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2020 – today
- 2024
[c25]Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multimodal Tracking. AAAI 2024: 927-935- [c24]Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang:
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. ACL (Findings) 2024: 11453-11464 - [c23]Yukang Liang, Junliang Guo, Yongxin Zhu, Linli Xu:
Summarizing Like Human: Edit-Based Text Summarization with Keywords. ICANN (7) 2024: 333-351 - [c22]Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang:
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. ICLR 2024 - [c21]Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian:
GAIA: Zero-shot Talking Avatar Generation. ICLR 2024 - [c20]Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu:
Empowering Diffusion Models on the Embedding Space for Text Generation. NAACL-HLT 2024: 4664-4683 - [i31]Jianhong Bai, Tianyu He, Yuchi Wang, Junliang Guo, Haoji Hu, Zuozhu Liu, Jiang Bian:
UniEdit: A Unified Tuning-Free Framework for Video Motion and Appearance Editing. CoRR abs/2402.13185 (2024) - [i30]Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang:
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. CoRR abs/2403.00758 (2024) - [i29]Yuchi Wang, Junliang Guo, Jianhong Bai, Runyi Yu, Tianyu He, Xu Tan, Xu Sun, Jiang Bian:
InstructAvatar: Text-Guided Emotion and Motion Control for Avatar Generation. CoRR abs/2405.15758 (2024) - [i28]Runyi Yu, Tianyu He, Ailing Zhang, Yuchi Wang, Junliang Guo, Xu Tan, Chang Liu, Jie Chen, Jiang Bian:
Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement. CoRR abs/2406.08096 (2024) - [i27]Wentao Zhang, Junliang Guo, Tianyu He, Li Zhao, Linli Xu, Jiang Bian:
Video In-context Learning. CoRR abs/2407.07356 (2024) - [i26]Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian:
Compositional 3D-aware Video Generation with LLM Director. CoRR abs/2409.00558 (2024) - 2023
- [j4]Yisheng Xiao
, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11407-11427 (2023) - [j3]Can Liang, Yang Li, Xueyao Hu, Yanhua Wang, Liang Zhang, Min Wang, Junliang Guo:
Coherent-on-Receive Synthesis Using Dominant Scatterer in Millimeter-Wave Distributed Coherent Aperture Radar. Remote. Sens. 15(6): 1505 (2023) - [c19]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. AAAI 2023: 5330-5338 - [c18]Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian:
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. AAAI 2023: 13772-13779 - [c17]Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Shufang Xie, Xu Tan, Tao Qin, Tie-Yan Liu:
Extract and Attend: Improving Entity Translation in Neural Machine Translation. ACL (Findings) 2023: 1697-1710 - [i25]Rui Lv, Junliang Guo, Rui Wang, Xu Tan, Qi Liu, Tao Qin:
N-Gram Nearest Neighbor Machine Translation. CoRR abs/2301.12866 (2023) - [i24]Kai Shen, Junliang Guo, Xu Tan, Siliang Tang, Rui Wang, Jiang Bian:
A Study on ReLU and Softmax in Transformer. CoRR abs/2302.06461 (2023) - [i23]Shufang Xie, Huishuai Zhang, Junliang Guo, Xu Tan, Jiang Bian, Hany Hassan Awadalla, Arul Menezes, Tao Qin, Rui Yan:
ResiDual: Transformer with Dual Residual Connections. CoRR abs/2304.14802 (2023) - [i22]Bei Li, Rui Wang, Junliang Guo, Kaitao Song, Xu Tan, Hany Hassan, Arul Menezes, Tong Xiao, Jiang Bian, JingBo Zhu:
Deliberate then Generate: Enhanced Prompting Framework for Text Generation. CoRR abs/2305.19835 (2023) - [i21]Zixin Zeng, Rui Wang, Yichong Leng, Junliang Guo, Xu Tan, Tao Qin, Tie-Yan Liu:
Extract and Attend: Improving Entity Translation in Neural Machine Translation. CoRR abs/2306.02242 (2023) - [i20]Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu, Tao Qin:
Retrosynthesis Prediction with Local Template Retrieval. CoRR abs/2306.04123 (2023) - [i19]Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang:
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. CoRR abs/2309.08532 (2023) - [i18]Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, Jialiang Zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, Sheng Zhao, Jiang Bian:
GAIA: Zero-shot Talking Avatar Generation. CoRR abs/2311.15230 (2023) - [i17]Bing Cao, Junliang Guo, Pengfei Zhu, Qinghua Hu:
Bi-directional Adapter for Multi-modal Tracking. CoRR abs/2312.10611 (2023) - 2022
- [c16]Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu:
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. AAAI 2022: 10974-10982 - [c15]Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT 2022: 1747-1757 - [c14]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS 2022 - [c13]Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo:
Task-Oriented Dialogue System as Natural Language Generation. SIGIR 2022: 2698-2703 - [i16]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR abs/2204.09269 (2022) - [i15]Jiquan Li, Junliang Guo, Yongxin Zhu, Xin Sheng, Deqiang Jiang, Bo Ren, Linli Xu:
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation. CoRR abs/2205.10884 (2022) - [i14]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR abs/2205.14807 (2022) - [i13]Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu:
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR abs/2207.04206 (2022) - [i12]Peining Zhang, Junliang Guo, Linli Xu, Mu You, Junming Yin:
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation. CoRR abs/2209.01996 (2022) - [i11]Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian:
VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing. CoRR abs/2211.16934 (2022) - [i10]Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu:
Difformer: Empowering Diffusion Model on Embedding Space for Text Generation. CoRR abs/2212.09412 (2022) - 2021
- [j2]Junliang Guo, Yanbing Xue, Jing Cai, Zan Gao, Guangping Xu, Hua Zhang:
A bus passenger re-identification dataset and a deep learning baseline using triplet embedding. Multim. Tools Appl. 80(11): 16425-16440 (2021) - [j1]Junliang Guo, Zhirui Zhang, Linli Xu, Boxing Chen, Enhong Chen:
Adaptive Adapters: An Efficient Way to Incorporate BERT Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1740-1751 (2021) - [c12]Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen:
Adaptive Nearest Neighbor Machine Translation. ACL/IJCNLP (2) 2021: 368-374 - [c11]Linli Xu, Sijie Teng, Ruoyu Zhao, Junliang Guo, Chi Xiao, Deqiang Jiang, Bo Ren:
Hierarchical Multi-label Text Classification with Horizontal and Vertical Category Correlations. EMNLP (1) 2021: 2459-2468 - [i9]Junliang Guo, Zhirui Zhang, Linlin Zhang, Linli Xu, Boxing Chen, Enhong Chen, Weihua Luo:
Towards Variable-Length Textual Adversarial Attacks. CoRR abs/2104.08139 (2021) - [i8]Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo, Jiajun Chen:
Adaptive Nearest Neighbor Machine Translation. CoRR abs/2105.13022 (2021) - [i7]Weizhi Wang, Zhirui Zhang, Junliang Guo, Yinpei Dai, Boxing Chen, Weihua Luo:
Task-Oriented Dialogue System as Natural Language Generation. CoRR abs/2108.13679 (2021) - 2020
- [c10]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. AAAI 2020: 7839-7846 - [c9]Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu:
IntroVNMT: An Introspective Model for Variational Neural Machine Translation. AAAI 2020: 8830-8837 - [c8]Junliang Guo, Linli Xu, Enhong Chen:
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. ACL 2020: 376-385 - [c7]Yuan Xint, Linli Xu, Junliang Guo, Jiquan Li, Xin Sheng, Yuanyuan Zhou:
Label Incorporated Graph Neural Networks for Text Classification. ICPR 2020: 8892-8898 - [c6]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. NeurIPS 2020 - [i6]Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen:
Incorporating BERT into Parallel Sequence Decoding with Adapters. CoRR abs/2010.06138 (2020)
2010 – 2019
- 2019
- [c5]Jingchang Liu, Linli Xu, Junliang Guo, Xin Sheng:
Adaptive Proximal Average Based Variance Reducing Stochastic Methods for Optimization with Composite Regularization. AAAI 2019: 1552-1559 - [c4]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. AAAI 2019: 3723-3730 - [c3]Junliang Guo, Linli Xu, Jingchang Liu:
SPINE: Structural Identity Preserved Inductive Network Embedding. IJCAI 2019: 2399-2405 - [i5]Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu:
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1911.08717 (2019) - 2018
- [c2]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. DASFAA (1) 2018: 3-19 - [c1]Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen:
Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. ICDM 2018: 1212-1217 - [i4]Junliang Guo, Linli Xu, Enhong Chen:
SPINE: Structural Identity Preserved Inductive Network Embedding. CoRR abs/1802.03984 (2018) - [i3]Shuheng Shen, Linli Xu, Jingchang Liu, Junliang Guo, Qing Ling:
Asynchronous Stochastic Composition Optimization with Variance Reduction. CoRR abs/1811.06396 (2018) - [i2]Junliang Guo, Xu Tan, Di He, Tao Qin, Linli Xu, Tie-Yan Liu:
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input. CoRR abs/1812.09664 (2018) - 2017
- [i1]Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen:
Generalized Neural Graph Embedding with Matrix Factorization. CoRR abs/1711.04094 (2017)
Coauthor Index
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