Xuchao Zhang - RankMe

123 papers A* 24A 8B 2Misc 2Journal 59Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoAdapt: An Automated Domain Adaptation Framework for LLMs. CoRR Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
2026	J	`jnl`	Budget-Aware Agentic Routing via Boundary-Guided Training. CoRR Caiqi Zhang, Menglin Xia, Xuchao Zhang, Daniel Madrigal, Ankur Mallick, Samuel Kessler, Victor Rühle, Saravan Rajmohan
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	J	`jnl`	Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity. CoRR Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Rühle, Robert Sim, Chetan Bansal, Saravan Rajmohan
2026	J	`jnl`	Provable and Practical In-Context Policy Optimization for Self-Improvement. CoRR Tianrun Yu, Yuxiao Yang, Zhaoyang Wang, Kaixiang Zhao, Porter Jenkins, Xuchao Zhang, Chetan Bansal, Huaxiu Yao, Weitong Zhang
2026	J	`jnl`	Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges. Inf. Fusion Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu
2026	J	`jnl`	Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning. CoRR Shangzhe Li, Xuchao Zhang, Chetan Bansal, Weitong Zhang
2025	A*	`conf`	AMPO: Active Multi Preference Optimization for Self-play Preference Selection. ICML Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2025	J	`jnl`	AMPO: Active Multi-Preference Optimization. CoRR Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2025	J	`jnl`	Adapting Web Agents with Synthetic Supervision. CoRR Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
2025	A*	`conf`	Anyprefer: An Agentic Framework for Preference Data Synthesis. ICLR Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
2025	J	`jnl`	Anyprefer: An Agentic Framework for Preference Data Synthesis. CoRR Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
2025	—	`conf`	CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. ACL (Findings) Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Rahul Madhavan, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
2025	A*	`conf`	CREAM: Consistency Regularized Self-Rewarding Language Models. ICLR Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
2025	J	`jnl`	Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search. CoRR Dongge Han, Menglin Xia, Daniel Madrigal Díaz, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian del Carmen Hipolito Garcia, Jin Xu, Victor Rühle, Saravan Rajmohan
2025	J	`jnl`	Generative Caching for Structurally Similar Prompts and Responses. CoRR Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
2025	J	`jnl`	LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation. CoRR Dongge Han, Camille Couturier, Daniel Madrigal Díaz, Xuchao Zhang, Victor Rühle, Saravan Rajmohan
2025	—	`conf`	Synergistic Weak-Strong Collaboration by Aligning Preferences. ACL (1) Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
2025	J	`jnl`	Synergistic Weak-Strong Collaboration by Aligning Preferences. CoRR Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
2025	A*	`conf`	Triangle: Empowering Incident Triage with Multi-Agent. ASE Zhaoyang Yu, Aoyang Fang, Minghua Ma, Jaskaran Singh Walia, Chaoyun Zhang, Shu Chi, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Shenglin Zhang, Dan Pei, Pinjia He
2025	—	`conf`	Verifiable Format Control for Large Language Model Generations. NAACL (Findings) Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
2025	J	`jnl`	Verifiable Format Control for Large Language Model Generations. CoRR Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
2025	J	`jnl`	cfMethylPre: deep transfer learning enhances cancer detection based on circulating cell-free DNA methylation profiling. Briefings Bioinform. Xuchao Zhang, Jing Chen, Yongtian Wang, Xiaofeng Wang, Jialu Hu, Jiajie Peng, Xuequn Shang, Yanpu Wang, Tao Wang
2025	J	`jnl`	eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization. CoRR Drishti Goel, Raghav Magazine, Supriyo Ghosh, Akshay Nambi, Prathamesh Deshpande, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2024	—	`conf`	Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. SIGSOFT FSE Companion Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
2024	J	`jnl`	Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. CoRR Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
2024	A	`conf`	Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu
2024	—	`conf`	Building AI Agents for Autonomous Clouds: Challenges and Design Principles. SoCC Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024	J	`jnl`	Building AI Agents for Autonomous Clouds: Challenges and Design Principles. CoRR Manish Shetty, Yinfang Chen, Gagan Somashekar, Minghua Ma, Yogesh Simmhan, Xuchao Zhang, Jonathan Mace, Dax Vandevoorde, Pedro Henrique B. Las-Casas, Shachee Mishra Gupta, Suman Nath, Chetan Bansal, Saravan Rajmohan
2024	A*	`conf`	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. NeurIPS Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Y. Zou, Huaxiu Yao
2024	J	`jnl`	CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
2024	J	`jnl`	CREAM: Consistency Regularized Self-Rewarding Language Models. CoRR Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao
2024	—	`conf`	Exploring LLM-Based Agents for Root Cause Analysis. SIGSOFT FSE Companion Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
2024	J	`jnl`	Exploring LLM-based Agents for Root Cause Analysis. CoRR Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
2024	—	`conf`	Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction. EMNLP (Industry Track) Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
2024	—	`conf`	LM-PACE: Confidence Estimation by Large Language Models for Effective Root Causing of Cloud Incidents. SIGSOFT FSE Companion Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
2024	J	`jnl`	REFA: Reference Free Alignment for multi-preference optimization. CoRR Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2024	J	`jnl`	SWEPO: Simultaneous Weighted Preference Optimization for Group Contrastive Alignment. CoRR Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
2024	J	`jnl`	Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	—	`conf`	Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	J	`jnl`	Unveiling Context-Aware Criteria in Self-Assessing LLMs. CoRR Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
2024	—	`conf`	X-Lifecycle Learning for Cloud Incident Management using LLMs. SIGSOFT FSE Companion Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
2024	J	`jnl`	X-lifecycle Learning for Cloud Incident Management using LLMs. CoRR Drishti Goel, Fiza Husain, Aditya Singh, Supriyo Ghosh, Anjaly Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
2023	—	`conf`	AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure. USENIX ATC Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023	A*	`conf`	CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
2023	J	`jnl`	Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023	J	`jnl`	Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance. CoRR Xuchao Zhang, Menglin Xia, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Rühle
2023	J	`jnl`	Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Knowledge-enhanced Neural Machine Reasoning: A Review. CoRR Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023	—	`conf`	LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu
2023	Misc	`conf`	Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023	—	`conf`	Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis. CoRR Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Henrique B. Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
2023	A*	`conf`	Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
2023	J	`jnl`	Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan
2023	—	`conf`	TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2023	J	`jnl`	TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2023	A*	`conf`	Time Series Contrastive Learning with Information-Aware Augmentations. AAAI Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Time Series Contrastive Learning with Information-Aware Augmentations. CoRR Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2022	A*	`conf`	CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
2022	J	`jnl`	Corpus-level and Concept-based Explanations for Interpretable Document Classification. ACM Trans. Knowl. Discov. Data Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2022	—	`conf`	Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
2022	A*	`conf`	DeepGAR: Deep Graph Learning for Analogical Reasoning. ICDM Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022	J	`jnl`	DeepGAR: Deep Graph Learning for Analogical Reasoning. CoRR Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022	J	`jnl`	LANS: Large-scale Arabic News Summarization Corpus. CoRR Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu
2022	B	`conf`	One Document, Many Revisions: A Dataset for Classification and Description of Edit Intents. LREC Dheeraj Rajagopal, Xuchao Zhang, Michael Gamon, Sujay Kumar Jauhar, Diyi Yang, Eduard H. Hovy
2022	J	`jnl`	Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2022	J	`jnl`	SEED: Sound Event Early Detection via Evidential Uncertainty. CoRR Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022	Misc	`conf`	Seed: Sound Event Early Detection Via Evidential Uncertainty. ICASSP Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen
2022	J	`jnl`	Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao
2022	—	`conf`	Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2022	A*	`conf`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021	A*	`conf`	Aspect-based Sentiment Classification via Reinforcement Learning. ICDM Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu
2021	—	`conf`	Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. EMNLP (1) Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021	J	`jnl`	Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation. CoRR Liyan Xu, Xuchao Zhang, Xujiang Zhao, Haifeng Chen, Feng Chen, Jinho D. Choi
2021	J	`jnl`	Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	A	`conf`	Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	A*	`conf`	Multi-Task Recurrent Modular Networks. AAAI Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang
2021	—	`conf`	Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations. BIBM Tao Wang, Zhiyuan Shao, Yifu Xiao, Xuchao Zhang, Yitian Chen, Binze Shi, Siyu Chen, Yuxian Wang, Jiajie Peng, Xuequn Shang
2021	—	`conf`	Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. ICCVW Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu
2021	—	`conf`	Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2021	J	`jnl`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020	J	`jnl`	A Concept-based Abstraction-Aggregation Deep Neural Network for Interpretable Document Classification. CoRR Tian Shi, Xuchao Zhang, Ping Wang, Chandan K. Reddy
2020	J	`jnl`	Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2020	A*	`conf`	Robust Multi-Target Regression for Correlated Data Corruption. ICDM Xuchao Zhang, Yingwen Shao
2020	A*	`conf`	Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
2020	J	`jnl`	Semantic Editing On Segmentation Map Via Multi-Expansion Loss. CoRR Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
2020	A*	`conf`	TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
2020	A	`conf`	Temporal Context-Aware Representation Learning for Question Routing. WSDM Xuchao Zhang, Wei Cheng, Bo Zong, Yuncong Chen, Jianwu Xu, Ding Li, Haifeng Chen
2020	—	`conf`	Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
2019	A	`conf`	Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. CIKM Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla
2019	B	`conf`	Feature driven learning framework for cybersecurity event detection. ASONAM Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	Mitigating Uncertainty in Document Classification. NAACL-HLT (1) Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019	J	`jnl`	Mitigating Uncertainty in Document Classification. CoRR Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019	—	`conf`	Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu
2019	A*	`conf`	Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. KDD Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla
2019	J	`jnl`	Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. ACM Trans. Knowl. Discov. Data Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019	J	`jnl`	Robust Regression via Online Feature Selection under Adversarial Data Corruption. CoRR Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019	—	`—`	Scalable Robust Models Under Adversarial Data Corruption. Xuchao Zhang
2019	A	`conf`	Similarity-Aware Network Embedding with Self-Paced Learning. CIKM Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla
2018	A*	`conf`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. IJCAI Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	J	`jnl`	Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. CoRR Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018	A*	`conf`	Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. ICDM Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	J	`jnl`	Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator. CoRR Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu
2018	A*	`conf`	Robust Regression via Online Feature Selection Under Adversarial Data Corruption. ICDM Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2018	—	`conf`	Situation-Based Interpretable Learning for Personality Prediction in Social Media. IEEE BigData Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu
2018	J	`jnl`	Water Disaggregation via Shape Features based Bayesian Discriminative Sparse Coding. CoRR Bingsheng Wang, Xuchao Zhang, Chang-Tien Lu, Feng Chen
2017	A*	`conf`	Multimodal Storytelling via Generative Adversarial Imitation Learning. IJCAI Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	J	`jnl`	Multimodal Storytelling via Generative Adversarial Imitation Learning. CoRR Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2017	A*	`conf`	Online and Distributed Robust Regressions Under Adversarial Data Corruption. ICDM Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	J	`jnl`	Online and Distributed Robust Regressions under Adversarial Data Corruption. CoRR Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	A*	`conf`	Robust Regression via Heuristic Hard Thresholding. IJCAI Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	A	`conf`	Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. CIKM Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan
2017	—	`conf`	TRACES: Generating Twitter stories via shared subspace and temporal smoothness. IEEE BigData Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017	—	`conf`	Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics. IEEE BigData Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2016	A	`conf`	Automatical Storyline Generation with Help from Twitter. CIKM Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2016	—	`conf`	Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing. IEEE BigData Xuchao Zhang, Zhiqian Chen, Weisheng Zhong, Arnold P. Boedihardjo, Chang-Tien Lu