Yikang Shen - RankMe

112 papers A* 32B 3Journal 65Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Toward Unified Expertise: Learning a Single Vision Model From Diverse Perception. IEEE Trans. Pattern Anal. Mach. Intell. Zitian Chen, Mingyu Ding, Yikang Shen, Erik G. Learned-Miller, Chuang Gan
2025	A*	`conf`	API Pack: A Massive Multi-Programming Language Dataset for API Call Generation. ICLR Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
2025	J	`jnl`	Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization. CoRR Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George M. Slota, Naigang Wang, Jie Chen, Yangyang Xu
2025	J	`jnl`	Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization. Trans. Mach. Learn. Res. Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George M. Slota, Naigang Wang, Jie Chen, Yangyang Xu
2025	J	`jnl`	DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format. CoRR Shady Agwa, Yikang Shen, Shiwei Wang, Themis Prodromakis
2025	J	`jnl`	Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen
2025	J	`jnl`	FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference. CoRR Aniruddha Nrusimha, William Brandon, Mayank Mishra, Yikang Shen, Rameswar Panda, Jonathan Ragan-Kelley, Yoon Kim
2025	A*	`conf`	LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation. ICML Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang
2025	J	`jnl`	LaMAGIC2: Advanced Circuit Formulations for Language Model-Based Analog Topology Generation. CoRR Chen-Chia Chang, Wan-Hsuan Lin, Yikang Shen, Yiran Chen, Xin Zhang
2025	B	`conf`	Octo-Planner: On-Device Language Model for Planner-Action Agents. EMAS Wei Chen, Zhiyuan Li, Zhen Guo, Yikang Shen
2025	J	`jnl`	PaTH Attention: Position Encoding via Accumulating Householder Transformations. CoRR Songlin Yang, Yikang Shen, Kaiyue Wen, Shawn Tan, Mayank Mishra, Liliang Ren, Rameswar Panda, Yoon Kim
2025	A*	`conf`	Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study. ICLR Shawn Tan, Songlin Yang, Aaron C. Courville, Rameswar Panda, Yikang Shen
2025	J	`jnl`	Synthetic Data RL: Task Definition Is All You Need. CoRR Yiduo Guo, Zhen Guo, Chuanwei Huang, Zi-Ang Wang, Zekai Zhang, Haofei Yu, Huishuai Zhang, Yikang Shen
2024	J	`jnl`	API Pack: A Massive Multilingual Dataset for API Call Generation. CoRR Zhen Guo, Adriana Meza Soria, Wei Sun, Yikang Shen, Rameswar Panda
2024	—	`conf`	Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2024	A*	`conf`	CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding. ICLR Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan
2024	J	`jnl`	Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
2024	J	`jnl`	Diversity Measurement and Subset Selection for Instruction Tuning Datasets. CoRR Peiqi Wang, Yikang Shen, Zhen Guo, Matthew Stallone, Yoon Kim, Polina Golland, Rameswar Panda
2024	A*	`conf`	Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. NeurIPS Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024	J	`jnl`	Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024	J	`jnl`	Efficient Continual Pre-training by Mitigating the Stability Gap. CoRR Yiduo Guo, Jie Fu, Huishuai Zhang, Dongyan Zhao, Yikang Shen
2024	—	`conf`	FlexAttention for Efficient High-Resolution Vision-Language Models. ECCV (25) Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan
2024	J	`jnl`	FlexAttention for Efficient High-Resolution Vision-Language Models. CoRR Junyan Li, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan
2024	A*	`conf`	Gated Linear Attention Transformers with Hardware-Efficient Training. ICML Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
2024	J	`jnl`	Granite Code Models: A Family of Open Foundation Models for Code Intelligence. CoRR Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, Manish Sethi, Xuan-Hong Dang, Pengyuan Li, Kun-Lung Wu, Syed Zawad, Andrew Coleman, Matthew White, Mark Lewis, Raju Pavuluri, Yan Koyfman, Boris Lublinsky, Maximilien de Bayser, Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Yi Zhou, Chris Johnson, Aanchal Goyal, Hima Patel, Syed Yousaf Shah, Petros Zerfos, Heiko Ludwig, Asim Munawar, Maxwell Crouse, Pavan Kapanipathi, Shweta Salaria, Bob Calio, Sophia Wen, Seetharami Seelam, Brian Belgodere, Carlos A. Fonseca, Amith Singhee, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	J	`jnl`	Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble. CoRR Shun Zhang, Zhenfang Chen, Sunli Chen, Yikang Shen, Zhiqing Sun, Chuang Gan
2024	J	`jnl`	JetMoE: Reaching Llama2 Performance with 0.1M Dollars. CoRR Yikang Shen, Zhen Guo, Tianle Cai, Zengyi Qin
2024	A*	`conf`	LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits. ICML Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang
2024	J	`jnl`	Octo-planner: On-device Language Model for Planner-Action Agents. CoRR Wei Chen, Zhiyuan Li, Zhen Guo, Yikang Shen
2024	A*	`conf`	Parallelizing Linear Transformers with the Delta Rule over Sequence Length. NeurIPS Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim
2024	J	`jnl`	Parallelizing Linear Transformers with the Delta Rule over Sequence Length. CoRR Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim
2024	J	`jnl`	Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler. CoRR Yikang Shen, Matthew Stallone, Mayank Mishra, Gaoyuan Zhang, Shawn Tan, Aditya Prasad, Adriana Meza Soria, David D. Cox, Rameswar Panda
2024	A*	`conf`	SALMON: Self-Alignment with Instructable Reward Models. ICLR Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan
2024	J	`jnl`	Scaling Granite Code Models to 128K Context. CoRR Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda
2024	J	`jnl`	Scattered Mixture-of-Experts Implementation. CoRR Shawn Tan, Yikang Shen, Rameswar Panda, Aaron C. Courville
2024	A*	`conf`	Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. NeurIPS Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
2024	J	`jnl`	Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. CoRR Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
2024	J	`jnl`	Stick-breaking Attention. CoRR Shawn Tan, Yikang Shen, Songlin Yang, Aaron C. Courville, Rameswar Panda
2024	J	`jnl`	Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models. CoRR Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen
2024	A*	`conf`	The Consensus Game: Language Model Generation via Equilibrium Search. ICLR Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
2024	J	`jnl`	The infrastructure powering IBM's Gen AI model development. CoRR Talia Gershon, Seetharami Seelam, Brian Belgodere, Milton Bonilla, Lan Hoang, Danny Barnett, I-Hsin Chung, Apoorve Mohan, Ming-Hung Chen, Lixiang Luo, Robert Walkup, Constantinos Evangelinos, Shweta Salaria, Marc Dombrowa, Yoonho Park, Apo Kayi, Liran Schour, Alim Alim, Ali Sydney, Pavlos Maniotis, Laurent Schares, Bernard Metzler, Bengi Karacali-Akyamac, Sophia Wen, Tatsuhiro Chiba, Sunyanan Choochotkaew, Takeshi Yoshimura, Claudia Misale, Tonia Elengikal, Kevin O. Connor, Zhuoran Liu, Richard Molina, Lars Schneidenbach, James Caden, Christopher Laibinis, Carlos Fonseca, Vasily Tarasov, Swaminathan Sundararaman, Frank B. Schmuck, Scott Guthridge, Jeremy Cohn, Marc Eshel, Paul Muench, Runyu Liu, William Pointer, Drew Wyskida, Bob Krull, Ray Rose, Brent Wolfe, William Cornejo, John Walter, Colm Malone, Clifford Perucci, Frank Franco, Nigel Hinds, Bob Calio, Pavel Druyan, Robert Kilduff, John Kienle, Connor McStay, Andrew Figueroa, Matthew Connolly, Edie Fost, Gina Roma, Jake Fonseca, Ido Levy, Michele Payne, Ryan Schenkel, Amir Malki, Lion Schneider, Aniruddha Narkhede, Shekeba Moshref, Alexandra Kisin, Olga Dodin, Bill Rippon, Henry Wrieth, John Ganci, Johnny Colino, Donna Habeger-Rose, Rakesh Pandey, Aditya Gidh, Aditya Gaur, Dennis Patterson, Samsuddin Salmani, Rambilas Varma, Rumana Rumana, Shubham Sharma, Mayank Mishra, Rameswar Panda, Aditya Prasad, Matt Stallone, Gaoyuan Zhang, Yikang Shen, David Cox, Ruchir Puri, Dakshi Agrawal, Drew Thorstensen, Joel Belog, Brent Tang
2024	A*	`conf`	Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. AAAI Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Zhiqing Sun, Dan Gutfreund, Chuang Gan
2023	A*	`conf`	Adaptive Online Replanning with Diffusion Models. NeurIPS Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
2023	J	`jnl`	Adaptive Online Replanning with Diffusion Models. CoRR Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan
2023	J	`jnl`	Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
2023	J	`jnl`	An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training. CoRR Zitian Chen, Mingyu Ding, Yikang Shen, Wei Zhan, Masayoshi Tomizuka, Erik G. Learned-Miller, Chuang Gan
2023	J	`jnl`	Autonomous Tree-search Ability of Large Language Models. CoRR Zheyu Zhang, Zhuorui Ye, Yikang Shen, Chuang Gan
2023	J	`jnl`	CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding. CoRR Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan
2023	J	`jnl`	Gated Linear Attention Transformers with Hardware-Efficient Training. CoRR Songlin Yang, Bailin Wang, Yikang Shen, Rameswar Panda, Yoon Kim
2023	J	`jnl`	GraphText: Graph Reasoning in Text Space. CoRR Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael M. Bronstein, Zhaocheng Zhu, Jian Tang
2023	A*	`conf`	Hyper-Decision Transformer for Efficient Online Policy Adaptation. ICLR Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan
2023	J	`jnl`	Hyper-Decision Transformer for Efficient Online Policy Adaptation. CoRR Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan
2023	A*	`conf`	Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners. CVPR Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
2023	J	`jnl`	ModuleFormer: Learning Modular Large Language Models From Uncurated Data. CoRR Yikang Shen, Zheyu Zhang, Tianyou Cao, Shawn Tan, Zhenfang Chen, Chuang Gan
2023	A*	`conf`	Planning with Large Language Models for Code Generation. ICLR Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan
2023	J	`jnl`	Planning with Large Language Models for Code Generation. CoRR Shun Zhang, Zhenfang Chen, Yikang Shen, Mingyu Ding, Joshua B. Tenenbaum, Chuang Gan
2023	A*	`conf`	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. NeurIPS Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	J	`jnl`	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision. CoRR Zhiqing Sun, Yikang Shen, Qinhong Zhou, Hongxin Zhang, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	J	`jnl`	SALMON: Self-Alignment with Principle-Following Reward Models. CoRR Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David D. Cox, Yiming Yang, Chuang Gan
2023	J	`jnl`	See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. CoRR Zhenfang Chen, Qinhong Zhou, Yikang Shen, Yining Hong, Hao Zhang, Chuang Gan
2023	A*	`conf`	Sparse Universal Transformer. EMNLP Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
2023	J	`jnl`	Sparse Universal Transformer. CoRR Shawn Tan, Yikang Shen, Zhenfang Chen, Aaron C. Courville, Chuang Gan
2023	A*	`conf`	TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. ICCV Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan
2023	J	`jnl`	TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. CoRR Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan
2023	J	`jnl`	The Consensus Game: Language Model Generation via Equilibrium Search. CoRR Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
2023	A*	`conf`	Transformer-Patcher: One Mistake Worth One Neuron. ICLR Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong
2023	J	`jnl`	Transformer-Patcher: One Mistake worth One Neuron. CoRR Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong
2023	A*	`conf`	Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CVPR Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan
2023	J	`jnl`	Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention. CoRR Mingyu Ding, Yikang Shen, Lijie Fan, Zhenfang Chen, Zitian Chen, Ping Luo, Joshua B. Tenenbaum, Chuang Gan
2022	A*	`conf`	Mixture of Attention Heads: Selecting Attention Heads Per Token. EMNLP Xiaofeng Zhang, Yikang Shen, Zeyu Huang, Jie Zhou, Wenge Rong, Zhang Xiong
2022	J	`jnl`	Mixture of Attention Heads: Selecting Attention Heads Per Token. CoRR Xiaofeng Zhang, Yikang Shen, Zeyu Huang, Jie Zhou, Wenge Rong, Zhang Xiong
2022	J	`jnl`	Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners. CoRR Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik G. Learned-Miller, Chuang Gan
2022	—	`conf`	Phrase-aware Unsupervised Constituency Parsing. ACL (1) Xiaotao Gu, Yikang Shen, Jiaming Shen, Jingbo Shang, Jiawei Han
2022	A*	`conf`	Prompting Decision Transformer for Few-Shot Policy Generalization. ICML Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan
2022	J	`jnl`	Prompting Decision Transformer for Few-Shot Policy Generalization. CoRR Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua B. Tenenbaum, Chuang Gan
2022	J	`jnl`	Syntactic Inductive Biases for Deep Learning Methods. CoRR Yikang Shen
2022	—	`conf`	Unsupervised Dependency Graph Network. ACL (1) Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
2021	—	`conf`	Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2021	A*	`conf`	Learning Task Decomposition with Ordered Memory Policy Network. ICLR Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan
2021	J	`jnl`	Learning Task Decomposition with Ordered Memory Policy Network. CoRR Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron C. Courville, Joshua B. Tenenbaum, Chuang Gan
2021	A*	`conf`	Long Range Arena : A Benchmark for Efficient Transformers. ICLR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2021	A*	`conf`	Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
2021	—	`conf`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. ACL/IJCNLP (1) Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2020	J	`jnl`	Explicitly Modeling Syntax in Language Model improves Generalization. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2020	A*	`conf`	Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. ACL Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang
2020	J	`jnl`	Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. CoRR Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang
2020	J	`jnl`	Long Range Arena: A Benchmark for Efficient Transformers. CoRR Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
2020	—	`conf`	Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
2020	J	`jnl`	Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville
2020	J	`jnl`	StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. CoRR Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler, Aaron C. Courville
2019	J	`jnl`	Investigating Biases in Textual Entailment Datasets. CoRR Shawn Tan, Yikang Shen, Chin-Wei Huang, Aaron C. Courville
2019	A*	`conf`	Ordered Memory. NeurIPS Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	J	`jnl`	Ordered Memory. CoRR Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	—	`conf`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2018	A*	`conf`	BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018	J	`jnl`	BanditSum: Extractive Summarization as a Contextual Bandit. CoRR Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018	J	`jnl`	Biological Event Trigger Identification with Noise Contrastive Estimation. IEEE ACM Trans. Comput. Biol. Bioinform. Nan Jiang, Wenge Rong, Yifan Nie, Yikang Shen, Zhang Xiong
2018	J	`jnl`	Generating Contradictory, Neutral, and Entailing Sentences. CoRR Yikang Shen, Shawn Tan, Chin-Wei Huang, Aaron C. Courville
2018	—	`conf`	Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
2018	J	`jnl`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2018	—	`conf`	Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. ACL (1) Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
2018	J	`jnl`	Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. CoRR Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
2017	A*	`conf`	Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. IJCAI Nan Jiang, Wenge Rong, Min Gao, Yikang Shen, Zhang Xiong
2017	J	`jnl`	Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
2017	J	`jnl`	Self-organized Hierarchical Softmax. CoRR Yikang Shen, Shawn Tan, Christopher Joseph Pal, Aaron C. Courville
2017	A*	`conf`	Word Embedding Based Correlation Model for Question/Answer Matching. AAAI Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong
2016	B	`conf`	Convolutional Neural Network based sentiment analysis using Adaboost combination. IJCNN Yazhi Gao, Wenge Rong, Yikang Shen, Zhang Xiong
2016	B	`conf`	Multidimensional scaling based knowledge provision for new questions in community Question Answering systems. IJCNN Siqi Xiang, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Zhang Xiong
2015	A*	`conf`	Question/Answer Matching for CQA System via Combining Lexical and Sequential Information. AAAI Yikang Shen, Wenge Rong, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong
2015	J	`jnl`	Word Embedding based Correlation Model for Question/Answer Matching. CoRR Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong
2014	—	`conf`	Choosing the Best Auto-Encoder-Based Bagging Classifier: An Empirical Study. ICONIP (1) Yifan Nie, Wenge Rong, Yikang Shen, Chao Li, Zhang Xiong
2014	—	`conf`	Influencing Factors Analysis of People's Answering Behaviours on Social Network Based Questions. UIC/ATC/ScalCom Zhiwei Sun, Wenge Rong, Yikang Shen, Yuanxin Ouyang, Chao Li, Zhang Xiong