Linyi Yang - RankMe

112 papers A* 18A 2B 4Journal 73Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A AAA-type algorithm for the microwave duplexer filtering. Numer. Algorithms Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Ruwu Xiao
2026	J	`jnl`	AMA: Adaptive Memory via Multi-Agent Collaboration. CoRR Weiquan Huang, Zixuan Wang, Hehai Lin, Sudong Wang, Bo Xu, Qian Li, Beier Zhu, Linyi Yang, Chengwei Qin
2026	J	`jnl`	CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges. CoRR Zi-Han Wang, Lam Nguyen, Zhengyang Zhao, Mengyue Yang, Chengwei Qin, Yujiu Yang, Linyi Yang
2026	J	`jnl`	MemPot: Defending Against Memory Extraction Attack with Optimized Honeypots. CoRR Yuhao Wang, Shengfang Zhai, Guanghao Jin, Yinpeng Dong, Linyi Yang, Jiaheng Zhang
2026	J	`jnl`	Survey on Factuality in Large Language Models. ACM Comput. Surv. Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2025	J	`jnl`	AI Scientists Fail Without Strong Implementation Capability. CoRR Minjun Zhu, Qiujie Xie, Yixuan Weng, Jian Wu, Zhen Lin, Linyi Yang, Yue Zhang
2025	A*	`conf`	An Empirical Analysis of Uncertainty in Large Language Model Evaluations. ICLR Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang
2025	J	`jnl`	An Empirical Analysis of Uncertainty in Large Language Model Evaluations. CoRR Qiujie Xie, Qingqiu Li, Zhuohao Yu, Yuejie Zhang, Yue Zhang, Linyi Yang
2025	J	`jnl`	Anchored Supervised Fine-Tuning. CoRR He Zhu, Junyou Su, Peng Lai, Ren Ma, Wenjia Zhang, Linyi Yang, Guanhua Chen
2025	J	`jnl`	Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning. CoRR Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang
2025	A*	`conf`	CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark. ICLR Jian Wu, Linyi Yang, Zhen Wang, Manabu Okumura, Yue Zhang
2025	A*	`conf`	Constrain Alignment with Sparse Autoencoders. ICML Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2025	A*	`conf`	CycleResearcher: Improving Automated Research via Automated Review. ICLR Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang
2025	J	`jnl`	Deep Research Agents: A Systematic Examination And Roadmap. CoRR Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang
2025	—	`conf`	DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. ACL (1) Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang
2025	J	`jnl`	DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process. CoRR Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang
2025	A*	`conf`	Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. EMNLP Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang
2025	J	`jnl`	Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values. CoRR Hongbo Zhang, Han Cui, Guangsheng Bao, Linyi Yang, Jun Wang, Yue Zhang
2025	J	`jnl`	How Far Are AI Scientists from Changing the World? CoRR Qiujie Xie, Yixuan Weng, Minjun Zhu, Fuchen Shen, Shulin Huang, Zhen Lin, Jiahui Zhou, Zilan Mao, Zijie Yang, Linyi Yang, Jian Wu, Yue Zhang
2025	B	`conf`	How Likely Do LLMs with CoT Mimic Human Reasoning? COLING Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, Linyi Yang, Yue Zhang
2025	A*	`conf`	Human Simulacra: Benchmarking the Personification of Large Language Models. ICLR Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang
2025	J	`jnl`	Interactive Learning for LLM Reasoning. CoRR Hehai Lin, Shilei Cao, Sudong Wang, Haotian Wu, Minzhi Li, Linyi Yang, Juepeng Zheng, Chengwei Qin
2025	J	`jnl`	Introduction to the Special Issue on Evaluations of Large Language Models: Part 1. ACM Trans. Intell. Syst. Technol. Jindong Wang, Linyi Yang, Sunayana Sitaram, Qiang Yang, Bhiksha Raj
2025	J	`jnl`	Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race? CoRR Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang
2025	J	`jnl`	LAG: LLM agents for Leaderboard Auto Generation on Demanding. CoRR Jian Wu, Jiayu Zhang, Dongyuan Li, Linyi Yang, Aoxiao Zhong, Renhe Jiang, Qingsong Wen, Yue Zhang
2025	J	`jnl`	MCEval: A Dynamic Framework for Fair Multilingual Cultural Evaluation of LLMs. CoRR Shulin Huang, Linyi Yang, Yue Zhang
2025	A*	`conf`	MMQA: Evaluating LLMs with Multi-Table Multi-Hop Complex Questions. ICLR Jian Wu, Linyi Yang, Dongyuan Li, Yuliang Ji, Manabu Okumura, Yue Zhang
2025	J	`jnl`	Memento: Fine-tuning LLM Agents without Fine-tuning LLMs. CoRR Huichi Zhou, Yihang Chen, Siyuan Guo, Xue Yan, Kin Hei Lee, Zihan Wang, Ka Yiu Lee, Guchun Zhang, Kun Shao, Linyi Yang, Jun Wang
2025	A	`conf`	Multi-Grained Alignment for Visual Grounding. ICME Hongbing Li, Bo Xiao, Linyi Yang, Xinran Wang, Qi Li
2025	A*	`conf`	Personality Alignment of Large Language Models. ICLR Minjun Zhu, Yixuan Weng, Linyi Yang, Yue Zhang
2025	J	`jnl`	Pre-Training a Graph Recurrent Network for Text Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang
2025	J	`jnl`	Probing the "Psyche" of Large Reasoning Models: Understanding Through a Human Lens. CoRR Yuxiang Chen, Zuohan Wu, Ziwei Wang, Xiangning Yu, Xujia Li, Linyi Yang, Mengyue Yang, Jun Wang, Lei Chen
2025	J	`jnl`	ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning. CoRR Ziyu Wan, Yunxiang Li, Yan Song, Hanjing Wang, Linyi Yang, Mark Schmidt, Jun Wang, Weinan Zhang, Shuyue Hu, Ying Wen
2025	J	`jnl`	Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning? CoRR Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu
2025	J	`jnl`	ResearStudio: A Human-Intervenable Framework for Building Controllable Deep-Research Agents. CoRR Linyi Yang, Yixuan Weng
2025	—	`conf`	ResearStudio: A Human-intervenable Framework for Building Controllable Deep Research Agents. EMNLP (System Demonstrations) Linyi Yang, Yixuan Weng
2025	J	`jnl`	SALA: Semantic alignment and localization alignment for visual grounding. Neurocomputing Hongbing Li, Xinran Wang, Linyi Yang, Qi Li, Bo Xiao
2025	J	`jnl`	See-Control: A Multimodal Agent Framework for Smartphone Interaction with a Robotic Arm. CoRR Haoyu Zhao, Weizhong Ding, Yuhao Yang, Zheng Tian, Linyi Yang, Kun Shao, Jun Wang
2025	J	`jnl`	ThinkBench: Dynamic Out-of-Distribution Evaluation for Robust LLM Reasoning. CoRR Shulin Huang, Linyi Yang, Yan Song, Shuang Chen, Leyang Cui, Ziyu Wan, Qingcheng Zeng, Ying Wen, Kun Shao, Weinan Zhang, Jun Wang, Yue Zhang
2024	—	`conf`	A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. NAACL-HLT Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang
2024	J	`jnl`	A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution. CoRR Bowen Ding, Qingkai Min, Shengkun Ma, Yingjie Li, Linyi Yang, Yue Zhang
2024	J	`jnl`	A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2024	J	`jnl`	A convex dual problem for the rational minimax approximation and Lawson's iteration. Math. Comput. Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang
2024	J	`jnl`	CAP: Data Contamination Detection via Consistency Amplification. CoRR Yi Zhao, Jing Li, Linyi Yang
2024	A*	`conf`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. NeurIPS Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	J	`jnl`	CulturePark: Boosting Cross-cultural Understanding in Large Language Models. CoRR Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
2024	J	`jnl`	CycleResearcher: Improving Automated Research via Automated Review. CoRR Yixuan Weng, Minjun Zhu, Guangsheng Bao, Hongbo Zhang, Jindong Wang, Yue Zhang, Linyi Yang
2024	—	`conf`	Detoxifying Large Language Models via Knowledge Editing. ACL (1) Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
2024	J	`jnl`	Detoxifying Large Language Models via Knowledge Editing. CoRR Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen
2024	J	`jnl`	Direct Preference Optimization Using Sparse Feature-Level Constraints. CoRR Qingyu Yin, Chak Tou Leong, Hongbo Zhang, Minjun Zhu, Hanqi Yan, Qiang Zhang, Yulan He, Wenjie Li, Jun Wang, Yue Zhang, Linyi Yang
2024	A*	`conf`	Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. ICLR Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
2024	J	`jnl`	GenDec: A robust generative Question-decomposition method for Multi-hop reasoning. CoRR Jian Wu, Linyi Yang, Yuliang Ji, Wenhao Huang, Börje F. Karlsson, Manabu Okumura
2024	J	`jnl`	LLMs with Chain-of-Thought Are Non-Causal Reasoners. CoRR Guangsheng Bao, Hongbo Zhang, Linyi Yang, Cunxiang Wang, Yue Zhang
2024	J	`jnl`	Locking Down the Finetuned LLMs Safety. CoRR Minjun Zhu, Linyi Yang, Yifan Wei, Ningyu Zhang, Yue Zhang
2024	—	`conf`	MAGE: Machine-generated Text Detection in the Wild. ACL (1) Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
2024	J	`jnl`	MRKE: The Multi-hop Reasoning Evaluation of LLMs by Knowledge Edition. CoRR Jian Wu, Linyi Yang, Manabu Okumura, Yue Zhang
2024	J	`jnl`	Masked Conditional Variational Autoencoders for Chromosome Straightening. IEEE Trans. Medical Imaging Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang
2024	J	`jnl`	Multivariate confluent Vandermonde with G-Arnoldi and applications. CoRR Lei-Hong Zhang, Ya-Nan Zhang, Linyi Yang, Yifu Wu
2024	—	`conf`	NLP-Based Analysis of Annual Reports: Asset Volatility Prediction and Portfolio Strategy Application. AICS Xiao Li, Yang Xu, Linyi Yang, Yue Zhang, Ruihai Dong
2024	J	`jnl`	On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2024	J	`jnl`	OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models. CoRR Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang
2024	A*	`conf`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2024	J	`jnl`	Personality Alignment of Large Language Models. CoRR Minjun Zhu, Linyi Yang, Yue Zhang
2024	—	`conf`	PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie
2024	A*	`conf`	Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2024	J	`jnl`	The L Adv. Comput. Math. Linyi Yang, Lei-Hong Zhang, Zhang Ya-Nan
2023	J	`jnl`	A Survey on Evaluation of Large Language Models. CoRR Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie
2023	J	`jnl`	A convex dual programming for the rational minimax approximation and Lawson's iteration. CoRR Lei-Hong Zhang, Linyi Yang, Wei Hong Yang, Ya-Nan Zhang
2023	J	`jnl`	Deepfake Text Detection in the Wild. CoRR Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
2023	—	`conf`	Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis. ACL (Findings) Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster
2023	J	`jnl`	Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature. CoRR Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang
2023	—	`conf`	GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective. ACL (Findings) Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2023	A*	`conf`	Graph-Based Video-Language Learning with Multi-Grained Audio-Visual Alignment. ACM Multimedia Chenyang Lyu, Wenxi Li, Tianbo Ji, Longyue Wang, Liting Zhou, Cathal Gurrin, Linyi Yang, Yi Yu, Yvette Graham, Jennifer Foster
2023	—	`conf`	Learning to Generalize for Cross-domain QA. ACL (Findings) Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023	J	`jnl`	Learning to Generalize for Cross-domain QA. CoRR Yingjie Niu, Linyi Yang, Ruihai Dong, Yue Zhang
2023	J	`jnl`	Masked conditional variational autoencoders for chromosome straightening. CoRR Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M. A. van Ooijen, Kang Li, Lin Yang
2023	—	`conf`	Measuring Consistency in Text-based Financial Forecasting Models. ACL (1) Linyi Yang, Yingpeng Ma, Yue Zhang
2023	J	`jnl`	Measuring Consistency in Text-based Financial Forecasting Models. CoRR Linyi Yang, Yingpeng Ma, Yue Zhang
2023	J	`jnl`	On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie
2023	A*	`conf`	Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future. EMNLP Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Jingming Zhuo, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023	J	`jnl`	Out-of-Distribution Generalization in Text Classification: Past, Present, and Future. CoRR Linyi Yang, Yaoxiao Song, Xuan Ren, Chenyang Lyu, Yidong Wang, Lingqiao Liu, Jindong Wang, Jennifer Foster, Yue Zhang
2023	J	`jnl`	PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2023	J	`jnl`	PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie
2023	A*	`conf`	SciMine: An Efficient Systematic Prioritization Model Based on Richer Semantic Information. SIGIR Fang Guo, Yun Luo, Linyi Yang, Yue Zhang
2023	J	`jnl`	Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2023	J	`jnl`	Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. CoRR Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Wenyang Gao, Xuming Hu, Zehan Qi, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2023	J	`jnl`	The L CoRR Linyi Yang, Lei-Hong Zhang, Ya-Nan Zhang
2022	—	`conf`	A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) Jinghui Lu, Linyi Yang, Brian MacNamee, Yue Zhang
2022	J	`jnl`	A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang
2022	J	`jnl`	Challenges for Open-domain Targeted Sentiment Analysis. CoRR Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang
2022	J	`jnl`	Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster
2022	B	`conf`	FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. COLING Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
2022	J	`jnl`	FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. CoRR Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang
2022	J	`jnl`	GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2022	B	`conf`	Human-in-the-loop Robotic Grasping Using BERT Scene Representation. COLING Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang
2022	J	`jnl`	Human-in-the-loop Robotic Grasping using BERT Scene Representation. CoRR Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang
2022	A*	`conf`	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
2022	J	`jnl`	NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth
2022	J	`jnl`	Pre-Training a Graph Recurrent Network for Language Representation. CoRR Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang
2022	J	`jnl`	Towards Fine-grained Causal Reasoning and QA. CoRR Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang
2022	A*	`conf`	USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2022	J	`jnl`	USB: A Unified Semi-supervised Learning Benchmark. CoRR Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
2021	—	`conf`	Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong
2021	J	`jnl`	Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2020	B	`conf`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	J	`jnl`	Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong
2020	A*	`conf`	HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong
2020	A	`conf`	MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM Jiazheng Li, Linyi Yang, Barry Smyth, Ruihai Dong
2019	J	`jnl`	Explainable Text-Driven Neural Network for Stock Prediction. CoRR Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
2018	—	`conf`	Explainable Text-Driven Neural Network for Stock Prediction. CCIS Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong
2017	—	`conf`	Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong