
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.
ACL (1)
Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
2018 J jnl
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.
CoRR
Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang
2017 J jnl
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.
CoRR
Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang