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2020 – today
- 2024
[c13]Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin:
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. ACL (1) 2024: 12161-12176- [c12]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. ICLR 2024 - [c11]Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. ICLR 2024 - [c10]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. ICLR 2024 - [c9]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. NAACL-HLT (Findings) 2024: 4465-4480 - [c8]Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang:
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving. NeurIPS 2024 - [i15]Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin, Haiming Wang, Zhenguo Li, Linqi Song, Xiaodan Liang:
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data. CoRR abs/2402.08957 (2024) - [i14]Xiaohan Lin, Qingxing Cao, Yinya Huang, Zhicheng Yang, Zhengying Liu, Zhenguo Li, Xiaodan Liang:
ATG: Benchmarking Automated Theorem Generation for Generative Language Models. CoRR abs/2405.06677 (2024) - [i13]Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang:
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving. CoRR abs/2406.14408 (2024) - 2023
- [c7]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang
, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [i12]Haiming Wang, Huajian Xin, Chuanyang Zheng, Lin Li, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Heng Liao, Xiaodan Liang:
LEGO-Prover: Neural Theorem Proving with Growing Libraries. CoRR abs/2310.00656 (2023) - [i11]Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng Yang, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang:
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. CoRR abs/2310.02954 (2023) - [i10]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - 2022
- [j5]Xunlin Zhan, Yinya Huang, Xiao Dong, Qingxing Cao, Xiaodan Liang:
PathReasoner: Explainable reasoning paths for commonsense question answering. Knowl. Based Syst. 235: 107612 (2022) - [j4]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. IEEE Trans. Neural Networks Learn. Syst. 33(7): 2758-2767 (2022) - 2021
- [j3]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 887-901 (2021) - [c6]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. AAAI 2021: 6375-6383 - [c5]Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin:
Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. ICCV 2021: 1594-1603 - [p1]Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin:
Graph Reasoning Networks and Applications. Neuro-Symbolic Artificial Intelligence 2021: 103-125 - 2020
- [j2]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2809-2824 (2020) - [i9]Qingxing Cao, Xiaodan Liang, Keze Wang, Liang Lin:
Linguistically Driven Graph Capsule Network for Visual Question Reasoning. CoRR abs/2003.10065 (2020) - [i8]Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. CoRR abs/2012.07192 (2020) - [i7]Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. CoRR abs/2012.13185 (2020)
2010 – 2019
- 2019
- [i6]Yukai Shi, Guanbin Li, Qingxing Cao, Keze Wang, Liang Lin:
Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning. CoRR abs/1905.01509 (2019) - [i5]Qingxing Cao, Bailin Li, Xiaodan Liang, Liang Lin:
Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network. CoRR abs/1909.10128 (2019) - 2018
- [c4]Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, Liang Lin:
Interpretable Video Captioning via Trajectory Structured Localization. CVPR 2018: 6829-6837 - [c3]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CVPR 2018: 7249-7257 - [i4]Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, Liang Lin:
Visual Question Reasoning on General Dependency Tree. CoRR abs/1804.00105 (2018) - [i3]Qingxing Cao, Xiaodan Liang, Bailin Li, Liang Lin:
Interpretable Visual Question Answering by Reasoning on Dependency Trees. CoRR abs/1809.01810 (2018) - 2017
- [c2]Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. CVPR 2017: 1656-1664 - [i2]Qingxing Cao, Liang Lin, Yukai Shi, Xiaodan Liang, Guanbin Li:
Attention-Aware Face Hallucination via Deep Reinforcement Learning. CoRR abs/1708.03132 (2017) - 2016
- [j1]Xiaodan Liang, Liang Lin, Qingxing Cao, Rui Huang, Yongtian Wang:
Recognizing Focal Liver Lesions in CEUS With Dynamically Trained Latent Structured Models. IEEE Trans. Medical Imaging 35(3): 713-727 (2016) - 2015
- [i1]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model. CoRR abs/1502.00750 (2015) - 2014
- [c1]Xiaodan Liang, Qingxing Cao, Rui Huang, Liang Lin:
Recognizing focal liver lesions in contrast-enhanced ultrasound with discriminatively trained spatio-temporal model. ISBI 2014: 1184-1187
Coauthor Index
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