Wei Chen
Orcid: 0000-0002-7438-5180Affiliations:
- Chinese Academy of Sciences, Institute Of Computing Technology, Beijing, China (since 2022)
- Microsoft Research Asia, Machine Learning Group, Beijing, China (2011-2020)
- Chinese Academy of Sciences, Academy of Mathematics and System Science, Beijing, China (PhD)
- University of Science and Technology of China, Hefei, Anhui, China
According to our database1,
Wei Chen
authored at least 120 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
ACM Trans. Inf. Syst., September, 2024
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense.
CoRR, 2024
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective.
CoRR, 2024
Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.
CoRR, 2024
On the Convergence of Adam under Non-uniform Smoothness: Separability from SGDM and Beyond.
CoRR, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Incorporating NODE with pre-trained neural differential operator for learning dynamics.
Neurocomputing, April, 2023
CoRR, 2023
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Closing the gap between the upper bound and lower bound of Adam's iteration complexity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
J. Syst. Sci. Complex., 2022
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization.
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the International Conference on Machine Learning, 2022
Gradient Information Matters in Policy Optimization by Back-propagating through Model.
Proceedings of the Tenth International Conference on Learning Representations, 2022
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Optimizing Information-theoretical Generalization Bounds via Anisotropic Noise in SGLD.
CoRR, 2021
CoRR, 2021
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior.
CoRR, 2021
Combinatorial Pure Exploration with Bottleneck Reward Function and its Extension to General Reward Functions.
CoRR, 2021
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data.
IEEE Trans. Signal Process., 2020
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks.
CoRR, 2020
CoRR, 2020
Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary.
CoRR, 2020
CoRR, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Neurocomputing, 2019
OptQuant: Distributed training of neural networks with optimized quantization mechanisms.
Neurocomputing, 2019
Training Over-parameterized Deep ResNet Is almost as Easy as Training a Two-layer Network.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Train Feedfoward Neural Network with Layer-wise Adaptive Rate via Approximating Back-matching Propagation.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018
2017
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Dynamic Group Behavior Analysis and Its Application in Network Abnormal Behavior Detection.
Proceedings of the Communications and Networking, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Asynchronous Stochastic Gradient Descent with Delay Compensation for Distributed Deep Learning.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
ACM Trans. Intell. Syst. Technol., 2014
Sampling dilemma: towards effective data sampling for click prediction in sponsored search.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the ACM Conference on Economics and Computation, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
A Game-Theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search.
Proceedings of the IJCAI 2013, 2013
2012
Convergence Analysis for Weighted Joint Strategy Fictitious Play in Generalized Second Price Auction.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009