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2020 – today
- 2024
[c37]Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang:
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. EMNLP 2024: 3942-3965- [i24]Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang:
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. CoRR abs/2407.21417 (2024) - 2023
- [j10]Zhiheng Huang, Palaiahnakote Shivakumara, Maryam Asadzadeh Kaljahi, Ahlad Kumar, Umapada Pal, Tong Lu
, Michael Blumenstein:
Writer age estimation through handwriting. Multim. Tools Appl. 82(11): 16033-16055 (2023) - [c36]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c35]Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang:
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. ACL (Findings) 2023: 5523-5539 - [c34]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) 2023: 9133-9146 - [c33]Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang, Zhiheng Huang:
Hybrid Hierarchical Retrieval for Open-Domain Question Answering. ACL (Findings) 2023: 10680-10689 - [c32]Daniel Xiaodan Zhou, Lan Liu, Anmol Anubhai, Maansi Shandilya, Steph Sigalas, William Yang Wang, Zhiheng Huang:
Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search. CHIIR 2023: 308-312 - [c31]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. EMNLP (Findings) 2023: 13300-13310 - [c30]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [i23]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i22]Deguang Kong, Daniel Xiaodan Zhou, Zhiheng Huang, Steph Sigalas:
Personalized Search Via Neural Contextual Semantic Relevance Ranking. CoRR abs/2309.05113 (2023) - 2022
- [c29]Zhiheng Huang, Qi Lu, Xiangyun Li, Kang Li:
UDE-based Robust Control of Robot Manipulator Using Dual Quaternion. CASE 2022: 919-924 - [c28]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henghui Zhu, Xinchi Chen, Peng Xu, Zhiheng Huang, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. NAACL-HLT (Findings) 2022: 465-475 - [i21]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Rui Dong, Xiaokai Wei, Henry Zhu, Xinchi Chen, Zhiheng Huang, Peng Xu, Andrew O. Arnold, Dan Roth:
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner. CoRR abs/2205.09224 (2022) - [i20]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR abs/2210.06633 (2022) - [i19]Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang:
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. CoRR abs/2212.08780 (2022) - [i18]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. CoRR abs/2212.09912 (2022) - 2021
- [j9]Zhiheng Huang, Palaiahnakote Shivakumara, Tong Lu, Umapada Pal, Michael Blumenstein, Bhaarat Chetty, G. Hemantha Kumar:
Improved Ring Radius Transform-Based Reconstruction for Video Character Recognition. Int. J. Pattern Recognit. Artif. Intell. 35(7): 2150023:1-2150023:24 (2021) - [c27]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. EMNLP (Findings) 2021: 3874-3884 - [c26]Minglong Xue, Zhiheng Huang, Ruo-Ze Liu, Tong Lu:
A Novel Attention Enhanced Residual-In-Residual Dense Network for Text Image Super-Resolution. ICME 2021: 1-6 - [i17]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Multiplicative Position-aware Transformer Models for Language Understanding. CoRR abs/2109.12788 (2021) - [i16]Peng Xu, Davis Liang, Zhiheng Huang, Bing Xiang:
Attention-guided Generative Models for Extractive Question Answering. CoRR abs/2110.06393 (2021) - [i15]Peng Xu, Xinchi Chen, Xiaofei Ma, Zhiheng Huang, Bing Xiang:
Contrastive Document Representation Learning with Graph Attention Networks. CoRR abs/2110.10778 (2021) - 2020
- [j8]Yifei Wang, Zhiheng Huang, Mohammad Shahidehpour, Loi Lei Lai, Zhongqiang Wang, Quansheng Zhu:
Reconfigurable Distribution Network for Managing Transactive Energy in a Multi-Microgrid System. IEEE Trans. Smart Grid 11(2): 1286-1295 (2020) - [c25]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. EMNLP (1) 2020: 1722-1727 - [c24]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. EMNLP (Findings) 2020: 3327-3335 - [i14]Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang:
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding. CoRR abs/2003.07000 (2020) - [i13]Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Embedding-based Zero-shot Retrieval through Query Generation. CoRR abs/2009.10270 (2020) - [i12]Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang:
Improve Transformer Models with Better Relative Position Embeddings. CoRR abs/2009.13658 (2020) - [i11]Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang:
Beyond [CLS] through Ranking by Generation. CoRR abs/2010.03073 (2020)
2010 – 2019
- 2019
- [c23]Julian Salazar, Katrin Kirchhoff, Zhiheng Huang:
Self-attention Networks for Connectionist Temporal Classification in Speech Recognition. ICASSP 2019: 7115-7119 - [i10]Julian Salazar, Katrin Kirchhoff, Zhiheng Huang:
Self-Attention Networks for Connectionist Temporal Classification in Speech Recognition. CoRR abs/1901.10055 (2019) - [i9]Zhiheng Huang, Bing Xiang:
WeNet: Weighted Networks for Recurrent Network Architecture Search. CoRR abs/1904.03819 (2019) - 2018
- [c22]Davis Liang, Zhiheng Huang, Zachary C. Lipton:
Learning Noise-Invariant Representations for Robust Speech Recognition. SLT 2018: 56-63 - [i8]Davis Liang, Zhiheng Huang, Zachary C. Lipton:
Learning Noise-Invariant Representations for Robust Speech Recognition. CoRR abs/1807.06610 (2018) - 2017
- [i7]Yisen Wang, Xuejiao Deng, Songbai Pu, Zhiheng Huang:
Residual Convolutional CTC Networks for Automatic Speech Recognition. CoRR abs/1702.07793 (2017) - 2016
- [c21]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CVPR 2016: 2285-2294 - [c20]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks. CVPR 2016: 4584-4593 - [i6]Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu:
CNN-RNN: A Unified Framework for Multi-label Image Classification. CoRR abs/1604.04573 (2016) - 2015
- [j7]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. 115(3): 211-252 (2015) - [j6]Haohua Zhao, Jun Luo, Zhiheng Huang, Takefumi Nagumo, Jun Murayama, Liqing Zhang:
Statistically Adaptive Image Denoising Based on Overcomplete Topographic Sparse Coding. Neural Process. Lett. 41(3): 357-369 (2015) - [c19]Junhua Mao, Xu Wei, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning Like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. ICCV 2015: 2533-2541 - [c18]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question. NIPS 2015: 2296-2304 - [i5]Junhua Mao, Wei Xu, Yi Yang, Jiang Wang, Zhiheng Huang, Alan L. Yuille:
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images. CoRR abs/1504.06692 (2015) - [i4]Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu:
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering. CoRR abs/1505.05612 (2015) - [i3]Zhiheng Huang, Wei Xu, Kai Yu:
Bidirectional LSTM-CRF Models for Sequence Tagging. CoRR abs/1508.01991 (2015) - [i2]Haonan Yu, Jiang Wang, Zhiheng Huang, Yi Yang, Wei Xu:
Video Paragraph Captioning using Hierarchical Recurrent Neural Networks. CoRR abs/1510.07712 (2015) - 2014
- [c17]Zhiheng Huang, Geoffrey Zweig, Benoît Dumoulin:
Cache based recurrent neural network language model inference for first pass speech recognition. ICASSP 2014: 6354-6358 - [c16]Dong Yu, Adam Eversole, Michael L. Seltzer, Kaisheng Yao, Brian Guenter, Oleksii Kuchaiev, Frank Seide, Huaming Wang, Jasha Droppo, Zhiheng Huang, Geoffrey Zweig, Christopher J. Rossbach, Jon Currey:
An introduction to computational networks and the computational network toolkit (invited talk). INTERSPEECH 2014 - [i1]Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael S. Bernstein, Alexander C. Berg, Li Fei-Fei:
ImageNet Large Scale Visual Recognition Challenge. CoRR abs/1409.0575 (2014) - 2013
- [c15]Zhiheng Huang, Geoffrey Zweig, Michael Levit, Benoît Dumoulin, Barlas Oguz, Shawn Chang:
Accelerating recurrent neural network training via two stage classes and parallelization. ASRU 2013: 326-331 - [c14]Olga Russakovsky, Jia Deng, Zhiheng Huang, Alexander C. Berg, Li Fei-Fei:
Detecting Avocados to Zucchinis: What Have We Done, and Where Are We Going? ICCV 2013: 2064-2071 - [c13]Haohua Zhao, Jun Luo, Zhiheng Huang, Takefumi Nagumo, Jun Murayama, Liqing Zhang:
Image Denoising Based on Overcomplete Topographic Sparse Coding. ICONIP (3) 2013: 266-273 - 2012
- [c12]Zhiheng Huang, Yi Chang, Bo Long, Jean-François Crespo, Anlei Dong, S. Sathiya Keerthi, Su-Lin Wu:
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding. ACL (1) 2012: 611-619
2000 – 2009
- 2009
- [c11]Asli Celikyilmaz, Marcus Thint, Zhiheng Huang:
A Graph-based Semi-Supervised Learning for Question-Answering. ACL/IJCNLP 2009: 719-727 - [c10]Zhiheng Huang, Marcus Thint, Asli Celikyilmaz:
Investigation of Question Classifier in Question Answering. EMNLP 2009: 543-550 - [c9]Zhiheng Huang, Guangping Zeng, Weiqun Xu, Asli Celikyilmaz:
Accurate Semantic Class Classifier for Coreference Resolution. EMNLP 2009: 1232-1240 - [c8]Zhiheng Huang, Qiang Shen:
Preserving piece-wise linearity in fuzzy interpolation. FUZZ-IEEE 2009: 575-580 - [c7]Zengchang Qin, Marcus Thint, Zhiheng Huang:
Ranking Answers by Hierarchical Topic Models. IEA/AIE 2009: 103-112 - 2008
- [j5]Zhiheng Huang, Qiang Shen:
Fuzzy Interpolation and Extrapolation: A Practical Approach. IEEE Trans. Fuzzy Syst. 16(1): 13-28 (2008) - [j4]Zhiheng Huang, Tamás D. Gedeon, Masoud Nikravesh:
Pattern Trees Induction: A New Machine Learning Method. IEEE Trans. Fuzzy Syst. 16(4): 958-970 (2008) - [c6]Zhiheng Huang, Marcus Thint, Zengchang Qin:
Question Classification using Head Words and their Hypernyms. EMNLP 2008: 927-936 - 2007
- [j3]Zhiheng Huang, Paul P. Conway, Rachel C. Thomson:
Microstructural considerations for ultrafine lead free solder joints. Microelectron. Reliab. 47(12): 1997-2006 (2007) - [c5]Zhiheng Huang, Masoud Nikravesh, Ben Azvine, Tamás D. Gedeon:
Weighted Pattern Trees: A Case Study with Customer Satisfaction Dataset. IFSA (1) 2007: 395-406 - 2006
- [b1]Zhiheng Huang:
Rule model simplification. University of Edinburgh, UK, 2006 - [j2]Zhiheng Huang, Qiang Shen:
Fuzzy Interpolative Reasoning via Scale and Move Transformations. IEEE Trans. Fuzzy Syst. 14(2): 340-359 (2006) - [c4]Zhiheng Huang, Tamás D. Gedeon:
Pattern Trees. FUZZ-IEEE 2006: 1784-1791 - 2005
- [c3]Zhiheng Huang, Qiang Shen:
Transformation Based Interpolation with Generalized Representative Values. FUZZ-IEEE 2005: 821-826 - 2004
- [c2]Zhiheng Huang, Qiang Shen:
Scale and move transformation-based fuzzy interpolative reasoning: a revisit. FUZZ-IEEE 2004: 623-628 - 2003
- [j1]Tamás D. Gedeon, Kok Wai Wong, Patrick M. Wong, Zhiheng Huang:
Spatial Interpolation Using Fuzzy Reasoning. Trans. GIS 7(1): 55-66 (2003) - [c1]Zhiheng Huang, Qiang Shen:
A new fuzzy interpolative reasoning method based on center of gravity. FUZZ-IEEE 2003: 25-30
Coauthor Index
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