Haoming Jiang - RankMe

103 papers A* 22A 3B 1Journal 52Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Ask a Strong LLM Judge when Your Reward Model is Uncertain. CoRR Zhenghao Xu, Qin Lu, Qingru Zhang, Liang Qiu, Ilgee Hong, Changlong Yu, Wenlin Yao, Yao Liu, Haoming Jiang, Lihong Li, Hyokun Yun, Tuo Zhao
2025	—	`conf`	Can Language Models Follow Multiple Turns of Entangled Instructions? EMNLP (Findings) Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji
2025	—	`conf`	DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. EMNLP (Findings) Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang
2025	A*	`conf`	Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data. ICML Siqi Guo, Ilgee Hong, Vicente Balmaseda, Changlong Yu, Liang Qiu, Xin Liu, Haoming Jiang, Tuo Zhao, Tianbao Yang
2025	—	`conf`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. NAACL (Long Papers) Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	J	`jnl`	Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. CoRR Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
2025	—	`conf`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. NAACL (Long Papers) Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang
2025	J	`jnl`	IHEval: Evaluating Language Models on Following the Instruction Hierarchy. CoRR Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang
2025	A*	`conf`	Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. EMNLP Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang
2025	J	`jnl`	Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. CoRR Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang
2025	J	`jnl`	RRO: LLM Agent Optimization Through Rising Reward Trajectories. CoRR Zilong Wang, Jingfeng Yang, Sreyashi Nag, Samarth Varshney, Xianfeng Tang, Haoming Jiang, Jingbo Shang, Sheikh Muhammad Sarwar
2025	J	`jnl`	Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only. CoRR Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao
2025	J	`jnl`	Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models. CoRR Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao
2025	J	`jnl`	Two-Step Offline Preference-Based Reinforcement Learning on Explicitly Constrained Policies. Trans. Mach. Learn. Res. Yinglun Xu, Tarun Suresh, Rohan Gumaste, David Zhu, Ruirui Li, Zhengyang Wang, Haoming Jiang, Xianfeng Tang, Qingyu Yin, Monica Xiao Cheng, Qi Zeng, Chao Zhang, Gagandeep Singh
2024	A*	`conf`	Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. NeurIPS Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
2024	J	`jnl`	Adaptive Preference Scaling for Reinforcement Learning with Human Feedback. CoRR Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
2024	A*	`conf`	BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. EMNLP Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024	—	`conf`	Data Diversity Matters for Robust Instruction Tuning. EMNLP (Findings) Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang
2024	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024	J	`jnl`	Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun
2024	A*	`conf`	Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton
2024	A*	`conf`	MEMORYLLM: Towards Self-Updatable Large Language Models. ICML Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley
2024	J	`jnl`	RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li
2024	J	`jnl`	Relational Database Augmented Large Language Model. CoRR Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun
2024	A*	`conf`	Robust Reinforcement Learning from Corrupted Human Feedback. NeurIPS Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao
2024	J	`jnl`	Robust Reinforcement Learning from Corrupted Human Feedback. CoRR Alexander Bukharin, Ilgee Hong, Haoming Jiang, Qingru Zhang, Zixuan Zhang, Tuo Zhao
2023	A*	`conf`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
2023	J	`jnl`	CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
2023	—	`conf`	Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. ACL (industry) Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
2023	—	`conf`	Graph Reasoning for Question Answering with Triplet Retrieval. ACL (Findings) Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
2023	J	`jnl`	Graph Reasoning for Question Answering with Triplet Retrieval. CoRR Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
2023	J	`jnl`	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023	A*	`conf`	HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. ICLR Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
2023	J	`jnl`	HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. CoRR Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bin Yin, Tuo Zhao
2023	—	`conf`	Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu
2023	A*	`conf`	LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023	A*	`conf`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	J	`jnl`	SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
2023	B	`conf`	SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce. IEEE Big Data Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi
2023	J	`jnl`	Situated Natural Language Explanations. CoRR Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
2022	—	`conf`	AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022	A*	`conf`	Condensing Graphs via One-Step Gradient Matching. KDD Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022	J	`jnl`	Condensing Graphs via One-Step Gradient Matching. CoRR Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying
2022	J	`jnl`	Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. CoRR Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
2022	J	`jnl`	DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
2022	—	`conf`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	J	`jnl`	Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022	A*	`conf`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. ICLR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	J	`jnl`	No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2022	A	`conf`	Query Attribute Recommendation at Amazon Search. RecSys Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin
2022	—	`conf`	SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. NAACL-HLT (Findings) Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang
2022	—	`conf`	Self-Training with Differentiable Teacher. NAACL-HLT (Findings) Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2022	J	`jnl`	SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. CoRR Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang
2022	J	`jnl`	Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin
2021	—	`conf`	ARCH: Efficient Adversarial Regularized Training with Caching. EMNLP (Findings) Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	ARCH: Efficient Adversarial Regularized Training with Caching. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	—	`conf`	Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. EMNLP (1) Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	J	`jnl`	Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. CoRR Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
2021	—	`conf`	Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. NAACL-HLT Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
2021	A	`conf`	Learning to Defend by Learning to Attack. AISTATS Haoming Jiang, Zhehui Chen, Yuyang Shi, Bo Dai, Tuo Zhao
2021	—	`conf`	Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. ACL/IJCNLP (1) Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
2021	J	`jnl`	Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. CoRR Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
2021	—	`—`	Reducing Human Labor Cost in Deep Learning for Natural Language Processing. Haoming Jiang
2021	J	`jnl`	Self-Training with Differentiable Teacher. CoRR Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2021	—	`conf`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. ACL/IJCNLP (1) Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	J	`jnl`	Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. CoRR Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
2021	—	`conf`	Token-wise Curriculum Learning for Neural Machine Translation. EMNLP (Findings) Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	J	`jnl`	Token-wise Curriculum Learning for Neural Machine Translation. CoRR Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao
2021	—	`conf`	Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. EMNLP (1) Haoming Jiang, Bo Dai, Mengjiao Yang, Tuo Zhao, Wei Wei
2021	J	`jnl`	Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach. CoRR Haoming Jiang, Bo Dai, Mengjiao Yang, Wei Wei, Tuo Zhao
2020	A*	`conf`	BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. KDD Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
2020	J	`jnl`	BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. CoRR Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
2020	—	`conf`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. EMNLP (1) Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	J	`jnl`	Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data. CoRR Lingkai Kong, Haoming Jiang, Yuchen Zhuang, Jie Lyu, Tuo Zhao, Chao Zhang
2020	A*	`conf`	Deep Reinforcement Learning with Robust and Smooth Policy. ICML Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao
2020	J	`jnl`	Deep Reinforcement Learning with Smooth Policy. CoRR Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao
2020	J	`jnl`	Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. CoRR Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
2020	A*	`conf`	Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing. ACL Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao
2020	A*	`conf`	On the Variance of the Adaptive Learning Rate and Beyond. ICLR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2020	J	`jnl`	Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. CoRR Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao
2020	A*	`conf`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. ACL Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2020	A*	`conf`	Transformer Hawkes Process. ICML Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
2020	J	`jnl`	Transformer Hawkes Process. CoRR Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
2019	—	`conf`	Contextual Text Denoising with Masked Language Model. W-NUT@EMNLP Yifu Sun, Haoming Jiang
2019	J	`jnl`	Contextual Text Denoising with Masked Language Models. CoRR Yifu Sun, Haoming Jiang
2019	J	`jnl`	Designing deployable 3D scissor structures with ball-and-socket joints. Comput. Animat. Virtual Worlds Xuejin Chen, Haoming Jiang, Tingting Xuan, Lihan Huang, Ligang Liu
2019	A*	`conf`	Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. NeurIPS Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
2019	J	`jnl`	Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. CoRR Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
2019	—	`conf`	Learning to Defense by Learning to Attack. DGS@ICLR Zhehui Chen, Haoming Jiang, Yuyang Shi, Bo Dai, Tuo Zhao
2019	A*	`conf`	Meta Learning with Relational Information for Short Sequences. NeurIPS Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	Meta Learning with Relational Information for Short Sequences. CoRR Yujia Xie, Haoming Jiang, Feng Liu, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing. CoRR Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao
2019	—	`conf`	On Computation and Generalization of Generative Adversarial Networks under Spectrum Control. ICLR (Poster) Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao
2019	A	`conf`	On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function. UAI Xingguo Li, Haoming Jiang, Jarvis D. Haupt, Raman Arora, Han Liu, Mingyi Hong, Tuo Zhao
2019	—	`conf`	On Scalable and Efficient Computation of Large Scale Optimal Transport. DGS@ICLR Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	A*	`conf`	On Scalable and Efficient Computation of Large Scale Optimal Transport. ICML Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	On Scalable and Efficient Computation of Large Scale Optimal Transport. CoRR Yujia Xie, Minshuo Chen, Haoming Jiang, Tuo Zhao, Hongyuan Zha
2019	J	`jnl`	On the Variance of the Adaptive Learning Rate and Beyond. CoRR Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han
2019	J	`jnl`	Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. J. Mach. Learn. Res. Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao
2019	J	`jnl`	SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. CoRR Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao
2018	J	`jnl`	Learning to Defense by Learning to Attack. CoRR Zhehui Chen, Haoming Jiang, Bo Dai, Tuo Zhao
2018	J	`jnl`	On Computation and Generalization of GANs with Spectrum Control. CoRR Haoming Jiang, Zhehui Chen, Minshuo Chen, Feng Liu, Dingding Wang, Tuo Zhao