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ORCIDWei Chen 0034
- > Home > Persons > Wei Chen 0034
Publications
- 2025
[j13]Jiafeng Guo
, Yinqiong Cai, Keping Bi, Yixing Fan, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. ACM Trans. Inf. Syst. 43(2): 35:1-35:25 (2025)- [c68]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. ACL (Findings) 2025: 5081-5097 - [c67]Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. ICLR 2025 - [i81]Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. CoRR abs/2502.18176 (2025) - 2024
- [j12]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [c66]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c65]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. ECAI 2024: 2234-2241 - [c63]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. NeurIPS 2024 - [c62]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. NeurIPS 2024 - [i80]Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
A Unified Causal View of Instruction Tuning. CoRR abs/2402.06220 (2024) - [i79]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i77]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024) - [i76]Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information. CoRR abs/2408.05900 (2024) - [i75]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Generative Retrieval Meets Multi-Graded Relevance. CoRR abs/2409.18409 (2024) - [i74]Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng:
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense. CoRR abs/2410.23091 (2024) - 2023
- [c61]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM 2023: 183-192 - [c60]Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CIKM 2023: 213-223 - [c59]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM 2023: 306-315 - [c58]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656 - [c54]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2023: 1700-1709 - [i73]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023) - [i69]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng:
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. CoRR abs/2306.12756 (2023) - [i68]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CoRR abs/2308.09861 (2023) - [i67]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CoRR abs/2308.11512 (2023) - [i66]Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CoRR abs/2308.12888 (2023) - [i65]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CoRR abs/2308.14968 (2023) - [i63]Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. CoRR abs/2311.02834 (2023) - [i62]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR abs/2312.10329 (2023) - 2022
- [c53]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CIKM 2022: 2128-2137 - [i56]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CoRR abs/2209.06691 (2022)
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