Chenghao Liu

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All published works (36)

Action	Title	Date	Authors
+ PDF Ask	Generating $\pi$-Functional Molecules Using STGG+ with Active Learning	2025-02-20	Alexia Jolicoeur-Martineau Yan Zhang B. A. Knyazev Aristide Baratin Chenghao Liu
+ PDF Ask	Position: Empowering Time Series Reasoning with Multimodal LLMs	2025-02-03	Yaxuan Kong Yiyuan Yang Shiyu Wang Chenghao Liu Yuxuan Liang Ming Jin Stefan Zohren Dan Pei Yan Liu Qingsong Wen
+ PDF Ask	GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection	2025-01-30	Qingxiang Liu Chenghao Liu Sheng Sun Di Yao Yuxuan Liang
+ PDF Ask	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization	2024-11-08	Haoxin Liu Chenghao Liu B. Aditya Prakash
+ PDF Ask	XForecast: Evaluating Natural Language Explanations for Time Series Forecasting	2024-10-18	Taha Aksu Chenghao Liu Amrita Saha Sarah Tan Caiming Xiong Doyen Sahoo
+ PDF Ask	GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation	2024-10-14	Taha Aksu Gerald Woo Juncheng Liu Xu Liu Chenghao Liu Silvio Savarese Caiming Xiong Doyen Sahoo
+ PDF Ask	Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts	2024-10-14	Xu Liu Juncheng Liu Gerald Woo Taha Aksu Yuxuan Liang Roger Zimmermann Chenghao Liu Silvio Savarese Caiming Xiong Doyen Sahoo
+ PDF Ask	VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters	2024-08-30	Mouxiang Chen Lefei Shen Zhuo Li Xiaoyun Joy Wang Jianling Sun Chenghao Liu
+ PDF Ask	UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting	2024-06-07	Juncheng Liu Chenghao Liu Gerald Woo Yiwei Wang Bryan Hooi Caiming Xiong Doyen Sahoo
+ PDF Ask	Bifurcated Generative Flow Networks	2024-06-03	Chunhui Li Chenghao Liu Dianbo Liu Qingpeng Cai Ling Pan
+ PDF Ask	RGFN: Synthesizable Molecular Generation Using GFlowNets	2024-06-01	Michał Koziarski Andrei Rekesh Dmytro Shevchuk Almer M. van der Sloot Piotr Gaiński Yoshua Bengio Chenghao Liu Mike Tyers Robert A. Batey
+ PDF Ask	Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation	2024-05-30	Guillaume Huguet James Vuckovic Kilian Fatras Éric Thibodeau-Laufer Pablo Lemos Riashat Islam Chenghao Liu Jarrid Rector-Brooks Tara Akhound-Sadegh Michael M. Bronstein
+ PDF Ask	Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting	2024-05-23	Qingxiang Liu Xu Liu Chenghao Liu Qingsong Wen Yuxuan Liang
+ PDF Ask	Generative Active Learning for the Search of Small-molecule Protein Binders	2024-05-02	Maksym Korablyov Chenghao Liu Moksh Jain Almer M. van der Sloot Eric Jolicoeur Edward Ruediger Andrei Cristian Nica Emmanuel Bengio Kostiantyn Lapchevskyi Daniel J. St‐Cyr
+ PDF Ask	A Survey on Diffusion Models for Time Series and Spatio-Temporal Data	2024-04-29	Yiyuan Yang Ming Jin Haomin Wen Chaoli Zhang Yuxuan Liang Lintao Ma Yi Wang Chenghao Liu Bin Yang Zenglin Xu
+ PDF Ask	MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network	2024-02-08	Chengzhi Liu Chong Zhong Mingyu Jin Tao Zheng Zihong Luo Chenghao Liu Shuliang Zhao
+ PDF Ask	Iterated Denoising Energy Matching for Sampling from Boltzmann Densities	2024-02-08	Tara Akhound-Sadegh Jarrid Rector-Brooks Avishek Joey Bose Sarthak Mittal Pablo Lemos Chenghao Liu Marcin Sendera Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio
+ PDF Ask	CompeteSMoE -- Effective Training of Sparse Mixture of Experts via Competition	2024-02-04	Quang Pham Giang Do Huy Nguyen TrungTin Nguyen Chenghao Liu Mina Sartipi Binh T. Nguyen Savitha Ramasamy Xiaoli Li Steven C. H. Hoi
+ PDF Ask	Unified Training of Universal Time Series Forecasting Transformers	2024-02-04	Gerald Woo Chenghao Liu Akshat Kumar Caiming Xiong Silvio Savarese Doyen Sahoo
+ PDF Ask	Towards equilibrium molecular conformation generation with GFlowNets	2024-01-01	Alexandra Volokhova Michał Koziarski Álex Hernández-García Chenghao Liu Santiago Miret Pablo Lemos Luca Thiede Zichao Yan Alán Aspuru‐Guzik Yoshua Bengio
+ PDF Ask	OTW: Optimal Transport Warping for Time Series	2023-05-05	Fabian Latorre Chenghao Liu Doyen Sahoo Steven C. H. Hoi
+ PDF Ask	LogAI: A Library for Log Analytics and Intelligence	2023-01-01	Qian Cheng Amrita Saha Wenzhuo Yang Chenghao Liu Doyen Sahoo Steven C. H. Hoi
+ PDF Ask	GFlowNets for AI-Driven Scientific Discovery	2023-01-01	Moksh Jain Tristan Deleu Jason Hartford Chenghao Liu Álex Hernández-García Yoshua Bengio
+ PDF Ask	GFlowNets for AI-driven scientific discovery	2023-01-01	Moksh Jain Tristan Deleu Jason Hartford Chenghao Liu Álex Hernández-García Yoshua Bengio
+ PDF Ask	OTW: Optimal Transport Warping for Time Series	2023-01-01	Fabian Latorre Chenghao Liu Doyen Sahoo Steven C. H. Hoi
+ PDF Ask	PyRCA: A Library for Metric-based Root Cause Analysis	2023-01-01	Chenghao Liu Wenzhuo Yang Himanshu Mittal Manpreet Singh Doyen Sahoo Steven C. H. Hoi
+ PDF Ask	Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization	2023-01-01	Dinghuai Zhang Ricky T. Q. Chen Chenghao Liu Aaron Courville Yoshua Bengio
+ PDF Ask	Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain	2023-01-01	Gerald Woo Chenghao Liu Akshat Kumar Doyen Sahoo
+ PDF Ask	Towards equilibrium molecular conformation generation with GFlowNets	2023-01-01	Alexandra Volokhova Michał Koziarski Álex Hernández-García Chenghao Liu Santiago Miret Pablo Lemos Luca Thiede Zichao Yan Alán Aspuru‐Guzik Yoshua Bengio
+ PDF Ask	Scalar is Not Enough	2022-08-12	Mouxiang Chen Chenghao Liu Zemin Liu Jianling Sun
+ PDF Ask	ETSformer: Exponential Smoothing Transformers for Time-series Forecasting	2022-01-01	Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi
+ PDF Ask	CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	2022-01-01	Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi
+ PDF Ask	Learning Deep Time-index Models for Time Series Forecasting	2022-01-01	Gerald Woo Chenghao Liu Doyen Sahoo Akshat Kumar Steven C. H. Hoi
+ PDF Ask	Merlion: A Machine Learning Library for Time Series	2021-01-01	Aadyot Bhatnagar Paul Kassianik Chenghao Liu Tian Lan Wenzhuo Yang Rowan Cassius Doyen Sahoo Devansh Arpit Sri Subramanian Gerald Woo
+ PDF Ask	Modeling Dynamic Attributes for Next Basket Recommendation	2021-01-01	Yongjun Chen Jia Li Chenghao Liu Chenxi Li M. Anderle Julian McAuley Caiming Xiong
+ PDF Ask	RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design	2020-01-01	Chenghao Liu Maksym Korablyov Stanisław Jastrzȩbski Paweł Włodarczyk-Pruszyński Yoshua Bengio Marwin Segler

Common Coauthors

Coauthor	Papers Together
Doyen Sahoo	10
Steven C. H. Hoi	9
Gerald Woo	9
Yoshua Bengio	7
Caiming Xiong	7
Akshat Kumar	5
Pablo Lemos	4
Silvio Savarese	4
Doyen Sahoo	4
Yuxuan Liang	4
Álex Hernández-García	4
Michał Koziarski	3
Jarrid Rector-Brooks	3
Taha Aksu	3
Juncheng Liu	3
Amrita Saha	3
Qingsong Wen	3
Moksh Jain	3
Santiago Miret	2
Avishek Joey Bose	2
Stanisław Jastrzȩbski	2
Jason Hartford	2
Wenzhuo Yang	2
Maksym Korablyov	2
Michael M. Bronstein	2
Ming Jin	2
Xu Liu	2
Jianling Sun	2
Qingxiang Liu	2
Zichao Yan	2
Tristan Deleu	2
Tara Akhound-Sadegh	2
Mouxiang Chen	2
Alexandra Volokhova	2
Alexander Tong	2
Alán Aspuru‐Guzik	2
Luca Thiede	2
Mike Tyers	2
Yoshua Bengio	2
Marwin Segler	2
Fabian Latorre	2
Almer M. van der Sloot	2
Yiyuan Yang	2
Manpreet Singh	2
Dianbo Liu	1
Emmanuel Bengio	1
Victor Ion Butoi	1
Shiyu Wang	1
Sukumar Maddineni	1
Lintao Ma	1

Commonly Cited References

Action	Title	Date	Authors	# of times referenced
+	Two problems with variational expectation maximisation for time series models	2011-08-11	Richard E. Turner Maneesh Sahani	1
+ PDF Ask	Topics in Optimal Transportation	2003-03-25	Cédric Villani	1
+ PDF Ask	Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence	1999-07-30	Kathryn Blackmond Laskey Henri Prade	1
+ PDF Ask	Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E. I. George, and a rejoinder by the authors	1999-11-01	Jennifer A. Hoeting David Madigan Adrian E. Raftery Chris Volinsky	1
+	Fast context-aware recommendations with factorization machines	2011-07-24	Steffen Rendle Zeno Gantner Christoph Freudenthaler Lars Schmidt-Thieme	1
+ PDF Ask	Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data	2012-05-30	Christopher Drovandi James McGree A. N. Pettitt	1
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933-12-01	W. R THOMPSON	1
+	Bayesian approach to global optimization and application to multiobjective and constrained problems	1991-07-01	J. B. Mockus L. J. Mockus	1
+	Calculation of the Wasserstein Distance Between Probability Distributions on the Line	1974-09-01	S. S. Vallender	1
+	Automatic Time Series Forecasting: The<b>forecast</b>Package for<i>R</i>	2008-01-01	Rob Hyndman Yeasmin Khandakar	1
+ PDF Ask	Sequence to Sequence Learning with Neural Networks	2014-01-01	Ilya Sutskever Oriol Vinyals Quoc V. Le	1
+	Hybrid Monte Carlo on Hilbert spaces	2011-06-27	Alexandros Beskos F. J. Pinski J. M. Sanz‐Serna Andrew M. Stuart	1
+ PDF Ask	Time Warp Edit Distance with Stiffness Adjustment for Time Series Matching	2009-01-14	Pierre-François Marteau	1
+ PDF Ask	Analysis of Agglomerative Clustering	2012-12-11	Marcel R. Ackermann Johannes Blömer Daniel Kuntze Christian Sohler	1
+ PDF Ask	Deep Residual Learning for Image Recognition	2016-06-01	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Introduction to Global Optimization	2000-01-01	Reiner Horst Pãnos M. Pardalos Nguyễn Văn Thoại	1
+ PDF Ask	Fast Matrix Factorization for Online Recommendation with Implicit Feedback	2016-07-07	Xiangnan He Hanwang Zhang Min‐Yen Kan Tat‐Seng Chua	1
+ PDF Ask	Unbiased Learning-to-Rank with Biased Feedback	2017-02-02	Thorsten Joachims Adith Swaminathan Tobias Schnabel	1
+ PDF Ask	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017-01-01	Alex Kendall Yarin Gal	1
+ PDF Ask	Neural Message Passing for Quantum Chemistry	2017-01-01	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+ PDF Ask	Planning chemical syntheses with deep neural networks and symbolic AI	2018-03-01	Marwin Segler Mike Preuß Mark P. Waller	1
+ PDF Ask	Artificial Intelligence and Statistics	2017-01-01	Bin Yu Karl Kumbier	1
+ PDF Ask	Self-Attention with Relative Position Representations	2018-03-06	Peter Shaw Jakob Uszkoreit Ashish Vaswani	1
+ PDF Ask	xDeepFM	2018-07-19	Jianxun Lian Xiaohuan Zhou Fuzheng Zhang Zhongxia Chen Xing Xie Guangzhong Sun	1
+ PDF Ask	Unbiased Learning to Rank with Unbiased Propensity Estimation	2018-06-27	Qingyao Ai Keping Bi Cheng Luo Jiafeng Guo W. Bruce Croft	1
+ PDF Ask	A Click Sequence Model for Web Search	2018-06-27	Alexey Borisov Martijn Wardenaar Ilya Markov Maarten de Rijke	1
+	The M4 Competition: Results, findings, conclusion and way forward	2018-06-21	Spyros Makridakis Evangelos Spiliotis Vassilios Assimakopoulos	1
+ PDF Ask	Unbiased Learning-to-Rank with Biased Feedback	2018-07-01	Thorsten Joachims Adith Swaminathan Tobias Schnabel	1
+ PDF Ask	Intervention Harvesting for Context-Dependent Examination-Bias Estimation	2019-07-18	Zhichong Fang Aman Agarwal Thorsten Joachims	1
+ PDF Ask	Machine Learning of Coarse-Grained Molecular Dynamics Force Fields	2019-04-15	Jiang Wang Simon Olsson Christoph Wehmeyer Adrià Pérez Nicholas E. Charron Gianni De Fabritiis Frank Noé Cecilia Clementi	1
+ PDF Ask	Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm	2019-05-13	Ziniu Hu Yang Wang Peng Qu Hang Li	1
+ PDF Ask	Time-Series Anomaly Detection Service at Microsoft	2019-07-25	Hansheng Ren Bixiong Xu Yujing Wang Chao Yi Congrui Huang Xiaoyu Kou Tony Xing Mao Yang Jie Tong Qi Zhang	1
+ PDF Ask	GuacaMol: Benchmarking Models for de Novo Molecular Design	2019-03-19	Nathan Brown Marco Fiscato Marwin Segler Alain C. Vaucher	1
+	Bayesian structure learning using dynamic programming and MCMC	2012-06-20	Daniel Eaton Kevin J. Murphy	1
+ PDF Ask	A General Framework for Counterfactual Learning-to-Rank	2019-07-18	Aman Agarwal Kenta Takatsu Ivan Zaitsev Thorsten Joachims	1
+ PDF Ask	Boltzmann Exploration Done Right	2017-12-04	Nicolò Cesa‐Bianchi Claudio Gentile Gábor Lugosi Gergely Neu	1
+ PDF Ask	Constrained Graph Variational Autoencoders for Molecule Design	2018-05-23	Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt	1
+ PDF Ask	Neural Factorization Machines for Sparse Predictive Analytics	2017-07-28	Xiangnan He Tat‐Seng Chua	1
+ PDF Ask	Self-Attentive Sequential Recommendation	2018-11-01	Wang-Cheng Kang Julian McAuley	1
+ PDF Ask	Attention is All you Need	2017-06-12	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+ PDF Ask	D3TW: Discriminative Differentiable Dynamic Time Warping for Weakly Supervised Action Alignment and Segmentation	2019-06-01	Chien-Yi Chang De-An Huang Yanan Sui Li Fei-Fei Juan Carlos Niebles	1
+ PDF Ask	Graph Attention Networks	2018-02-15	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+ PDF Ask	Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks	2017-07-28	Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Fei Wu Tat‐Seng Chua	1
+ PDF Ask	Analyzing Learned Molecular Representations for Property Prediction	2019-07-30	Kevin Yang Kyle Swanson Wengong Jin Connor W. Coley Philipp Eiden Hua Gao Angel Guzmán-Pérez Timothy Hopper Brian P. Kelley Miriam Mathea	1
+ PDF Ask	Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models	2019-01-01	Vincent Le Guen Nicolas Thome	1
+ PDF Ask	Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning	2019-09-05	Frank Noé Simon Olsson Jonas Köhler Hao Wu	1
+ PDF Ask	Spatio-Temporal Alignments: Optimal transport through space and time	2019-01-01	Hicham Janati Marco Cuturi Alexandre Gramfort	1
+ PDF Ask	World Programs for Model-Based Learning and Planning in Compositional State and Action Spaces.	2019-12-30	Marwin Segler	1
+ PDF Ask	D\'ej\`a vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation	2020-01-29	Jibang Wu Renqin Cai Hongning Wang	1
+ PDF Ask	Eliminating Search Intent Bias in Learning to Rank	2020-02-01	Yingcheng Sun Richard Kolacinski Kenneth A. Loparo	1